Abacus.AI is the AI Brain for your organization. Your very own AI Engineer will build applied AI systems across a wide variety of use cases including custom chatbots, ai workflows, forecasting, personalization and predictive modeling. Automate your entire... Backed by Index.
About the role
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. Found on 1752vc Careers, the job board for startup and VC roles.
What they're looking for
- 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 code — 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
More about this role
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.
- 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...
Browse similar: AI jobs · AI startup jobs · Startup jobs · Remote jobs