The
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 - 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
Requirements - TS/SCI FSP Clearance
- 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
- Candidate must have experience in:
- 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
Beth Morris NewGen Technologies
Lead Senior Recruiter
bmorris @newgentechnologies.com
www.newgentechnologies.com
