Support metadata and catalog initiatives, including column-level tagging, dataset documentation, and ownership attribution
Contribute to data lineage and governance practices, helping improve audit readiness and visibility across pipelines and products
Support and maintain Airflow DAGs, including simple pipeline changes, operational fixes, and automation tasks
Assist with CI/CD workflows related to data pipelines, deployments, and platform tooling
Help improve data pipeline reliability and consistency, partnering with senior engineers on enhancements and fixes
Contribute to automation of reports and dashboards, enabling self-serve analytics for internal teams
Support adoption of data governance standards across teams, including documentation, processes, and tooling
Assist internal stakeholders with ad-hoc data questions, process improvements, and platform-related enhancements

Requirements

2+ years of experience in data governance, data engineering, analytics engineering, or a closely related technical role
Hands-on exposure to data governance concepts, including:
Metadata management
Data lineage (dataset- and column-level)
Data catalogs (e.g. DataHub or similar tooling)
Audit and compliance requirements
Experience supporting or contributing to governance initiatives, such as documentation standards, ownership models, or data quality practices
Hands-on experience with data governance tools like Datahub or similar at a major multi-source high volume data system
Strong Python fundamentals, used for automation, metadata ingestion, or governance-related tooling
Solid SQL skills for data discovery, validation, and audit support
Basic understanding of how data pipelines work end to end, sufficient to reason about lineage, dependencies, and data quality
Familiarity with Airflow or workflow orchestration in a support or operational capacity
A curious, problem-solving mindset and willingness to grow in a fast-moving data platform environment

Benefits

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

data governancedata engineeringanalytics engineeringmetadata managementdata lineagedata catalogsPythonSQLdata pipelineworkflow orchestration

Soft Skills

problem-solvingcuriositywillingness to grow