Integration

Integration Finance Jobs

17 jobs found

Today

Lead Product Owner, Finance Applications

Harvey New York, NY

New York, NY

Today

$175k - $226k/yr Full time Accounting Accounting Software Ai Workflows

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Job Description

Harvey is seeking a finance applications product leader to own finance systems and workflows across the organization as it scales globally.

Product Ownership: Act as product owner for one or more core finance business process areas, including order-to-cash, procure-to-pay, and/or record-to-report, plus the systems that support them
Discovery to Roadmap: Lead discovery with process owners, define target-state process and system design, own the roadmap, and measure success using value-added outcomes and accuracy
Own Complex Problems: Lead the hardest domain challenges where there is no established configuration pattern
Finance Applications Architecture: Maintain a holistic architecture strategy for the finance ecosystem, including system boundaries, data movement between systems, and short-, mid-, and long-term planning
Integrations and Handoffs: Collaborate with owners of adjacent enterprise systems, including Workday and Salesforce, to deliver integrations and handoffs finance depends on
Automation and Workflow Modernization: Identify manual work and eliminate it by replacing spreadsheets, manual data entry, and email-based approvals with configuration, automated workflows, and integrations
Tooling Evaluation: Evaluate new functionality across existing and new tooling to determine best fit for Harvey
NetSuite and Ledger Feeds: Configure, maintain, and optimize NetSuite; based on business process ownership, own the spend and revenue workflows that feed the ledger
Spend and Revenue Workflow Ownership:
- Own spend and revenue workflows including Zip intake and approvals
- Own Ramp and Brex card programs and expenses
- Own Metronome usage ingestion and downstream invoicing logic
- Shape future tooling for advanced revenue recognition
AI and Automation Opportunities: Identify, test, and implement practical AI and automation opportunities within owned processes in a controlled manner, with clear impact on time savings and reduced manual output
Application Quality and Delivery: Own quality for the applications with a lightweight SDLC approach that balances accuracy and agility
Enablement for Peers: Partner with leadership to establish best practices and act as mentor and escalation point for peers across Finance and Business Technology on portfolio hardest design questions

Requirements

7+ years hands-on experience as a finance systems professional
5+ years direct NetSuite experience, including complex configuration depth and support for a global, multi-entity, multi-currency finance organization
Product owner/manager experience in at least one core finance business process area (order-to-cash, procure-to-pay, and/or record-to-report), including discovery with process owners, target-state process design, proposing tradeoffs or workarounds, and owning a roadmap through delivery
Excellent communication and stakeholder management across business and technology organizations
Track record mentoring peers, setting technical standards, or being the expert others escalate to on difficult problems
Demonstrated ability to solve ambiguous, high-stakes process problems without an existing playbook, with high autonomy and appropriate escalation on high-impact decisions
Deep understanding of leading and emerging trends in SaaS finance applications and architecture, including where automation and AI drive innovation
Direct experience implementing best practices around change management, regression and UAT planning, segregation of duties, and regulatory requirements while improving efficiency

Technologies

NetSuite
Zip
Ramp
Brex
Metronome
Workday
Salesforce
AI
SDLC
UAT

Benefits

Offers Equity
Offers Bonus
Comprehensive health, dental and vision coverage
Retirement benefits (401k match up to 4%)
Flexible PTO
Eligible to participate in the equity plan and benefits program

Location: New York, NY (onsite)

Employment Type: Full time

Department: IT

Compensation: USD 175,000 - 225,500 per yearly (offers equity, offers bonus)

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3d ago

Lead Data Engineer, Ad Sales & Finance

Versant Media New York, NY

New York, NY

3d ago

$170k - $190k/yr Full time Manager Big Data Bigdata

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Job Description

Versant Media is seeking a Lead Data Engineer to support distributed delivery of trusted, scalable data products from source ingestion through the Silver layer. The role emphasizes engineering leadership, end-to-end pipeline ownership, and data quality, governance, and operating model practices to enable downstream analytics, reporting, AI, and operational use.

