Data & Software Engineer

VTG

  • McLean, Virginia
  • 30+ days ago
  • Full-time
Want to know if you’re a fit?
Upload your resume and let our AI show you.

Skills

  • AWS Lambdaunmatched
  • Amazon Simple Storage Service (S3)unmatched
  • Amazon Web Services (AWS)unmatched
  • Analysis Skillsunmatched
  • Apacheunmatched
  • Apache Sparkunmatched
  • Bash Scriptingunmatched
  • Best Practicesunmatched
  • Cisco Unityunmatched
  • Cloud Applicationsunmatched
  • Computer Programmingunmatched
  • Computer Scienceunmatched
  • Data Analysisunmatched
  • Data Formatsunmatched
  • Data Managementunmatched
  • Data Migrationunmatched
  • Data Processingunmatched
  • Data Qualityunmatched
  • Database Designunmatched
  • Database Extract Transform and Load (ETL)unmatched
  • Debugging Skillsunmatched
  • Design Patterns Programming Methodologiesunmatched
  • Dockerunmatched
  • Documentationunmatched
  • Feasibility Analysisunmatched
  • Financeunmatched
  • Gitunmatched
  • Industry Standardsunmatched
  • Information/Data Security (InfoSec)unmatched
  • Javaunmatched
  • MySQLunmatched
  • NoSQLunmatched
  • Operational Support Systems (OSS)unmatched
  • Performance Tuning/Optimizationunmatched
  • PostgreSQLunmatched
  • Privacy Controlsunmatched
  • Problem Solving Skillsunmatched
  • Python Programming/Scripting Languageunmatched
  • Query Optimizationunmatched
  • Requirements Managementunmatched
  • SQL (Structured Query Language)unmatched
  • Scripting (Scripting Languages)unmatched
  • Sensitive Compartmented Information (SCI)unmatched
  • Software Engineeringunmatched
  • Team Playerunmatched
  • Top Secret Clearanceunmatched

Description

Overview:

VTG is seeking a Data & Software Engineer works with a small team to build complex data flows for a custom application. Successful candidate will have advanced Python programming skills, familiarity with Java, an understanding of data security, privacy, governance and compliance principles and a demonstrated history of building production data pipelines and ETL workflows at scale. 

Responsibilities:
  • Building end-to-end data pipelines leveraging Python
  • Using orchestration tools to deploy data pipelines, including configuring and updating Spark Jobs
  • Containerizing and deploying applications in cloud environments like AWS.
  • Working with MySQL and PostgreSQL including performance tuning, schema design, and query optimization for complex, analytical workloads. 
  • Leveraging industry standard tools for code control (Git, IaaC control, etc.)
  • Working with data catalogs, tracking data lineage  and handling a variety of data formats, including Geospatial.
  • Using Bash scripting for automation and data processing tasks
  • Integrating Al/ML services and models
  • Work with stakeholders to understand data requirements, assess feasibility, and design appropriate solutions with minimal oversight
  • Leverage strong problem-solving and debugging skills for data quality issues, pipeline failures, and performance bottlenecks
  • Leverage a background in large-scale data migration or platform modernization efforts
  • Contribute to data engineering documentation, best practices, and design patterns.
Qualifications:
  • Active TS/SCI W/ Polygraph required. 
  • Bachelor's degree in Computer Science, Engineering, Finance, or a related technical field, or equivalent practical experience.
  • Minimum of 5 years' experience with: 

    ·  Apache Spark & PySpark

    ·  Advanced Python skills (including Pandas & NumPy)

    ·  Docker, Podman

    ·  AWS S3, Lambda & Step functions

    ·  Apache Iceberg, Airflow, etc.

    ·  SQL (with Trino)

    ·  NoSQL, DynamoDB

    ·  Unity Catalog OSS, Apache Polaris

    ·  Apache Superset

    ·  Terraform or CloudFormation

    ·  OpenLineage

    ·  H3, PostGIS

Numbers & Facts

LocationMcLean, Virginia
Job TypeFull-time

Similar Jobs

See more jobs