Senior Data Engineer, GMS Data Team

Description

The company designs, builds and runs the largest fleet of imaging satellites ever flown, and sells the data through a cloud platform to clients in commercial, environmental and humanitarian work. It is both a space company and a data company, and it builds the hardware, processing and software in-house.

Customers use the data to build new technologies, grow revenue, support research and tackle large global problems.

The team sits in the Software Engineering organization and includes data scientists, engineers and analysts working across company domains. The company works with people in many countries and has offices in San Francisco, Washington DC, Germany, Austria, Slovenia and The Netherlands.

This senior role focuses on the architecture and growth of data systems behind the global monitoring products, which give Defense and Intelligence customers ongoing, high-frequency monitoring and active intelligence. You will work with Product and Engineering leaders to get the right data to these customers for security and fast decisions. The role suits an experienced data engineer who wants to lead complex systems and work on defense technology. You should be self-directed, comfortable in a fast, global setting, and care about the company's national security work.

Responsibilities

• Design and own high-availability data pipelines, and set the standards for maintaining, troubleshooting and improving existing systems.
• Work with global product, commercial and engineering leads and peers to plan and deliver a long-term data strategy for the products in your scope.
• Mentor others, lead technical design reviews, protect architectural consistency across the Data Team, and set code quality standards.
• Design and build end-to-end data solutions, from high-level architecture through implementation, CI/CD, orchestration, automated QA and integration into production.
• Build production, enterprise-scale data platforms on modern cloud technology that power customer-facing products.

Requirements

• 6-8 years of relevant data engineering experience, including technical leadership.
• A bachelor's degree in a relevant field.
• Experience designing and building end-to-end data architectures for global, customer-facing products, with strong attention to data integrity and efficiency.
• Expert Python and SQL skills for building complex ETL/ELT pipelines, including event-driven architectures.
• Experience maintaining enterprise-grade, peer-reviewed codebases and advanced CI/CD workflows with GitLab CI, Docker and Kubernetes.
• Significant experience with cloud-native architectures, GCP preferred.
• Experience tuning storage formats such as Parquet for sub-second query performance for consumers.
• Strong communication skills, able to translate between technical work and high-level business needs.
• Proactive, self-starting, and able to lead problem-solving in a fast, high-stakes setting.
• Nice to have: experience using modern data tooling such as dbt for inputs to customer-facing production systems.
• Nice to have: experience using Infrastructure as Code tools such as Terraform to manage cloud architecture.
• Nice to have: experience architecting solutions for geospatial datasets.
• Nice to have: knowledge of earth observation and/or satellite operations.

Conditions

Full-time hybrid role, working from the Arlington, VA office 3 days per week.

This role requires access to export-controlled information. Employment or contracting depends on your ability to access all applicable export-controlled information without additional export licensing from the Bureau of Industry and Security and/or the Directorate of Defense Trade Controls.

US base salary range is $142,800 - $178,500 USD at the start of employment. The final figure depends on job-related experience, skills and location. A recruiter can give the range for your preferred location. The role may also be eligible for discretionary short-term and long-term incentives, including bonus and equity.

The company will consider qualified applicants with arrest and conviction records, in line with the San Francisco Fair Chance Ordinance.

Applications are reviewed on a rolling basis and the posting may close early. The deadline is 11:45 PM PT (23:45 PT) on the date listed, and applying early is recommended.

Benefits

• Medical, dental and vision plans.
• Health Savings Account with a company contribution.
• Generous paid time off, plus holidays and company-wide days off.
• 16 weeks of paid parental leave.
• Wellness program and Employee Assistance Program.
• Home office reimbursement.
• Monthly phone and internet reimbursement.
• Tuition reimbursement and access to LinkedIn Learning.
• Equity.
• Commuter benefits for those near an office.
• Paid time off for volunteering.
• Benefits vary by employment type and location, according to applicable law or company policy.