Location

New York, NY (onsite)

Compensation

USD 170,000 - 190,000 per yearly

Experience

8+ years

Role Responsibilities

Lead and develop a distributed/offshore team of Data Engineers delivering from source ingestion through curated Silver-layer data products.
Convert product roadmaps and requirements into engineering plans, including milestones, estimates, dependencies, and delivery commitments.
Design and oversee ingestion, standardized transformations, orchestration, and publication of data from operational, SaaS, file, streaming, API, and partner sources.
Ensure Silver-layer products are validated, standardized, documented, reusable, performant, secure, and ready for Gold-layer analytics and AI consumption.
Establish repeatable processing patterns for batch, incremental, change-data-capture, and event-driven workflows.
Build reusable engineering frameworks, templates, libraries, and pipeline patterns that reduce repeated effort across products and domains.
Apply modern engineering practices, including source control, peer review, automated testing, CI/CD, observability, release management, and incident remediation.
Define and maintain standards for naming, partitioning, schema evolution, error handling, replay/recovery, performance, cost management, and documentation.
Partner with the Data Platform team to align with approved patterns for workspace, compute, storage, security, and deployment.
Identify technical debt and lead pragmatic improvements that increase delivery speed, reliability, and maintainability.
Work with Data Modelers to implement canonical entities, conformed dimensions, data contracts, source-to-target mappings, and enterprise modeling standards.
Collaborate with Product Managers and domain leaders to clarify intended outcomes, source-system realities, priority use cases, and acceptance criteria.
Coordinate dependencies with source-system owners, platform teams, analytics teams, and external partners.
Set up data profiling, reconciliation, quality testing, freshness monitoring, lineage, and alerting for each delivered data product.
Ensure source-to-Silver traceability, including authoritative source identification, transformation logic, ownership, metadata, and data-quality expectations.
Implement access controls and sensitive-data practices, including classification, masking, retention, and regional/data-residency requirements.
Drive resolution of data defects, schema changes, pipeline failures, and quality issues through clear ownership and service-level expectations.
Establish team priorities, technical direction, delivery expectations, and quality standards.
Coach engineers in data engineering, cloud development, testing, and observability, with product-oriented delivery practices.
Create and maintain an onshore/offshore delivery model with defined handoffs, overlap hours, documentation standards, ceremonies, and escalation paths.
Communicate delivery progress, risks, tradeoffs, and decisions to technical and business stakeholders.
Build a culture focused on ownership, continuous improvement, and reliable execution.

Required Qualifications

8+ years of data engineering, software engineering, or data-platform experience, including 2+ years leading engineers, technical workstreams, or large-scale delivery.
Proven experience designing and delivering enterprise-scale ingestion and transformation pipelines.
Strong hands-on expertise in SQL, Python, Spark/PySpark, and modern ELT/ETL patterns.
Experience with Databricks, Delta Lake, or a comparable lakehouse platform, plus experience with cloud storage, orchestration, and CI/CD.
Strong understanding of Bronze/Silver/Gold (or equivalent layered data-platform) patterns.
Experience implementing production practices for data quality, observability, lineage, metadata, and support.
Ability to partner with architects, data modelers, product leaders, and domain stakeholders.
Experience leading distributed teams and building delivery practices across time zones.
Strong communication skills, including the ability to explain technical choices, risks, and tradeoffs to non-technical stakeholders.
Experience with Unity Catalog or comparable governance, catalog, and access-control capabilities.
Experience with data contracts, schema evolution, change data capture, APIs, event streaming, and large-volume data processing.
Experience supporting multiple data domains, global data products, or regional/data-residency requirements.
Experience with infrastructure-as-code, DataOps, and automated environment provisioning.
Experience supporting a regulated, high-scale, or operationally sensitive environment.

Technologies

SQL, Python
Spark, PySpark
ELT/ETL
Databricks, Delta Lake
CI/CD
Bronze/Silver/Gold
Unity Catalog
APIs, event streaming
Infrastructure-as-code, DataOps

Additional Information

External candidates may be required to attend an in-person interview with a Versant Media employee at one of its locations prior to a hiring decision.
Versant Media provides equal employment opportunities regardless of protected status under applicable law.
Reasonable accommodation is available for qualified individuals with disabilities or disabled veterans during the application and/or recruitment process. Submit requests to candidateaccessibility@versantmedia.com.
Versant Media is committed to fair and equitable compensation practices and shares a good faith pay range; actual compensation is based on skills, qualifications, experience, and location, and may include additional compensation and benefits.
Versant Media does not accept unsolicited assistance from search firms. Resumes submitted without a valid written Statement of Work will be treated as the sole property of Versant, and no fee will be paid if the candidate is hired.

