About the Role
The role involves building and optimizing data infrastructure to support analytics across the organization, ensuring data accuracy, accessibility, and actionable reporting.
Responsibilities
- Develop and manage data pipelines for reliable information flow
- Design data models that support business intelligence needs
- Collaborate with teams to understand data requirements
- Ensure data quality through monitoring and validation processes
- Optimize query performance across large datasets
- Maintain documentation for data structures and workflows
- Support analytics tools used by non-technical teams
- Translate business questions into data solutions
- Implement version control for data transformation code
- Work within agile development cycles
- Participate in code reviews for data logic
- Monitor system performance and troubleshoot issues
- Integrate data from multiple source systems
- Apply best practices in data warehouse design
- Use SQL for data extraction and analysis
- Employ Python or similar languages for automation
- Configure data transformation workflows
- Support data governance and security standards
- Assist in defining key performance indicators
- Contribute to end-to-end data project delivery
- Ensure compliance with data privacy policies
- Evaluate new data tools and technologies
- Provide technical guidance to analysts
- Maintain consistency across reporting systems
- Respond to evolving data needs
Benefits
- Health insurance coverage including medical, dental, and vision
- Retirement savings plan with employer contribution
- Paid time off and company holidays
- Flexible spending accounts
- Employee assistance program
- Professional development opportunities
- Work-life balance initiatives
- Remote work support
- Wellness programs
- Parental leave policy
- Adoption assistance benefit
- Commuter benefits
- Stock purchase plan
- Life and disability insurance
- Tuition reimbursement
- Volunteer time off
- Employee recognition programs
- Mental health resources
- Inclusive workplace culture
- Team-building events
Compensation
Competitive salary with performance-based incentives
Work Arrangement
Hybrid work model with flexible scheduling options
Team
Collaborative team environment focused on data solutions
Why This Role Matters
- This position plays a critical part in transforming raw data into trusted insights used across departments.
- Engineers in this role directly influence product decisions and risk management strategies.
Technology Stack
- Primary tools include Snowflake, dbt, Airflow, and Looker.
- Development workflows are managed through GitHub and CI/CD pipelines.
Growth Opportunities
- Opportunities exist to lead data initiatives and mentor junior team members.
- Engineers are encouraged to propose improvements and pilot new technologies.
No visa sponsorship available for this position
