Data Integration Engineer III (Remote - US)

This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Data Integration Engineer III in the United States.

This role offers the opportunity to join a collaborative, agile team focused on delivering high-quality data integration solutions that drive business insights and operational efficiency. You will partner with business analysts, data engineers, and cross-functional stakeholders to design, build, and maintain scalable data pipelines. The position involves end-to-end responsibility for ingestion, transformation, and extraction of data, with a focus on accuracy, reliability, and performance. You will troubleshoot complex data issues, define interface specifications, and ensure adherence to data standards while continuously improving processes. This role is ideal for a proactive, technically skilled professional who enjoys problem-solving in a fast-paced, agile environment and is committed to learning and innovation.

Accountabilities:

• Lead and implement high-impact data integration projects, including pipelines for new customer implementations and internal system connections.
• Collaborate with partners and internal teams to define requirements for data ingestion, transformation, and extraction.
• Build, test, and deploy scalable, well-documented data pipelines aligned with established data standards.
• Analyze and troubleshoot data quality issues; perform root cause analysis and implement solutions to improve data reliability.
• Partner with teams to diagnose platform or processing issues and contribute to continuous improvement initiatives.
• Develop deep subject-matter expertise in platform data models, integration patterns, and healthcare administrative data sources.
• Maintain consistency across data models, create source-to-target mappings, and produce interface definitions.
• Participate in agile ceremonies, contribute to technical discussions, and help refine architecture, tooling, and automation processes.

Requirements

• Bachelor’s degree in Information Management, Computer Science/Engineering, Mathematics, Business, or related field.
• 4+ years of hands-on experience in data-centric testing, database environments, and integration projects; healthcare claims or enrollment data experience is highly preferred.
• Strong proficiency in SQL, data validation, multidimensional data models, and concepts such as slowly changing dimensions (SCD) and change data capture (CDC).
• Experience with ETL/ELT tools (Talend or similar) is a plus.
• Experience working on agile teams within a CI/CD development environment.
• Ability to translate complex data and business requirements into functional specifications and scalable data solutions.
• Strong foundation in data warehousing principles, architecture, and implementation at scale.
• Excellent collaboration, problem-solving, and communication skills, with the ability to work effectively in a remote, fast-paced environment.

Benefits

• Competitive salary range: $80,000–$95,000 USD.
• Eligibility for corporate bonus program and stock options.
• Comprehensive medical, dental, and vision coverage.
• 401(k) plan with generous company match.
• Flexible time off, including vacation, sick leave, and 12 paid holidays.
• Mental health and wellness support.
• Opportunities for professional development, training, and innovation projects.
• Remote-friendly position with the flexibility to work from anywhere in the United States.

Jobgether is a Talent Matching Platform that partners with companies worldwide to efficiently connect top talent with the right opportunities through AI-driven job matching.

When you apply, your profile undergoes an AI-powered screening process designed to identify top talent efficiently and fairly:
🔍 Our AI evaluates your CV and LinkedIn profile thoroughly, analyzing your skills, experience, and achievements.
📊 It compares your profile to the job’s core requirements and past success factors to determine your match score.
🎯 We automatically shortlist the 3 candidates with the highest match to the role.
🧠 When necessary, our human team may perform an additional manual review to ensure no strong profile is missed.

The process is transparent, skills-based, and free of bias — focusing solely on your fit for the role. Once the shortlist is complete, it is shared with the hiring company, which handles final decisions and next steps.

Thank you for your interest!