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3d ago

Data Engineer, Data Infrastructure and Generative Intelligence - AIGC Finance

Amazon.com Services LLC New York, NY

New York, NY

3d ago

$145k - $197k/yr Full time Amazon Web Services Analytics Artificial Intelligence

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Job Description

Join the AIGC DIGI team as a Data Engineer focused on building analytical data infrastructure for Amazon Ads finance stakeholders.

Responsibilities

Review business needs and the existing tech stack/data landscape, then design, redesign, implement, and build analytical data infrastructure for multiple ads businesses
Partner with upstream and data partner teams to support reliable data solutions for the AIGC finance analytics environment
Manage AWS resources including EC2, EMR, S3, Glue, and Redshift
Coordinate with other technology teams to extract, transform, and load data from a wide variety of source systems
Explore and adopt new AWS technologies to expand capabilities and improve efficiency
Collaborate with and support Business Intelligence Engineers (BIEs) on reporting and analysis best practices, including data integrity, test design, analysis, validation, and documentation
Work with stakeholders to define requirements based on business questions and deliver scalable data solutions
Continuously improve ongoing reporting and analysis processes by automating or simplifying self-service support for customers

Requirements

3+ years of data engineering experience
1+ years developing and operating large-scale data structures for BI analytics using ETL/ELT
1+ years developing and operating large-scale data structures for BI analytics using OLAP technologies
1+ years developing and operating large-scale data structures for BI analytics using data modeling
1+ years developing and operating large-scale data structures for BI analytics using SQL
1+ years developing and operating large-scale data structures for BI analytics using Oracle
3+ years in the job offered or related occupation experience
1+ years developing and operating large-scale data structures for BI analytics using ETL (Extract, Transform, Load) / ELT (Extract, Load, Transform)
Bachelor’s degree (or foreign equivalent) in Computer Science, Engineering, Information Systems, Mathematics, or related field
Experience with data modeling, warehousing, and building ETL pipelines

Technical Skills / Tools

AWS: EC2, EMR, S3, Glue, Redshift
Data & query: SQL, ETL, ELT, OLAP
Data engineering: data modeling, ETL pipelines
Additional AWS services: Kinesis, FireHose, Lambda, IAM roles and permissions
Data stores: non-relational databases; object storage; document or key-value stores; graph databases; column-family databases

Preferred Qualifications

Experience with AWS technologies such as Redshift, S3, AWS Glue, EMR, Kinesis, FireHose, Lambda, and IAM roles and permissions
Experience with non-relational databases/data stores, including object storage, document or key-value stores, graph databases, and column-family databases

Benefits

Sign-on payments
Restricted stock units (RSUs)
Health insurance (medical, dental, vision, prescription), Basic Life & AD&D insurance, option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage
401(k) matching
Paid time off
Parental leave

Team Overview

Builds and operates scalable data infrastructure and AI solutions for finance and business stakeholders across AIGC
Works closely with the APM Advertising Finance team supporting publishers including Stores, Amazon Business, Books, Grocery/Physical Store, Devices, Video, and Audio
Focuses on accelerating top-line revenue and improving profitability by evaluating ad supply monetization and utilization, product feature or sales package adoption, campaign performance, and other growth drivers

Location: New York, NY (onsite)

Compensation: USD 145,300 - 196,600 per yearly

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1mo ago

Principal Financial Systems & Data Analyst

Luminize San Diego, CA

San Diego, CA

1mo ago Closed

$140k - $170k/yr Full time Accounting Software Apache Airflow Bigquery

This position is no longer accepting applications (closed Sep 19, 2026).

Job Description

Own Luminize’s financial data strategy and build the systems and reporting layer that finance and accounting rely on.

Responsibilities

Migrate financial and operational data, including Amazon Seller Central sales, warehouse, product, and inventory, into BigQuery as the company’s central system of record
Set data governance standards and partner with engineering to define schema and deliver reliable data pipelines
Collaborate with brand, supply chain, and FP&A leaders to convert ambiguous business questions into data models, reporting specifications, and dashboard designs
Create executive dashboards, scorecards, and self-service BI tools using Advanced SQL and platforms such as BigQuery, Snowflake, Looker, Power BI, or Tableau
Lead the technical evaluation and implementation of an enterprise ERP and FP&A platform (NetSuite, Sage Intacct, SAP Business One, or similar)
Drive financial systems automation using tools like Zapier, Make.com, dbt, and Airflow, incorporating AI-enabled reporting and forecasting where it adds value
Act as the primary financial systems liaison across finance, accounting, operations, supply chain, and technology, reconciling reports against source systems before stakeholder delivery

