Senior Data Engineer

About the Role

Key Responsibilities

• Work with business stakeholders to understand their goals, challenges, and decisions
• Identify opportunities and build solutions that standardize the data approach to common problems across the company
• Evangelize the use of data-driven decision making across the organization
• Build processes to ensure data is trusted and well-documented
• Partner with data analysts on refining the data model used for reporting and analytical purposes
• Collaborate with engineering on improving availability and consistency of data points crucial for analysis and represent data team in architectural discussions
• Develop, mentor, and train data engineers

Requirements

• Demonstrated experience with languages/technologies/frameworks such as Python, Docker, Kubernetes, GCP and/or AWS (or equivalents)
• Experience in designing and building scalable data pipelines
• Strong communication skills to convey technical solutions to both technical and non-technical stakeholders
• Experience working effectively in a fast-paced, agile environment as part of a collaborative team
• Ability to work independently and as part of a team
• Willingness and enthusiasm to learn new technologies and tackle challenging problems
• Knowledge of different data modeling paradigms, e.g., relational, data vault, and medallion
• Pragmatism: balancing scrappiness and rigor
• Minimum of 8+ years of related experience

Nice to Have

• Experience building across clouds
• Experience with CDPs like Segment and Amplitude
• Some experience in Infrastructure as Code tools like Terraform

Qualifications

• 8+ years of related experience

Benefits & Perks

• Salary range of $174,000 - $234,000 depending on location, skills, and experience
• Equity
• Comprehensive benefits
• 401k
• Flexible time off