Data Pipeline

Data Pipeline Finance Jobs

32 jobs found

1d ago

Financial Management Data Engineer

Guidehouse Inc. McLean, VA

McLean, VA

1d ago

$113k - $188k/yr Full time Analytics Automation Developer Big Data

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Job Description

Guidehouse is seeking a Financial Management Data Engineer to collect, transform, integrate, and analyze data in support of DHS Financial Management mission goals and decision-making.

Responsibilities

Access data sources by establishing data connections and building data ingestion and integration solutions using APIs, databases, file-based interfaces, and enterprise platforms to support data acquisition and pre-processing
Aggregate, clean, and organize datasets from disparate sources; perform data quality assurance for these activities
Design and implement data integration, mapping, and standardization frameworks with configurable business rules and data crosswalks to support interoperability, reconciliation, and reporting across financial and operational systems
Work with large datasets using SQL, Python, and PySpark to mine and structure raw data, identify patterns, and generate new information and insights
Build data modeling processes, algorithms, and predictive models; conduct ad hoc and exploratory analysis to support data-driven decisions using advanced analytics, including machine learning
Ensure data governance and quality assurance standards are met
Help define data quality metrics for the quality of data ingested into Databricks
Organize and lead client meetings, including scheduling, drafting and delivering agendas and meeting minutes, managing required documentation, and tracking action items through follow-up
Deliver client services while supporting business development, internal firm initiatives, and ongoing professional development

Requirements

Ability to OBTAIN and MAINTAIN a Federal or DoD PUBLIC TRUST; candidates with an ACTIVE PUBLIC TRUST or SUITABILITY are preferred
Bachelor’s degree
3+ years of data experience
Experience performing data analytics to address management and operational challenges
Proficiency with data tools including SQL, Python, R, and Databricks
Proficiency with the Microsoft Suite, with an emphasis on PowerPoint, Word, and Excel
Prior experience with statistical analysis, predictive modeling, machine learning, and artificial intelligence

Technologies

SQL, Python, PySpark, Databricks
R
Microsoft PowerPoint, Microsoft Word, Microsoft Excel
MicrosoftAzure, AWS
Power BI, Power Apps, Power Automate
SharePoint
Microsoft Power Platform, Microsoft Suite
APIs, databases, file-based interfaces, enterprise platforms

Benefits

Medical, Rx, Dental & Vision Insurance
Personal and Family Sick Time & Company Paid Holidays
Position may be eligible for a discretionary variable incentive bonus
Parental Leave and Adoption Assistance
401(k) Retirement Plan
Basic Life & Supplemental Life
Health Savings Account, Dental/Vision & Dependent Care Flexible Spending Accounts
Short-Term & Long-Term Disability
Student Loan PayDown
Tuition Reimbursement, Personal Development & Learning Opportunities
Skills Development & Certifications
Employee Referral Program
Corporate Sponsored Events & Community Outreach
Emergency Back-Up Childcare Program
Mobility Stipend

Travel and Clearance

Travel: Up to 10%
Clearance: Ability to Obtain Public Trust

What Would Be Nice To Have

Experience collaborating in a team environment and working independently
Ability to identify and address client needs, build relationships, and communicate potential conflicts to a supervisor
Effective communication with various audiences, including management and external clients
Ability to facilitate meetings and present topics to diverse functional and technical staff
Experience in commercial or public sector consulting firms
Prior experience supporting federal finance organizations
Experience with cloud-based platforms and services, including MicrosoftAzure, AWS, or similar environments
Experience with Microsoft Power Platform (Power BI, Power Apps, Power Automate) and SharePoint

Compensation and Location

Location: McLean, VA 22102 (onsite)
Salary Range: $113,000 - $188,000 per year

Guidehouse offers a comprehensive, total rewards package that includes competitive compensation and a flexible benefits package.

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5d ago

Data Engineer, Finance

SHIELD AI San Diego, CA

San Diego, CA

5d ago

$97k - $140k/yr Full time Ai/ml Data Engineering Artificial Intelligence Big Data

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Job Description

Shield AI is building a governed, dependable data foundation that supports Finance planning, analytics, and AI-enabled decision support. As a Data Engineer, Finance, you will focus on reusable Databricks integrations, semantic-layer infrastructure, and production data services that help power analytics and intelligent Finance workflows. This onsite role is based in San Diego, CA.

