> Markdown version of [/jobs/ext/3860101-rel-data-engineer](https://www.wearedevelopers.com/jobs/ext/3860101-rel-data-engineer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # REL Data Engineer - **Company:** Everforth Apex - **Location:** Merrifield, VA, United States - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Java (Programming Language), Application Programming Interfaces (APIs), Microsoft Azure, Information Systems, Information Engineering, Data Integrity, Extract Transform Load (ETL), Data Systems, Data Warehousing, Electronic Data Interchange (EDI), Python (Programming Language), Cloud Services, SQL Databases, Data Streaming, Reliability of Systems, Information Technology, Data Management, Data Pipelines, Databricks - **Published:** October 22, 2026 - **Apply:** https://www.dice.com/job-detail/bfedd685-a74f-46d7-b174-9b69d2b9c953 ## About the Role Education: Bachelor's degree in Computer Science, Engineering, Information Systems, or a related field of study. Experience: Five to seven years of professional experience in data engineering, demonstrating comprehensive knowledge of data warehousing and ETL processes. Technical Skills: Advanced proficiency in programming languages including Python, Java, and SQL, along with hands-on experience utilizing cloud services such as Databricks and Azure. Preferred Qualifications * Proven experience supporting mortgage data platforms or working within lending technology environments. * Advanced problem-solving capabilities and experience managing multiple competing priorities in an agile environment. ## Description Our organization is seeking a professional Data Engineer to design, develop, and optimize data pipelines and systems. The selected candidate will manage, interpret, and derive valuable insights from complex data streams while ensuring system reliability. Operating under minimal supervision, this professional will collaborate with stakeholders to align data solutions with overall organizational objectives. Advanced technical proficiency and a solid understanding of data warehousing principles are required to support key projects within the lending technology ecosystem., * Design, develop, and maintain robust data pipelines and workflows for collection, connection, and storage. * Collaborate with business stakeholders to ensure data engineering solutions align with organizational goals. * Develop and maintain secure, reliable APIs and integrations to support data exchange across internal and external systems. * Support and enhance mortgage data platforms and data pipelines across the lending technology ecosystem. * Develop and enforce data engineering policies and industry best practices to guarantee data integrity. * Ensure high performance, scalability, and quality of data systems at scale. * Lead efforts to optimize existing data workflows and enhance overall system reliability. * Build collaborative working relationships with team members and domain subject matter experts. * Take a leadership role in planning, executing, and managing small projects and initiatives. * Mentor and guide junior members of the data engineering team.