Overview
Skills
Job Details
MINDBANK JOB OPENING
JOB TITLE: Software Engineer (Data Analytics Focus) / Software Engineer Level 2
JOB LOCATION: Columbia, MD- 100% on site- 40 hours per week.
JOB CLEARANCE REQUIRED: Must have a NSA TS/SCI Full Scope Poly Active within 2 years.
JOB PAY: $ 180,000.00 200,000.00 W2
JOB BENEFITS: Fully paid - Medical, Dental, Vision, Life, 401k, Paid time off 25 days, 11 paid holidays, 3 additional closure days, training 5 days paid for a year, parental leave, performance bonus!
JOB TYPE: Direct Hire
RELOCATION: Yes, the company will pay for relocation.
CONTRACT PERIOD: 4 years year 1
JOB DESCRIPTION:
In this role you will be a member of the Mission Intelligence (MI) team supporting a variety of data engineering, analysis, and automation efforts. The MI team maintains a business intelligence platform supporting data-driven decisions in the enterprise. Your primary responsibility will be to ensure the availability of this mission-essential platform. You will also contribute to the MI team as a software engineer and analytic developer where you will design, develop, and integrate solutions involving the analysis of large data sets to establish mission cognizance and deliver mission-centric insights.
Software Engineer with Data Analytics Focus Responsibilities:
- Maintain and advance a mission-essential business intelligence platform.
- Elicit requirements from stakeholders, gather and analyze available data, and develop solutions for delivering key metrics.
- Develop analytics to combine, normalize, and enrich large data sets.
- Design and implement Extract, Transform, Load (ETL) workflows to convert and normalize data.
- Augment the platform with new tools or technologies.
- Provide guidance to more junior software engineers and data scientists.
Software Engineer with Data Analytics Focus Qualifications:
YOE Requirement: 8 yrs., B.S. in a technical discipline or 4 additional yrs. in place of B.S.
Minimum Requirements:
- Production-grade software development experience in Java AND Python.
- Experience deploying and maintaining Elastic Stack components (Elasticsearch, Kibana).
- Familiarity with customer authentication and authorization platforms and standards.
- Experience with one or more Extract, Transform, Load (ETL) or data engineering platforms (e.g., Apache NiFi, AirFlow).
- Experience with service containerization and deployment with Docker/Kubernetes.
- Familiarity with Git for software version control.
- Experience with Atlassian Tools (Jira, Confluence).
Nice to Haves:
- Knowledge of map-reduce analytic environments (e.g., Hadoop).
- Experience with cloud-based deployment environments (e.g., AWS).
- Experience prototyping web applications (JavaScript).
- Knowledge of end-to-end SIGINT collection and analysis systems.
- Experience with production CNO capabilities and operations.