Compensation for the position is USD 97,000 - 140,000 per year.

Benefits

Bonus + Benefits + Equity
Pay within the range listed, plus bonus and benefits and equity
Pay within the range listed above with a temporary benefits package (applicable after 60 days of employment)

Responsibilities

Build and operate scalable pipelines and integrations connecting enterprise data to Finance products.
Develop semantic-layer infrastructure and governed data access for analytics, planning, and AI applications.
Set up end-to-end pipeline observability, including data-quality controls and resilient operational practices.
Engineer the services and integrations that support Databricks Genie and other AI-enabled Finance workflows.
Use AI coding assistants to accelerate delivery while validating correctness, security, and performance.
Apply FinOps practices to manage platform spend and optimize cost without reducing service quality.
Partner with analytics engineers and enterprise teams on architecture, data contracts, and sustainable ownership.

Requirements

Hands-on production data engineering experience using SQL and Python or PySpark.
Experience with cloud data platforms, orchestration, data modeling, and governed serving patterns.
Ability to design for observability, recoverability, security, and maintainability.
Proficiency with AI coding assistants and the ability to independently validate generated work.
Practical experience enabling AI capabilities on enterprise data, ideally in Databricks; experience with Snowflake Cortex or comparable platforms is welcome.
Strong cross-functional collaboration and production ownership.

Technologies

Databricks
SQL
Python
PySpark
Snowflake Cortex
Databricks Genie
Delta Lake

Preferred Qualifications

Experience with Databricks, Delta Lake, cloud infrastructure, and deployment automation.
Experience building AI application backends, model integrations, or LLM-based workflows.
Experience with FinOps, financial data, or enterprise-system integrations.

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8d ago

Data Engineer - Financial Intelligence

Ingram Micro Irvine, CA

Irvine, CA

8d ago

$99k - $158k/yr Full time Analytics Analytics Engineer Artificial Intelligence

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Job Description

Ingram Micro is hiring a Data Engineer (Financial Intelligence) to build scalable pipelines and data models that support Commercial Finance analytics, reporting, intelligence, and AI.

Responsibilities

Develop the data pipeline powering Commercial Finance analytics, reporting, intelligence, and AI
Design and support scalable ETL/ELT pipelines
Create and optimize data models for reporting, analytics, and AI models
Maintain data quality across finance data sources
Ensure data quality, data integrity, and data governance
Enable dashboards and models that support decisions related to profitability, revenue quality, and partner value
Support financial dashboards, including PowerBI / Power BI, and KPI reporting
Partner with Commercial Finance and Go-To-Market Sales and Vendor teams
Translate finance and business requirements into technical solutions
Conduct root-cause analysis to address data and reporting issues
Recommend process improvements and automation opportunities

Requirements

Design, build, and maintain scalable data pipelines (ETL/ELT)
Develop and optimize data models for reporting, analytics, and AI models
Ensure data quality, integrity, and governance
Experience handling large datasets and integrating multiple data sources
Expertise with relational databases and working with large, granular datasets
Performance tuning and query optimization
Familiarity with GCP (preferred)
Python (preferred)
SQL expertise and basic scripting and automation skills required
Understanding of semantic models and business intelligence architecture
Knowledge of key finance concepts, including P&L analytics across sales and gross margins
Four-year college degree and 3 years functional experience, including a minimum 1-year position-specific experience

Technologies

ETL/ELT
GCP
Python
SQL
PowerBI / Power BI
SAP
Microsoft Dynamics
OneStream

Location and Schedule

Irvine, CA (hybrid), based at Ingram Micro’s Irvine, California corporate headquarters

Compensation

USD 98,600 - 157,800 per year (typical base pay range across the U.S.)
Some roles may be eligible for additional rewards, including merit increases, annual bonus or sales incentives, and long-term incentives

Benefits

Healthcare benefits
Paid time off
Parental leave
401(k) plan with company match
Short-term and long-term disability coverage
Basic life insurance
Wellbeing benefits

Be prepared to pass a drug test and successfully pass a pre-employment (post offer) background check
This listing is not a complete record of job duties; it represents responsibilities you may be asked to perform
Equal opportunity employer

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12d ago

Finance Data Engineer

Apple Austin, TX

Austin, TX

12d ago

$149k - $249k/yr Full time Artificial Intelligence Big Data Data Analytics

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Job Description

The Product Marketing Customer Analytics team is seeking a Finance Data Engineer to design and deliver scalable customer analytics data pipelines and platforms. The role focuses on analytics-ready infrastructure spanning batch and streaming, with an emphasis on data quality, performance, and close collaboration with analytics consumers and data scientists.

