Job Details

Join to apply for the Data Engineer - REMOTE role at HHS Technology Group

Who We Are

At HHS Tech Group (HTG), our work matters, and each of us makes a difference in the lives of people every day.

What We Do

HHS Tech Group creates innovative, purpose-built technology products and solutions, resulting in value and positive, quantifiable impact for our clients and those they serve.

Our people bring our software to life through collaborative relationships with our clients, working as a team, and helping to solve complex problems that create positive personal and community impact for the people our clients serve.

Our People Matter Most

Improving the lives of others and making an impact daily is no simple task. We are dedicated to our teams professional and personal growth and well-being. Some key rewards and benefits include:

• Generously sponsored Medical Insurance
• Fully paid premiums on dental, vision, life, and disability insurance.
• Generous 401k matching program (100% match up to 6%)
• Tuition and Certification reimbursement
• Open PTO policy

Join us!

WHO WE ARE HIRING: Data Engineer DyD

What You Will Do

HHS Technology Group is rapidly expanding! We develop innovative software products for the healthcare insurance domain, driving impactful solutions through data science and artificial intelligence. Our growth trajectory is exceptional, and we are leveraging advanced analytics to build a powerful platform for data ingestion, data integration, and actionable insights. Youll contribute to developing healthcare insurance software that identifies key data trends and insights, shaping the future of data-driven decision-making in healthcare.

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

Minimum Qualifications

• 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

Desired Skills

• 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