Data Engineer
Entry-level Data Engineer building and maintaining data pipelines on a medallion lakehouse architecture using Python and SQL. Works under guidance on ingestion, transformation, orchestration, and monitoring tasks.
Owns end-to-end customer data migrations and GIS onboarding for government clients, ensuring data quality by mapping schemas, validating, and troubleshooting legacy data using SQL and ETL tools. Requires 2-3+ years experience with strong data instincts and customer-facing skills.
SQL – your core tool for validation, reconciliation, and troubleshooting
Airflow – for managing data migration pipelines
PostgreSQL – our core database
Python – used in data workflows and automation
Hex – your general-purpose data tool for loading, transforming, and QAing data
RedwoodJS, GraphQL, TypeScript, AWS – the broader software engineering environment you’ll interact with
Compensation within the posted salary band will be commensurate with experience. All offers will include:
Entry-level Data Engineer building and maintaining data pipelines on a medallion lakehouse architecture using Python and SQL. Works under guidance on ingestion, transformation, orchestration, and monitoring tasks.
Builds and maintains ETL pipelines for clinical studies with biometric sensor data, validates hardware algorithms through statistical analysis, and develops tools for data visualization and cross-team collaboration at a sleep tech company.
Design and execute SQL-based ETL processes to migrate legacy public safety data into the Mark43 platform. Own projects from discovery through delivery while collaborating with contractors, customers, and internal teams.
Administer and optimize AWS PostgreSQL databases, tune queries, and improve data schemas while using AI tools for daily workflows.