Location

Austin, TX (onsite)

Compensation

USD 149,200 - 249,000 per year

Key Responsibilities

Develop and automate large-scale, high-performance batch and/or streaming platform capabilities to support faster analytics
Design large-scale, complex application frameworks with strong runtime characteristics, including low latency, fault tolerance, and availability
Build and maintain custom frameworks aligned to engineering and analytics needs
Partner with analytics consumers and data scientists to create and improve constructs and address data engineering challenges at scale
Build data pipelines using Spark, Trino, lakehouse, or comparable distributed platform approaches, including Snowflake
Deploy inclusive data quality checks to support high-quality datasets
Promote high standards in software engineering practices for data infrastructure and pipelines built at scale
Apply structured problem-solving to break down ambiguous issues and propose impactful solutions
Apply Generative AI and Retrieval Augmented Generation (RAG) techniques to enhance data analytics capabilities
Maintain strong documentation and technical writing; use effective verbal and written communication
Demonstrate attention to detail in delivery

Required Qualifications

5+ years of relevant Data Engineering experience
Undergraduate degree in Computer Science, MIS, Engineering, Mathematics, or another quantitative discipline (required)
5+ years of experience in data engineering and ETL pipeline development
5+ years of experience with Big Data Technologies including Spark, Lakehouse, and Trino
Experience with Snowflake
Familiarity with RAG techniques working with LLMs
Experience creating and consuming Model Context Protocol (MCP) services

Preferred Qualifications

Experience with Kubernetes and Docker (preferred)
Additional alignment with the required areas above, including Spark, Lakehouse, Trino, RAG with LLMs, MCP services, and Snowflake

Technical Skills and Tools

Spark, Trino, Lakehouse, Snowflake
Kubernetes, Docker
Generative AI, Retrieval Augmented Generation (RAG), LLMs
Model Context Protocol (MCP)

Benefits

Comprehensive medical and dental coverage
Retirement benefits
Discounted products and free services
Reimbursement for certain educational expenses, including tuition
Opportunity to become an Apple shareholder through Apple’s discretionary employee stock programs
Eligibility for discretionary restricted stock unit awards
Option to purchase Apple stock at a discount through the Employee Stock Purchase Plan
Discretionary bonuses or commission payments and relocation (if eligible)

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20d ago

Senior Associate, Data Scientist - Applied AI (Financial Services)

Capital One Plano, TX

Plano, TX

20d ago

$123k - $141k/yr Full time Agentic Ai Ai Agent Artificial Intelligence

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Job Description

Capital One is seeking a Senior Associate Data Scientist focused on Applied AI for Financial Services in Plano, TX (onsite).

Responsibilities

Work with a cross-functional group of data scientists, machine learning engineers, and product managers to deliver Generative AI solutions customers will use.
Use a broad technology stack to build Multi-Agent systems and advanced RAG pipelines over large volumes of numeric and textual data.
Build and deploy Generative AI models across development stages, including context engineering, fine-tuning, evaluation, validation, and deployment.
Apply strong communication skills to translate technical work into clear business goals.

Requirements

Currently has, or is in the process of obtaining one of the following with the expectation the degree will be completed on or before the scheduled start date:
- Bachelor’s degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or related quantitative field) plus 2 years of experience performing data analytics.
- Master’s degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, or related quantitative field).

Technologies

Python, PyTorch, LangChain, AWS, Spark, Vector Databases
SQL, Scala, R

Preferred Qualifications

Master’s degree in a STEM field (Science, Technology, Engineering, or Mathematics) or PhD in a STEM field.
At least 2 years of experience in Python, Scala, or R.
At least 2 years of experience with machine learning.
At least 2 years of experience with SQL.
At least 1 year of experience in AI, Information Retrieval, Deep Learning, or NLP.

