Machine Learning Data Associate Jobs in Goleta, CA

Umbra is an American space technology company delivering advanced systems, from sensors to spacecraft, that empower customers worldwide with unmatched access to critical information from space. Our mission is simple and ambitious: redefine space—for people, systems, and missions in every domain. Umbra’s ecosystem operates through three business units: Remote Sensing (the data), Space Systems (the components), and Mission Solutions (the platforms).Together, our teams develop capabilities that deliver persistent access, resilient performance, and mission-ready solutions, advancing U.S. space leadership while keeping the world safe and informed.

Remote Sensing is where Umbra got its start, and our agile Synthetic Aperture Radar (SAR) constellation remains the most capable on the market. We transform satellite data into real-world, actionable insights that strengthen U.S. national security and intelligence, support disaster response, and advance scientific discovery. Our team delivers data at scale with unmatched quality, persistence, and the speed and responsiveness our partners demand.

If you want to work on cutting-edge space technology that’s redefining what’s possible in remote sensing, you belong here at Umbra.

We are seeking a Senior/Staff Data Platform Engineer to lead our data infrastructure architecture. The individual filling this position will collaborate with product owners and multidisciplinary engineering teams to design, develop, and maintain the data systems that support our autonomous satellite operations, analytics, and internal decision-making. They will play a key role in Umbra's efforts toward redefining how space radar data is consumed.

This position is based on-site in either our Santa Barbara/Goleta, CA office, Arlington, VA office, or Reston, VA office (coming soon).

• Design, build, and maintain scalable data pipelines and infrastructure to process, model, and analyze large volumes of satellite, operations, and business data
• Develop and optimize data models, data warehouses, lakehouse patterns, and dbt transformations to support internal analytics, machine learning applications, and operational decision-making
• Build and operate analytics and data platform capabilities using tools such as Databricks, dbt, Omni Analytics, and related cloud services
• Collaborate with cross-functional teams to understand data requirements and ensure data quality, reliability, performance, and usability
• Implement best practices for data governance, reliability, security, compliance, lineage, cost management, and observability

• Bachelor of Science in Computer Science, Data Science, or equivalent experience.
• 15+ years of professional experience as a Data Engineer or similar roles.
• Strong proficiency in SQL and experience with data warehousing, lakehouse architecture, and analytics engineering concepts.
• Proficiency in data pipeline development using Python and SQL, utilizing version control and CI/CD best practices.
• Proficiency with analytics and visualization tools such as Omni Analytics, Tableau, Power BI, or similar.
• Experience with Databricks, Apache Hadoop Ecosystem (HDFS, Spark, HBase, etc), or similar large-scale data processing and lakehouse platforms.
• Experience with dbt or similar data transformation and modeling frameworks.
• Experience with cloud platforms such as AWS, GCP, or Azure for building reliable data storage and processing.
• Familiarity with monitoring and observability solutions such as Datadog, Grafana, Prometheus, New Relic, Splunk, or similar.
• Effective communication skills, ability to work collaboratively in a team environment, and willingness to learn new skills and technology.

• Experience working in the aerospace industry.
• Experience with mission scheduling software and/or schedule optimization.
• Experience developing SAR image processing/formation applications.
• Experience with Infrastructure-as-Code, DevOps, Identity and Access Management, and Developer Platforms.
• Experience building custom GIS applications, STAC, or other imagery catalog APIs.
• Experience with semantic layers, data catalogs, lineage, or data quality tooling.
• Current security clearance or willingness and ability to acquire one.

• Flexible Time Off, Sick, Family & Medical Leave
• Medical, Dental, Vision, Life, LTD, STD (employer funded)
• Vol Life, Critical Illness, Accidental, Hospital Indemnity, Pet Insurance (employee funded)
• 401k with 3% non-elective company contribution
• Stock Options
• Free parking
• Free lunch in office daily

In compliance with federal laws, all hired persons will be required to verify their identity and eligibility to work in the United States by completing the required Employment Eligibility Verification Form (I-9 Form) upon hire.

This position may include access to technology and/or data that is subject to U.S. export controls pursuant to ITAR and EAR. To comply with federal export controls, all persons hired must be a U.S. citizen, U.S. national, U.S. lawful permanent resident, refugee or asylee as defined by 8 U.S.C. § 1324b(a)(3), or must otherwise be eligible to obtain the required authorizations from the U.S. Department of State and/or U.S. Department of Commerce as applicable.

This job posting may cover multiple career levels. To ensure greater transparency, we provide base salary ranges for all roles, regardless of location. Our standard pay ranges are based on the role’s function and level, benchmarked against similar growth-stage companies. Compensation may vary based on geographical location, as certain regions may have different cost-of-living factors. The final offer will also be influenced by the candidate's skills, responsibilities, and relevant experience.

The Compensation Range for this role is $185,000- $220,000 DOE.