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 s.


• Due to the nature of the work, a United States Government Clearance is required to be eligible for the position**