Ideal Candidate Attributes

Innovative: continually research and evaluate emerging technologies and stay current on state-of-the-art methods, technologies, and applications.
Creative: bring structure to large, undefined problems and share new ideas.
Technical: comfortable using open-source languages and developing data science solutions using open-source tools and cloud computing platforms.
Statistically-minded: build, validate, and backtest models; interpret confusion matrices or ROC curves; experience with clustering, classification, sentiment analysis, time series, and deep learning.

Benefits

Performance-based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI).
Comprehensive, competitive, and inclusive health, financial, and other benefits to support total well-being.

Compensation (by location)

Plano, TX: $123,300 - $140,700 per year
McLean, VA: $135,600 - $154,800 per year (for Sr Assoc, Data Science)
Candidates hired to work in other locations will be subject to the pay range associated with that location, and the annualized salary offered at hire will be reflected in the offer letter.

Location and Entity Notes

Location: Plano, TX (onsite)
Capital One Financial includes multiple entities: positions in Canada are for Capital One Canada; positions in the United Kingdom are for Capital One Europe; positions in the Philippines are for Capital One Philippines Service Corp. (COPSSC).

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21d ago

Senior Financial Management Data Engineer

Guidehouse Inc. Washington, DC

Washington, DC

21d ago

$113k - $188k/yr Full time Senior Analytics Azure Data Engineer

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Job Description

Join Guidehouse Inc. as a Senior Financial Management Data Engineer supporting financial management and IT programs for the Department of Homeland Security (DHS). This onsite role in Washington, DC combines data engineering, governance, and analytics to help improve decision-making across financial and operational systems. In addition to impactful work, you will have access to a comprehensive benefits package and professional development support.

Salary: USD 113,000 to 188,000 per year. Travel: None.

What you will do

Access data sources, establish data connections, and develop ingestion and integration solutions using APIs, databases, file-based interfaces, and enterprise platforms.
Aggregate, clean, and organize datasets from disparate sources, and perform quality assurance on those processes.
Design and implement data integration, mapping, and standardization frameworks, including configurable business rules and data crosswalks for interoperability, reconciliation, and reporting.
Manipulate large datasets and perform data mining and structuring using open-source tools such as SQL, Python, and PySpark to identify patterns and generate new insights.
Build data modeling processes, create algorithms and predictive models, and conduct ad hoc or exploratory analysis, including advanced analytics, predictive modeling, and machine learning.
Maintain data governance and ensure data quality assurance standards are met.
Help define data quality metrics for the quality of data ingested into Databricks.
Organize and lead client meetings, including scheduling, drafting and delivering agendas and meeting minutes, archiving documentation, and tracking and following up on action items.
Deliver client services and also support business development, internal initiatives, and ongoing professional development.

Required qualifications

Ability to OBTAIN and MAINTAIN a Federal or DoD “PUBLIC TRUST”; candidates must obtain approved adjudication prior to onboarding. Active Public Trust or Suitability is preferred.
Bachelor’s degree
Three (3) or more years of data experience
Experience performing data analytics to address management and operational challenges
Proficiency with data analytics tools including SQL, Python, R, and Databricks
Proficiency in Microsoft Suite, with emphasis on MS PowerPoint, MS Word, and MS Excel
Prior experience with statistical analysis, predictive modeling, machine learning, and artificial intelligence

Technologies you may work with

SQL, Python, R, PySpark, Databricks
Microsoft PowerPoint, Microsoft Word, Microsoft Excel
APIs, databases, Microsoft Azure, AWS
Power BI, Power Apps, Power Automate, SharePoint, Microsoft Power Platform

Benefits and support

Medical, Rx, Dental & Vision Insurance
Personal and Family Sick Time & Company Paid Holidays
Position may be eligible for a discretionary variable incentive bonus
Parental Leave and Adoption Assistance
401(k) Retirement Plan
Basic Life & Supplemental Life
Health Savings Account, Dental/Vision & Dependent Care Flexible Spending Accounts
Short-Term & Long-Term Disability
Student Loan PayDown
Tuition Reimbursement, Personal Development & Learning Opportunities
Skills Development & Certifications
Employee Referral Program
Corporate Sponsored Events & Community Outreach
Emergency Back-Up Childcare Program
Mobility Stipend

