Data Analyst

USA VA Home Office (VAHOME)

Full Time Senior-level / Expert Clearance required USD 131K - 178K

General Dynamics Information Technology

Delivering consulting, technology and mission services to every major agency across the U.S. government, defense and intelligence community.

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Type of Requisition:

Regular

Clearance Level Must Currently Possess:

None

Clearance Level Must Be Able to Obtain:

None

Suitability:

Public Trust/Other Required:

Other

Job Family:

Data Analysis

Job Qualifications:

Skills:

Big Data, Data Warehousing (DW), Structured Query Language (SQL)

Certifications:

Experience:

10 + years of related experience

US Citizenship Required:

Yes

Job Description:

GDIT’s DOJ/OJP team is looking for a dynamic and experienced Data Scientist to guide and build our client's Data management Center of Excellence. Our client is engaging in a significant overhaul of its legacy IT environment and approach. You, as the Data Scientist, will play a pivotal role in the planning and execution of this modernization effort. While working closely with senior Federal staff, you will design and implement the foundation on which OJP will build its future systems.

Required Qualifications:

  • Excellent written and oral communication skills.
  • Extensive experience in data mining, AWS Cloud Data Services – Glue, S3, EventBridge, Athena, Presto SQL, Lambda and data analysis
  • Understanding of various data structures and common methods in data transformation.
  • Proficiency in data processing and statistical programming using PySpark, SQL.
  • Expert level Experience in use of Ansible, Azure DevOps (ADO), CloudFormation, dbt and YAML
  • Experience in use of other data visualization tools such as SAS Visual Analytics and Socrata
  • A demonstrated history of hands-on experience in quantitative analysis
  • A demonstrated history of working in large enterprise level applications.
  • Ability to work with various stakeholders with different technical abilities to gather data requirements.
  • Experience working in AWS cloud services.
  • Experience working in Agile development environments.
  • A track record of delivery in challenging, face-paced environments
  • BS or equivalent + 10 yrs related experience, or MS + 8 yrs related experience.

Desired Qualifications

  • Experience with ETL tools (AWS Glue, S3, EMR, Spark, SQL , Presto SQL)
  • Programming experience in Python and hands on knowledge with API developer tool, VS Code is a plus.
  • Familiarity with big data concepts and approaches. examples include, the Hadoop ecosystem and related technical stack (i.e. HDFS, Hive, Spark)
  • Familiarity with RedShift, Snow Flake data warehousing technologies.

Contract Requirements:

  • Contract Requires US Citizenship
  • Must be able to obtain and maintain an Agency specific Public Trust clearance

The likely salary range for this position is $131,750 - $178,250. 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:

None

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.

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.
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Category: Analyst Jobs

Tags: Agile Ansible APIs Athena AWS AWS Glue Azure Big Data CloudFormation Consulting Data analysis Data management Data Mining Data visualization Data Warehousing dbt DevOps ETL Hadoop HDFS Lambda Machine Learning PySpark Python Redshift SAS Spark SQL Statistics

Perks/benefits: 401(k) matching Career development Competitive pay Health care Insurance Medical leave Parental leave

Region: North America
Country: United States

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