> Markdown version of [/jobs/ext/2865923-data-engineer](https://www.wearedevelopers.com/jobs/ext/2865923-data-engineer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data Engineer - **Company:** Amazon.com, Inc. - **Location:** Dallas, TX, United States - **Experience:** Experienced - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Microsoft Azure, Data Cleansing, Database Queries, Python (Programming Language), SQL Databases, Enterprise Data Management, Azure Data Factory, Data Pipelines, Databricks - **Published:** September 12, 2026 - **Apply:** https://www.careerjet.com/jobad/us33185dca596a9f738792d4602cfc6057 ## About the Role * 4-5+ years of hands-on Databricks experience * Strong SQL skills * Strong Python programming skills * Experience building and supporting data pipelines and enterprise data solutions * Ability to troubleshoot and triage data issues independently * Strong communication skills with both technical and business stakeholders * Able to work proactively with limited direction * Capable of leading projects when needed Nice-to-Have Skills These are not requirements but would be beneficial: * Azure Data Factory (ADF) * Additional Azure ecosystem experience * AI/ML data preparation experience Manager noted that ADF is not currently used heavily but familiarity with it is advantageous., * A Databricks-heavy Data Engineer * Comfortable in a Lakehouse environment * Strong in SQL and Python * Retail and merchandising savvy * Able to communicate effectively with business partners * A proactive self-starter who can hit the ground running * Someone who can own problems rather than wait for direction ## Related Videos - [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) - [RPA in the Public Sector](https://www.wearedevelopers.com/videos/86-rpa-in-the-public-sector) - [Fault Tolerance and Consistency at Scale: Harnessing the Power of Distributed SQL Databases](https://www.wearedevelopers.com/videos/1146-fault-tolerance-and-consistency-at-scale-harnessing-the-power-of-distributed-sql-databases) - [Cutting LLM Costs Without Cutting Quality: How to Beat Proprietary LLMs with Fine-Tuned Open Source](https://www.wearedevelopers.com/videos/100151-cutting-llm-costs-without-cutting-quality-how-to-beat-proprietary-llms-with-fine-tuned-open-source) - [OLTP in the Lakehouse: Redefining Data for AI Workloads](https://www.wearedevelopers.com/videos/2038-oltp-in-the-lakehouse-redefining-data-for-ai-workloads) - [TiDB, One Layer at a Time: How Distributed SQL Became an Agentic AI Backbone](https://www.wearedevelopers.com/videos/100117-tidb-one-layer-at-a-time-how-distributed-sql-became-an-agentic-ai-backbone) ## Related Articles - [Making Data Warehouses Fast: A Developer’s Story](https://www.wearedevelopers.com/magazine/107-making-data-warehouses-fast-a-developer-s-story) - [Data Engineer Salary UK](https://www.wearedevelopers.com/magazine/253-data-engineer-salary-uk) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [Top Big Data Technologies That You Need to Know](https://www.wearedevelopers.com/magazine/108-top-big-data-technologies-that-you-need-to-know) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production)