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# Data Engineer, Data Solutions

- **Company:** CareerCircle
- **Location:** St. Louis, MO, United States
- **Experience:** Experienced
- **Contract:** Permanent contract
- **Skills:** Agile Methodology, Airflow, Amazon Web Services, Amazon S3, Unit Testing, C Sharp (Programming Language), Code Review, Databases, Information Engineering, Data Integration, Extract Transform Load (ETL), Data Systems, Database Development, Python (Programming Language), PostgreSQL, Microsoft SQL Server, Standard Sql, Software Engineering, SQL Databases, SQL Server Integration Services, AWS Lambda, Pyspark, Information Technology, Data Pipelines, Databricks, Programming Languages
- **Published:** July 16, 2026
- **Apply:** https://www.careercircle.com/jobs/all/all/usa/mo/saint-louis/e1a15881-e3af-48b0-8968-df40597fe6ab

## About the Role

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

## Description

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.


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