PushPress

Gym management software for memberships

Senior Data Platform Engineer

Data EngineeringConfirmed live in the last 24 hours

Full-timeRemote in USARemote

About the Job

Requirements

At least 5 years in data engineering, data platform, data infrastructure, or software engineering roles, with production infrastructure owned end to end; B2B SaaS or payments experience is ideal.
Experience with a cloud warehouse at scale, including performance tuning, cost management, access controls such as role-based access control and masking, and schema design.
Strong Python and SQL skills, with software engineering practices including testing, continuous integration and continuous delivery, code review, and infrastructure as code such as Terraform.
Hands-on experience initiating, maintaining, and operating an orchestrator such as Airflow or Dagster in production, beyond writing directed acyclic graphs.
Experience managing ingestion tools such as Hevo or Fivetran and building custom pipelines when needed, including at least one of change data capture, streaming, or event-driven processing.
Experience building data quality checks and alerting, using Monte Carlo, Elementary, or custom tools, and providing a runbook others can follow.
Daily use of AI, including at least one workflow relied on by others and a check that detects when it is wrong.
Experience with a real-time analytics database such as ClickHouse and understanding when to use it instead of a warehouse.
Experience with privacy and governance requirements under GDPR, CCPA, or PCI, including access, auditing, retention, and deletion.
Experience working with TypeScript codebases alongside product engineers who produce data.
Curiosity about data for AI, including semantic layers, retrieval, evaluations, and governed data access for agents.
Interest in data contracts with data-producing teams.
Interest in event platforms or customer data platforms such as Segment, RudderStack, Snowplow, or PostHog, and identity resolution across product, billing, and CRM data.
Curiosity about gyms and their members; ability to investigate messy data and upstream changes; ability to explain tradeoffs plainly; and practice maintaining documentation, runbooks, and alerts.

Responsibilities

Build and own the data platform foundation for reporting, AI features, and internal teams, including data ingestion, storage, governance, extraction, usage monitoring, and trustworthiness.
Make reporting for gym owners fresh, fast, and accurate, and ensure company metrics can be traced to their source, including metrics presented to the Board.
Set standards for data freshness and uptime, participate in incident response, and resolve root causes to prevent recurring problems.
Combine product, payment, and third-party data to provide a view of gym and member usage from initial inquiry through daily check-in.
Partner with Engineering to ensure new features and integrations produce clean, well-structured data and to catch breaking changes before release.
Simplify data movement by reducing paths and tools, establishing clear ownership, and keeping costs visible and controlled.
Protect gym and member data through access controls, records of access by people and AI agents, and safeguards that AI systems cannot change.
Make privacy requests routine to fulfill without disrupting financial reporting or audits.
Provide the AI Assistant, AI Member Intel, and AI reporting with context to deliver useful, personalized answers to gym owners.
Make business definitions understandable to people and AI so metrics are consistent across dashboards, chat, and Board presentations.
Enable teams to answer their own questions through AI safely, with clear limits on cost and access.

Desired Qualifications

B2B SaaS or payments company experience.
Experience with a real-time analytics database such as ClickHouse and judgment about when to use it instead of a warehouse.
Interest in data for AI, including semantic layers, retrieval, evaluations, and governed access for agents.
Interest in data contracts with teams that produce data.
Interest in event platforms or customer data platforms such as Segment, RudderStack, Snowplow, or PostHog, and identity resolution across product, billing, and CRM data.

About PushPress

PushPress is the AI-powered gym management platform built for boutique fitness.

We are transforming how boutique fitness owners operate and how the entire $100B global fitness industry connects, transacts, and grows. Trusted by more than 5,000 gyms and 500,000 members, PushPress processes ~$1B annually.

We're a Series B company backed by Altos Ventures, StepStone, and Mucker Capital, and we're going all-in on AI. Our AI Assistant, AI Member Intel, and AI-powered reporting tools are already changing how gym owners and coaches operate. We believe AI should make the human side of fitness better, not replace it.

By embedding intelligence directly into the product, we enable boutique fitness owners to make faster decisions, unlock new revenue streams, and collaborate across a connected network. As more gyms join the platform, data compounds, intelligence strengthens, and the value of the ecosystem increases for every owner.

We are a global team of builders, operators, and fitness fanatics on a mission to level the playing field for independent fitness entrepreneurs. If you are ready to help reshape an industry, let's talk!

The Role

PushPress is building a suite of data-driven products and customer experiences that powers reporting and AI features for 5,000+ gyms and our internal teams. We're hiring our first Data Platform Engineer to own the foundation that all of it runs on: how data gets in, where it lives, how it's governed, how it's extracted (while monitoring who uses it and why), and whether people and AI agents can trust it. Our direction: anyone at PushPress, and the AI agents they work with, should get answers they can rely on without waiting on the Data team. You'll design the platform that makes that possible and support the teams who build on it. You'll collaborate closely with our Data team (Data Engineering and Analytics) and the broader R&D team, and you'll have a real say in how we turn our data into tools, including AI, that help gyms run better businesses.

