Data & Software Engineer

OverviewVTG 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. What will you do?Building end-to-end data pipelines leveraging PythonUsing orchestration tools to deploy data pipelines, including configuring and updating Spark JobsContainerizing 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 tasksIntegrating Al/ML services and modelsWork with stakeholders to understand data requirements, assess feasibility, and design appropriate solutions with minimal oversightLeverage strong problem-solving and debugging skills for data quality issues, pipeline failures, and performance bottlenecksLeverage a background in large-scale data migration or platform modernization effortsContribute to data engineering documentation, best practices, and design patterns.Do you have what it takes?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