Data Engineer

Aegistech; New York (NY); Hybrid; USD 120,000 - 140,000; Full time

Job summary

A leading technology firm based in New York is seeking a full-time Data Engineer to join their HR Technology team. This hybrid position involves developing and maintaining global HR applications, focusing on HR Analytics. Responsibilities include managing HR applications, designing data integration solutions, and supporting data analytics initiatives. Ideal candidates have strong experience with data management, ETL tools, and Python, and a Bachelor's degree in Computer Science or Engineering. Competitive salary and opportunity to work closely with senior stakeholders.

Qualifications

• 4+ years of experience in the Data and Analytics space.
• Strong hands-on experience with data management and data modeling.
• Proficient in ETL tools and advanced SQL.

Responsibilities

• Manage and support HR business applications.
• Design and develop ETL/ELT layer for HR data integration.
• Provide architecture solutions for Data Modeling and Data Governance.

Skills

Data management

Data warehouse design

ETL tools

Advanced SQL

Python programming

Cloud Data Lake technologies

AI & ML technologies

Education

Bachelor's degree in computer science or engineering

Tools

Informatica

MS SQL Server

Oracle

GitLab

Jenkins

Confluence

SharePoint

JIRA

Job description

Base Pay Range

$120,000–$140,000 / year

No sponsorship offered for this position

Technical Recruiter @ Aegistech | FinTech Specialist

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.

Key Responsibilities

• 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.

Required Skills & Experience

• 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 GitLab 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.

Seniority Level

Mid‑Senior Level

Employment Type

Full‑time

Job Function

Information Technology