Director, Data Engineering
Vimeo
AirflowApacheCloudKafkaSparkSQLTerraformUnity
Analytics Engineer
re-tool
full-time
Posted on:
Location Type: Hybrid
Location: San Francisco • California • 🇺🇸 United States
Visit company websiteSalary
💰 $164,600 - $221,700 per year
Job Level
Mid-LevelSenior
Tech Stack
AirflowCloudETLPythonSparkSQLUnity
About the role
- Build and maintain scalable ETL pipelines
- Design our Analytics and Business Intelligence architecture, assessing and implementing new technologies where fitting
- Work with our engineering teams to ensure robust instrumentation across areas of the product
- Become a subject matter expert on Retool’s data sources — understand their context and limitations, and maintain data lineage documentation to promote transparency for end users
- Support data governance efforts, ensuring alignment with all data privacy standards and regulations
- Participate in code reviews, advising on and adhering to coding standards and best practices
- Partner with business teams to deploy robust reports and analyses, surfacing key insights that shape Retool’s future direction
- Develop dashboards and define metrics that drive key business decisions
- Take ownership of our data stack to ensure that teammates are able to access the data they need to make decisions and that technical teams are able to quickly implement events
- Develop data sets to streamline operations, inform strategic priorities, and generate product insights
- Help define our data team structure and operating rhythm for the future; collaborate with stakeholders across finance, marketing, engineering, product, operations, and support
Requirements
- Background in Analytics Engineering, Business Intelligence, Data Engineering, or Data Analytics
- Ideally 4+ years of experience managing and building large, complex data sets across a range of sources
- Strong SQL and data modeling skills; ability to apply a range of data modeling techniques and philosophies to solve real-world problems
- Experience implementing data quality frameworks with automated testing and monitoring that catch critical issues without excessive noise
- Commitment to creating data documentation systems that enable self-service analytics and reduce repetitive stakeholder questions
- Ability to optimize cloud database performance through query tuning, table design, and strategic storage configurations
- Excellent business acumen with the ability to translate stakeholder requirements into data models
- Hands-on experience with data orchestration and transformation tools like dbt, Dagster, or Airflow
- Experience developing in a cloud data warehouse system like Databricks or Snowflake
- Comfortable with common git workflows and at least one scripting or statistical programming language (ideally Python and/or R)
- Skilled at data visualization, with strong opinions on the right way to distill information to various audiences
- A solution-oriented growth mindset; self-starter who thrives in a dynamic environment
- A bias towards communication and collaboration with business and technical stakeholders
- Quantitative rigor and systems thinking
- Prior startup experience preferred but not required
- Deep dbt knowledge, including the ability to write complex but maintainable jinja to customize our dbt deployment
- Deep experience with Spark/Databricks SQL and Delta Lake
- Deep experience with the Databricks platform, including Unity Catalog management, Workflows, DLT, and MLflow
- Experience using UX techniques to design highly usable, effective data products
- Experience designing data models for complex, highly technical products — particularly developer tools
Benefits
- Additional compensation in the form(s) of equity, and/or commission/bonuses are dependent on the position offered.
- Retool provides a comprehensive benefit plan, including medical, dental, vision, and 401(k).
- Generous benefits to all employees.
- Hybrid work location.
- For more information, please visit the benefits and perks section of our careers page.
ATS Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
ETL pipelinesSQLdata modelingdata quality frameworkscloud database performance optimizationdata orchestration toolsdata transformation toolsdata visualizationscripting languagesdata modeling techniques
Soft skills
business acumencommunicationcollaborationsolution-oriented mindsetself-starterquantitative rigorsystems thinkingability to translate requirementsownershipadaptability
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