Data Engineer

ABACUS is building a modern Azure-based data platform to support regulated industries. In this onsite role in Dallas, TX, you will develop and operate reliable data pipelines that move and transform information from internal and external systems, with attention to data quality, security, and compliance.

What you’ll do

• Develop and maintain ETL pipelines using Python and SQL Server (T-SQL) for ingestion, transformation, and integration across structured files and RESTful APIs.
• Write, test, and debug Python for data processing, automation, and basic integrations, following established standards and best practices.
• Create and maintain T-SQL assets including queries, views, and stored procedures to support business logic and reporting needs.
• Support data workflows using Azure Data Factory, Azure SQL, and Azure Blob Storage.
• Monitor pipelines and assist with troubleshooting for data quality issues, pipeline failures, and performance problems.
• Follow defined data quality, security, and compliance procedures in regulated environments such as healthcare and financial services.
• Collaborate with data analysts, software engineers, and DevOps to understand data requirements and upstream systems.
• Participate in code reviews, implement feedback, and continuously improve engineering practices.
• Create and maintain clear documentation for pipeline logic and operational processes.

What you bring

• 1–4 years of professional experience in Data Engineering, Software Engineering, or a related technical role (required).
• Strong hands-on proficiency in Python, including writing functions, handling errors, and debugging (required).
• Experience working with relational databases, preferably SQL Server (required).
• Strong working knowledge of SQL, including joins, aggregations, subqueries, and basic performance considerations (required).
• Exposure to integrating or consuming data from RESTful APIs or external data sources (required).
• Familiarity with Git or similar version control systems (required).
• Strong analytical and problem-solving skills with the ability to learn quickly (required).
• Bachelor’s Degree (preferred).

Helpful experience and exposure

• Additional Azure services such as Azure Synapse, Azure DevOps, and Azure Functions.
• Understanding of data modeling and warehousing concepts.
• Exposure to cybersecurity data, SIEM tools, or SOC operations.
• Knowledge of .NET Framework and C#-based APIs, particularly in data consumption contexts.
• Background in MSP/MSSP environments or consulting.
• Familiarity with Power BI or other data visualization tools.

Technology areas you’ll work with

• Python, SQL Server, T-SQL
• Azure: Azure Data Factory, Azure SQL, Azure Blob Storage, Azure Synapse, Azure DevOps, Azure Functions
• APIs: RESTful APIs, plus exposure to .NET Framework and C#
• Security and compliance context: HIPAA, SOC2, and SIEM tools
• Related tooling: Power BI (listed), Azure workflows and integrations

Success in the role

• Ability to work effectively in a collaborative, fast-paced environment.
• Good written and verbal communication skills.