Requirements

8+ years experience with financial systems, including a track record building FP&A and financial reporting infrastructure from the ground up
Advanced SQL skills plus hands-on experience with data warehousing and BI platforms (BigQuery, Snowflake, Looker, Power BI, or Tableau)
Experience evaluating or implementing ERP systems (NetSuite, Sage Intacct, SAP Business One, or similar) preferred
Direct experience with Amazon Seller Central financial data and FBA/FBM inventory and sales integrations strongly preferred
Business partnering strengths: clarify the question behind data requests and explain results in plain language for non-technical stakeholders
Bachelor’s degree in Finance, Accounting, Economics, or a related field (or equivalent experience)

Technologies

BigQuery, Snowflake, Looker, Power BI, Tableau
Advanced SQL
NetSuite, Sage Intacct, SAP Business One
Zapier, Make.com, dbt, Airflow
AI-enabled reporting and forecasting

Benefits

Comprehensive medical coverage: choose from multiple plans through Anthem Blue Cross
Dental & vision, including orthodontia and annual exams
Pet benefits: savings on vet care, products, and services
Paid vacation: accrue 120 hours per year with rollover
Paid holidays and sick time
401(k) with company match

Work From Symphony Towers

Panoramic city and coastline views
Free building gym access
Exclusive discounts at tower restaurants and cafes
Secure bike storage
24/7 paid parking downtown, blocks from the office
Steps from 100+ top-rated bars, restaurants, coffee shops, and Petco Park

An Office You’ll Actually Want to Be In

Ergonomic standing desks and premium workstations
Fully stocked kitchen with snacks and espresso
Monthly all-company lunches
A team lounge with pool table and games
Bright, modern, collaborative space designed for focus and connection

Compensation Transparency

Salary range: $140,000 - $170,000 per year, based on experience, skill sets, and leadership depth.

Growth & Career Opportunities at Luminize

Mentorship from experienced managers during 1:1s and annual performance reviews
Cross-functional exposure across content, brand management, software, supply chain, operations, and catalog
Learning resources including Udemy course access and additional training programs and courses
A culture that supports asking questions, trying new things, and leveling up together

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2mo ago

Financial Data Engineer

Equifax St. Louis, MO

St. Louis, MO

2mo ago Closed

Full time Python Apache Airflow Artificial Intelligence

This position is no longer accepting applications (closed Aug 11, 2026).

Job Description

Equifax Workforce Solutions Finance offers a pathway to design and scale data solutions that move from prototype to production with minimal friction. In this role you will own all Workforce Solutions Financial data elements, shaping an optimized environment that drives actionable insights and advances the business. This onsite position is based in St. Louis, Missouri.

Benefits

Comprehensive compensation
Healthcare packages
401k matching
Paid time off
Growth opportunities through an online learning platform with guided career tracks

Responsibilities

Assist in the design and implementation of Equifax Workforce Solutions Finance data models in GCP
Contribute to strategies, standards, and best practices for data access and integration within GCP
Provide recommendations to increase data utilization based on the data delivery environment
Collaborate with Technology, Security, Data Governance, and IT Operations to accelerate movement of key Financial data assets to GCP
Stay current with the evolving GCP technology landscape and share knowledge with the team
Support the technology roadmap and architectural discussions, translating business vision into scalable engineering deliverables within an Agile framework
Orchestrate automated data workflows and processes using Python, Airflow, Jenkins and/or Astronomer to reduce manual intervention and boost efficiency
Engage in rigorous software development activities, including unit tests and code deployments, performing code reviews to maintain codebase health
Research and evaluate emerging data sources and technologies including ML, AI and RPA to enhance the data strategy and outputs for Finance
Partner with governance and compliance professionals to ensure ethical and legal data use and maintain precise data lineage
Work with IT Centers of Excellence to refine ETL toolsets and improve cycle time and system performance
Author training materials and lead sessions to educate internal teams on data strategy, operating models, and evolving capabilities
Deconstruct complex problems into actionable data components to drive evidence-based solutions
Triage product or system issues, performing root-cause analyses and implementing short- and long-term solutions
Orchestrate automated data workflows and processes using Python, Spark, Airflow, Jenkins and/or Astronomer to maximize efficiency

