Maxar is looking to deliver high-quality analytics solutions and needs a Senior Data Engineer to further this mission by learning existing solutions, assisting in migrating them to a new data lake house environment, and developing data-pipeline best practices.
Requirements
- Minimum of 5 years of technical experience.
- Minimum of 5 years’ experience with SQL including complex queries, SQL tuning, CTEs.
- Minimum of 3 years’ experience with Python.
- Demonstrated experience building & orchestrating automated, production-level data pipelines and solutions (ETL/ELT).
- Experience with file-based data storage, including Parquet or Iceberg.
- Experience with data catalogs (ex. Hive, AWS Glue).
- General understanding of key AWS services (e.g. EC2, S3, EKS, IAM, lambda).
Responsibilities
- Operate in a cloud-based AWS environment.
- Design, develop, and support scalable, reliable cloud data solutions using open-source and COTS tooling.
- Develop high-quality, resilient data pipelines and business solutions.
- Analyze and interpret data from diverse systems for reporting applications.
- Actively identify opportunities to improve our infrastructure and propose solutions to realize them.
- Collaborate with a team of skilled DevOps Engineers, Data Engineers, and Business Intelligence Developers.
- Gain exposure to one of the world’s foremost repositories of geospatial data.
Other
- Must be a U. S. citizen and have an active or current TS/SCI clearance.
- Bachelor’s degree in computer science, geography, or related field. Four additional years of experience may be substituted for a degree.
- Minimum of 5 years of technical experience.
- Ability to work in a hybrid environment with several days a week on-site in Herndon, VA.
- Must be flexible and adaptable in a rapidly changing environment.
