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Data Engineer

Analytica
United States - Remote, United StatesRemotefull_timeVerifiedPosted 14 Jul 2025

About the role

Analytica is seeking a Data Engineer to support a complex data program for the Defense Health Agency.  This role will work closely with reporting and analytics developers, data governance and data architects to build robust, high quality data pipelines that enhance productivity and operational efficiency.  This position is for US Citizens only and candidate will hold (or be able to hold) a US Secret Clearance.  The position is a remote position with occasional onsite meetings in at San Antonio, TX as required.

Analytica has been recognized by Inc. Magazine as one of the fastest-growing 250 businesses in the US for 3 years. We work with U.S. government clients in health, civilian, and national security missions to build better technology products that impact our day-to-day lives. The company offers competitive compensation with opportunities for bonuses, employer-paid health care, training and development funds, and 401k match.   

Responsibilities:
  • Support the Military Health System (MHS) by supporting data engineering that enhance the Military Health System's (MHS) ability to leverage data as a strategic asset 
  • Ensure data interoperability, governance, and quality to support enterprise-wide decision-making and healthcare optimization play a critical role in designing and implementing data architecture frameworks that enhance the Military Health System's (MHS) ability to leverage data as a strategic asset.
  • Design and build robust and scalable data pipelines for managing structured and unstructured data using traditional databases (Oracle, PostgreSQL, etc.) or cloud Databases such as Amazon Redshift or AWS Vertica 
  • Translate business needs into: 
    • data architecture solutions development within supported data systems. 
    • data orchestration pipelines (source to target analysis & recommendations), data sourcing, cleansing, augmentation and quality control processes within supported data systems. 
    • Prototype, test and integrate new data tools (i.e. data features and functionality) as defined by the product owners and business teams 
  • Monitor and troubleshoot data import, analysis, and display errors.

Required Qualifications:
  • Bachelor’s degree in information technology, Computer Science, Engineering or equivalent technical field 
  • 3+ years creating data pipelines using cloud based ETL tools, like AWS Glue (AWS preferred)
  • 2+ years experience with Python and SQL (Java and Python preferred)
  • Experience working on relational NoSQL and SQL databases
  • Experience designing and implementing various data pipeline patterns and strategies
  • Strong knowledge of data security principles
  • Prior experience with DHA M2 or MDR databases, CERNER EHR a strong plus
  • Must be a US Citizen and must possess or be eligible for a SECRET clearance

 
About ANALYTICA: Analytica is a leading consulting and information technolo

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Analytica

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