> Markdown version of [/jobs/ext/2126117-data-engineer](https://www.wearedevelopers.com/jobs/ext/2126117-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:** Tysons, VA, United States - **Salary:** $85,000.0 - $141,000.0 - **Contract:** Permanent contract - **Skills:** Cloud Computing, Information Systems, Information Engineering, Data Security, Data Systems, DevOps, Python (Programming Language), Operational Databases, Cloud Services, SQL Databases, Data Ingestion, Pyspark, Information Technology, Tools for Reporting, Data Lakehouse, Data Pipelines, Databricks - **Published:** August 19, 2026 - **Apply:** https://www.careerjet.com/job/us738945e0ed425ee224cda724c8574991/eaa ## About the Role * Databricks experience is mandatory. * Strong skills in Python, PySpark, and SQL. * Experience building and maintaining production-grade data pipelines in cloud-native environments. * Understanding of data modeling, orchestration, automation, and quality frameworks. * Experience with DevOps practices supporting data engineering workflows. * Strong communication skills and ability to collaborate with government stakeholders. * Bachelor's degree in Computer Science, Engineering, Data Science, Information Systems, or equivalent experience. What Would Be Nice To Have: * Experience supporting government or mission-critical data systems. * Familiarity with data lakehouse architecture patterns. * Experience with dashboarding or analytics tools supporting mission users. * Knowledge of cloud services supporting Databricks-based environments. ## Description * Design, build, and maintain scalable and secure data pipelines supporting mission critical workflows. * Implement best practices for data ingestion, transformation, orchestration, quality, and sustainment. * Work with stakeholders to gather requirements and deliver reliable, maintainable data engineering solutions. * Ensure long-term reliability, observability, and performance of production data systems. * Develop and operate solutions within Databricks (mandatory), consistent with mission platform operations. * Produce documentation, diagrams, data models, and sustainment procedures. * Support troubleshooting, optimization, and enhancements to production systems. * Collaborate with cross-functional technical and mission teams to align engineering outputs with program goals., All communication regarding recruitment for a Guidehouse position will be sent from Guidehouse email domains including @guidehouse.com or . Correspondence received by an applicant from any other domain should be considered unauthorized and will not be honored by Guidehouse. Note that Guidehouse will never charge a fee or require a money transfer at any stage of the recruitment process and does not collect fees from educational institutions for participation in a recruitment event. Never provide your banking information to a third party purporting to need that information to proceed in the hiring process. If any person or organization demands money related to a job opportunity with Guidehouse, please report the matter to Guidehouse's Ethics Hotline. If you want to check the validity of correspondence you have received, please contact . Guidehouse is not responsible for losses incurred (monetary or otherwise) from an applicant's dealings with unauthorized third parties. Guidehouse does not accept unsolicited resumes through or from search firms or staffing agencies. All unsolicited resumes will be considered the property of Guidehouse and Guidehouse will not be obligated to pay a placement fee., Do you love decomposing problems to develop products that impact millions of people around the world? Would you enjoy identifying, defining, and building software solutions that re… + 6 hours ago ## Related Videos - [PySpark - Combining Machine Learning & Big Data](https://www.wearedevelopers.com/videos/44-pyspark-combining-machine-learning-big-data) - [Enjoying SQL data pipelines with dbt](https://www.wearedevelopers.com/videos/823-enjoying-sql-data-pipelines-with-dbt) - [From DevOps to Scaled DevOps: How We’re Rebuilding Continuous Delivery as a Platform](https://www.wearedevelopers.com/videos/100018-from-devops-to-scaled-devops-how-we-re-rebuilding-continuous-delivery-as-a-platform) - [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) - [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail) - [OLTP in the Lakehouse: Redefining Data for AI Workloads](https://www.wearedevelopers.com/videos/2038-oltp-in-the-lakehouse-redefining-data-for-ai-workloads) ## Related Articles - [Data Engineer Salary UK](https://www.wearedevelopers.com/magazine/253-data-engineer-salary-uk) - [Top Big Data Technologies That You Need to Know](https://www.wearedevelopers.com/magazine/108-top-big-data-technologies-that-you-need-to-know) - [Making Data Warehouses Fast: A Developer’s Story](https://www.wearedevelopers.com/magazine/107-making-data-warehouses-fast-a-developer-s-story) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [Data Analyst Salary in the UK](https://www.wearedevelopers.com/magazine/278-data-analyst-salary-in-the-uk) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer)