[Remote] Data Engineer
Note: The job is a remote job and is open to candidates in USA. Exodus Integrity Services is a staffing and consulting company seeking a Staff Data Engineer to join their engineering team in building modern data platforms. The role involves designing scalable data architectures, mentoring junior engineers, and driving data platform modernization with a focus on performance and security.ResponsibilitiesDefine data architecture and platform strategy, leading design across pipelines, warehouses, and data lakesBuild and optimize scalable data pipelines supporting batch and real-time processingDefine and enforce data governance, quality standards, and compliance frameworks across the platformBuild monitoring, logging, and alerting for data pipelines and services, and contribute to CI/CD workflows for data deployment and automationDrive data platform modernization, optimizing for performance, cost, and scalabilityBring an AI-forward mindset to your daily work, using tools like Claude, Cursor, and other modern AI assistants to ship higher-quality work at paceDesign and implement data contracts and event flows in collaboration with backend, platform, and engineering teamsLead the design and implementation of data pipelines for production AI/ML systems, including embeddings, vector stores, RAG data preparation, feature stores, and training/inference data flowsIntegrate data services with APIs, middleware, and third-party systems to support end-to-end data consumptionPartner with leadership on data strategy, translating technical depth into decisions others can act onCollaborate closely with engineering, analytics, AI, and product teams to align data platforms with broader goalsAdvocate for data quality, governance, and platform best practices across teams and engagementsEstablish data engineering standards that lift the quality and consistency of work across the teamMentor junior and mid-level engineers, helping them grow their craft, confidence, and impactMake high-stakes architectural decisions with clear ownership and consideration of long-term tradeoffsSkills7+ years of professional data engineering experience, with experience leading complex data platform initiativesStrong system architecture background with expertise in distributed data systemsExpert proficiency in Python, Scala, and SQLDeep expertise with cloud-native data platforms and enterprise data warehousingStrong expertise in data pipeline orchestration and processingStrong experience with streaming platforms and real-time data processing (e.g., Kafka, Kinesis, Pub/Sub)Strong data modeling expertise and experience with data transformationStrong experience with data quality, governance, and compliance frameworksStrong experience with container orchestration and CI/CD for data systemsStrong experience building data pipelines for production AI/ML systems, including embeddings, vector stores, RAG data preparation, feature stores, and training/inference data flowsDemonstrated leadership and technical mentoring experience across a team or organizationStrong stakeholder communication skills, with the ability to translate technical depth across audiencesDemonstrable, day-to-day usage and expert knowledge of AI-forward coding tools such as Claude and CursorExcellent problem-solving skills and the ability to navigate highly ambiguous technical and business challenges with sound judgmentExperience with data mesh or data fabric concepts, lakehouse architectures, or governance framework implementation is a plusCompany OverviewExodus Integrity Services (EIS) is a strategic technical consulting and IT staffing firm based in Cleveland, Ohio. It was founded in 1997, and is headquartered in Willoughby, Ohio, USA, with a workforce of 51-200 employees. Its website is https://www.gotoeisinc.com/.