Hiring: Senior Software Engineer, Data Infrastructure Company: Docker, Inc Location: Seattle, WA Job Posted Time: 2026-09-17 03:36:49 Employment Type: Full-time / Remote Target Skills & Keywords : AWS, Airflow, Azure, CI/CD, Data Pipeline, Docker, EMR, Embedded Systems, Event-Driven, GCP, GDPR, Kinesis, Kubernetes, Lambda, MLOps, Machine Learning, Python, Redshift, Regulatory Compliance, S3, SQL, Snowflake, Systems Design, dbt About the job Experience: •6+ years of software engineering experience, with 3+ years focused on data engineering Required Skills: •Technical Strategy & Architecture Leadership •Architect and implement key components of Docker's data platform, driving technical direction for the team •Design and build scalable data infrastructure leveraging Snowflake, AWS, Airflow, DBT, and Sigma •Build end-to-end data pipelines supporting real-time and batch analytics across the product ecosystem •Evaluate and select data platform technologies, architectural patterns, and engineering best practices •Hands-On Engineering & System Development •Build high-throughput data systems supporting high-volume user interactions •Develop data transformations and models using DBT for analytics and business intelligence Qualifications: •Bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent practical experience •Strong experience with Snowflake, including SQL tuning, performance optimization, and cost management •Proficiency with DBT for data modeling, transformation, and testing at production scale •Production experience with AWS data services (S3, Redshift, EMR, Glue, Lambda, Kinesis) •Proficiency in Python and SQL for data engineering applications •System Design & Architecture •Track record of designing and building large-scale distributed data systems •Solid understanding of data warehousing, dimensional modeling, and analytics architectures •Understanding of data governance, security standards, and privacy frameworks (e.g., GDPR, CCPA) •Proven track record optimizing performance and cost for cloud data infrastructure Compensation: •Flexible work environment (work from home / hybrid options) •Competitive benefits and rewards package •Time to recharge – Generous PTO, designated quarterly Whaleness Days, and a designated end-of-year Whaleness break Interested candidates, please apply directly through the job posting on company's career page or try via AI auto apply on this platform. Don't miss this opportunity to join a forward-thinking team!