Data Engineer

ABACUS • Remote in US, IN

7d

About The Position

The Data Engineer is responsible for developing, maintaining, and supporting data pipelines using Python and SQL Server (T-SQL), while assisting with data integration from internal and external systems within a modern Azure-based data platform. The role supports critical data operations in regulated environments and provides opportunities for hands-on learning and growth under the guidance of senior data engineers.

Requirements

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

Nice To Haves

• Experience with 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

Responsibilities

• Develop and maintain ETL pipelines using Python and SQL Server for data ingestion, transformation, and integration from various data sources, including structured files and RESTful APIs.
• Write, test, and debug Python code for data processing, automation, and basic integrations following established standards and best practices.
• Create and maintain T-SQL queries, views, and stored procedures to support business logic and reporting requirements.
• Assist in building and operating data workflows using Azure Data Factory, Azure SQL, and Azure Blob Storage.
• Support the monitoring of data pipelines and help troubleshoot 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 teams to understand data requirements and upstream systems.
• Participate in code reviews, implement feedback, and continuously improve coding and engineering practices.
• Create and maintain clear documentation for data pipelines, logic, and operational processes.

What This Job Offers

• Job Type: Full-time
• Career Level: Entry Level