Senior Data Platform Engineer

Umbra

Reston (VA)

On-site

USD 150,000 - 190,000

Full time

4 days ago
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Benefits offered by this job

Flexible Time Off
Medical, Dental, Vision, Life, LTD,STD
Stock Options
401k with company contribution
Free parking
Free lunch in office daily

Job summary

Umbra is hiring a Senior/Staff Data Platform Engineer to lead data infrastructure for autonomous satellite operations and analytics. You will design and maintain scalable data pipelines, models, and lakehouse architectures, leveraging Databricks, dbt, and cloud services.

You will collaborate with product owners and engineers to ensure data quality, governance, and reliable decision support, contributing to space tech leadership from Reston/Arlington/Santa Barbara offices.

Qualifications

  • Bachelor's degree in CS/Data Science or related field.
  • 8+ years of experience as a data engineer or similar.
  • Strong SQL skills and data warehousing/lakehouse concepts.
  • Python and SQL with version control and CI/CD practice.
  • Experience with Omni Analytics, Tableau or Power BI.
  • Experience with Databricks, Hadoop/Spark, or similar.
  • dbt or equivalent data transformation framework experience.
  • Cloud platforms (AWS/GCP/Azure) for storage/processing.
  • Familiarity with monitoring/observability tools.
  • Strong communication and team collaboration.

Responsibilities

  • Design, build, and maintain scalable data pipelines and infrastruc ture for satellite and operations data.
  • Develop data models, warehouses, lakehouse patterns, and dbt transformations.
  • Build analytics platform capabilities using Databricks and cloud services.
  • Collaborate with cross-functional teams to define data requirements and ensure quality.
  • Establish data governance, reliability, security, and cost observability.

Skills

SQL
Data warehousing
Lakehouse
Python
CI/CD
Databricks
Hadoop/Spark
dbt
Cloud platforms
Observability tools
Communication

Education

Bachelor's degree in computer science, data science, or related field

Tools

Omni Analytics
Tableau
Power BI
Databricks
Hadoop ecosystem
dbt

Job description

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.

About the Team

Remote Sensing - The Data 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.

About the Job

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.

Key Responsibilities
  • 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
Required Qualifications
  • Bachelor's degree in computer science, data science, or a related field.
  • 8+ years of professional experience as a data engineer or in 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.
Desired Qualifications
  • 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.
Benefits
  • 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
Equal Opportunity Employer

Umbra is an Equal Opportunity Employer. We do not discriminate in hiring on the basis of sex, gender identity, sexual orientation, race, color, religious creed, national origin, physical or mental disability, protected veteran status, or any other characteristic protected by federal, state, or local law.

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