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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in data engineering and infrastructure management, ensuring data accuracy, security, and performance across AI-driven reporting products. Proficient in Python, SQL, and cloud data warehousing, with a strong focus on data governance and compliance.
Highest-signal resume keywords
Data EngineeringPython ProgrammingSQL ProficiencyCloud Data WarehousingData Governance Compliance
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Data Infrastructure ManagementPerformance TuningSchema DesignCI/CD PracticesAirflowData Quality ChecksReal-Time AnalyticsEvent-Driven ArchitecturesAccess ControlsTesting
Soft Skills
CuriosityProblem-SolvingDocumentation Skills
Tools & Technologies
TerraformHevoFivetranMonte CarloElementaryClickHouseTypeScript
Industry Keywords
B2B SaaSGDPRCCPAPCIData Contracts
Tech Stack
Tools & technologiesAirflowCloudPythonSQLTerraformTypeScript
About the role
Key responsibilities & impact- Own the foundation for PushPress’s data-driven reporting and AI products
- Ensure reporting data for 5,000+ gyms is fresh, fast, accurate, and trustworthy
- Ensure company metrics trace back to their sources
- Set standards for freshness and uptime, participate in incident response, and fix root causes
- Integrate product, payment, and third-party data across the customer journey
- Partner with Engineering to produce clean, well-structured data and catch breaking changes before release
- Simplify data movement through fewer, clearly owned tools and paths while controlling costs
- Protect gym and member data through access controls, audit trails, and safeguards for AI systems
- Handle privacy requests without disrupting financial reporting or audits
- Provide context for AI Assistant, AI Member Intel, and AI reporting features
- Define business metrics consistently across dashboards, chat, and Board materials
- Enable teams to answer questions through AI safely, with cost and access controls
- Collaborate with Data Engineering, Analytics, and the broader R&D team
Requirements
What you’ll need- 5+ years in data engineering, data platform, data infrastructure, or software engineering roles, with production infrastructure owned end to end, ideally at a B2B SaaS or payments company
- Experience with a cloud warehouse at scale, including performance tuning, cost management, access controls (RBAC, masking), and schema design
- Strong Python and SQL
- Solid software engineering practices, including testing, CI/CD, code review, and infrastructure as code such as Terraform
- Hands-on experience initiating, maintaining, and running Airflow or Dagster in production
- Experience managing ingestion tools such as Hevo or Fivetran and custom pipelines, including at least one of CDC, streaming, or event-driven architectures
- Experience building data quality checks and alerting using Monte Carlo, Elementary, or equivalent tools, with maintainable runbooks
- Daily use of AI, including at least one workflow others rely on and a check that detects errors
- Experience with a real-time analytics database such as ClickHouse and knowledge of 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 in TypeScript codebases alongside product engineers
- Curiosity about semantic layers, retrieval, evals, governed agent data access, data contracts, event platforms/CDPs, and identity resolution
- Ability to investigate messy data, explain tradeoffs plainly, and maintain documentation, runbooks, and alerts
Benefits
Comp & 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