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Full Stack Data Engineer at Relocity. . Location: Remote (United States).  . . What Relocity is Doing. . Relocity is reimagining the global mobility experience. We enable enterprises to attract, retain, and engage talent globally through our unique blend of mobility software solutions and high-touch destination services. Our personalized digital transferee experience accommodates all mobile talent and is enabled by our AI-driven native mobile app and workforce mobility platform. Our core values drive us to focus on our customers, innovation, integrity, and excellence. Relocity serves thousands of cities across the United States, Europe, and Asia. Learn more at www.relocity.com. . . What You’ll Do…. . This role is ideal for a high performing. hybrid engineer. who thrives at the intersection of data, infrastructure, and product engineering. You might be a data engineer who has grown into full stack, or a full stack engineer who has developed strong data chops and an interest in AI/LLM systems.. As a versatile . Full Stack Data Engineer . joining our data team, you’ll bridge the gap between data engineering, data science, and full-stack development to build scalable pipelines, enable AI/LLM-powered applications, and deliver insights that drive product and operational decisions.  You will work closely with our Product team and collaborate with engineers, leveraging modern data tools, cloud infrastructure, and AI technologies.. . How You’ll Do It…. . The scope of work may include but is not limited to the following:. . . Design, build, and maintain. data pipelines and workflows . to product features, AI agents, and support analytics. . Manage and optimize. Postgres. and. MySQL. databases and ensure data integrity, performance, and scalability. . Develop and deploy services on . AWS . (Glue, Step Functions, ECS) with a focus on observability and reliability. . Contribute to both . back-end (PHP/Laravel, Python). and. front-end (when needed). development to integrate data systems into products. . Apply data science techniques to support features like recommendation engines, area/neighborhood statistics, and other predictive models. . Implement and maintain . automated testing frameworks . for data pipelines, APIs, and applications. . Collaborate with product and engineering teams to design data models that support AI Agents and LLM-powered applications. . Ensure compliance with best practices for. security, observability. , and . scalability . in data workflows.. . . What Past Experience and Current Skills Will Enable Your Success In This Role?. . . Strong problem-solving mindset with a can-do attitude. . Hands-on experience with . Postgres. . Proficiency with . AWS services. (Glue, Step Functions, ECS). . Proven experience with . pipelines/workflows. and . observability practices. . Python and PHP development experience. . Knowledge of. data science methods. : . . Big data processing. . Recommendation engines. . AI Agents / LLM integration. . Area-based statistics (e.g., neighborhoods, crime data, etc.). . . . Experience writing and maintaining . automated tests. . Candidates must be authorized to work in the U.S. without sponsorship. . . . Pay Range: 140,000-160,000 plus Bonus. . How We Support You and Work Life Balance…. . . Competitive Compensation. . Paid Time Off. . Paid Parental Leave. . Remote Workplace. . Flexible Work Schedules. . Health, Dental, Vision, LTD Insurance. . 401(k). . . Relocity is an Equal Opportunity Employer and does not discriminate against any applicant on the basis of race, color, religion/creed, national origin, gender, or sex, marital status, age, disability, use of a guide dog or service animal, sexual orientation, military/veteran status, or any other status protected by Federal or State law or local ordinance. Relocity will only employ those who are legally authorized to work. Any offer of employment is conditioned on the successful completion of a background investigation, credit check and drug test.. . #LI-GR1. . #LI-Remote