Data Engineer I

Posted 7 Hours Ago
2 Locations
In-Office
80K-115K Annually
Junior
Aerospace • Artificial Intelligence • Hardware • Machine Learning • Software • Defense • Manufacturing
Delivering decisive capabilities for space superiority.
The Role
Build and maintain data pipelines, ingestion workflows, transformations, and data products using Python, SQL, and cloud data platforms. Test and troubleshoot systems while applying Git, software testing, and CI/CD practices. Collaborate with senior engineers and cross-functional stakeholders, use AI-assisted tools, and deliver reliable data solutions in a fast-paced startup environment.
Summary Generated by Built In

Space is a warfighting domain. True Anomaly seeks those with the talent and ambition to build the technology that secures it.

OUR MISSION

True Anomaly delivers decisive capabilities for space superiority. We build autonomous spacecraft, advanced payloads, mission software, and space-based interceptors — enabling the U.S. and its Allies to secure the space environment and counter threats from the ultimate high ground.

OUR VALUES

  • Be the offset. We create asymmetric advantages with creativity and ingenuity.
  • What would it take? We challenge assumptions to deliver ambitious results.
  • It’s the people. Our team is our competitive advantage and we are better together.

YOUR MISSION

We are looking for a Data Engineer I who is an exceptional early-career engineer with strong Python and SQL skills and a passion for solving complex challenging technical problems and dealing with a certain amount of ambiguity.  This is an opportunity for a talented graduate to build real-world data systems and grow quickly in a fast-paced high-performance startup environment.

RESPONSIBILITIES

  • Build and maintain data pipelines and data products and solutions using Python, SQL and modern cloud data platforms and technologies
  • Develop, test and troubleshoot data ingestion, transformations and workflows
  • Apply software engineering practices including Git, testing, and CI/CD
  • Leverage AI-assisted engineering tools to improve development and testing productivity
  • Collaborate with experienced engineers, take ownership, adapt and learn quickly and deliver solutions that directly support our data and other stakeholders

QUALIFICATIONS

  • 0-2 years of experience in data engineering, software engineering
  • Bachelor's or Master's degree in computer science, Data Science or a related technical field
  • Excellent Python programming skills and a reasonable knowledge of SQL
  • Strong software engineering and problem-solving skills and one who is curious, takes the initiative and a quick learner
  • Willing to embrace the pace, ambiguity and challenges of a startup environment

PREFERRED QUALIFICATIONS

  • Has completed one or more internships, research or created projects in software or data engineering 
  • Exposure or a decent understanding of Cloud Data Platforms
  • Exposure/Experience building with Spark, Airflow, dbt, Kafka or similar technologies
  • Experience using AI-enabled development tools and technologies


What we are looking for:

This is a hands-on entry-level data engineering role. The successful candidate should be comfortable writing code, solving difficult technical problems, be willing to challenge the status quo, collaborate with the Principal and Senior Data Engineers as well as the cross functional teams and deliver quality data solutions.

Please note: We are unable to provide visa sponsorship.
COMPENSATION

  • Base Salary: Denver - $80,000 - $110,000, Long Beach - $85,000 - $115,000
  • Equity + Benefits including Health, Dental, Vision, HRA/HSA options, PTO and paid holidays, 401K, Parental Leave 

Your actual level and base salary will be determined on a case-by-case basis and may vary based on the following considerations: job-related knowledge and skills, education, location, and experience. 

ADDITIONAL REQUIREMENTS

  • Work Location— Long Beach, CA, or Denver, CO. While we observe a hybrid work environment, you will need to be onsite as the business needs require. Onsite requirements are subject to change, particularly when work on classified systems is required.  On an average week, you can expect to spend at least 3 days per week in office.  
  • Work environment—the work environment; temperature, noise level, inside or outside, or other factors that will affect the person's working conditions while performing the job.
  • Physical demands—the physical demands of the job, including bending, sitting, lifting and driving.

This position will be open until it is successfully filled. To submit your application, please follow the directions below. #LI-Onsite

To conform to U.S. Government space technology export regulations, including the International Traffic in Arms Regulations (ITAR), you must be a U.S. citizen, lawful permanent resident of the U.S., protected individual as defined by 8 U.S.C. 1324b(a)(3), or eligible to obtain the required authorizations from the U.S. Department of State.




To conform to U.S. Government space technology export regulations, including the International Traffic in Arms Regulations (ITAR) you must be a U.S. citizen, lawful permanent resident of the U.S., protected individual as defined by 8 U.S.C. 1324b(a)(3), or eligible to obtain the required authorizations from the U.S. Department of State.

True Anomaly is committed to equal employment opportunity on any basis protected by applicable state and federal laws. If you have a disability or additional need that requires accommodation, please do not hesitate to let us.


Skills Required

  • 0-2 years of experience in data engineering or software engineering
  • Bachelor's or Master's degree in computer science, data science, or a related technical field
  • Excellent Python programming skills
  • Reasonable knowledge of SQL
  • Strong software engineering and problem-solving skills
  • Curiosity, initiative, and ability to learn quickly
  • Willingness to work in a fast-paced, ambiguous startup environment
  • Ability to satisfy U.S. Government ITAR authorization requirements
  • Preferred exposure to cloud data platforms
  • Preferred experience with Spark, Airflow, dbt, Kafka, or similar technologies
  • Preferred experience using AI-enabled development tools and technologies
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The Company
HQ: Centennial, CO
300 Employees
Year Founded: 2022

What We Do

Space was once the quietest place in the universe. Now, it's crowded, contested, and confrontational.  We are True Anomaly: the only defense company focused exclusively on space defense. Founded in 2022 by ex-U.S. Space Force members, True Anomaly designs and builds advanced systems for space superiority: agile and powerful spacecraft platforms, mission software engineered for unmatched command and control, and payloads tailored for precision sensing and effects.    True Anomaly is headquartered in Centennial, CO, with regional offices in Colorado Springs, CO, Long Beach, CA, and Washington, D.C.  We are hiring and seeking exceptional talent to join True Anomaly, from any technical industry or background, to bring unique talents, perspective, and solutions. If you embrace complexity, lead instead of follow, showcase integrity over ego, take ownership for outcomes, and measure success by impact, we want to hear from you.

Why Work With Us

True Anomaly exists to enable a secure, stable, and sustainable space environment for the US, its allies, and partners. We design and build spacecraft and software solutions for space superiority. If you are ready to contribute to the future of space defense, we’d love to hear from you.

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True Anomaly Offices

Hybrid Workspace

Employees engage in a combination of remote and on-site work.

We are a hybrid office culture. Our employees work from offices in Denver, Colorado Springs, Los Angeles, and Washington D.C. We recognize the importance of in-office collaboration, but also the value of a flexible work and location requirements

Typical time on-site: Not Specified
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Mission Operations
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Government Affairs and Sales
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