> Markdown version of [/jobs/ext/1108499-data-engineer](https://www.wearedevelopers.com/jobs/ext/1108499-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:** Techno Talent Inc. - **Location:** Rockville, MD, United States - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Amazon Web Services, Amazon S3, Big Data, Continuous Integration, Information Engineering, Database Queries, Github, Apache Hadoop, Apache Hive, Python (Programming Language), Octopus Deploy, Performance Tuning, Prometheus, Sql Optimization, GitHub Copilot, Grafana, Apache Spark, Gitlab, Kubernetes, Terraform, GPT, Docker, Jenkins - **Published:** June 16, 2026 - **Apply:** https://www.dice.com/job-detail/95d70016-db58-491b-bc30-64701b04b815 ## About the Role * 5+ years of Data Engineering experience * Strong hands-on experience with Apache Spark * Experience with Amazon EKS / EMR on EKS * Big Data technologies: Hadoop, Hive, Trino * Strong Python or Scala development skills * Advanced SQL (window functions, joins, complex queries) * Kubernetes administration and troubleshooting * AWS services: S3, EMR, Glue, Athena, Lambda * Experience processing large-scale datasets and tuning Spark jobs * Familiarity with AI tools such as GitHub Copilot, ChatGPT, Claude, or Amazon Q Preferred Skills: * CI/CD (GitLab, Jenkins, GitHub Actions, ArgoCD) * Terraform / Infrastructure as Code * Docker, Prometheus, Grafana * Spark on Kubernetes * Financial Services experience ## Description We are seeking experienced Data Engineers with strong expertise in Apache Spark, AWS, Kubernetes/EKS, and Big Data platforms. ## Related Videos - [ Evaluating AI models for code comprehension](https://www.wearedevelopers.com/videos/1462-evaluating-ai-models-for-code-comprehension) - [Docker Compose: Rediscovered](https://www.wearedevelopers.com/videos/1978-docker-compose-rediscovered) - [Innovating Developer Tools with AI: Insights from GitHub Next](https://www.wearedevelopers.com/videos/1268-innovating-developer-tools-with-ai-insights-from-github-next) - [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) - [Streaming AI Responses in Real-Time with SSE in Next.js & NestJS](https://www.wearedevelopers.com/videos/1630-streaming-ai-responses-in-real-time-with-sse-in-next-js-nestjs) - [Alibaba Big Data and Machine Learning Technology](https://www.wearedevelopers.com/videos/37-alibaba-big-data-and-machine-learning-technology) ## Related Articles - [Data Engineer Salary UK](https://www.wearedevelopers.com/magazine/253-data-engineer-salary-uk) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [Top Big Data Technologies That You Need to Know](https://www.wearedevelopers.com/magazine/108-top-big-data-technologies-that-you-need-to-know) - [Dev Digest 120 - Apple and peers](https://www.wearedevelopers.com/magazine/455-dev-digest-120-apple-and-peers) - [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) - [Making Data Warehouses Fast: A Developer’s Story](https://www.wearedevelopers.com/magazine/107-making-data-warehouses-fast-a-developer-s-story)