Data Engineer, Data Solutions
NISA Investment Advisors
Posted Sunday, May 10, 2026
Posting ID: 2158
Saint Louis, MO
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Overview
NISA Investment Advisors, LLC (NISA) offers customized investment solutions for tax-exempt and taxable institutional clients. NISA manages over $295 billion in fixed-income and equity securities and over $167 billion in derivative notional value. We seek bright, motivated individuals who can contribute to our growing team of professionals. Candidates with a high degree of independent thinking, strong analytical and quantitative skills, and team-playing abilities who desire to make a difference are encouraged to apply.
Responsibilities
The Data Engineer, Data Solutions is a member of NISA's Data Engineering team responsible for creating, updating and supporting ETL/ELT data pipelines for a variety of stakeholders across the enterprise. They will define, design, develop, unit test and support new and existing solutions to meet complicated and time-sensitive business requirements. In addition, the Data Engineer supports and manages high-severity production incident resolution, performs code reviews, and participates in on-call rotations. They should be comfortable working in a fast-paced team environment and have the skills to troubleshoot and resolve data integration issues independently.
Qualifications
NISA is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or protected veteran status.
NISA Investment Advisors, LLC (NISA) offers customized investment solutions for tax-exempt and taxable institutional clients. NISA manages over $295 billion in fixed-income and equity securities and over $167 billion in derivative notional value. We seek bright, motivated individuals who can contribute to our growing team of professionals. Candidates with a high degree of independent thinking, strong analytical and quantitative skills, and team-playing abilities who desire to make a difference are encouraged to apply.
Responsibilities
The Data Engineer, Data Solutions is a member of NISA's Data Engineering team responsible for creating, updating and supporting ETL/ELT data pipelines for a variety of stakeholders across the enterprise. They will define, design, develop, unit test and support new and existing solutions to meet complicated and time-sensitive business requirements. In addition, the Data Engineer supports and manages high-severity production incident resolution, performs code reviews, and participates in on-call rotations. They should be comfortable working in a fast-paced team environment and have the skills to troubleshoot and resolve data integration issues independently.
Qualifications
- Bachelor's degree in Computer Science or a related field or relevant work experience required
- 5+ years of experience with ETL/ELT
- 3+ years of experience with SQL
- Experience with Python, C#, or similar high-level language
- Experience with AWS, AWS Lambda, S3, Airflow, and related technologies
- Professional work experience with Databricks or PySpark
- Demonstrated team player who works well in a fast-paced environment and can adapt to changing priorities, demands, and timelines
- Strong analytical and innovative problem-solving skills, along with a solid attention to detail.
- Excellent customer support skills
- Microsoft SQL Server database development
- PostgreSQL database development
- SSIS development
- Working knowledge of Airflow or a similar business automation tool
- Developing software/databases in an Agile environment
NISA is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or protected veteran status.
The company is an equal opportunity employer and will consider all applications without regards to race, sex, age, color, religion, national origin, veteran status, disability, sexual orientation, gender identity, genetic information or any characteristic protected by law.
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