Financial Applications

Financial Applications Engineer Jobs

3 jobs found

26d ago

Data Engineer - Talent Acquisition Operations

Palantir Technologies New York, NY

New York, NY

26d ago

$100k - $145k/yr Full time Analytics Application Support Business Analytics

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Job Description

Build the data backbone behind recruiting operations at Palantir. This onsite role in New York, NY focuses on creating dependable datasets, reporting workflows, and automations that help Recruiting and Hiring teams run smoothly. You will work cross-functionally to translate recruiting processes into operational tools, dashboards, and analytics-ready data.

Compensation: USD 100,000 - 145,000 per year. Total compensation may also include Restricted Stock units, sign-on bonus, and other potential future incentives.

Responsibilities

Build, maintain, and improve datasets and pipelines supporting Recruiting
Integrate data from recruiting systems including Lever, Workday, Foundry, and other sources
Develop reporting datasets and dashboards for recruiting performance, candidate pipelines, recruiting programs, and operational audits
Evaluate existing integrations to reduce latency and implement necessary changes
Partner with central Data and platform teams on warehouse connections, schema changes, API behavior, and source-system migrations
Support integrations between recruiting systems and internal tools, including writeback of data updates
Design data access and reporting solutions that respect confidentiality, role-based permissions, and regional or organizational access boundaries
Create clear documentation for sensitive workflows and ensure operational users understand data limitations
Proactively identify improvements to reporting and workflows as recruiting processes evolve
Partner with engineering, product, and business leaders to understand user behavior and patterns across the platform
Monitor pipelines for stability and suggest or implement efficiency initiatives

Requirements

Degree in Data Science, Finance, Math, Engineering, Computer Science, Economics, Business, or other quantitative fields
1+ years of experience in a data analytical role
Expertise in Python and data manipulation to answer complex questions; experience with pySpark, pandas, or polars is a plus
Strong SQL skills and experience working with relational or structured data
Proficiency with BI tools and data organization and analysis
Fluency in TypeScript, or another general-purpose programming language
Ability to create reusable data models, testing frameworks, and data quality checks

Technologies

Python, pySpark, pandas, polars
SQL, TypeScript
Lever, Workday, Foundry, Contour
BI tools

Benefits

Medical, dental, and vision insurance for employees (and eligible dependents), plus voluntary life insurance
Basic life, AD&D, and disability insurance automatically provided
Commuter benefits
Take what you need paid time off, not accrual based
2 weeks paid time off built into the end of each year (subject to team and business needs)
10 paid holidays throughout the calendar year
Supportive leave of absence program, including time off for military service and medical events
Paid leave for new parents and subsidized back-up care for all parents
Fertility and family building benefits, including adoption, surrogacy, and preservation
Stipend to help with expenses that come with a new child
401k plan enrollment option

What We Value

Proven ability to build and maintain data pipelines, datasets, and analytics data products
Hands-on experience with Foundry, Contour, or comparable data and analytics platforms
Background working with Recruiting, HR, People, CRM, ATS, or other operational data; Lever experience preferred
Proficiency integrating APIs, data warehouses, and SaaS systems
Familiarity with workflow automation, writeback processes, and event-driven integrations
Working knowledge of data governance, privacy, retention, access controls, and compliance-related workflows

Life at Palantir

Employees are encouraged to work from the offices to foster connectivity and innovation
Many teams offer hybrid options (WFH a day or two a week)
If a role allows for “Remote” work on an exceptional basis, you must work from the state in which you are employed
For this role, the posting is Onsite, so you are required to work from an office

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30d ago

People Data Engineer / Data Engineer

Systemart, LLC Pleasanton, CA

Pleasanton, CA

30d ago Closed

$61+/hr Full time Analytics Application Support Big Data

This position is no longer accepting applications (closed Nov 3, 2026).

Job Description

Systemart, LLC is building a trusted people-data and AI foundation to support people analytics, workforce insights, and responsible AI-enabled solutions. In this hybrid role based in Pleasanton, CA, you will design and deliver scalable people-data architecture, connect HR systems (including Workday) to the enterprise data platform, and help ensure quality, lineage, reliability, and governance across downstream analytics and approved AI use cases.

Role Purpose

Build and operate the trusted data and AI foundation that powers people analytics, workforce insights, and responsible AI-enabled solutions.

