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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Senior Data Engineer - Forward deployed - **Company:** Andela - **Location:** United States (Remote available) - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Airflow, Microsoft Azure, Cloud Computing, Continuous Integration, Customer Data Management, Data Architecture, Information Engineering, Data Infrastructure, Data Transformation, Dimensional Modeling, Machine Learning, Query Optimization, Data Ingestion, Azure Data Factory, Snowflake, Apache Spark, Pandas, Pyspark, Data Lineage, Marketplace, Data Pipelines - **Published:** June 19, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=5b968196ef04df20 ## About the Role Do you have experience in Spark implementation?, * 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 #LI-REMOTE ## Description Andela is transitioning from a world-class talent marketplace into a high-scale, AI-integrated Talent Cloud. In this Senior Data Engineer role, you will be forward deployed with an enterprise-scale organization in the automotive industry undergoing a significant transformation in how it leverages data and analytics to drive commercial and operational decisions. They are investing in modern data infrastructure, advanced analytics, and AI/ML capabilities to improve performance across key business areas. The environment emphasizes strategic thinking, cross-functional collaboration, and the ability to translate complex data into actionable insights. This role requires someone who enjoys working with customers, thinks about data as a product, ensures data is reliable, accessible, and structured to enable self-service analytics across the organization. Exceptional Leadership: As an Andelan, you'll serve as a role model for the rest of the company. Think about the feedback your peers typically give you - if it usually sounds like the below, we want to hear from you. * Low ego, low drama, servant leader: You share credit, take blame. You like being wrong because it means someone else had an even better idea. * One team mentality: You break silos across teams. You put the company and mission first above your team alone. * Great listener, hungry for feedback: You're always seeking to improve - our product, our business, yourself. You solicit diverse opinions and deeply listen. * Owner, not renter: You see a problem, you fix it or find someone who will. The buck stops with you. * Player-coach: You fly high (create strategy) AND low (know the details that matter). You roll up your sleeves and get scrappy. You do this proactively collaborating with your team while actively engaging in important details. * Business problem solver: You're not just a functional expert; you consistently get praise for approaching your function through the lens of solving business problems., * 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 ## Related Videos - [PySpark - Combining Machine Learning & Big Data](https://www.wearedevelopers.com/videos/44-pyspark-combining-machine-learning-big-data) - [From Messy Queries to Scalable Systems - How Data Engineering actually works](https://www.wearedevelopers.com/videos/100203-from-messy-queries-to-scalable-systems-how-data-engineering-actually-works) - [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail) - [Advanced Typing in TypeScript](https://www.wearedevelopers.com/videos/496-advanced-typing-in-typescript) - [Empowering Retail Through Applied Machine Learning](https://www.wearedevelopers.com/videos/976-empowering-retail-through-applied-machine-learning) - [Enjoying SQL data pipelines with dbt](https://www.wearedevelopers.com/videos/823-enjoying-sql-data-pipelines-with-dbt) ## Related Articles - [Fully Remote Software Engineer Jobs](https://www.wearedevelopers.com/magazine/447-fully-remote-software-engineer-jobs) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [Making Data Warehouses Fast: A Developer’s Story](https://www.wearedevelopers.com/magazine/107-making-data-warehouses-fast-a-developer-s-story) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [Find a Developer Job: 12 Best Job Sites For Developers](https://www.wearedevelopers.com/magazine/165-find-a-developer-job-12-best-job-sites-for-developers) - [Data Engineer Salary UK](https://www.wearedevelopers.com/magazine/253-data-engineer-salary-uk)