Cloud Data Engineering

Cloud Data Engineering Finance Jobs

3 jobs found

Today

Financial Planning & Analysis Associate

JPMorganChase Jersey City, NJ

Jersey City, NJ

Today

$86k - $115k/yr Full time Accounting Advisor Alteryx

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Job Description

Financial Planning & Analysis Associate role supporting Risk Management and Compliance in driving planning, forecasting, reporting, and analytics for executive stakeholders.

Responsibilities

Own financial performance and forecast updates for direct and indirect expenses for Risk, including expense and headcount variance explanations
Conduct trend analysis and provide monthly forecast updates for Risk expense and headcount
Support annual financial planning, including run rate analysis, expense savings opportunities, and allocation methodology
Handle monthly financial close activities, including management reporting adjustments, forecast/outlook updates, and General Ledger review and investigations
Partner with business leads to understand risks and opportunities, future impacts, and key trends, and translate findings into actionable conclusions
Build, automate, and maintain scalable reporting solutions and data workflows using SQL, Python, Alteryx, Databricks, Tableau, and Anaplan XL
Increase efficiency through standardization, controls, documentation, and simplification of recurring deliverables
Develop and maintain dashboards, including headcount dashboards and non-compensation expense dashboards, with consistent definitions and metrics

Requirements

Minimum 3 years of related experience
Advanced analytical, critical thinking, and problem-solving skills with strategic mindset and continuous improvement focus
Ability to produce clear, executive-ready deliverables with strong data storytelling
Effective communication and confidence working with senior stakeholders and finance partners
High attention to detail, sound judgment, and appropriate handling of confidential information
Self-motivated and able to manage competing priorities while meeting deadlines in a demanding environment
Proficiency in Microsoft Office (Excel, PowerPoint, Word, Outlook)
Familiarity with Hyperion/Essbase and SAP
Experience with Alteryx for workflow automation and Tableau for dashboard development and maintenance

Technologies

SQL, Python, Alteryx, Databricks
Tableau, Anaplan XL, Anaplan, Atoti
Microsoft Office (Excel, PowerPoint, Word, Outlook)
Hyperion/Essbase, Essbase, SAP

Benefits

Comprehensive health care coverage
On-site health and wellness centers
Retirement savings plan
Backup childcare
Tuition reimbursement
Mental health support
Financial coaching

Preferred Qualifications, Capabilities and Skills

Prior P&A experience is a plus
Experience with Essbase/Anaplan/Anaplan XL, including reporting outputs, model interaction, and planning/reporting workflows
Knowledge of Atoti is a plus
Strong hands-on experience with SQL is a plus, including querying, data validation, reconciliation, and performance-aware design

Team

Global Finance & Business Management: strategically manages capital, drives growth and efficiencies, maintains financial reporting, and proactively manages risk

Location: Jersey City, NJ (onsite)

Compensation: USD 85,500 - 115,000 per year

Experience: 3 years minimum

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Today

Lead Data Engineer, Ad Sales & Finance

Versant Media New York, NY

New York, NY

Today

$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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Today

Data Engineer, Data Infrastructure and Generative Intelligence - AIGC Finance

Amazon.com Services LLC New York, NY

New York, NY

Today

$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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Cloud Data Engineering Finance Jobs

Financial Planning & Analysis Associate

Lead Data Engineer, Ad Sales & Finance

Data Engineer, Data Infrastructure and Generative Intelligence - AIGC Finance

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