Data Engineer

Type of Requisition:

Regular

Clearance Level Must Currently Possess:

None

Clearance Level Must Be Able to Obtain:

None

Public Trust/Other Required:

NACI (T1)

Job Family:

Data Science

Job Qualifications:

Skills:

Data Analysis, Data Engineering, Palantir (Software), Python (Programming Language), Structured Query Language (SQL)

Certifications:

None

Experience:

8 + years of related experience

US Citizenship Required:

No

Job 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.

Duties include:

• 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

• 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.

• 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

Education

• Requires BS/BA degree with 8 years of experience or 6 years with a Master’s Degree.

Qualifications

• 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.

• Some 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.

• Willingness to learn and explore 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.

The likely salary range for this position is $102,000 - $138,000. This is not, however, a guarantee of compensation or salary. Rather, salary will be set based on experience, geographic location and possibly contractual requirements and could fall outside of this range.

Scheduled Weekly Hours:

40

Travel Required:

Less than 10%

Telecommuting Options:

Remote

Work Location:

Any Location / Remote

Additional 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. GDIT typically provides new employees with 15 days of paid leave per calendar year to be used for vacations, personal business, and illness and an additional 10 paid holidays per year. Paid leave and paid holidays are prorated based on the employee’s date of hire. The GDIT Paid Family Leave program provides a total of up to 160 hours of paid leave in a rolling 12 month period for eligible employees. 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.

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 30,000 experts extract the power of technology to create immediate value and deliver solutions at the edge of innovation. We operate across 30 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.

We connect people with the most impactful client missions, creating an unparalleled work experience that allows them to see their impact every day. We create opportunities for our people to lead and learn simultaneously. From securing our nation’s most sensitive systems, to enabling digital transformation and cloud adoption, our people are the ones who make change real.

Equal Opportunity Employer / Individuals with Disabilities / Protected Veterans