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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data Engineer - **Company:** ImagineX Consulting - **Location:** United, WV, United States (Remote available) - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Clean Code Principles, Artificial Intelligence, Amazon Web Services, Apache HTTP Server, Code Review, Continuous Integration, Data Architecture, Information Engineering, Extract Transform Load (ETL), Relational Databases, Database Testing, Software Debugging, Dimensional Modeling, Distributed Computing Environment, Distributed Data Store, Distributed Systems, Open Source Technology, SQL Databases, Technical Data Management Systems, Strategies of Testing, Transaction Data, Enterprise Data Management, Apache Spark, Git, AWS Glue, Data Management, Software Version Control, Data Pipelines, Serverless Computing - **Published:** September 27, 2026 - **Apply:** https://www.juju.com/job/16_292a1f72 ## About the Role * 7+ years of professional software or data engineering experience. * Expert proficiency in SQL and advanced relational data management techniques. * Strong hands-on experience building distributed data processing frameworks using Apache Spark. * Proven experience architecting cloud data solutions, serverless execution with AWS Glue, and interactive analytics via Amazon Athena. * Deep understanding of modern open-source table formats, specifically constructing transactional lakehouse layers with Apache Hudi. * Deep understanding of data engineering fundamentals, dimensional modeling, testing strategies (data quality validation, unit, integration), and version control (Git). * Strong communication skills, with the ability to articulate complex technical data concepts to both technical and non-technical stakeholders. * Proven ability to lead technical teams, mentor engineers, and drive successful data project delivery. ## Description As a Senior Data Engineer, you will lead the design, implementation, and operationalization of modern enterprise data platforms. You will be responsible for architecting scalable data solutions, driving technical best practices, and mentoring other engineers while remaining hands-on with the code. This role is ideal for a seasoned engineer who thrives in complex data environments, possesses strong leadership skills, and is passionate about building production-grade systems using modern SQL, AWS analytics, and distributed computing stacks., * Lead the development and maintenance of robust, scalable data pipelines and ETL/ELT workflows using AWS Glue and Apache Spark. * Architect and build complex, transactional data lakehouses leveraging Apache Hudi for efficient ingestion and data management. * Guide design discussions, conduct rigorous code reviews, and provide data architecture leadership for development squads. * Collaborate with cross-functional team members, product managers, and client stakeholders to deliver high-quality data features and business insights from conception to deployment. * Establish data engineering standards, drive clean code initiatives, and champion best practices across the data development lifecycle. * Leverage AI-assisted tools to optimize development workflows, automate data testing, and improve overall pipeline reliability. * Troubleshoot, debug, and optimize high-scale analytical queries within Amazon Athena and distributed data systems for peak performance and security. * Oversee CI/CD pipeline integration, cloud data infrastructure deployments, and workflow automation efforts. * Mentor junior and mid-level data engineers, fostering a culture of technical excellence and continuous growth. ## Related Videos - [How we built an AI-powered code reviewer in 80 hours](https://www.wearedevelopers.com/videos/1511-how-we-built-an-ai-powered-code-reviewer-in-80-hours) - [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) - [Are Code Reviews Worth It? Insights from 16 Years of Review Data](https://www.wearedevelopers.com/videos/1135-are-code-reviews-worth-it-insights-from-16-years-of-review-data) - [How a Small Team Shrank a Microsoft Monorepo by 94%](https://www.wearedevelopers.com/videos/1236-how-a-small-team-shrank-a-microsoft-monorepo-by-94) - [Git for Code Reviews](https://www.wearedevelopers.com/videos/429-git-for-code-reviews) - [Modern Data Architectures need Software Engineering](https://www.wearedevelopers.com/videos/1030-modern-data-architectures-need-software-engineering) ## Related Articles - [Making Data Warehouses Fast: A Developer’s Story](https://www.wearedevelopers.com/magazine/107-making-data-warehouses-fast-a-developer-s-story) - [How We Built a Worry-Free System That Runs for 10+ Years – And What We’d Do Again](https://www.wearedevelopers.com/magazine/751-how-we-built-a-worry-free-system-that-runs-for-10-years-and-what-we-d-do-again) - [Data Engineer Salary UK](https://www.wearedevelopers.com/magazine/253-data-engineer-salary-uk) - [Dev Digest 120 - Apple and peers](https://www.wearedevelopers.com/magazine/455-dev-digest-120-apple-and-peers) - [Top Big Data Technologies That You Need to Know](https://www.wearedevelopers.com/magazine/108-top-big-data-technologies-that-you-need-to-know) - [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)