ML & Data Engineer — Pipelines & Automation
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Job Description
Structured overview of role & requirementsAbout This Role
Own production data pipelines that automate client payroll operations impacting revenue visibility and operational efficiency.
Instrument telemetry for real-time revenue tracking by operators, shifting from monthly to daily visibility.
Automate end-to-end manual workflows with measurable proof of time saved.
Minimum Requirements
3 to 6 years of relevant experience in data engineering or delivery engineering.
Proficiency in production Python and SQL, including experience resolving issues in live environments.
Experience with Airflow or similar ETL/ELT orchestration platforms in production.
Familiarity with APIs, webhooks, and systems integration for automation purposes.
Ideal Candidate Profile
Experienced in building and maintaining automated, scalable data pipelines with a focus on operational impact and reliability.
Comfortable working with telemetry and monitoring tools to provide actionable business insights.
Skilled at technical problem-solving during code reviews and able to articulate trade-offs and improvements effectively.