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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # AI Data Engineer II - **Company:** ECHOSTAR - **Location:** Englewood, CO, United States - **Experience:** Experienced - **Salary:** $101,000.0 - $137,000.0 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Amazon Web Services, Code Review, Continuous Integration, Information Engineering, Data Infrastructure, Software Design Patterns, DevOps, Distributed Systems, Fault Tolerance, Python (Programming Language), Modular Design, Software Engineering, SQL Databases, Data Processing, Apache Spark, Gitlab, Data Lakes, AI Platforms, Kubernetes, Information Technology, Data Pipelines, Software Library, Docker, Databricks - **Published:** August 15, 2026 - **Apply:** https://attract-careers1-echostar.icims.com/jobs/100627/login?mode=job&iis=Job+Board&iisn=BUILT+IN ## About the Role * Advanced proficiency in Python and SQL alongside a deep understanding of distributed systems architecture and modern data patterns * Expertise in Databricks, Spark, and Delta Lake orchestration to manage large-scale, high-velocity data environments * A strong foundation in DevOps methodologies, specifically regarding infrastructure-as-code and containerization using Docker or Kubernetes * AI Application literacy, with the ability to leverage machine learning libraries and NLP frameworks to enhance data processing capabilities * Proven capability in applying design patterns and testing frameworks to ensure the integrity of complex software ecosystems * Critical experience in building and managing highly available, fault-tolerant systems within an enterprise AWS environment * Background in handling sensitive data and maintaining strict security protocols, * Minimum Education: Bachelor's Degree in Computer Science, Electrical Engineering, or a related field * Minimum Experience: 3+ years of experience in data engineering * Required Technical Skills: Must have at least 3+ years of experience with: + Python and SQL + AI Platforms - Databricks and Spark (including Delta Lake) + CI/CD pipelines and Gitlab workflows ## Description Candidates must be willing to participate in at least one in-person interview, which may include a live whiteboarding or technical assessment session. You will address the challenge of transforming complex, fragmented data requirements into scalable, production-ready AI infrastructure using advanced Databricks and Spark architectures. By implementing rigorous software engineering disciplines and automated CI/CD workflows, you will eliminate bottlenecks in data delivery and ensure the reliability of mission-critical pipelines. Your role is pivotal in harmonizing cross-functional goals with high-quality code standards to drive the next generation of our data platform's evolution. What Success Looks Like (Objectives) * Deliver scalable, high-performance data pipelines using Databricks and Spark that meet rigorous departmental OKRs for performance and cost-efficiency * Build fully automated CI/CD workflows within Gitlab to reduce deployment friction and ensure 100% version-controlled data infrastructure * Apply SOLID engineering principles and modular design to create a reusable testing framework that guarantees data pipeline stability and quality * Foster a culture of excellence by leading technical code reviews and mentoring peers to elevate the team's overall software engineering maturity * Integrate AI-driven automation tools to proactively monitor pipeline health and optimize resource allocation across the AWS ecosystem * Facilitate seamless collaboration between Data Science and Product teams to transform experimental models into fault-tolerant production solutions ## Related Videos - [WeAreDevelopers LIVE - Modern DevOps for IoT Devices and More](https://www.wearedevelopers.com/videos/1805-wearedevelopers-live-modern-devops-for-iot-devices-and-more) - [Docker Compose: Rediscovered](https://www.wearedevelopers.com/videos/1978-docker-compose-rediscovered) - [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) - [Alibaba Big Data and Machine Learning Technology](https://www.wearedevelopers.com/videos/37-alibaba-big-data-and-machine-learning-technology) - [Enabling automated 1-click customer deployments with built-in quality and security](https://www.wearedevelopers.com/videos/83-enabling-automated-1-click-customer-deployments-with-built-in-quality-and-security) - [DevOps Maturity Check – a way to balance autonomy and alignment](https://www.wearedevelopers.com/videos/58-devops-maturity-check-a-way-to-balance-autonomy-and-alignment) ## Related Articles - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift) - [What Industries Outside of AI Are Hiring The Most AI Experts?](https://www.wearedevelopers.com/magazine/98-what-industries-outside-of-ai-are-hiring-the-most-ai-experts) - [Data Engineer Salary UK](https://www.wearedevelopers.com/magazine/253-data-engineer-salary-uk) - [Got AI ideas but no money? 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