26 days ago
Base Salary
$143k - $179k/yr
Responsibilities
- Architect and oversee robust, high-availability data pipelines and establish standards for maintaining, troubleshooting, and optimizing data ecosystems.
- Collaborate with product, commercial, and engineering leaders to define and execute long-term data strategies for products in scope.
- Drive technical mentorship, design reviews, code-quality standards, and architectural integrity across the Data Team.
- Build and design end-to-end data solutions, including architecture, implementation, CI/CD, orchestration, automated QA, and production integration.
- Support global monitoring products used for persistent, high-cadence monitoring and intelligence.
- Translate complex technical requirements into scalable, customer-facing data solutions.
Requirements
- 6–8 years of relevant data engineering experience with a track record of technical leadership.
- Bachelor’s degree in a relevant field.
- Expertise designing and implementing end-to-end data architectures for global-scale, customer-facing solutions.
- Expert-level Python and SQL proficiency for complex ETL/ELT pipeline construction, including event-driven architectures.
- Significant experience maintaining enterprise-grade, peer-reviewed codebases and advanced CI/CD workflows using GitLab CI, Docker, and Kubernetes.
- Significant experience with cloud-native architectures, with GCP preferred.
- Experience tuning storage formats such as Parquet for sub-second query performance.
- Experience with modern data tooling such as dbt for pipeline inputs to customer-facing production systems.
- Experience using Infrastructure as Code tooling such as Terraform to manage cloud architecture.
- Experience architecting solutions for geospatial datasets is preferred.
- Knowledge of earth observation and/or satellite operation concepts is preferred.
- Strong problem-solving, communication, and stakeholder-translation skills.
Benefits
- Comprehensive medical, dental, and vision plans.
- Health Savings Account with a company contribution.
- Generous paid time off, 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 and commuter benefits for employees local to an office.
- Volunteering paid time off.
- Full-time hybrid role requiring work from the Arlington, VA office three days per week.
- Employment is contingent on the ability to access applicable export-controlled information without additional export licensing.
Tech Stack
Categories
Data Engineering