Data & Software Engineer

• 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

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

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

Benefits

Eligibility requirements apply.

• Employer-Paid Health Care Plan (Medical, Dental & Vision)
• Retirement Plan (401k, IRA) with a generous matching program
• Life Insurance (Basic, Voluntary & AD&D)
• Paid Time Off (Vacation, Sick & Public Holidays)
• Short Term & Long Term Disability
• Training & Development
• Employee Assistance Program