Senior Data Engineer – Forward Deployed

Andela

Senior Data Engineer building and maintaining data pipelines in automotive sector transformation. Collaborating across teams to enhance data-driven decision-making in a high-scale environment.

Posted 6/17/2026full-timeRemote • 🇺🇸 United StatesSeniorWebsite

Tech Stack

Tools & technologies

AirflowApacheAzureCloudPandasPySparkPython

About the role

Key responsibilities & impact

Build and maintain Snowflake data pipelines for Dealer 360 and Aftermarket workstreams respectively
Design and implement the dealer and aftermarket feature stores (Layer 1–2)
Build ingestion pipelines for all external data sources (JD Power, PIN, S&P, Vehicle Registration, competitive scraping + 2 TBC)
Write and maintain dbt models for data transformation, cleaning, and normalisation
Enforce schema validation, data quality checks, and freshness SLAs across all feeds
Collaborate with the Data Architect to implement the unified data model
Produce documented data lineage for every pipeline before any model is trained against it

Requirements

What you’ll need

8+ years in data engineering on cloud platforms
Snowflake — data modelling, query optimisation, staging environments
Python — pandas, PySpark, data pipeline scripting
Experience building feature stores for ML consumption
Strong understanding of schema design and dimensional modelling
Nice to have: Experience in automotive, retail, or dealer network data
Familiarity with CRM data structures (for Aftermarket hire)
Azure — Data Factory, Blob Storage, or Synapse
Apache Airflow or similar orchestration tooling
Azure DevOps for pipeline CI/CD
Must have work authorization for the United States.

Benefits

Comp & perks

Health insurance
Flexible work arrangements

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

data engineeringSnowflakePythondbtdata transformationschema designdimensional modellingfeature storesdata quality checksdata lineage