Nice to have

Experience collaborating in a team environment and working independently
Ability to identify and address client needs, build relationships, prioritize work, and communicate potential conflicts
Professional communication across technical and management audiences, including external clients
Experience facilitating meetings and presenting to diverse groups of functional and technical staff
Experience in commercial or public sector consulting firms
Prior experience supporting federal finance organizations
Experience with cloud-based platforms and services, including Microsoft Azure, AWS, or similar environments
Experience with Microsoft Power Platform (Power BI, Power Apps, Power Automate) and SharePoint

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23d ago

Financial Data Analyst

Lynch Consultants, LLC Dayton, OH

Dayton, OH

23d ago

$57 - $61/hr Full time Artificial Intelligence Business Analytics Business Intelligence

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Job Description

Lynch Consultants, LLC supports mission-focused work at Wright-Patterson Air Force Base in Dayton, Ohio, helping advance financial improvement and audit remediation efforts for the Department of the Air Force (DAF) Financial Improvement and Audit Remediation (FIAR) initiative. In this onsite role, you’ll help operationalize financial data automation, advanced analytics, and AI-enabled support to strengthen audit readiness.

What you’ll do

Support integration, transformation, validation, and analysis of Air Force financial and operational data from multiple sources.
Develop and maintain data analytics solutions, reports, dashboards, and visualizations aligned to FIAR and FM modernization objectives.
Create data cleansing processes, scripts, and repeatable workflows to improve data quality and reduce manual effort.
Assist with automation use cases that connect FM data sources and streamline business processes.
Support AI- and analytics-enabled solutions that improve audit readiness, traceability, and decision support.
Apply OCR capabilities and related technologies to extract and structure data from documents and other non-standard inputs.
Support the use of large language models and emerging AI/ML tools in operational environments, consistent with client direction and security constraints.
Prepare and present analytic findings, recommendations, and solution concepts to Government and contractor stakeholders, coordinating across technical and functional teams to support scalable, repeatable implementations.

Required qualifications

Bachelor’s degree from an accredited institution.
5+ years of relevant experience in data analytics, database support, reporting, automation, or related technical or business solution delivery.
Active Secret Clearance with the ability to maintain eligibility.
Intermediate Python skills, including experience manipulating, cleansing, analyzing, or validating datasets.
Intermediate SQL skills, including experience querying, joining, transforming, and analyzing data from structured sources.
Intermediate Databricks experience or comparable work within modern enterprise data and analytics platforms.
Intermediate accounting knowledge, including the ability to understand and analyze financial transactions, balances, and related financial data.
Intermediate Substantive Analytical Procedures, including the ability to develop and execute data-driven procedures in support of financial statement audit or audit readiness activities.

Tools and technologies you’ll work with

Python, SQL, Databricks
MS Power Application Automation, Power BI, Tableau
OCR
Large language models and AI/ML tools

Compensation and work schedule

Location: Dayton, OH (onsite), 5-days per week at Wright-Patterson Air Force Base.

Pay rate: USD $57–$61 per hour (approximately $107,000–$114,000 per year, commensurate with experience).

Benefits

Employer-supported 401(k)
World-class health benefits
Paid vacation and holidays
Performance and referral bonuses
Profit-sharing bonus available to eligible associates

Preferred qualifications

Experience supporting Department of Defense, Department of the Air Force, or Federal financial management clients.
Familiarity with the Operational Air Force Financial Data Structure.
Familiarity with the Operational Air Force Data Dictionary.
Experience supporting FIAR, audit readiness, internal controls, or financial statement audit response efforts.
Experience with MS Power Application Automation.
Experience with Power BI, Tableau, or similar visualization platforms.
Familiarity with cloud-enabled analytics, workflow automation, and enterprise data environments supporting financial operations.
Experience working across functional and technical teams to operationalize analytic and automation capabilities.

Why join Lynch Consultants, LLC?

Competitive total compensation: Starting salaries are competitive, with a total package that goes further.
Flexible career architecture: Support for growth across moving up, moving across, or staying at your level while taking on new challenges.
Unlimited promotion opportunities: No cap on advancement at Lynch.
Your career, your choice: Support for different paths, including partnership goals, service line exploration, or deepening craft at your current level.