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    Data Engineer Data Analytics - Atlanta, GA, United States - HHS Technology Group, Inc.

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    Description

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

    HTG is a leader in developing and delivering innovative, purpose-built modular software and technology solutions to clients in the commercial and government sectors.

    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.

    Each day, our software products and our people are making a difference.
    We are dedicated to our team's professional and personal growth and well-being. Generously sponsored Medical Insurance
    Fully paid premiums on dental, vision, life, and disability insurance.
    Tuition and Certification reimbursement
    Open PTO policy
    Data Engineer DyD

    We create software products relevant to the healthcare insurance domain.

    We are leveraging data science to create healthcare insurance software to identify data trends which would indicate fraud waste and abuse scenarios as well as third-party liability, thusly allowing the insurance provider to recover their funds, which may have been paid erroneously.

    This is a fully remote role.

    2+ years of work experience with ETL
    ~ Expert-level skills in writing SQL
    ~ Python and SQL/MongoDB skills are must requirements.
    ~ Experience with Big Data technologies such as Spark
    ~ Experience with AWS Big Data technologies such as AWS Glue/EMR, S3, AWS Athena
    ~ Experience with Data warehouses such as Snowflake/Redshift
    ~ Knowledge of processing Claims/EMR/EHR/Provider / Member datasets.
    ~ Working with HIPAA and Secure Data transfers (TLS 1.Understand data s3 Data encryption standards for HIPAA data (AES 256 +)
    Data pipeline building and preparing documentation and flow charting.
    Working with a client's technical team to ensure efficient processing of data.

    Components of this modular software can be re-purposed or built upon to deliver cloud based technical web services solutions.



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