What You'll Own

Fast, trustworthy data for 5,000+ gyms

Make the reporting gym owners see in PushPress fresh, fast and right, so they can act on their business in the moment
Make sure every number we run the company on, up to what the Board sees, traces back to where it came from

Set the bar for freshness and uptime, take part in incident response, and fix root causes so problems don't come back

A full view of the customer journey

Bring product, payment and third-party data together so we can see how gyms and their members use PushPress, from first inquiry to daily check-in

Partner with Engineering so new features and integrations produce clean, well-structured data from day one, with breaking changes caught before they ship

Simplify how data moves: fewer paths and tools, each with a clear owner, and costs that stay visible and in check

Privacy and security by design

Protect the gym and member data entrusted to us: who can see what, a record of every access by a person or an AI agent, and safeguards no AI system can change

Make honoring a privacy request routine, without breaking financial reporting or audit

The foundation for AI at PushPress

Give our AI Assistant, AI Member Intel, and AI reporting the context they need to give gym owners useful, personal answers

Make business definitions readable by people and AI, so a metric means the same thing in a dashboard, a chat or a Board deck

Help every team at PushPress answer its own questions through AI, safely and with clear limits on cost and access

What We're Looking For

You've done this hands-on

5+ years in data engineering, data platform, data infrastructure, or software engineering roles, with production infrastructure you owned end to end (ideally at a B2B SaaS or payments company)

A cloud warehouse experience at scale: performance tuning, cost management, access controls (RBAC, masking) and schema design

Strong Python and SQL, with solid software engineering habits (testing, CI/CD, code review, infrastructure as code such as Terraform)

Hands-on experience initiating, maintaining, and running an orchestrator like Airflow or Dagster in production, not just writing DAGs

Managed ingestion tools (Hevo, Fivetran) and custom pipelines when they fall short, including at least one of CDC, streaming or event-driven

Data quality checks and alerting you built (Monte Carlo, Elementary, or your own), with a runbook someone else can follow

Using AI daily, including at least one workflow others rely on and a check that catches it when it's wrong

You've worked with

A real-time analytics database such as ClickHouse, and a view on when to use it instead of a warehouse

Privacy and governance requirements under GDPR, CCPA or PCI (access, auditing, retention and deletion)
TypeScript codebases, alongside the product engineers who produce our data

You're curious about

Data for AI: semantic layers, retrieval, evals and giving agents governed access to data

Data contracts with the teams that produce data

Event platforms or CDPs (Segment, RudderStack, Snowplow, PostHog) and identity resolution across product, billing and CRM data

How you work

You're curious about the gyms and members behind the data

You tackle messy data head on, and you find out what changed upstream

You explain tradeoffs in plain terms, and can say "not yet, and here's why"

You improve as you go: docs, runbooks and alerts are standard practice

Benefits & Perks

Equity Incentive Plan

Flexible Paid Time Off (and Public Holidays)

Health Care Plan (Medical, Dental & Vision)

Retirement Plan (Company Sponsored 401k with Match)

Life Insurance

Family Leave (Maternity, Paternity)

Work From Home Stipend

Wellness Stipend

PushPress is dedicated to fostering an inclusive and dynamic workplace. We’re all about leveling up, and that means we don’t tolerate any form of discrimination or harassment. We’re committed to providing equal opportunities, regardless of race, color, religion, sex, sexual orientation, gender identity or expression, pregnancy, age, national origin, disability, genetic info, veteran status, or any other legally protected characteristic.

At PushPress, we’re dedicated to helping both our technology and our team reach peak performance. Whether it’s with your proactive approach, eye for detail, or drive to make a meaningful impact, we’d love to hear from you. At PushPress, we’re all about pushing boundaries and achieving new personal bests—come join us and be part of our fitness-tech journey!

About the Company

PushPress

Gym management software for memberships

PushPress provides gym management software that helps fitness business owners streamline operations by automating administrative tasks, managing memberships, and processing payments. The platform includes tools for class scheduling, payment processing, and member management, plus a dedicated Member App where clients reserve classes, track workouts, and engage with the gym community. The product is delivered as a subscription, scalable to gyms, studios, and fitness centers of varying sizes, and designed to grow with the business. Its approach centers on combining back-end operational efficiency with front-end member engagement to improve retention and community-building. The goal is to help fitness businesses save time on admin work, scale their operations, and foster a thriving member community.

Company size: 51-200
Company stage: Series B
Total funding: $31.5M
Headquarters: El Segundo, CA
Founded: 2011

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