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Capella SpaceCS

Data Analytics Engineer

Capella Space is an American aerospace company that provides advanced synthetic aperture radar satellite solutions for earth observation, enabling high-resolution image capture in all weather conditions.

Capella Space

Employee count: 201-500

Salary: 87k-115k USD

United States only

About Capella Space

Capella Space is a pioneer in Synthetic Aperture Radar (SAR) satellite technology and space-based signal intelligence. We empower government, commercial, and research organizations around the world with high-resolution, timely Earth insights that drive better decisions - across defense and intelligence, disaster response, infrastructure monitoring, environmental protection, energy, and more.

As a U.S.-based company, Capella designs, builds, and operates an advanced constellation of commercial SAR satellites in orbit today. Our satellites are backed by a fully automated tasking, collection, and delivery platform, delivering fast, reliable insights when and where our customers need them most. As a subsidiary of IonQ, a global leader in quantum computing, Capella is charting the future of Earth observation. Together, we’re on a mission to bring quantum computing to space - unlocking ultra-secure, encrypted uplink and downlink capabilities, reducing latency, and enabling powerful on-orbit analytics. This visionary integration of advanced remote sensing and quantum technology will support customers with the highest level of data fidelity, security, and speed.

Capella was named one of Fast Company’s 10 Most Innovative Companies in Space in 2023 and is a trusted partner of the U.S. Space Force, U.S. Air Force, U.S. Navy, NASA, the National Reconnaissance Office, and allied government agencies worldwide. Built In recognized IonQ on three of its 2025 Best Places to Work lists.

What Makes Capella Unique?

At Capella, we don’t just imagine what’s possible - we build it. We’re a mission-driven team fueled by curiosity, grit, and a shared commitment to redefining the limits of space innovation. Our environment is fast paced, rooted in humble collaboration. Every team member plays a critical role in shaping the future of our technology and our industry. If you're ready to roll up your sleeves and help solve problems that others call impossible—we're the place for you. We believe great ideas can come from anywhere, and we thrive on diverse perspectives that help us move faster, think deeper, and push the boundaries of innovation. Whether you're new to the space industry or a seasoned expert, you'll find a team that values creativity, integrity, and bold thinking. Join us as we build the future of SAR—and take quantum to space.

About the Role

Join our maturing DataOps team as a Data Analytics Engineer, where you will be at the heart of building our next-generation data analytics infrastructure. In this role, you will design, build, and optimize the scalable and reliable data pipelines that help our entire organization. You will be responsible for ingesting data from a variety of sources using modern techniques and tools. Your primary mission is to provide a clean, reliable, and timely data foundation within our data warehouse for your fellow engineers and business stakeholders to build upon. If you are passionate about building robust and scalable data systems from the ground up and want to make a significant impact on a data-driven team, this is the role for you.

Role Responsibilities

  • Data Pipeline Development Ingestion: Design, build, and maintain efficient and resilient data pipelines to extract and load data into data warehouse from third-party APIs, databases (leveraging CDC), and various internal systems.
  • Data Modeling Transformation: Collaborate with teammates to implement and support dbt data models, ensuring raw data is effectively transformed for analytical use.
  • Pipeline Orchestration Monitoring: Assist in the orchestration, scheduling, and monitoring of data pipelines to ensure high availability, reliability, and timeliness of data.
  • Data Quality Testing: Implement data quality checks, validation rules, and test frameworks within the pipelines to ensure the accuracy and integrity of the data.
  • Collaboration Support: Act as the primary data provider for the DataOps team, ensuring clean, structured data needed for advanced modeling, analytics, and data application development.
  • Documentation: Create and maintain comprehensive documentation for data pipelines, sources, and processes to support transparency and knowledge sharing.

Qualifications

Experience Skills:

  • 3+ years of hands-on experience in a Data Engineering role.
  • A desire to build scalable, robust, and interesting platforms.
  • Enjoys learning new technologies and approaches to problem-solving.
  • Strong analytical and problem-solving skills, with a focus on building efficient systems.
  • Detail-oriented with a passion for data quality, accuracy, and reliability.
  • Excellent communication and cross-team collaboration skills.