Responsibilities

Design, build, and maintain scalable people-data models within the enterprise data warehouse.
Develop and support data pipelines, APIs, interfaces, and integrations connecting Workday and other People systems with the enterprise data platform.
Translate approved business definitions and product requirements into technical data specifications, structures, and reusable data assets.
Establish architecture patterns that support consistent use of people data across dashboards, analytics products, scorecards, and approved AI use cases.
Partner with the Enterprise Data Team on source-data onboarding, engineering dependencies, release planning, and production implementation.
Maintain technical documentation for data models, integrations, transformation logic, dependencies, and platform components.
Establish automated data-quality monitoring, validation rules, reconciliation controls, and exception alerts for critical people-data elements.
Implement and maintain end-to-end data lineage, including source, transformation, calculation, and downstream consumption.
Define production support, incident management, and escalation practices for people-data products.
Monitor platform health, pipeline performance, refresh reliability, and recurring failure patterns.
Reduce reliance on manual, person-dependent data checks through repeatable and observable controls.
Implement technical controls that support approved access, privacy, confidentiality, retention, and sensitive-data handling standards.
Partner with People Analytics leadership, Privacy, Legal, Security, HR Technology, and the Enterprise Data Team to operationalize people-data governance requirements.
Contribute technical definitions, source mappings, transformation logic, and lineage information to the people-data dictionary.
Ensure changes to sensitive people-data structures are appropriately reviewed, tested, documented, and released.

Requirements

5+ years of progressive experience in data engineering, analytics engineering, data architecture, or a related field, including production-grade data pipelines, models, integrations, and quality controls.
Experience with HR data, Workday, enterprise data warehouses, sensitive-data governance, or AI/ML data enablement is strongly preferred.
SQL
Python
Data modeling
ETL/ELT
APIs
Cloud data platforms
Version control
Automated testing

Preferred Platform Experience

Experience with Workday data, Databricks or a comparable cloud data ecosystem, and BI semantic models.

Tech Stack

SQL
Python
Workday
Databricks
ETL/ELT
APIs
Cloud data platforms
Version control
Automated testing
BI semantic models

Location and Work Details

Location: Pleasanton, CA (hybrid)
Work location: Hybrid remote in Pleasanton, CA 94588
Expected hours: 40.0 per week
Local requirement: Candidates should be local to the area or located nearby.

Compensation

Pay: $61.00 per hour

Education / Equivalent Experience

Bachelor’s degree in computer science, data engineering, information systems, or a related field, or equivalent practical experience.

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3mo ago

Senior Finance Data Engineer / Data Analyst

Stellantis Auburn Hills, MI

Auburn Hills, MI

3mo ago Closed

Full time Analyst Analytics Business Analytics

This position is no longer accepting applications (closed Aug 9, 2026).

Job Description

Stellantis, based in Auburn Hills, Michigan, is seeking a Senior Finance Data Engineer / Data Analyst to strengthen FP&A capabilities with Power BI–based reporting and analytics. The role centers on building scalable data models and managing the full data lifecycle from raw sources through semantic presentation, with a focus on data accuracy, performance, and secure access for financial users. This onsite position supports critical planning and analysis initiatives in a fast-paced environment.

Responsibilities

Oversee the end-to-end Power BI data lifecycle, from data extraction and transformation (Bronze and Silver layers) to semantic modeling and dashboard development (Gold layer).
Maintain data accuracy, performance, and security across all FP&A reporting tools.
Administer user access and implement role-level security within Power BI Service.

Requirements

Advanced proficiency in Power BI, Power Query, and DAX.
Experience integrating data from multiple sources such as Excel, CSV, and ERP systems like SAP or OneStream.
Ability to clean, transform, and standardize data into analytics-ready models.
Experience deploying and maintaining dashboards in Power BI Service.
Foundational understanding of financial reporting structures including P&L, revenue, cost, and variance analysis.
Strong analytical mindset with focus on data accuracy, consistency, and performance optimization.
Bachelor’s degree in Data Analytics, Computer Science, Financial Technology or related field.
Minimum of 5 years of extensive experience with Power BI.
Minimum of 8 years of overall relevant work experience.
Ability to thrive in a fast-paced, dynamic work environment.

Technologies

Power BI
Power Query
DAX
Excel
CSV
SAP
OneStream
Power BI Service

Preferred Qualifications

Power BI certification or similar credentials
Experience with ETL tools or scripting languages (SQL, Python) for advanced data transformation
Experience with OneStream, SAP or Oracle tools

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Financial Applications Engineer Jobs

Data Engineer - Talent Acquisition Operations

People Data Engineer / Data Engineer

Senior Finance Data Engineer / Data Analyst

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