Junior Data Engineer

United StatesHybridFull TimeJunior / Entry-levelPosted 2 months ago

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Role summary

A leading U.S. private mortgage insurance provider seeks a Junior Data Engineer to join their Data & Analytics Engineering team. The role focuses on modernizing the data ecosystem using cloud-first platforms and scalable data pipelines. Responsibilities include building and maintaining data and ML pipelines, supporting cloud data architectures on AWS and Snowflake, and ensuring data quality. The ideal candidate will have a Bachelor's degree, 3+ years of data engineering experience, 3+ years with AWS services, 2+ years with CI/CD, experience with Snowflake, and strong SQL, Python, or Spark skills. This is a hybrid, full-time position.

Junior Data Engineer | Hybrid

This employer is a leading publicly traded U.S. private mortgage insurance provider, dedicated to helping people achieve and maintain homeownership. They are looking for a Junior Data Engineer to join their Data & Analytics Engineering team, focusing on modernizing their data ecosystem with cloud-first platforms and scalable data pipelines.

The Role

• Build and maintain frameworks for data pipelines (ETL/ELT) and ML workflows

• Develop and maintain ML pipelines to orchestrate model execution in the cloud

• Support and optimize cloud-based data architectures leveraging AWS and Snowflake

• Design, build, and launch production-grade data pipelines

• Contribute to processes for operational excellence and ensure data quality

• Collaborate with architects, data scientists, analysts, and application teams

What You'll Need

• Bachelor’s degree in Computer Science, Engineering, Information Systems, or a related field

• 3+ years of hands-on experience with data engineering

• 3+ years experience building pipelines using AWS services (Lambda, S3, API Gateway, SNS/SQS, EventBridge, DMS, Glue, RDS, Dynamo DB, Step Functions)

• 2+ years hands-on experience with CI/CD: CodeBuild/CodePipeline or GitHub Actions/GitLab

• Experience developing data ingestion and transformation pipelines using Snowflake

• Strong programming skills in SQL, Python or Spark

What's On Offer

• Hybrid work schedule

• Generous Time Off and Volunteer Time Off

• Tuition Reimbursement, Student Loan Repayment, and Paid Family Leave

• 401k with up to 5% employer match and fitness/emotional wellness reimbursements

Apply via Haystack today!

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