Core Technical Skills Required:

  • Strong proficiency in Python for data engineering tasks (e.g., scripting, data manipulation, API integration).
  • Strong proficiency in SQL for complex querying and data modeling.
  • Proven experience building and maintaining data pipelines, especially from sources like third-party APIs and databases using Change Data Capture (CDC).
  • Hands-on experience with a cloud data warehouse (Snowflake strongly preferred).
  • Experience with data transformation tools, preferably DBT.
  • Experience with CI/CD tools (e.g., GitLab CI).

Preferred:

  • Familiarity with creating data apps or dashboards
  • Broad experience with a major cloud platform (AWS, Azure, or Google Cloud).
  • Experience with Dimensional Data Warehouse models

Compensation

The annual salary range for this role as it is posted is $86,900.00 - $115,142.50. The final job level and annual salary will be determined based on the education, qualification, knowledge, skills, ability, and experience of the final candidate(s), specific office location and calibrated against relevant market data and internal team equity. Benefits listed in this posting may vary depending on the nature of your employment with Capella Space.

Benefits/Perks

In addition to an opportunity to take part in an innovative, collaborative and fast-growing business with a highly motivated and skilled team, we also take pride in taking care of our employees. Here are just a few ways that we show our appreciation:

  • We provide extensive medical coverage, including strong vision and dental plans, flexible spending accounts, and additional supplemental health options.
  • 401K Plan to invest in your long-term retirement goals
  • Generous Parental Leave
  • Paid Flexible Time Off Policy
  • Lifestyle Spending Account
  • Commuter Parking Benefits
  • Mental Health Resources
  • Monthly Phone Stipend
  • Furry friends? We’ve got you covered with dog-friendly work environment them with pet insurance options

Equal Opportunity Statement

Capella Space is an equal opportunity employer, committed to creating a diverse and inclusive workplace, and upholding equitable hiring practices.

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or any other characteristic under federal, state, or local law, including those with a criminal history, in a manner consistent with the requirements of applicable state and local laws, including the CA Fair Chance Initiative for Hiring Ordinance. We actively encourage members of recognized minorities, women, Veterans, and those with disabilities to apply, and we work to create a welcoming and supportive environment for all applicants throughout the interview process. If you need assistance or require an accommodation during the job application process, please notify recruiting@capellaspace.com

To learn more about us, explore our site: https://www.capellaspace.com/and follow us on X and LinkedInto see our SAR imagery!

About the job

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Job type

Full Time

Experience level

Mid-level

Salary

Salary: 87k-115k USD

Location requirements

Hiring timezones

United States +/- 0 hours

About Capella Space

Learn more about Capella Space and their company culture.

View company profile

Capella Space is an American aerospace company founded in 2016 by Payam Banazadeh, a former NASA engineer, and Will Woods. The company specializes in providing satellite solutions that leverage advanced Synthetic Aperture Radar (SAR) technology for earth observation. With its innovative satellite constellation, Capella delivers high-resolution imagery under any weather conditions, including through clouds and at night. This capability enables a variety of applications in sectors such as environmental monitoring, defense, and commercial industries.

Capella's operational model integrates state-of-the-art manufacturing processes that allow for rapid scalability in response to client needs. The company is committed to turning complex radar data into actionable intelligence through exceptional data quality and customer support, enabling clients to make informed decisions swiftly. In addition to standard imagery, Capella offers unique solutions tailored for industries ranging from insurance to maritime safety, allowing for real-time monitoring and analytics. With headquarters in San Francisco and additional facilities in Colorado, Capella is a pivotal player in advancing global understanding of our planet, presenting insights that empower users with the clarity they need for crucial decision-making.

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Capella Space hiring Data Analytics Engineer • Remote (Work from Home) | Himalayas