The Role
Builds and maintains ETL and database pipeline architectures, automates data collection and validation, supports data modeling and reporting, collaborates with stakeholders and data science to integrate models, coaches junior staff, and implements governance and technical solutions for large datasets.
Summary Generated by Built In
Type of Requisition:
RegularClearance Level Must Currently Possess:
NoneClearance Level Must Be Able to Obtain:
NonePublic Trust/Other Required:
BI Full 6C (T4)Job Family:
Data Science and Data EngineeringJob Qualifications:
Skills:
Data Analysis, Extract Transform Load (ETL), Palantir (Software), Relational DatabaseCertifications:
NoneExperience:
8 + years of related experienceUS Citizenship Required:
NoJob Description:
Position Description: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.Position Duties:- Work with business owners and data analysts to develop technical solutions for reporting products.
- 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.
- Creates and maintains optimal data pipeline architecture.
- Develops and conducts tests to ensure data solutions meet documented user requirements.
- Analyzes IT environments to identify and assess critical capabilities and recommend solutions to problems of moderate scope and complexity.
- Collaborates with data science team to transform data and integrate algorithms and models into automated processes.
- Works 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.
- Respond and fulfill data requests as required.
- Participate in special projects as needed.
- Requires BS/BA degree in related discipline along with 8 years of experience or 6 years with a Master’s Degree.
- Expert coding knowledge including SQL and Python (required), and R (preferred).
- Experience working with Palantir Foundry, and tools such as Contour, Code Repository, Code Workbook, Pipeline Builder, Data Lineage.
- Experience with GitHub, MongoDB, MySQL, PostgreSQL, Salesforce and Tableau.
- Knowledge of Databricks a plus.
- 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.
- Knowledge of cloud storage and cloud computing/analytics.
- Understanding of data security.
- Ability to build prototypes of new data products and to automate workflows.
- Ability to learn and comprehend new data tools.
- Ability to conduct feasibility studies to determine suitability to program requirements.
- Excellent analytical and writing skills.
- Strong verbal communication skills.
- Highly motivated and collaborative.
- This position requires an existing Public Trust or the ability to obtain one.
- This role and associated duties will be performed on site at a government facility located in Washington, DC.
- #priority
Scheduled Weekly Hours:
40Travel Required:
Less than 10%Telecommuting Options:
OnsiteWork Location:
USA DC WashingtonAdditional Work Locations:
Total Rewards at GDIT:
Our benefits package for all US-based employees includes a variety of medical plan options, some with Health Savings Accounts, dental plan options, a vision plan, and a 401(k) plan offering the ability to contribute both pre and post-tax dollars up to the IRS annual limits and receive a company match. To encourage work/life balance, GDIT offers employees full flex work weeks where possible and a variety of paid time off plans, including vacation, sick and personal time, holidays, paid parental, military, bereavement and jury duty leave. To ensure our employees are able to protect their income, other offerings such as short and long-term disability benefits, life, accidental death and dismemberment, personal accident, critical illness and business travel and accident insurance are provided or available. We regularly review our Total Rewards package to ensure our offerings are competitive and reflect what our employees have told us they value most.
Our Identity Verification Process:
As part of the hiring process, we will ask you to complete an identity verification process that leverages advanced biometrics and artificial intelligence to ensure authenticity and protect against identity fraud. You are expected to be on camera during virtual interviews. We reserve the right to take your picture to verify your identity and prevent fraud. By proceeding, you authorize the collection, processing, and use of your biometric data for identity verification and security purposes.About Our Work:
We are GDIT. A global technology and professional services company that delivers consulting, technology and mission services to every major agency across the U.S. government, defense and intelligence community. Our 26,000 experts extract the power of technology to create immediate value and deliver solutions at the edge of innovation. We operate across 50 countries worldwide, offering leading capabilities in digital modernization, AI/ML, Cloud, Cyber and application development. Together with our clients, we strive to create a safer, smarter world by harnessing the power of deep expertise and advanced technology.Join our Talent Community to stay up to date on our career opportunities and events atgdit.com/tc.
Equal Opportunity Employer / Individuals with Disabilities / Protected VeteransSkills Required
- BS/BA in related discipline with 8 years experience (or Master’s with 6 years)
- Expert SQL
- Expert Python
- R
- Experience with Palantir Foundry (Contour, Code Repository, Code Workbook, Pipeline Builder, Data Lineage)
- ETL and data pipeline architecture experience
- Experience creating data validation and data quality tools
- Automation and scripting experience
- Experience with GitHub
- Experience with MongoDB
- Experience with MySQL
- Experience with PostgreSQL
- Experience with Salesforce
- Experience with Tableau
- Databricks
- Knowledge of cloud storage and cloud computing/analytics
- Understanding of relational and non-relational databases
- Experience working with large datasets, data cleaning and processing
- Understanding of data security
- Ability to build prototypes and automate workflows
- Ability to learn new data tools and conduct feasibility studies
- Strong analytical, writing, and verbal communication skills; collaboration and mentoring experience
- Existing Public Trust or ability to obtain one; must work onsite in Washington, DC
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The Company