Data Engineer - Full Performance, TS/SCI with FSP - $115K-$170K + 15% 401k at Millennial Software Solutions Inc

Chantilly, Virginia, United States -

Full Time

Start Date

Immediate

Expiry Date

25 Jun, 26

Salary

170000.0

Posted On

27 Mar, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Pipelines, SQL, Python, Linux, Shell Scripting, AWS, PostgreSQL, Oracle, MySQL, JSON, Data Transformation, Data Ingestion, Automation, Data Retrieval, Data Analysis, Data Management

Industry

Defense and Space Manufacturing

Description

Description About Millennial Software: Millennial Software is revolutionizing the landscape of security and defense by leveraging our core competencies in software development, automation, DevSecOps, and machine learning. We are an employee-owned company, every employee receives equity in the company 100% company-paid medical, dental, and vision premiums for you and all dependents Ability to get increased salary if you don't need medical/dental/vision 100% company-paid disability and life insurance benefits 15% 401(k) company contribution 30 days of PTO/holidays Generous training budget Paid Paternal and Maternal Leave Business development / growth incentives Top notch company swag Job Description: Clearance Level Must Currently Possess: Top Secret/SCI with Full Scope Polygraph Millennial Software is seeking a Data Engineer role supporting the CIT program. In this role, you will design and maintain data pipelines, collaborate closely with development teams, and help deliver reliable data solutions that enable teams to transform data into actionable insights. Essential Functions: Build and maintain reliable data pipelines that support ingestion, transformation, and delivery of large datasets Partner with software developers and engineering teams to integrate data solutions into existing systems and applications Develop and optimize SQL queries to support data retrieval, transformation, and analysis Work with relational databases such as PostgreSQL, Oracle, and MySQL to store, manage, and access data Develop scripts and automation using Python, Linux, and shell scripting to support data processing tasks Operate within AWS environments to support cloud-based data infrastructure and workflows; prepare and structure data outputs in usable formats including JSON Requirements Required Qualifications: Active TS/SCI with Full Scope Polygraph 3 – 5 Years of experience with Master’s degree in Computer Science, Information Systems, Engineering, or equivalent additional years of specialized experience in a scientific or technical discipline 3+ years of experience developing or maintaining data pipelines in collaboration with development teams 2+ years of hands-on experience with Python Experience working with AWS cloud services Familiarity with SPARC environments and relational databases including PostgreSQL, Oracle, or MySQL Demonstrated experience writing and maintaining SQL queries; 2+ years of experience working in Linux environments including shell scripting; experience preparing and managing structured and unstructured datasets including JSON formats Desired Qualifications: Experience with workflow orchestration tools such as Apache NiFi or Apache Airflow 2+ years of development experience with Java or Scala Experience managing or supporting EMR or SPARC clusters; background in performance tuning and optimization of data pipelines or large data systems; 2+ years of experience working with Hive or Iceberg; familiarity with implementing cloud-based security practices; experience using ACM processes for code deployment Millennial Software Solutions Inc. is an Equal Opportunity Employer and does not discriminate in employment on the basis of race, color, religion, sex, national origin, political affiliation, sexual orientation, gender identity, marital status, disability and genetic information, age, membership in an employee organization, or other non-merit factor.

Responsibilities

The Data Engineer will be responsible for building and maintaining reliable data pipelines that handle the ingestion, transformation, and delivery of large datasets. This role requires close partnership with software developers and engineering teams to integrate data solutions into existing systems and applications.