About The Position

Millennium Space Systems, a part of Boeing Defense, Space and Security (BDS), is a fast, agile small satellite company focused on national security space. Our missions have direct impact to global security, like missile warning and Earth observation. Our team is curious, bold and innovative. We take risks, innovate and explore new techniques and technologies. We influence change because we challenge the status quo. And when we watch our satellites launch, we know each one of us made it happen. As a Data Engineering Intern at MSS, you will expand the company's self-service data initiative by building data products in a Microsoft Azure tech stack. Your work will focus on synthesizing datasets across multiple source systems, transforming complex schemas into clean, interpretable data products. The result: business stakeholders across the enterprise gain independent access to trusted data, while machine learning initiatives benefit from a richer, more reliable data ecosystem. Over the course of our 10-12 week internship experience you will have the opportunity to: PySpark and SQL development Synthesizing datasets across systems Data wrangling and cleansing Data quality checks ETL pipeline orchestration This position is expected to be 100% onsite. The selected candidate will be required to work onsite at one of the listed location options. These positions must meet U.S. export control compliance requirements. To meet U.S. export control compliance requirements, a “U.S. Person” as defined by 22 C.F.R. §120.62 is required. “U.S. Person” includes U.S. Citizen, U.S. National, lawful permanent resident, refugee, or asylee. Additionally, some positions may require the ability to obtain U.S. Security Clearance for which the U.S. Government requires U.S. Citizenship.

Requirements

  • Ability to work full-time for 10-12 weeks during Summer 2026
  • Studying computer science, mathematics, statistics, operations research, industrial engineering, information systems, business analytics, or similar
  • Experience in Python or SQL
  • Experience with cloud computing including Azure, GCP or AWS, preferred
  • Enrolled student attending a college or university with an expected graduation date on or after August 2026
  • These positions must meet U.S. export control compliance requirements. To meet U.S. export control compliance requirements, a “U.S. Person” as defined by 22 C.F.R. §120.62 is required. “U.S. Person” includes U.S. Citizen, U.S. National, lawful permanent resident, refugee, or asylee.
  • Applicants MUST be U.S. citizens and eligible for a security clearance.
  • Additionally, applicants must be willing to apply for and maintain a security clearance.

Nice To Haves

  • Strong academic performance (preferred GPA of 3.0 or above)
  • Exceptional organizational and collaboration skills as demonstrated through leadership positions on teams and/or in student or civic organizations
  • Strong technical experiences as demonstrated through technical projects, research or engineering internships
  • Exceptional communication skills and interest and enthusiasm related to engineering, aerospace and a career with Boeing
  • Junior or Senior class standing
  • Successful candidates for this job must satisfy the Company’s Conflict of Interest (COI) assessment process.

Responsibilities

  • PySpark and SQL development
  • Synthesizing datasets across systems
  • Data wrangling and cleansing
  • Data quality checks
  • ETL pipeline orchestration

Benefits

  • At Millennium Space Systems, a Boeing Company, we strive to deliver a Total Rewards package that will attract, engage and retain the top talent.
  • Elements of the Total Rewards package include competitive base pay and variable compensation opportunities.
  • Millennium Space Systems also provides eligible employees with an opportunity to enroll in a variety of benefit programs, generally including health insurance, flexible spending accounts, health savings accounts, retirement savings plans, life and disability insurance programs, and a number of programs that provide for both paid and unpaid time away from work.
  • The specific programs and options available to any given employee may vary depending on eligibility factors such as geographic location, date of hire, and the applicability of collective bargaining agreements.
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