Senior Software Engineer, Data Infrastructure

🔥 14 hours ago

☕ Washington – Remote

☕ Washington – Remote

💵 $160.9k - $260.7k / year

⏰ Full Time

🟠 Senior

🚰 Data Engineer

👻 Ghost score 1%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Docker, Inc

WebsiteLinkedInAll Job Openings

51 - 200 employees

💼 Consulting

☁️ SaaS

💰 $105M Series C on 2022-03

Consulting • SaaS

Docker, Inc is a company that simplifies the lives of developers by tackling the complexity of app development. They offer tools that allow developers to bring their ideas to life through containerization and orchestration, making the development process easier and more efficient. Docker's products, including Docker Desktop and Docker Hub, are widely adopted by millions of developers worldwide, enhancing workflows and providing an integrated development pipeline.

📋 Description

• Architect and implement key components of Docker’s data platform and drive technical direction • Design and build scalable data infrastructure using Snowflake, AWS, Airflow, DBT, and Sigma • Build end-to-end data pipelines for real-time and batch analytics across Docker’s product ecosystem • Evaluate data platform technologies, architectural patterns, and engineering best practices • Establish standards for data quality, testing, monitoring, and operational excellence • Build high-throughput data systems supporting high-volume user interactions • Develop DBT data transformations and models for analytics and business intelligence • Develop and maintain Apache Airflow orchestration workflows • Optimize Snowflake performance and cost efficiency • Build data APIs and services for self-service analytics and downstream integrations • Translate business and product analytics requirements into technical solutions • Collaborate with Data Scientists and Analysts on analytics, ML, and BI capabilities • Deliver accurate reporting and operational dashboards with Finance, Sales, and Marketing • Support customer-facing analytics and embedded reporting • Partner with Security and Compliance on data governance and regulatory compliance • Ensure reliability, monitoring, alerting, and incident response for owned components • Implement data quality checks and automated pipeline and transformation testing • Establish disaster recovery and business continuity procedures • Troubleshoot and resolve complex issues affecting data availability and accuracy • Mentor engineers on system design, technical execution, and data engineering practices • Conduct technical design reviews and provide architecture feedback • Share knowledge through documentation, tech talks, and cross-team collaboration • Participate in hiring and technical assessments for data engineering roles

🎯 Requirements

• 6+ years of software engineering experience, with 3+ years focused on data engineering • 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 • Experience orchestrating workflows and pipelines with Apache Airflow • Experience using Sigma or similar modern BI platforms for self-service analytics • Production experience with AWS data services (S3, Redshift, EMR, Glue, Lambda, Kinesis) • Proficiency in Python and SQL for data engineering applications • Experience with Infrastructure-as-Code, CI/CD pipelines, and modern DevOps practices • Track record of designing and building large-scale distributed data systems • Solid understanding of data warehousing, dimensional modeling, and analytics architectures • Experience with stream processing, event-driven architectures, and real-time data systems • Understanding of data governance, security standards, and privacy frameworks (e.g., GDPR, CCPA) • Proven track record optimizing performance and cost for cloud data infrastructure • Ability to guide technical choices through sound engineering judgment • Experience mentoring engineers and leading technical projects without direct management authority • Clear written and verbal communication skills, tailored to technical and non-technical stakeholders • Proven ability to collaborate effectively with Product, Business, and Engineering partners • Visa sponsorship considered case-by-case based on business needs • Preferred: experience at high-growth technology companies, particularly in developer tools or infrastructure software • Preferred: background with container technologies, Kubernetes, or cloud-native development • Preferred: knowledge of machine learning platforms and MLOps practices • Preferred: experience with GCP or Azure and multi-cloud data strategies • Preferred: familiarity with data catalog tools, metadata management, and data lineage systems • Preferred: advanced degree in Computer Science, Data Engineering, or a related technical field • Preferred: experience with customer-facing analytics and embedded reporting solutions • Preferred: knowledge of financial data systems and revenue analytics

🏖️ Benefits

• Remote-first by design; work from home, with offices in Seattle and Paris for connection and collaboration • Flexible schedule • Generous PTO • Designated quarterly Whaleness Days • Designated end-of-year Whaleness break • Home office support • Technology stipend equivalent to US$100 net per month • Annual learning and development stipend for conferences, courses, certifications, and continued learning • 16 weeks of paid parental leave after six months of employment • Equity for all full-time employees • Medical benefits • Retirement benefits • Paid holidays • Docker swag