Data Engineer

Clearance Level
Data Science
Washington, District of Columbia

REQ#: RQ106634

Travel Required: Less than 10%
Public Trust: NACI (T1)
Requisition Type: Regular

The Data Engineer provides system and data engineering support to data analysis operations throughout the reporting and analysis lifecycle. The Engineer will build and maintain systems to extract, clean and transform data, using advanced automation and scripting tools.

Duties include:

  • Work with business owners and data analysts to develop technical solutions for reporting products

  • Develop and maintain cron jobs and algorithms to extract and transform data into actionable information

  • Build, test and maintain database pipeline architectures

  • Use ETL tools to extract and load data for various reports

  • Create data validation tools

  • Automate data analysis and collection products

  • Create documentation and presentations

  • Create and maintain optimal data pipeline architecture

  • Develop and conduct tests to ensure data solutions meet documented user requirements.

  • Analyze IT environments to identify and assess critical capabilities and recommend solutions to problems of moderate scope and complexity.

  • Collaborate with data science team to transform data and integrate algorithms and models into automated processes.

  • Work with stakeholders including the Executive, Product, Data and Design teams to assist with data-related technical issues and support their data infrastructure needs.

  • May coach and review the work of less-experienced professionals.

  • Provide ongoing training for data analysts and staff on data tools and products

  • Assist data analysts with data preparation to create sources for data products

  • Help create governance processes and procedures. 

  • Support data collection, analysis and visualization projects as needed, including data modeling, database creation, and technical support

  • Recommend and implement technical and automated solutions for manual processes

  • Provide recommendations to streamline and improve current business processes

  • Participate in special projects as needed


Requires BS/BA degree with 5 years of experience or 3 years with a Master’s Degree


  • Expert coding knowledge including SQL and Python (required), and R (preferred)

  • Knowledge of Linux and setting up cron jobs

  • Understanding of relational and non-relational databases

  • Experience working with large datasets, performing tasks such as data cleaning and processing (ETL)

  • Experience with automation/scripting

  • Experience with machine learning

  • Knowledge of cloud storage and cloud computing/analytics

  • Understanding of data security

  • Ability to build prototypes of new data products and to automate workflows

  • Willingness to learn and explore new data tools

  • Ability to conduct feasibility studies to determine suitability to program requirements

  • Experience with  Tableau, Power BI, MS Office 365 suite

  • Experience with data science tools such as STATA

  • Excellent analytical and writing skills

  • Strong verbal communication skills

  • Highly motivated and collaborative

COVID-19 Vaccination Requirement: To protect the health and safety of its employees and to comply with customer requirements, GDIT may require employees in certain positions to be fully vaccinated against COVID-19. Vaccination requirements will depend on the status of the federal contractor mandate and customer site requirements.

We are GDIT. The people supporting some of the most complex government, defense, and intelligence projects across the country. We deliver. Bringing the expertise needed to understand and advance critical missions. We transform. Shifting the ways clients invest in, integrate, and innovate technology solutions. We ensure today is safe and tomorrow is smarter. We are there. On the ground, beside our clients, in the lab, and everywhere in between. Offering the technology transformations, strategy, and mission services needed to get the job done.

GDIT is an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or veteran status, or any other protected class.