Sr Data Engineer (2 openings)- TS/SCI FSP

Job Title: Sr Data Engineer - TS/SCI FSP

Job Location: Chantilly VA 20151

Onsite Requirements:

• TS/SCI FSP
• Python
• ETL

Job Description:

• Develop new tools, code, and services to execute data engineering activities involving data of varying types and in varying conditions.
• Activities include the following tasks:
• Movement of structured and unstructured data using approved methods.
• Execute data ingestion activities for storing data in a local or enterprise level location.
• Develop code to format data that supports exploration.
• Analyze source data formats and work with Data Scientists and partners to determine the formats and transforms that best meet mission objectives.
• Develop code and tools to provide one-time and on-going data extraction from various repositories, formatting and transformations into enterprise or standalone data models.
• Develop new ETL and perform O&M and enhancements on existing ETL code using best practices/standards.
• Develop and deliver documentation for each project including ETL mappings, code use guide, code location and access instructions.
• Design and optimize Data Pipelines using tools such as Spark, Apache Iceberg, Trino, OpenSearch, EMR cloud services, NiFi and Kubernetes containers
• Ensure the pedigree and provenance of the data is maintained such that the access to data is protected
• Clean and preprocess data to enable access for advanced analytics
• Collaborate with enterprise working groups to advance the state of data standards
• Collaborate with the engineering team, data stewards, and mission partners to aid in getting actionable value out of the data holdings
• Collaborate with software engineers to update, configure, and maintain data services based on the requirements
• Ensure data quality by working with the testing and data quality team to enhance standardization of data conditioning pipelines
• Experience adapting to various types and formats of data, and working with development teams to integrate new data processing platforms

Required Skills:

• 10+ years' experience with Data lifecycle engineering
• Development and maintenance of extract, transform and load (ETL) tools and services
• Cloud and on-prem data storage and processing solutions
• Python, SQL, Spark and other data engineering programming
• COTS and open-source data engineering tools such as ElasticSearch and NiFi
• Processing data within the Agile Lifecycle

Preferred Skills/Experience:

• Experience using AI/LLMs to accelerate the processing and transformation of data

• **3rd party and subcontract staffing agencies are not eligible for partnership on this position. 3rd party subcontractors need not apply.
• This position requires candidates to be eligible to work in the United States, directly for an employer, without sponsorship now or anytime in the future.
• This client is a US Federal Government contractor and is legally required to hire US Citizens. US Citizens will only be considered for this role.
• Due to the nature of the work, a United States Government Clearance is required to be eligible for the position**