Senior Analytics Engineer I

Upside • Austin, TX

76d • $150,000 - $180,000 • Hybrid

About The Position

We're looking for an Analytics Engineer to join the team responsible for Upside's core data platform. You'll play a key role in building trusted data products that serve both internal teams and customer-facing features, while also improving the analytics platform and enabling others to do their best data work. This is a great opportunity for someone who's confident working with large datasets and complex business logic, thrives in a fast-moving environment, and wants to grow as a technical contributor while collaborating closely with product managers, analysts, data scientists, and engineers across the company.

Requirements

• Have 2-4 years of experience working in data or analytics engineering roles, preferably in a modern data stack environment (e.g., Snowflake, dbt, Dagster, Airflow).
• Are fluent in SQL, and comfortable writing performant, modular transformations at scale.
• Have working knowledge of Python, particularly in the context of data orchestration, transformations, and testing.
• Understand tradeoffs between different modeling approaches (e.g., Kimball vs. OBT), and can choose appropriate techniques based on data volume and business needs.
• Can independently communicate technical concepts to both engineers and non-technical stakeholders.
• Think critically about ROI, know when to automate, and understand how to balance long-term quality with short-term delivery.

Nice To Haves

• Experience supporting machine learning workflows, such as building features or monitoring model inputs and outputs.
• Familiarity with DevOps practices (e.g., CI/CD for data), data governance, or FinOps (cost-conscious design).
• Experience working in a fast-growing startup environment or on platform-style teams that serve internal customers.

Responsibilities

• Design and build complex, scalable data products that support internal analytics and power product features, using tools like dbt, Snowflake, and Dagster.
• Translate ambiguous business needs into structured, trustworthy data assets-owning development end-to-end, from design through deployment and monitoring.
• Contribute to shared platform tooling that improves pipeline orchestration, testing, access control, and observability for both engineers and analysts.
• Evaluate and implement new platform capabilities, such as Semantic Views, Cortex, or SnowML, to improve performance, maintainability, and user experience.
• Support and enable teammates across the org, including onboarding new users, resolving data issues, and documenting patterns and best practices.
• Maintain reliability and data quality through shield support rotations, strong monitoring, alerting, and test coverage.

Benefits

• Medical, dental, and vision coverage starting on Day 1
• Equity (ISOs)
• 401(k) program
• Family planning programs + paid parental leave
• Physical fitness and wellness memberships
• Emotional and mental health support programs
• Unlimited PTO + 10 paid federal holidays + our annual, week-long Winter Break
• Flexible work environment
• Lunch reimbursement for in-office employees
• Employee Resource Groups
• Learning and Development stipend
• Transparent culture
• Amazing mission!

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Industry: Telecommunications
• Number of Employees: 251-500 employees