Senior Data Engineer

Posted Yesterday
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Bengaluru, Bengaluru Urban, Karnataka, IND
Hybrid
Senior level
Artificial Intelligence • Cloud • Fintech • Machine Learning • Mobile • Software
The operating system for the trades.
The Role
Build and maintain scalable, fault-tolerant data platform components. Implement semantic modeling and data sharing, curate dbt semantic models, optimize query performance and distributed storage, build ETL/streaming pipelines, ensure code quality and observability, and participate in on-call rotations to maintain platform reliability.
Summary Generated by Built In

Ready to be a Titan?

Play a pivotal role on our Data Platform team! As a Senior Data Engineer, you will help build and evolve our core data platform, working on high-impact features in a rapidly growing, high-scale environment.

In this role, you will contribute to our next generation of data platform capabilities - supporting Semantic Modeling, improving Query Performance, and helping advance our Data Sharing capabilities. We build for perfection, use the most modern tools, have an amazing culture, and love to solve complex problems. If you share these values, you will find yourself in the perfect company.

What you'll do

  • Implement & Maintain: Build and maintain high-performance, fault-tolerant, and scalable systems to support enterprise-grade data and analytical products.

  • Semantic & Shared Data Contributions: Contribute to the implementation of Semantic Layer and Data Share solutions, helping enable governed data access across the organization.

  • Data Curation & Modeling: Help build clean semantic models using dbt MetricFlow to define standardized business metrics, and support data curation solutions that allow teams to quickly onboard new data sources.

  • Performance Engineering: Implement and tune distributed storage and Query Performance techniques to improve platform efficiency and reduce latency across large datasets.

  • Pipeline Engineering: Partner with cross-functional teams to extract, transform, and load data from a wide variety of transactional, streaming, and analytical sources.

  • Code Quality: Write robust, well-tested, and maintainable code. Participate actively in code reviews and technical discussions.

  • Observability & Quality: Build automation for monitoring, alerting, and measuring data quality to support high platform reliability.

  • Operational Ownership: Participate in the on-call rotation to monitor system stability, respond to incidents, and support a culture of operational excellence.

What you'll bring

  • Education: B.S. degree in Computer Science or a related field.

  • Experience: 5+ years of hands-on experience in Software Engineering / Data Engineering roles working in high-traffic, highly available production environments.

  • Semantic & Performance Exposure: Familiarity with Semantic Modeling concepts (dbt MetricFlow experience a plus) and experience troubleshooting and optimizing Query Performance.

  • Core Modern Stack: Solid proficiency with cloud data warehouses (e.g., Snowflake), SQL, and data transformation tools like dbt.

  • Programming Depth: Experience with Python, Spark, Java, Scala, or similar programming languages.

  • Big Data & Streaming: Experience with Big Data technologies (Snowflake, Redshift, Hive/Hadoop, etc.); exposure to streaming/messaging platforms like Kafka or Kinesis is a plus.

  • Operational Rigor: Experience participating in production on-call rotations and adhering to CI/CD guidelines.

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

  • B.S. degree in Computer Science or a related field
  • 5+ years hands-on experience in Software Engineering / Data Engineering in high-traffic production environments
  • Familiarity with Semantic Modeling concepts
  • dbt MetricFlow experience
  • Experience troubleshooting and optimizing query performance
  • Proficiency with cloud data warehouses (e.g., Snowflake)
  • Proficiency in SQL
  • Experience with data transformation tools like dbt
  • Programming experience with Python, Spark, Java, Scala, or similar languages
  • Experience with Big Data technologies (Redshift, Hive, Hadoop, Snowflake)
  • Exposure to streaming/messaging platforms like Kafka or Kinesis
  • Experience participating in production on-call rotations and adhering to CI/CD guidelines

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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