Senior Application Data Engineer

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.

Qualifications

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

Compensation and Benefits

Base salary range for this role is $160,000 – $200,000 + equity in the company
Salary will be based on several factors including, but not limited to: knowledge and skills, education, and experience level
Comprehensive benefits package including paid time off, medical/dental/vision/ coverage, life insurance, paid parental leave, and many other perks