Requirements

Bachelor degree in Computer Science, Information Systems, Statistics, Economics, or a quantitative field with strong programming emphasis
5+ years of experience building, loading, transforming, and analyzing data across database platforms and other data stores
5+ years of experience working in GCP or a similar cloud environment
5+ years of scripting and coding experience
Proficiency in Python, SQL, BigQuery, and Airflow / Cloud Composer

Technologies

GCP (Google Cloud Platform)
Python
Airflow
Jenkins
Astronomer
Spark
SQL
BigQuery
Cloud Composer
Tableau
Looker
Spotfire
ML
AI
RPA

About Equifax

Equifax is a global data, analytics, and technology company that supports informed decision making for employers, financial institutions, and government agencies. The organization focuses on career development, learning, and building an inclusive environment that recognizes and supports its people. Equifax is committed to equal opportunity in employment and welcomes applicants from diverse backgrounds.

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2mo ago

Senior Data Analyst - Finance

M. A. Mortenson Company Minneapolis, MN

Minneapolis, MN

2mo ago Closed

$96k - $145k/yr Full time Senior Analyst Analytics

This position is no longer accepting applications (closed Aug 6, 2026).

Job Description

In Minneapolis, the role operates within a hybrid work framework, supporting Finance reporting and analytics by engineering trusted datasets and semantic models in Microsoft Fabric and Power BI. This position collaborates with Finance leaders, data consumers, and cross-functional teams to translate business questions into governed metrics, performant models, and self-serve visuals that drive informed decision making.

Responsibilities

Facilitate cross-functional conversations in a collaborative, team-based setting to capture reporting needs.
Design and develop intuitive Power BI reports and dashboards that empower Finance leadership and teams to make informed decisions.
Translate requirements into effective visuals, tooltips, drill paths, and narrative elements that highlight key drivers and exceptions.
Apply visualization standards for layout and KPI definitions, and optimize report performance through model usage and visuals tuning.
Design, build, and maintain Fabric/Power BI semantic models (star schemas, relationships, calculation groups) to enable consistent, trusted reporting.
Engineer reusable DAX measures and KPI definitions; document metric logic to align with Finance definitions and standards.
Develop reliable data shaping pipelines (SQL, Power Query, Dataflows Gen2) with reconciliations to validate completeness and accuracy.
Manage Fabric/Power BI workspaces, semantic models, and refresh processes in coordination with BI platform administrators.
Adopt CI/CD practices, contribute to release and validation processes, and pursue improvements to deployment workflows.
Monitor model and report performance, refresh reliability, and scalability; troubleshoot issues with durable, sustainable fixes.
Implement security patterns (RLS/OLS), access controls, and governance-aligned practices for Finance reporting solutions.
Collaborate with stakeholders to understand reporting requirements and provide training, documentation, and guidance.
Serve as a trusted resource for ongoing reporting and analytics requests, applying advanced analysis and problem-solving skills.
Contribute to long-term BI and data strategy; identify automation opportunities and support modernization efforts.
Maintain processes to consolidate large data volumes into centralized, repeatable measurements; review finance data and propose corrective actions as needed.
Stay current with Microsoft tooling and data operations best practices; track Data Quality and Data Governance KPIs for Finance.
Provide peer support and informal mentoring; identify and pursue strategic initiatives.

Requirements

Bachelor’s degree with 3-5 years of related experience; or a high school diploma/GED with 8+ years of related experience.
3-6 years delivering Power BI solutions, including semantic modeling and end-user reporting.
Strong command of Power BI (Desktop/Service) and Microsoft Fabric concepts (semantic models, workspaces, refresh, security).
Advanced experience with SQL Server, T-SQL, or database design.
Advanced knowledge of DAX and Power Query (M).
Proven experience with dimensional modeling (star schemas), semantic model design, and performance tuning for self-service analytics.
Ability to translate business questions into actionable BI solutions.
Familiarity with Fabric/Azure data services (Lakehouse/Warehouse concepts, SQL endpoints, Azure SQL, Data Factory/Synapse as applicable).
Excellent attention to detail with a professional, customer-service oriented mindset.
Strong communication skills and the ability to present data clearly.
Ability to assess, prioritize, and manage multiple stakeholder needs while delivering high-quality work on time.
Experience with Agile product delivery and sprint planning.
Nice-to-have: knowledge of Python or R for analytics and data transformations.
Nice-to-have: experience using Git or other version control systems.
Nice-to-have: Microsoft BI or data engineering certifications.

