Note: The job is a remote job and is open to candidates in USA. HRUCKUS is a veteran-owned management consulting and recruiting firm supporting technical and defense-related organizations. The company is seeking a Data Engineer to develop and maintain data pipelines, scalable data architectures, and data processing solutions for a legacy-system migration to a consolidated enterprise platform. The role also supports Medicaid plan onboarding, data quality, Agile delivery, and platform modernization efforts.
Responsibilities
- Develop and maintain data pipelines for ingestion, transformation, validation, and delivery of data
- Design, build, test, and support scalable data architectures and data processing solutions
- Create and optimize large-scale data structures to support reporting, business intelligence, and analytics initiatives
- Develop and maintain real-time data processing applications and data pipelines
- Ensure data quality, integrity, and reliability throughout the data lifecycle
- Identify opportunities to improve data efficiency, reliability, and automation
- Configure and onboard new Medicaid plans onto a standardized enterprise platform
- Collaborate with Agile team members to deliver project objectives and sprint commitments
- Participate in code reviews, version control activities, and deployment processes
- Document technical solutions and maintain development standards
- Write and optimize SQL queries, including joins, subqueries, aggregations, and data manipulation statements
- Work with Teradata databases and utilities
- Perform daily Git activities including commits, branching, merging, rebasing, and pull requests
- Track and deliver work through Jira sprint assignments
- Support data migration and platform modernization efforts
Skills
- The ideal candidate is a U.S. resident with a minimum of 2 years of data engineering experience, strong SQL and Teradata development skills, and proficiency with Git, along with a nice-to-have background in Python or cloud-based production environments
- * Bachelor's degree in Computer Science, Engineering, Mathematics, Statistics, Information Systems, or a related quantitative field
- * Minimum 2 years of Data Engineering or related experience
- * Strong SQL development experience
- * Experience working with Teradata databases
- * Experience using Git or other source code repositories
- * Experience building, maintaining, and troubleshooting data pipelines
- * Knowledge of data ingestion, transformation, validation, and quality assurance processes
- * Experience working within Agile Scrum teams
- * Familiarity with cloud-based production environments
- * Experience with Teradata FastLoad and MultiLoad utilities
- * Experience with Python, Java, or C#
- * Knowledge of data processing and data mining technologies
- * Experience with Microsoft SQL Server
- * Experience with CI/CD and DevSecOps practices
- * Experience with Real-time data processing and pipeline development
- * Strong problem-solving and troubleshooting skills
- * Ability to work independently while collaborating effectively within a team environment
- * Experience supporting enterprise-scale data platforms
- * Comfortable working in a fast-paced Agile development environment
Benefits
- Remote work
Company Overview