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# Data Engineer

- **Company:** K2 Space
- **Location:** Los Angeles, CA, United States
- **Salary:** $120,000 - $160,000
- **Contract:** Permanent contract
- **Skills:** Amazon Web Services, Databases, Continuous Integration, Data Validation, Extract Transform Load (ETL), Data Migration, Data Normalization, Serialization, Data Systems, Data Warehousing, Database Development, Shard (Database Architecture), Distributed Data Store, PostgreSQL, Microsoft SQL Server, Software Engineering, System Availability, Snowflake, Caching, Amazon Relational Database Service, Kubernetes, Information Technology, Data Analytics, Real Time Data, Restful APIs, Data Pipelines, AWS EKS, Docker, Amazon Redshift
- **Published:** November 11, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=814e53188f0330d9

## About the Role

* Bachelor's degree in computer science, information technology, mathematics or a STEM discipline or 5+ years of professional experience in software engineering.
 * 2+ years of working experience with structure databases such as MS SQL, PostgreSQL, Snowflake.
 * 2+ years of in-depth experience with hosted database solutions such as AWS RDS, AWS PostgreSQL.
 * 1+ years of working experience with CI/CD deployment.
 * Working experience with Docker.
 * Working experience with Kubernetes (prefer AWS EKS).
 * Working experience with REST API.

Nice to Have

 * Experience with distributed data designs such as caching, sharding, data validation.
 * Experience with public cloud data warehouse solution.
 * Experience with data designs for physical product manufacturing.
 * Working experience with data analytic such as AWS Redshift.
 * Working experience with data migration process, including data normalization, schema mapping, data serialization, data pipeline, ETL, real-time or near real-time data replication, data mirroring.

## Description

* Support highly reliable data solutions used across K2 Space - from factory floors to mission control.
 * Maintain data design that improve how we design, build, and operate our spacecraft.
 * Partner closely with engineers, business partners, and leaders across disciplines to understand their challenges and design efficient solutions.
 * Maintain data solution to ensure high availability and correctness.
 * Use data to drive prioritization of work and design of solutions to create the largest positive impact.
 * Actively contribute to building a culture of transparency, empathy, integrity, and engineering excellence.
 * Actively learning from staff members and help team members build good culture and engineering practices.