Note: The job is a remote job and is open to candidates in USA. HHS Technology Group develops innovative software products and technology solutions for commercial and government clients, including healthcare insurance platforms. The Data Engineer will build and maintain scalable data pipelines, big data solutions, and automated processing workflows while ensuring data security, quality, and compliance. The role also involves translating stakeholder requirements into technical solutions and supporting data-driven insights.

Responsibilities

• Develop and maintain scalable data pipelines to support ETL/ELT processes
• Design, build, and maintain big data solutions for analytics and reporting
• Optimize and automate data processing workflows
• Ensure data security and compliance with industry standards, including HIPAA and secure data transfers
• Implement data quality rules, automated testing frameworks, and validation processes to ensure data integrity
• Work with stakeholders to understand business requirements and translate them into technical solutions

Skills

• 5+ years' experience using SQL for ETL functions
• 5+ years' experience with Python, Scala, or Java
• 3+ years' experience with Apache Airflow and Apache Spark
• 2+ years' experience with Snowflake or Redshift
• 2 + years' experience with visualization and analytics tools
• Knowledge of processing Claims/EMR/EHR/Provider/Member datasets
• Experience with NodeJS, ReactJS
• Experience with data security concepts, including encryption, secure data transfers (TLS 1.2+ standards), and tokenization
• Experience implementing and managing data quality rules and automated testing frameworks (e.g., Great Expectations)
• Experience working with various file formats such as Parquet, Avro, ORC, Delta, Iceberg, or Hudi
• Understanding of S3 data encryption standards for HIPAA data (AES 256+)
• Experience in data pipeline building and documentation
• Experience collaborating with clients' technical teams to ensure efficient data processing
• Data modeling techniques, including relational, dimensional (star and snowflake schemas), and NoSQL modeling
• Hands-on experience with distributed systems and cloud technologies such as AWS, Azure, or other cloud platforms
• Demonstrated ability to load data independently, implement their own solutions, and consider cost-effectiveness
• Familiarity with LLMs & MLOps
• Attitude and willingness to learn:
• Ability to multi-task, take initiative, and self-manage duties and responsibilities
• Strong follow-through skills, with a commitment to seeing tasks and projects to completion

Benefits

• Generously sponsored Medical Insurance
• Fully paid premiums on dental, vision, life, and disability insurance.
• Generous 401k matching program
• Flexible PTO policy

Company Overview

Company H1B Sponsorship