Data Engineer

Base Pay Range

$120,000–$140,000 / year

No sponsorship offered for this position

Our Financial Services client is seeking a full‑time Data Engineer. This position is hybrid, with 3 days a week in the Midtown NYC office. The successful candidate will be a key member of the HR Technology team, responsible for developing and maintaining global HR applications with a primary focus on the HR Analytics ecosystem. This role combines technical expertise with HR domain knowledge to deliver robust data solutions that enable advanced analytics and data science initiatives.

• Manage and support HR business applications, including problem resolution and issue ownership.
• Design and develop an ETL/ELT layer for HR data integration and ensure data quality and consistency.
• Provide architecture solutions for Data Modeling, Data Warehousing, and Data Governance.
• Develop and maintain data ingestion processes using Informatica, Python, and related technologies.
• Support data analytics and data science initiatives with optimized data structures and AI/ML tools.
• Manage vendor products and their integrations with internal/external applications.
• Gather requirements and translate functional needs into technical specifications.
• Perform QA testing and impact analysis across the BI ecosystem.
• Maintain system documentation and knowledge repositories.
• Provide technical guidance and manage stakeholder communications.

• Bachelor’s degree in computer science or engineering with 4+ years of delivery and maintenance work experience in the Data and Analytics space.
• Strong hands‑on experience with data management, data warehouse/lake design, data modeling, ETL tools, advanced SQL, and Python programming.
• Exposure to AI & ML technologies and experience tuning models and building LLM integrations.
• Experience conducting EDA to identify trends and patterns, and report key metrics.
• Extensive database development experience in MS SQL Server/Oracle and SQL scripting.
• Demonstrable working knowledge of CI/CD tools, primarily Git Lab and Jenkins.
• Proficiency in using collaboration tools like Confluence, SharePoint, and JIRA.
• Analytical skills to model business functions, processes, and data flow within or between systems.
• Strong problem‑solving skills to debug complex, time‑critical production incidents.
• Good interpersonal skills to engage senior stakeholders in functional business units and IT teams.
• Experience with Cloud Data Lake technologies such as Snowflake and knowledge of HR data models would be a plus.

Mid‑Senior Level

Full‑time

Information Technology