Build intelligent data pipelines and robotic process automations that link business systems and streamline workflows.
Work hands-on with technologies like Python, SQL Server, and modern APIs.
Integrate tools such as OpenAI, Anthropic, and Azure ML to automate decision-making.
Collaborate closely with IT and operations teams to design and deliver smart, data-powered solutions.
Apply performance tuning and best practices for database and process efficiency.
Support data governance and version control processes to ensure consistency and transparency.

Bachelor’s degree or equivalent experience in data engineering, computer science, or software development.
Must have personally owned an automated pipeline end-to-end (design → build → deploy → maintain).
Minimum 3 years hands-on experience building production data pipelines using Python and SQL Server. Contract, academic, bootcamp, or coursework experience does not qualify.
Intermediate to advanced Python development skills, particularly for data and API automation.
Experience working with RESTful APIs and JSON data structures.
Familiarity with AI/ML API services (OpenAI, Anthropic, Azure ML, etc.) and their integration into data workflows.
Experience with modern data stack components such as Fivetran, dbt, or similar tools preferred.
Knowledge of SQL Server performance tuning and query optimization.
Familiarity with Git and CI/CD workflows for data pipeline deployment.
Bonus: Experience deploying or maintaining RPA or AI automation solutions.

Data Engineer

Key skills