Data Engineer, Fusion Innovation, Mc Lean, VA
Fusion Innovation -
Mc Lean, VA,
US
Data Engineer
Date Posted: 2024-06-01
Job description
Job Description
Fusion Innovation's recent growth has earned us a top spot in the Inc 5000 Fastest Growing Private Companies in America and in Washington Business Journal's Best Places to Work multiple years in a row. Our team members are passionate about their work and are empowered to contribute their unique skills and perspectives to our projects. Here at Fusion, we put people first. When you join us, you don't just join a company, you join a family. If you are ready to be part of a fun and engaging team where your innovative ideas are heard, supported, and make ever lasting mission impacts for our Nation's most sensitive programs, you have come to the right place.
Position Overview:
The Data Engineer shall develop new tools, code, and services to execute data engineering activities on Sponsor provided systems. Data engineering activities for each Sponsor mission organization and/or mission partner organization shall include the following tasks:
Please note that all applicants must be U.S. citizens and require additional screening from our clients.
Fusion Innovation LLC is an Equal Opportunity/Affirmative Action Employer.
Fusion Innovation's recent growth has earned us a top spot in the Inc 5000 Fastest Growing Private Companies in America and in Washington Business Journal's Best Places to Work multiple years in a row. Our team members are passionate about their work and are empowered to contribute their unique skills and perspectives to our projects. Here at Fusion, we put people first. When you join us, you don't just join a company, you join a family. If you are ready to be part of a fun and engaging team where your innovative ideas are heard, supported, and make ever lasting mission impacts for our Nation's most sensitive programs, you have come to the right place.
Position Overview:
The Data Engineer shall develop new tools, code, and services to execute data engineering activities on Sponsor provided systems. Data engineering activities for each Sponsor mission organization and/or mission partner organization shall include the following tasks:
- Movement of structure and unstructured data (gigabyte to terabyte range) using Sponsor approved methods
- Execute data ingestion activities for storing data in a local or enterprise level (Integrated Data Layer) location
- View data in its source format
- Develop code to format data that facilitates exploration
- Analyze source data formats and work with Data Scientists and Mission Partners to determine the formats and transforms that best meet mission objectives
- Develop code and tools to provide one-time and on-going data formatting and transformations into enterprise or boutique data models
- Implement existing ETL code and best practices/standards that are currently in use in the enterprise
- Develop an ETL Code Transition Plan when the Sponsor identifies a specific project. Projects will be identified periodically. The draft is due after 30 days of notification from the Sponsor. The plan should include details on how the code can be integrated into the enterprise ETL service portfolio. The final plan is due 30 days after receiving comments from the Sponsor
- Develop and deliver Software Documentation for each code project that includes ETL mappings, code use guide, code location (generally GitHub) and access instructions), and anomalies encountered.
- Facilitate Code Reviews twice a year for each Sponsor mission organization or mission partner organization and one for each project. Code Reviews shall identify bugs and areas for code improvement to ensure high quality software. Contractor shall document results.
- The Contractor shall provide consulting services to the Mission Partner to support mission needs for data transport, ingestion, conditioning, access, and management.
- The Contractor shall support code review with the Sponsor up to two times a year.
- Active Top Secret/SCI with Polygraph
- AWS (Intermediate)
- Linux (Intermediate)
- Python (Intermediate)
- SQL (Intermediate)
- HTTP API Usage/Integration (Intermediate)
- Experience analyzing diverse file types (text, image, video, audio, and binary) (Basic)
- Experience with geospatial tools/data (Basic)
- Docker (Intermediate)
- Puppet (Intermediate)
- Solr (Basic)
- Postgres Admin(Basic)
- MariaDB Admin (Basic)
- Hadoop/Spark (Intermediate)
- ElasticSearch (Intermediate)
- Kibana (Basic)
- Kafka (Beginner)
- NiFi (Intermediate)
- Palantir (Basic)
- Databricks (Basic)
Please note that all applicants must be U.S. citizens and require additional screening from our clients.
Fusion Innovation LLC is an Equal Opportunity/Affirmative Action Employer.