Data Engineer, Data Solutions

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.

Equities Management Automation Innovation Databricks PostgreSQL AWS Lambda Code Review Investments Derivatives Unit Testing Fixed Income Data Pipelines Apache Airflow Detail Oriented Self-Motivation Problem Solving Computer Science Data Integration Customer Support Data Engineering Agile Methodology Analytical Skills Amazon Web Services Database Development Microsoft SQL Servers Business Requirements Intellectual Curiosity Institutional Investing C# (Programming Language) SQL (Programming Language) Extract Transform Load (ETL) Language Experience Approach Python (Programming Language) Troubleshooting (Problem Solving) SQL Server Integration Services (SSIS), * 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

Preferred Experience:

• 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’s culture encourages collaboration and innovation. We seek self-motivated, intellectually curious individuals willing to push themselves and others in an environment that celebrates fresh thinking. We equip employees with the resources needed to excel and we encourage personal development. NISA is dedicated to internally cultivating and rewarding talent. Employees at NISA are provided with a wide range of benefits, including a complimentary onsite cafeteria, gym, health and wellness program, and educational assistance program., Innovation Databricks PostgreSQL AWS Lambda Code Review Investments Derivatives Unit Testing Fixed Income Data Pipelines Apache Airflow Detail Oriented Self-Motivation Problem Solving Computer Science Data Integration Customer Support Data Engineering Agile Methodology Analytical Skills Amazon Web Services Database Development Microsoft SQL Servers Business Requirements Intellectual Curiosity Institutional Investing C# (Programming Language) SQL (Programming Language) Extract Transform Load (ETL) Language Experience Approach Python (Programming Language) Troubleshooting (Problem Solving) SQL Server Integration Services (SSIS) +0

NISA Investment Advisors, LLC (NISA) partners with world-leading organizations to design, develop, and manage highly customized, risk-controlled investment strategies across fixed income, equities, and derivatives. With $482 billion assets under management ($299 billion in physical assets and $184 billion in derivatives notional value), NISA actively manages risk for institutional investors, providing clarity to complicated challenges and stability in ever-evolving markets. At NISA, we foster a culture that supports both personal and professional growth, providing opportunities to learn from experienced professionals while contributing meaningful work from the outset. We seek candidates who demonstrate strong quantitative and analytical skills, intellectual curiosity, and a collaborative mindset to join our growing teams.