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Senior Data Engineer

2 months ago

Ashburn, Virginia, United States ManTech Full time
About the Role

ManTech is seeking a highly skilled Senior Data Engineer to join our team. As a Senior Data Engineer, you will play a critical role in designing, developing, and implementing complex data analytical solutions for law enforcement personnel to assess risk of potential threats entering the country.

Key Responsibilities
  • Develop large volume data sets sourced from multiple relational tables to allow data analysts and scientists to construct training sets for machine learned models and recurring reports & dashboards.
  • Work closely with government clients and technical teams to assist in creating/managing/optimizing scheduled Extract, Transform and Load (ETL) jobs and workflows.
  • Perform data analysis, problem solving, investigation, and creative thinking to manage very large datasets to be used in various formats for varying analytical products.
  • Assist with the implementation of data migration/pipelines from on-prem to cloud/non-relational storage platforms.
  • Respond to data queries/analysis requests from various groups within an organization. Create and publish regularly scheduled and/or ad hoc reports as needed.
  • Research and document data definitions and provenance for all subject areas and primary data sets supporting the core business applications.
  • Responsible for data engineering source code control using GitLab.
Requirements
  • Experience with relational databases and knowledge of query tools and/or BI tools like Power BI or OBIEE and data analysis tools.
  • Experience with the Hadoop ecosystem, including HDFS, YARN, Hive, Pig, and batch-oriented and streaming distributed processing methods such as Spark, Kafka, or Storm.
  • Strong experience in automating ETL jobs via UNIX/LINUX shell scripts and CRON jobs.
  • Demonstrate a strong practical understanding of data warehousing from a production relational database environment.
  • Strong experience using analytic functions within Oracle or similar tools within non-relational (MongoDB, Cassandra, etc.) database systems.
  • Experience with Atlassian suite of tools such as Jira and Confluence.
  • Knowledge of Continuous Integration & Continuous Development tools (CI/CD).
  • Ability to multitask efficiently and progressively and work comfortably in an ever-changing data environment.
  • Ability to work well in a team environment as well as independently.
  • Excellent verbal/written communication and problem-solving skills; ability to communicate information to a variety of groups at different technical skill levels.
Preferred Qualifications
  • 5+ years of experience in developing, maintaining, and optimizing complex Oracle PL/SQL packages to aggregate transactional data for consumption by data science/machine learning applications.
  • 10+ years of experience in working in large (80+ TB) complex data warehousing environment. Must have full life cycle experience in design, development, deployment, and monitoring.
  • Experience with one or more relational database systems such as Oracle, MySQL, Postgres, SQL server, with heavy emphasis on Oracle.
  • Experience in architecting data engineering pipelines/data lakes within cloud services (AWS, GCP, etc.).
  • Experience with Amazon S3, Redshift, EMR, and Scala.
  • Experience with migrating on-prem legacy database objects and data to the Amazon S3 cloud environment.
  • Strong experience in converting JSON documents to targets such as Parquet, Postgres, and Redshift.
  • Experience or familiarity with data science/machine learning and development experience for supervised and unsupervised learning with structured and unstructured datasets.
Education
  • HS Diploma/GED and 20+ years
  • AS/AA and 18+ years
  • BS/BA and 12+ years
  • MS/MA/MBA and 9+ years
  • PhD/Doctorate and 7+ years
Certification
  • None
Security Clearance Requirements
  • Must be a U.S Citizen with the ability to obtain DHS CBP Suitability and Top Secret clearance
  • DHS Suitability required before start
Physical Requirements
  • The person in this position needs to occasionally move about inside the office to access file cabinets, office machinery, or to communicate with co-workers, management, and customers, which may involve delivering presentations.