Overview

Productivity Engineer — a data driven engineer that can identify inefficiencies across the enterprise by collaborating with colleagues across the enterprise, leveraging analytics skills and build workflow automations to drive results. You’ll build internal applications, workflows, and automations that help teams across the company work faster, reduce costs, and eliminate inefficiencies. This role sits at the intersection of data engineering, workflow automation, and front-end application design. You’ll leverage modern data platforms like Snowflake and dbt alongside Sigma — turning BI from static reporting into interactive, actionable applications. You’ll be part of the Data Platform team, a centralized team of Data and Analytics Engineers who focus on building the underlying data architecture necessary for Sigma’s success.

If you are passionate about creating applications that make your business better atop enterprise data, then this is the job for you!

Examples Of What You’ll Build On Sigma

• Accounting automation: An application that helps companies close their books faster, giving finance teams a competitive edge.
• Smart inventory management: An app that monitors store inventory in real-time, taking in demand signals and triggering replenishment before anyone recognizes the need.
• Invoice processing with AI: An app that automatically scans, routes, and processes invoices, eliminating the need for costly third-party systems.

Day in the Life & First 90 Days

In Your First 30 Days

• Learn our data ecosystem, including Snowflake, Databricks, dbt, and Sigma (and more!).
• Partner with business stakeholders to identify the biggest productivity bottlenecks.
• Ship your first workflow or small automation — something that a team will start using right away.

By 60 Days

• Build your first end-to-end application: pulling clean data from data models, powering a Sigma-based interface, and automating workflows in the background.
• Deliver measurable results (e.g., automating a manual process entirely).
• Present your work back to stakeholders, showcasing both technical design and business impact.

By 90 Days

• Own the development of multiple applications in production, actively used by cross-functional teams.
• Establish a pipeline of future productivity projects, informed by stakeholder feedback and your own creativity.
• Begin mentoring others on best practices for using Sigma and workflow automation to drive business action.

Responsibilities

• Identify inefficiencies across the enterprise and design workflow automations to drive measurable results.
• Build internal applications and tooling that enable teams to work faster and reduce costs.
• Collaborate with stakeholders across the business to define requirements and deliver impactful solutions.

Qualifications

• Strong foundation in data/analytics engineering (SQL, dbt, data modeling, and cloud data warehouses like Snowflake/Databricks).
• Proficiency in at least one scripting language (Python, JavaScript, SQL).
• Familiarity with low-code/no-code platforms for workflow automation.
• Interest or experience in front-end design to build intuitive internal tools.
• Ability to quickly identify inefficiencies and build creative, scalable solutions.
• Strong collaboration and communication skills — you’ll be working directly with business stakeholders.

Preferred

• Hands-on experience with Sigma or similar tools that bridge BI and operational action.
• Experience integrating APIs into workflows or applications.
• Familiarity with DevOps practices for deploying and monitoring applications.
• A passion for visualization design UI/UX.

Why Join Us

• Immediate Impact: See your work adopted and celebrated as soon as it’s built.
• Hybrid Engineering Role: Blend data engineering, workflow automation, and application development in one position.
• Cutting-Edge Tools: Work with modern platforms like Snowflake, Databricks, dbt, and Sigma.
• Business Visibility: Your apps will be used daily by teams across the company — and your success is measured in time saved, costs reduced, and processes accelerated.
• Creative Freedom: Explore low-code, scripting, and front-end frameworks to build elegant, effective solutions.

Apply now to become our next Productivity Engineer and transform how we work.

Additional Job Details

The base salary range for this position is $140,000 - $170,000 annually. Compensation may vary outside of this range depending on a number of factors, including a candidate’s qualifications, skills, competencies and experience. This role is eligible for stock options, as well as a comprehensive benefits package.

About Us

Sigma is the only cloud analytics and business intelligence tool empowering business teams to break free from the confines of the dashboard, explore data for themselves, and make better, faster decisions. The award-winning software was built to capitalize on the performance power of cloud data warehouses to combine data sources and analyze billions of rows of data instantly via an intuitive, spreadsheet-like interface – no coding required. Sigma is backed by notable investors and has recently announced Series D funding to accelerate growth.

Benefits For Our Full-Time Employees

• Equity
• Generous health benefits
• Flexible time off policy
• Paid bonding time for all new parents
• Traditional and Roth 401k
• Commuter and FSA benefits
• Lunch Program
• Dog friendly office

Sigma Computing is an equal opportunity employer. We are committed to building a smart and strong team regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender, gender identity or expression, or veteran status. Note: We have an in-office work environment in all our offices in SF, NYC, and London.