We’re seeking a Senior Data Engineer to join our data engineering team. In this role, you’ll be responsible for maintaining and extending existing data pipelines and partnering with our implementation team to design and deliver custom ETL workflows for new customers. This hands-on role requires strong coding skills, experience with modern data tools, and a practical, solution-oriented mindset.
Responsibilities
- Maintain and enhance existing Python-based ETL pipelines and data workflows
- Collaborate with the implementation team to build and deploy new pipelines for incoming customers
- Write clean, efficient, and well-tested Python code following best practices
- Monitor, troubleshoot, and optimize data processing performance and reliability
Requirements
5+ years of experience building and maintaining data pipelines2+ years of production-level Python development experienceAbility to design flexible, reusable ETL solutions to address a wide range of data integration scenariosFamiliarity with Git , CI / CD , and software engineering best practicesExperience working with or supporting production data systemsStrong collaboration skills and ability to work in a fast-paced environmentNice to Have
Experience with serverless architectures hosted on AWSExperience with Databricks or AirflowBackground in customer-facing implementation or onboarding work