Senior Application Data Engineer

K2 Space•Los Angeles, CA

13d•$160,000 - $200,000

About The Position

Our enterprise software team builds the digital backbone that powers K2 Space’s satellite design, manufacturing, and mission operations. We develop tools that connect engineering, production, and mission control into a seamless ecosystem — enabling our hardware to get from concept to orbit faster than ever before. We’re looking for engineers who are curious, collaborative, and driven to deliver mission-critical software that helps turn ambitious space projects into reality.

Requirements

Bachelor's degree in computer science, information technology, mathematics or a STEM discipline or 12+ years of professional experience in software engineering.
Strong working experience with data modeling, including schema design such as entities, relationships, data constraints
Strong 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.
8+ years of in-depth experience with structure databases such as MS SQL, PostgreSQL, Snowflake.
5+ years of in-depth experience with hosted database solutions such as AWS RDS, AWS PostgreSQL.
3+ years of working experience with CI/CD deployment.
Working experience with Docker.
Working experience with Kubernetes (prefer AWS EKS).
3+ years of experience with unstructured database such as NoSQL, Amazon DynamoDB, MongoDB or similar.
Working experience with REST API.

Nice To Haves

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.
Strong working experience with data analytic such as AWS Redshift.

Responsibilities

Develop highly reliable data solutions used across K2 Space — from factory floors to mission control.
Create and evolve 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.
Own data solutions from concept to full fledge product.
Lead data architecture designs, drive data optimization, ensure data integrity and accuracy.
Evaluate and make decisions regarding competing data design tradeoffs.
Advocate, defend and convert other engineering leaders to your own solutions.
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 mentoring other staff members and help team members build good culture and engineering practices.