Technologies

Microsoft Fabric, Power BI, DAX, Power Query (M)
SQL Server, T-SQL
Dataflows Gen2, Git, Python, R
Lakehouse/Warehouse concepts, SQL endpoints, Azure SQL, Data Factory, Synapse

Benefits

Medical and prescription drug plans with no additional cost vision coverage
Dental plan
401(k) with a generous Mortenson match
Paid time off, holidays, and other paid leaves
Employer-paid Life, AD&D, and disability insurance
No-cost mental health resources and work-life concierge services
Tuition reimbursement
Adoption assistance
Gym membership discount program

Compensation

Salary range: USD 96,400 - 144,700 per year.

Other items to note

Mortenson reserves the right to hire any individual without reliance on solicitations; no agency emails, calls, or solicitations are accepted without a valid agreement.
Candidates must be legally authorized to work in the United States without sponsorship for employment visa status at this time.

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2mo ago

Data Engineer with Financial Services, Databricks and MDM Experience

Yoh, A Day & Zimmermann Company Jersey City, NJ

Jersey City, NJ

2mo ago Closed

$65 - $80/hr Full time Cloud Cloud Platform Data Engineer

This position is no longer accepting applications (closed Aug 2, 2026).

Job Description

Hands-on Data Engineer with Financial Services experience focusing on scalable data pipelines, MDM integration, and cloud platforms such as Databricks and Snowflake.

Responsibilities

Design, build, and sustain scalable data pipelines and enterprise data integration solutions.
Implement batch and real time data ingestion, transformation, and processing frameworks.
Develop cloud native data engineering solutions for data lake, data warehouse, and lakehouse architectures.
Create ETL and ELT processes for structured, semi structured, and unstructured data sources.
Support Master Data Management initiatives across security, account, client, and reference data domains.
Collaborate with data architects, business analysts, governance teams, and application teams to enable enterprise data programs.
Implement data quality checks, monitoring, metadata management, and data lineage practices.
Assist cloud migration and modernization efforts for legacy and enterprise data platforms.
Optimize data processing, storage, and pipelines for scalability and operational efficiency.
Ensure adherence to security, governance, and regulatory standards within financial services environments.
Support reporting, analytics, and downstream platforms through reliable data delivery.

Requirements

Extensive hands on experience in data engineering and enterprise scale data integration.
Proven track record delivering scalable ETL and ELT pipelines and distributed processing solutions.
Experience with modern cloud based data platforms and ecosystems.
Strong SQL proficiency plus programming or scripting in Python, PySpark, or Snowpark.
dbt for data transformation and modeling
dbt for ELT pipeline development within Snowflake or Databricks
dbt for modular, reusable SQL based data workflows
dbt for data testing, documentation, and version control integration
Experience with Azure, AWS, or GCP and integration with Snowflake and Databricks
Solid understanding of data lake, data warehouse, and lakehouse architectures across platforms
Experience with orchestration and workflow tools such as Airflow, Databricks Workflows, and Snowflake Tasks
Background supporting Master Data Management and enterprise data governance initiatives
Familiarity with metadata management, data lineage, data cataloging, and data quality processes
Experience integrating APIs and microservices
Experience with batch file-based ingestion
Real time data streaming experience with technologies like Kafka or Spark Streaming

Technologies

Databricks
Delta Lake
Snowflake
Snowpark
Python
PySpark
SQL
dbt
Azure
AWS
GCP
Airflow
Databricks Workflows
Snowflake Tasks
Kafka
Spark Streaming

Benefits

Medical, Prescription, Dental & Vision Benefits (for employees working 20+ hours per week)
Health Savings Account (HSA) (for employees working 20+ hours per week)
Life & Disability Insurance (for employees working 20+ hours per week)
MetLife Voluntary Benefits
Employee Assistance Program (EAP)
401K Retirement Savings Plan
Direct Deposit & weekly epayroll
Referral Bonus Programs
Certification and training opportunities

Must Haves

Financial services experience
Data pipeline development
Databricks and Delta Lake expertise
Master Data Management (MDM) integration (Golden Source)
Strong SQL and data engineering capabilities
Oracle to cloud migration experience
Data quality and reconciliation focus

Education

Bachelor’s degree in Computer Science, Information Systems, or Engineering

Location

Jersey City, NJ (hybrid)

Compensation

Hourly rate: USD 65 - 80
Pay ranges are estimates and depend on experience, skills, and qualifications

Note: Any pay ranges displayed are estimations. Actual pay is determined by an applicant's experience, technical expertise, and other qualifications as listed in the job description.