Staff Backend Engineer-Data/Analytics Team

Department: Engineering

Location: United States

Employment Type: FullTime

Staff Backend Engineer - Analytics

Location: United States (Remote)

Department: Engineering

Reports To: Manager, Data Engineering

About Hatch

Hatch is an AI-powered customer engagement platform transforming how home services businesses connect with their customers. As a Y Combinator (W19) company, we're building the future of customer communication through voice AI, intelligent messaging, and seamless CRM integrations. Our platform helps thousands of businesses deliver exceptional customer experiences at scale. Recently acquired by Yelp, Hatch operates as a startup within the Yelp family—maintaining our fast-moving, aggressive startup culture while leveraging the scale and resources of a public company.

About the Role

We're looking for a Staff Backend Engineer to join our Analytics team. You'll be a technical leader designing and building the data infrastructure that powers business insights for our customers. This role combines hands-on engineering with technical leadership—driving architecture decisions, mentoring engineers, and delivering systems that process billions of events.

What You'll Do

• Design and build scalable data pipelines and analytics infrastructure

• Lead technical architecture decisions for the analytics platform

• Mentor and guide other engineers through code reviews and design discussions

• Build APIs and services that deliver real-time and historical analytics to customers

• Optimize query performance for large-scale data access patterns

• Partner with Product to translate business requirements into technical solutions

• Collaborate with Data Bridge team on data integration and ETL patterns

• Drive engineering best practices and technical excellence

What We're Looking For

• 7+ years of backend software engineering experience

• Deep expertise in data systems, pipelines, and analytics infrastructure

• Proficiency with Go, Python, or similar backend languages

• Strong experience with PostgreSQL and data warehousing solutions

• Experience building high-throughput data processing systems

• Track record of technical leadership and mentoring

• Strong system design and architecture skills

• Excellent communication and collaboration abilities

Nice to Have

• Experience with real-time analytics and streaming data (Kafka, Kinesis)

• Background with BI tools and dashboard infrastructure

• Experience with columnar databases (ClickHouse, BigQuery, Snowflake)

• Familiarity with event-driven architectures

• Experience building customer-facing analytics products

What We Offer

• Competitive salary

• Comprehensive health, dental, and vision insurance

• Flexible PTO policy

• Remote-first work environment

• Home office stipend

• Professional development budget

• Closing

• There are a variety of factors that go into determining a salary range, including but not limited to external market benchmark data, geographic location, and years of experience.

• Based on the anticipated level of experience we are seeking, we expect the compensation range for this role to be between $112,000 and $269,000. You may also be offered a bonus, restricted stock units, and benefits.

• We will consider for employment qualified candidates with arrest and conviction records, consistent with applicable law (including, for example, the San Francisco Fair Chance Ordinance for roles based in San Francisco, the Los Angeles County Fair Chance Ordinance for roles based in the unincorporated areas of Los Angeles County, and the California Fair Chance Act for roles based in California).

• Where required by law, a criminal background check will not be conducted until after a conditional offer of employment is made, and any evaluation of a candidate's criminal background check will be subject to an individualized assessment that takes into account the candidate's specific criminal records and the responsibilities and requirements of the particular role.

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