AI Data Engineer II

Job TitleEchoStar is reimagining the future of connectivity. Our business reach spans satellite television service, live-streaming and on-demand programming, smart home installation services, mobile plans and products. Today, our brands include Boost Mobile, DISH TV, Gen Mobile, Hughes and Sling TV.Job Duties and ResponsibilitiesCandidates 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-efficiencyBuild fully automated CI/CD workflows within Gitlab to reduce deployment friction and ensure 100% version-controlled data infrastructureApply SOLID engineering principles and modular design to create a reusable testing framework that guarantees data pipeline stability and qualityFoster a culture of excellence by leading technical code reviews and mentoring peers to elevate the team's overall software engineering maturityIntegrate AI-driven automation tools to proactively monitor pipeline health and optimize resource allocation across the AWS ecosystemFacilitate seamless collaboration between Data Science and Product teams to transform experimental models into fault-tolerant production solutionsSkills, Experience and RequirementsCore Skills and Competencies (What you'll bring)Advanced proficiency in Python and SQL alongside a deep understanding of distributed systems architecture and modern data patternsExpertise in Databricks, Spark, and Delta Lake orchestration to manage large-scale, high-velocity data environmentsA strong foundation in DevOps methodologies, specifically regarding infrastructure-as-code and containerization using Docker or KubernetesAI Application literacy, with the ability to leverage machine learning libraries and NLP frameworks to enhance data processing capabilitiesProven capability in applying design patterns and testing frameworks to ensure the integrity of complex software ecosystemsCritical experience in building and managing highly available, fault-tolerant systems within an enterprise AWS environmentBackground in handling sensitive data and maintaining strict security protocolsMinimum RequirementsMinimum Education: Bachelor's Degree in Computer Science, Electrical Engineering, or a related fieldMinimum Experience: 3+ years of experience in data engineeringRequired Technical Skills: Must have at least 3+ years of experience with:Python and SQLAI Platforms - Databricks and Spark (including Delta Lake)CI/CD pipelines and Gitlab workflowsVisa sponsorship not available for this role#LI-JZ2Salary RangesCompensation: $100,980.00/Year - $136,625.00/YearBenefitsWe offer versatile health perks, including flexible spending accounts, HSA, a 401(k) Plan with company match, ESPP, career opportunities, and a flexible time away plan; all benefits can be viewed here: EchoStar Benefits.The base pay range shown is a guideline. Individual total compensation will vary based on factors such as qualifications, skill level, and competencies; compensation is based on the role's location and is subject to change based on work location.Candidates need to successfully complete a pre-employment screen, which may include a drug test and DMV check. Our company is committed to fostering an inclusive and equitable workplace where every individual has the opportunity to succeed. We are dedicated to providing individuals with criminal or arrest records a fair chance of employment in accordance with local, state, and federal laws.The posting will be active for a minimum of 3 days. The active posting will continue to extend by 3 days until the position is filled.We pride ourselves on developing and promoting talent as an Equal Employment Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or protected veteran status. EchoStar will accommodate the sincerely held religious beliefs of employees if such accommodations are not undue hardships and are otherwise within the bounds of applicable law. All qualified applicants with arrest or conviction records will be considered for employment in accordance with local, state, and federal law. You may redact any information that identifies age, date of birth, or dates of school/graduation from your application documents before submission and throughout our application process. EchoStar will provide reasonable accommodation to otherwise qualified job applicants and employees with known physical or mental disabilities, unless doing so poses an undue hardship on the Company, poses a direct threat of substantial harm to others, or is otherwise not required by law. EchoStar has a more detailed Accommodation Policy that applies to employees. EchoStar endeavors to make echostar.com and jobs.echostar.com accessible to users. Please contact View email address on click.appcast.io if you would like to discuss the accessibility of our website or need assistance completing the application process. This contact information is for accommodation requests only; do not use this contact information to inquire about the status of applications. Click the links to access the following statements: EEO Policy Statement, Pay Transparency, EEOC Know Your Rights (English / Spanish)