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Sr Data Engineer - VHA

Company: Trilogy Federal
Location: Arlington
Posted on: February 12, 2024

Job Description:

Trilogy Federal provides financial management, information technology (IT) consulting, program management services, and strategic consulting to federal agencies. Trilogy has an extensive history helping federal clients achieve their most ambitious business modernization and optimization goals with the ability to deliver targeted subject matter expertise and full life cycle support.

Trilogy Federal is looking for a motivated and independent Sr Data Engineer to support a variety of projects across a large program. The ideal candidate will have outstanding technical, interpersonal, communication, presentation, writing, analytical, problem solving, and information gathering skills along with fundamental technique troubleshooting abilities. The Sr Data Engineer must be able to work off of minimal information and define project scope and goals. Only candidates who have worked with VHA data will be considered for this role.

The selected candidate will join a high-functioning team that focuses on cleaning and analyzing data, answering questions, and providing metrics to solve business problems. The Sr Data Engineer will develop, test, and maintain data pipelines and architectures, which data scientist teammates will use for analysis. The Sr Data Engineer will do the legwork to help the data scientist team provide accurate metrics. Our Sr Data Engineer will have an important role on a high-performing team improving healthcare for Veterans.

Primary Responsibilities:

  • Develop, construct, expand, and optimize data and data pipeline architecture
  • Define data assets to populate data models
  • Design data integrations and data quality framework
  • Design and evaluate open source and vendor tools for data lineage
  • Work closely with all business units and engineering teams to develop strategy for long term data platform architecture
  • Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.
  • Build appropriate analytics tools that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency, and other key business performance metrics
  • Support software developers, database architects, and data analysts and data scientists on data initiatives and will ensure optimal data delivery architecture is consistent throughout ongoing projects
  • Work with stakeholders to assist with data-related technical issues and support their data infrastructure needs
  • Create data tools for analytics and data scientist team members that assist them in building and optimizing products into an innovative environment
  • Plan and conduct data engineering projects and/or studies to evaluate, design, and tabulate statistical sampling plans and analytical procedures and processes. Responsibilities include detailed problem definition; identification and investigation of key variables or parameters; development and validation of assumptions; formulation of alternatives; development of performance measures of merit; establishment of data collection requirements; selection, adaptation, or development of appropriate analytical methodology; systems analysis or evaluation of alternatives; development of recommendations, and presentation of results or findings in multiple formats, forums, and to audiences of varying degree of technical knowledge and seniority
  • Interface with senior leadership on complex problems and resolves major issues, based on sound data engineering principles and affordable solutions. Serves as the principal investigator for data engineering requiring a high degree of technical competence to gauge the extent to which the perimeters of the state-of-the-art can be pushed
  • Engage with organizations, Industry and Academia to conduct necessary stakeholder analysis to ensure data engineering projects support IVC and end-user requirements.
  • Develop and aids in the production of documents, roadmaps and strategies for data environment and architecture
  • Provide support to the development of requirements documents and program baseline and program recommendations as appropriate
  • Collaborate with analytics and business teams to improve data models that feed business intelligence tools, increasing data accessibility, and fostering data-driven decision making across the organization
  • Implement processes and systems to monitor data quality, ensuring production data is always accurate and available for key stakeholders and business processes that depend on it
  • Write unit/integration tests, contributes to engineering wiki, and documents work
  • Perform data analysis required to troubleshoot data related issues and assist in the resolution of data issues

    Minimum Requirements:
    • Bachelor's degree in mathematics, statistics, computer science, data science or a field directly related to the position.
    • 5+ years of relevant work experience in healthcare data analytics.
    • Demonstrated work experience with VHA data
    • Experience using CDW
    • Must have experience with relational SQL (specifically t-SQL), Spark, Spark-Streaming, Python, R, PowerBI, Github, PySpark, DataBricks, Palantir, Data Lakes, and Scala
    • Experience with Azure DevOps, Azure Cloud Services, Machine Learning
    • Experience writing custom objective functions for equity scaling in machine learning
    • Familiarity with ensemble modeling
    • Familiarity with ICD9 / 10 diagnosis and procedural codes and CPT procedural codes
    • Experience with REGEX
    • Microsoft Word, Excel, PowerPoint, and Outlook.
    • Strong analytical, problem-solving, facilitation, and communication skills, including written, verbal, and interpersonal.
    • Ability to think about projects holistically to identify next steps and courses of action that will support the client's goals.
    • Ability and drive to learn from challenges and take on progressive responsibility.
    • Excellent organizational skills and strong attention to detail.
    • The ability to obtain a Public Trust Clearance.

      Preferred Qualifications:
      • A Master's degree in mathematics, statistics, computer science, data science or a field directly related to the position.
      • Hypertext Preprocessor (PHP)
      • Statistical Analysis System(SAS)
      • Tableau
      • Collibra
      • AWS Cloud Services
      • Hadoop
      • Kafka
      • NoSQL databases, including Postgres and Cassandra Data pipeline and workflow management tools: Azkaban, Luigi, and Airflow
      • Cloud services: Elastic Compute Cloud (EC2), Elastic MapReduce (EMR), Remote Desktop Services (RDS), and Redshift
      • Storm
      • Java
      • C++

        Benefits (including but not limited to):
        • Health, dental, and vision plans
        • Optional FSA
        • Paid parental leave
        • Safe Harbor 401(k) with employer contributions 100% vested from day 1
        • Paid time off and 11 paid holidays
        • No cost group term life/AD&D plan, and optional supplemental coverage
        • Pet insurance
        • Monthly phone and internet stipend
        • Tuition and training reimbursement

          $95,000 - $110,000 a year

          This range is not a guarantee of compensation or salary, as Trilogy Federal conducts an individual equity review for every candidate based on experience, location, education, industry experience, and comparisons to internal pay bands. In addition to salary, Trilogy offers robust benefits including medical/dental/vision insurance coverage, 401(k) match, paid holidays, paid time off, tuition reimbursement, and a very supportive work/life balance.

          Regarding remote positions, Trilogy Federal is only able to offer virtual employment in the following states: Colorado, Connecticut, Delaware, D.C., Florida, Illinois, Indiana, Maryland, Massachusetts, New York, South Carolina, Texas, and Virginia.

          Trilogy Federal is an Equal Employment Opportunity employer. We do not discriminate based upon race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.

Keywords: Trilogy Federal, Arlington , Sr Data Engineer - VHA, Engineering , Arlington, Virginia

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