Data & Software Engineer

Overview We are 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.

Candidate must have experience:

What will you do?

• 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. 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 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