Senior Software Engineer, Data Platform

Posted Yesterday
Be an Early Applicant
Hiring Remotely in India
Remote or Hybrid
Senior level
Artificial Intelligence • Cloud • Fintech • Machine Learning • Mobile • Software
The operating system for the trades.
The Role
Design, build, and operate batch and real-time data ingestion and transformation pipelines. Develop platform components (storage, compute, pipelines), monitoring, alerting, and data-quality tooling. Diagnose production issues, participate in on-call rotations, and build AI-powered agents to automate engineering and operational tasks.
Summary Generated by Built In
About the Role

As a Senior Software Engineer, you will be a core contributor to the systems and infrastructure that power data across ServiceTitan. You'll work on ingestion frameworks, pipeline reliability, data quality tooling, and platform capabilities that engineering and analytics teams depend on. This is a technically deep role for an engineer who takes pride in building things the right way and wants ownership over meaningful infrastructure.

What You'll Do
  • Build and operate data ingestion and transformation pipelines across real-time and batch workloads
  • Implement scalable solutions for onboarding new data sources and evolving existing integrations
  • Contribute to the design of data platform components — storage, compute, and pipeline layers
  • Develop tooling for monitoring, alerting, and data quality measurement with a focus on automation and self-service
  • Diagnose and resolve production issues with a bias toward systemic fixes over workarounds
  • Participate in on-call rotation — triage incidents, own resolution end-to-end, and close the loop with post-incident improvements
  • Build and use AI-powered agents to automate repetitive engineering and operational tasks — triage, monitoring, pipeline debugging, and support workflows
What You'll Bring
  • 7+ years of experience in software or data engineering roles in production, high-traffic environments
  • Hands-on experience building batch and real-time data pipelines
  • Working knowledge of distributed systems principles: reliability, scalability, fault tolerance
  • Strong ownership mindset — you follow through on what you build and operate it well
  • Experience with Kafka or other streaming platforms
  • Experience with Spark Structured Streaming and open table formats — Apache Iceberg or similar (Delta Lake, Hudi)
  • Experience with cloud data warehouses — Snowflake strongly preferred
  • Experience with workflow orchestration — Airflow or similar
  • Proficiency in Python and SQL
  • Ability to build and use AI agents for engineering and operational tasks — from automating runbooks to building support triage tools
  • B.S. or M.S. in Computer Science, Engineering, or equivalent experience
Nice to Have
  • Experience with CDC patterns and tooling (Debezium or similar)
  • Familiarity with DBT or transformation frameworks
  • Experience with Big Data technologies (Spark, Flink, Pinot, etc.)
  • Prior use of AI coding tools (Cursor, Copilot, etc.) or LLM-based agent frameworks (LangChain, Claude, etc.)

Be Human With Us: 

Being human isn’t about checking every box on a list. It’s about the experiences we have, people we meet, and the perspectives we share. So, if you have the skills but are hesitant to apply because of your background, apply anyway. We need amazing people like you to help us challenge the conventional and think differently about the problems that we’re solving. We’re in this together. Come be human, with us. 
Use of AI Technology:

We use technology, including automated and AI-assisted tools, to support certain aspects of our recruitment process. These tools are designed to improve efficiency and enhance the candidate experience. AI tools are not used to make hiring decisions; all hiring decisions are made by our hiring teams.

At ServiceTitan, we celebrate individuality and uniqueness. We believe that the convergence of fresh perspectives and experiences from all walks of life is what makes our product and culture so great. We do not discriminate against employees based on race, color, religion, sex, national origin, gender identity or expression, age, disability, sexual orientation, or any other characteristic protected by applicable laws. 

Skills Required

  • 7+ years of experience in software or data engineering roles in production, high-traffic environments
  • Hands-on experience building batch and real-time data pipelines
  • Working knowledge of distributed systems principles: reliability, scalability, fault tolerance
  • Strong ownership mindset and ability to operate what you build
  • Experience with Kafka or other streaming platforms
  • Experience with Spark Structured Streaming
  • Experience with open table formats (Apache Iceberg, Delta Lake, Hudi)
  • Experience with cloud data warehouses (Snowflake)
  • Experience with workflow orchestration (Airflow or similar)
  • Proficiency in Python
  • Proficiency in SQL
  • Ability to build and use AI agents for engineering and operational tasks
  • B.S. or M.S. in Computer Science, Engineering, or equivalent experience
  • Experience with CDC patterns and tooling (Debezium or similar)
  • Familiarity with DBT or transformation frameworks
  • Experience with Big Data technologies (Flink, Pinot, additional Spark experience)
  • Prior use of AI coding tools or LLM-based agent frameworks (LangChain, Copilot, Claude, etc.)

ServiceTitan Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about ServiceTitan and has not been reviewed or approved by ServiceTitan.

  • Healthcare Strength Healthcare coverage is positioned as a major strength, with multiple plan features emphasizing broad medical, dental, and vision support plus telehealth-style access. Additional elements like HSA/FSA options and employer contributions reinforce perceived value beyond base pay.
  • Parental & Family Support Parental leave and family-forming support appear notably robust, with repeated references to paid leave and meaningful adoption/fertility assistance. The package is described as supportive across different family paths, though specifics can vary by plan and location.
  • Fair & Transparent Compensation Compensation is portrayed as generally competitive in several functions, particularly in engineering and experienced roles, contributing to an overall sense of being paid fairly. Equity and bonus components are also described as meaningful parts of total rewards for many roles.

ServiceTitan Insights

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The Company
HQ: Glendale, CA
2,760 Employees
Year Founded: 2012

What We Do

ServiceTitan is the world’s leading and fastest-growing software technology platform for the trades, a trillion-dollar global industry. We help small business entrepreneurs run and grow their businesses and aim to democratize the power of technology. The trades industry approaches $800B in North America alone and was significantly underserved by traditional software industry leaders prior to ServiceTitan’s entrance to the market. Today, ServiceTitan powers the businesses of more than 5,000 customers, is backed by the world’s leading venture capitalists, and continues to target triple-digit growth annually. ServiceTitan unlocks for small business, the tools and support that big business has enjoyed for decades; helping everyday entrepreneurs run and grow their businesses so they can build better lives for themselves and their families.

Why Work With Us

Not only do we change the lives of our customers, but we strive to create an environment full of opportunities that will change the lives of our employees. We are committed to giving extraordinary talent, extraordinary opportunity, and we prioritize investing in Titans, through a suite of benefits, learning and growth opportunities, and more.

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