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Senior Data Engineer

Job in Charlottesville, Albemarle County, Virginia, 22904, USA
Listing for: Jobtailor
Full Time position
Listed on 2026-09-05
Job specializations:
  • IT/Tech
    Data Engineering, AWS
Salary/Wage Range or Industry Benchmark: 120000 - 180000 USD Yearly USD 120000.00 180000.00 YEAR
Job Description & How to Apply Below
  • Build advanced technology solutions and implement data engineering activities on mission-driven projects
  • Deploy and develop pipelines and platforms that organize disparate data and make it meaningful
  • Work with and guide a multi-disciplinary team of analysts, data engineers, developers, and data consumers
  • Perform analytical exploration and data examination
  • Manage the assessment, design, building, and maintenance of scalable platforms for clients
  • Develop scripts and programs to convert various types of data into usable formats
  • Support project teams in scaling, monitoring, and operating data platforms
Requirements
  • 3+ years of experience supporting operations and maintenance for secure DoW information management systems
  • 3+ years of experience creating software for retrieving, parsing, and processing structured and unstructured data
  • 3+ years of experience with Python, SQL, Scala, or Java
  • 3+ years of experience building scalable ETL / ELT workflows for reporting and analytics
  • Experience using version control tools such as Git Lab, Git Hub, or Bitbucket
  • Experience creating solutions within a collaborative and cross-functional team environment
  • Ability to develop scripts and programs for converting various types of data into usable formats, and support project team to scale, monitor, and operate data platforms
  • TS/SCI clearance required
  • HS diploma or GED
  • Ability to obtain a DoD 8570 or 8140 IAT Level II Certification within 30 days of hire date
  • Experience with Terraform, Kubernetes, or Docker
  • Experience with systems administration using UNIX or Linux, including basic commands and scripting such as Bash, Ansible, or YAML
  • Experience with a public cloud, including AWS, Microsoft Azure, or Google Cloud
  • Experience with distributed data or computing tools, including Spark, Databricks, Hadoop, Hive, AWS EMR, or Kafka
  • Experience with No

    SQL implementation, including MongoDB or Cassandra
  • Experience with data warehousing using AWS Redshift, MySQL, or Snowflake
  • Experience with Agile development techniques and ceremonies
  • Experience with the Atlassian tool suite, including Jira and Confluence
  • Bachelor's degree in a Data or IT related field
Core Competencies

Demonstrates expertise in building and maintaining scalable data platforms, utilizing programming languages such as Python and SQL, and implementing ETL workflows for data processing. Proficient in collaborating within cross-functional teams and managing secure information systems with a focus on mission-driven projects.

Highest-signal resume keywords
  • Python Programming
  • ETL / ELT Workflow Development
  • Data Platform Management
  • TS/SCI Clearance
  • AWS Cloud Experience
Hard Skills
  • SQL
  • Scala
  • Java
  • Data Engineering
  • Data Analysis
  • Scripting
  • No

    SQL Implementation
  • Data Warehousing
  • Agile Development
  • Version Control
Soft Skills
  • Collaboration
  • Team Guidance
  • Analytical Exploration
Certifications & Qualifications
  • DoD 8570 IAT Level II Certification
Industry Keywords
  • Data Engineering
  • Information Management Systems
  • Mission-Driven Projects
  • Distributed Data Tools
  • Cloud Computing
Tools & Technologies
  • Git Lab
  • Git Hub
  • Bitbucket
  • Terraform
  • Kubernetes
  • Docker
  • UNIX
  • Linux
  • AWS Redshift
  • Atlassian Suite
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Position Requirements
10+ Years work experience
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