Data Engineer

Data Integration Engineer | Hybrid

We're hiring for a publicly traded U.S. private mortgage insurance provider that enables lenders to help people achieve homeownership. This organization is committed to innovation, seeking to positively impact the communities it serves while fostering an inclusive culture for its employees.

The Role

• Design, build, and maintain data ingestion and integration pipelines using cloud services.

• Implement and support application-to-application integrations, APIs, and cloud data movement patterns.

• Collaborate with architects, data engineers, and application owners to create scalable integration solutions.

• Build reusable integration frameworks, data movement templates, and operational runbooks.

• Monitor, troubleshoot, and optimize pipelines, ensuring they meet enterprise standards for quality, security, reliability, and performance.

• Contribute to continuous improvement through code reviews, design reviews, and enhancing development standards.

What You'll Need

• Bachelor’s degree in computer science, engineering, information systems, or a related field.

• 5+ years of hands-on experience with cloud data integration or data engineering.

• Proven experience building integrations using various AWS services.

• Strong experience with IICS (Cloud Data Integration, Cloud Application Integration).

• 5+ years of hands-on experience with CI/CD tools like CodeBuild/CodePipeline or GitHub Actions/GitLab.

• Experience developing data ingestion and transformation pipelines using Snowflake.

• Strong SQL skills and familiarity with data ingestion, data preparation, and data integration patterns.

What's On Offer

• Hybrid work schedule with dedicated in-office days.

• Generous time off, including volunteer time off.

• Tuition reimbursement and student loan repayment.

• Competitive benefits package, including a 401k with employer match.

Apply via Haystack today!