Senior Data Engineer - NASA (REMOTE)
Riverdale Park, Maryland, United States
INNOVIM is seeking a Senior Data Engineer to support NASA’s Earth Observing System Data and Information System (EOSDIS) Evolution and Development 3 (EED-3) contract based out of Maryland.
**This position is remote, requires a U.S. Person and quarterly travel for PI Planning**
Primary Responsibilities:
The Senior Data Engineer is a key development team member supporting the evolution and sustainment of data analytics services for EED enterprise systems and supporting infrastructure. In this role, the Senior Data Engineer will support the collection, curation, visualization, and automated reporting of information and insights across a suite of data analytics platforms spanning cloud hosted services (Cloud Metrics) and end-user community engagement (Google Analytics).
Responsibilities include:
- Design, development, evolution, and sustainment of data analytics infrastructures including ElasticSearch, Google Analytics, and AWS Athena and S3
- Implementing and refining data pipelines for the extract, transform, and load ETL of new data streams
- Preparing data visualizations and reporting for both internal application development teams and program leadership via Kibana, AWS QuickSight, Google Analytics 4
- Support data management activities including retention, curation, catalog management, and schema development or extensions with focus on data management automation wherever practical.
REQUIRED SKILLS:
- ElasticSearch data cluster sustainment and visualization via Kibana
- Tracking and reporting application usage metrics via Google Analytics in an enterprise setting
- Experience architecting cloud-native solutions using best practices, such as the AWS Well Architected Framework.
- Experience developing cloud-hosted application using cloud-native / serverless services such as Lambda, Elastic Container Service, Fargate, SNS, SQS, Step Functions, CloudWatch, Kinesis
- Experience with infrastructure automation via Terraform, CloudFormation, Puppet
- Familiarity with DevOps development practices including source code management with Git, CI/CD and automated testing.
- Demonstrated experience communicating with technical information, especially as relates to numeric / statistical information through data visualizations.
- Experience with modern data management approaches including Data Lakes, Data Catalogs
- Experience with key cloud data integration services: Ex AWS Glue | Athena
- Familiarity with machine learning practices and techniques
REQUIRED EDUCATION/EXPERIENCE:
- Bachelor’s degree in Computer Science, Information Systems, Data Analytics, Engineering, or a related discipline
- 6+ years of experience in an engineering role related to data analytics
- 3+ years of experience development applications leveraging Python and/or NodeJS
INNOVIM is committed to providing superior work in the fields of science, engineering, data analytics and technology to government agencies. We offer competitive compensation packages, including comprehensive nationwide Medical/Dental/Vision insurance programs, life insurance, matching 401k contribution and Educational/Training support.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Athena AWS AWS Glue CI/CD CloudFormation Computer Science Data Analytics Data management Data pipelines DevOps Elasticsearch Engineering ETL Git Kibana Kinesis Lambda Machine Learning Node.js Pipelines Puppet Python QuickSight Statistics Step Functions Terraform Testing
Perks/benefits: Career development Competitive pay Health care
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