4447 - Data Analytics Engineer TS/SCI FSP at Global Financial Impact - Edwin Alvarado

Laurel, Maryland, United States -

Full Time

Start Date

Immediate

Expiry Date

04 Mar, 26

Salary

120000.0

Posted On

04 Dec, 25

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Python, Data Science, Vulnerability Analysis, APIs, Atlassian Tools, Git, CNO Tools, Automated Workflows, Large Data Sets, Tradecraft Processes, Mission-Centric Insights, Open-Source Research, SIGINT Collection, CNO Capabilities, Elastic, Kibana

Industry

Description

Our client is seeking a Data Analytics Engineer to support a U.S. Government customer. This full-time position involves providing technical expertise to sustain mission-critical software and systems for a large government contract. You will leverage Python and Data Science skills to execute on a broad range of tasks throughout the development lifecycle for new CNO tools or plugins. Responsibilities: Conduct vulnerability analysis. Develop and document tradecraft processes. Analyze large data sets to generate mission-centric insights. Design, develop, and maintain automated workflows. Build scripts to convert and normalize data. Execute on customer requests and perform outreach. Must Have's: Active or rein-statable TS/SCI with Polygraph security clearance. U.S. Citizenship. 3+ years of experience and a B.S. degree in a technical discipline, or 4 additional years in lieu of a degree. Strong communication skills and ability to work independently or as part of a team. Experience with Python. Experience with Data Science and analysis of large data sets. Experience leveraging APIs. Familiarity with Atlassian Tools (Jira, Confluence) and Git. Nice to Have's: Knowledge of SIGINT collection and analysis systems. Experience with open-source research. Experience with CNO capabilities and operations. Familiarity with Elastic, Kibana, and writing analytics in PIG. Location: Laurel, MD Salary: $50,000 to $120,000 Benefits: CareFirst Medical, Dental, and Vision coverage for employees and dependents. Up to 25 days of Paid Time Off (PTO) with up to 40 hours of PTO carryover. 11 Federal Government holidays. Work-from-home opportunities. 401K company contribution, fully vested on day one. Discretionary, certification, and sign-on bonus potential. Employee referral bonus program. Annual professional development. 100% premium coverage for life and disability insurance. Additional voluntary life insurance options. Employee Assistance and Travel Protection programs. Financial planning assistance. Bereavement and jury duty leave. Monthly team and family events. Technology budget. Global Entry and annual swag budget.

Responsibilities

The Data Analytics Engineer will conduct vulnerability analysis and develop tradecraft processes while analyzing large data sets to generate mission-centric insights. Additionally, they will design, develop, and maintain automated workflows and build scripts to convert and normalize data.