Staff Software Engineer, Data Engineering

September 24

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Docker, Inc

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At Docker, we simplify the lives of developers who are making world-changing apps. Docker helps developers bring their ideas to reality by conquering the complexity of app development. We simplify and accelerate workflows with an integrated development pipeline and application components. Actively used by millions of developers around the world, Docker Desktop and Docker Hub provide unmatched simplicity, agility and choice.

51 - 200 employees

💰 $105M Series C on 2022-03

📋 Description

• Define and drive the technical strategy for Docker's data platform architecture • Lead design and implementation of highly scalable data infrastructure leveraging Snowflake, AWS, Airflow, DBT, and Sigma • Architect end-to-end data pipelines supporting real-time and batch analytics across Docker's product ecosystem • Drive technical decision-making around data platform technologies, architectural patterns, and engineering best practices • Establish technical standards for data quality, testing, monitoring, and operational excellence • Design and build robust, scalable data systems that process petabytes of data and support millions of user interactions • Implement complex data transformations and modeling using DBT for analytics and business intelligence use cases • Develop and maintain sophisticated data orchestration workflows using Apache Airflow • Optimize Snowflake performance and cost efficiency while ensuring reliability and scalability • Build data APIs and services that enable self-service analytics and integration with downstream systems • Partner with Product, Engineering, and Business teams to understand analytics requirements and translate them into technical solutions • Collaborate with Data Scientists and Analysts to enable advanced analytics, machine learning, and business intelligence capabilities • Work with Finance, Sales, and Marketing teams to deliver accurate reporting and operational dashboards • Support customer-facing analytics initiatives and embedded reporting capabilities • Engage with Security and Compliance teams to ensure data governance and regulatory requirements are met • Own operational excellence for critical data systems including monitoring, alerting, and incident response • Implement comprehensive data quality frameworks and automated testing for data pipelines and transformations • Drive performance optimization and cost management initiatives across the data platform • Establish disaster recovery and business continuity procedures for business-critical data systems • Lead troubleshooting and resolution of complex technical issues affecting data availability and accuracy • Mentor junior and mid-level engineers on technical skills, system design, and data engineering best practices • Conduct technical design reviews and provide guidance on architectural decisions • Drive knowledge sharing initiatives including documentation, tech talks, and cross-team collaboration • Contribute to hiring and technical assessment processes for data engineering roles

🎯 Requirements

• 6+ years of software engineering experience with 3+ years focused on data engineering and analytics systems • Expert-level experience with Snowflake including advanced SQL, performance optimization, and cost management • Deep proficiency in DBT for data modeling, transformation, and testing with experience in large-scale implementations • Strong expertise with Apache Airflow for complex workflow orchestration and pipeline management • Hands-on experience with Sigma or similar modern BI platforms for self-service analytics • Extensive AWS experience including data services (S3, Redshift, EMR, Glue, Lambda, Kinesis) and infrastructure management • Proficiency in Python, SQL, and other programming languages commonly used in data engineering • Experience with infrastructure-as-code, CI/CD practices, and modern DevOps tools • Proven track record designing and implementing large-scale distributed data systems • Deep understanding of data warehousing concepts, dimensional modeling, and analytics architectures • Experience with stream processing, event-driven architectures, and real-time data systems • Knowledge of data governance, security frameworks, and compliance requirements (GDPR, CCPA) • Strong background in performance optimization and cost management for cloud data platforms • Demonstrated ability to drive technical strategy and influence engineering decisions across teams • Experience mentoring engineers and leading technical initiatives without direct management authority • Excellent communication skills with ability to explain complex technical concepts to diverse audiences • Track record of successful cross-functional collaboration with Product, Business, and Executive stakeholders • Experience establishing technical standards and driving adoption across engineering organizations • 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 additional cloud platforms (GCP, Azure) and multi-cloud data strategies (preferred) • Familiarity with modern data catalog tools, metadata management, and data lineage systems (preferred) • Advanced degree in Computer Science, Data Engineering, or related technical field (preferred) • Experience with customer-facing analytics and embedded reporting solutions (preferred) • Knowledge of financial data systems and revenue analytics (preferred) • Ability to work without visa sponsorship; legal authorization to work in the country of application

🏖️ Benefits

• Freedom & flexibility; fit your work around your life • Designated quarterly Whaleness Days • Home office setup; we want you comfortable while you work • 16 weeks of paid Parental leave • Technology stipend equivalent to $100 net/month • PTO plan that encourages you to take time to do the things you enjoy • Quarterly, company-wide hackathons • Training stipend for conferences, courses and classes • Equity; we are a growing start-up and want all employees to have a share in the success of the company • Docker Swag • Medical benefits, retirement and holidays vary by country