Senior Data Engineer

October 21

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ServiceTitan

WebsiteLinkedInAll Job Openings

SaaS • Mobile • FinTech

1001 - 5000

Description

• Design and implement reusable solutions and architectures for data sharing and processing use cases. • Support and improve our multi-tenant data pipeline, processes, infrastructure, and stack. • Drive end-to-end performance, scaling, observability, and monitoring of our platforms. • Create data governance models, including assets, relationships, domains, and communities. • Work closely with multiple partner teams to build cross-functional customer solutions. • Develop self-service data and analytics capabilities to empower users to navigate our data ecosystem. • Automate quality monitoring and respond to alerts when data delivery SLAs are not being met. • Assess and recommend architecture frameworks, design, and implement high-performance complex solutions to support data and analytical products. • Evaluate and implement efficient distributed storage and query techniques. • Champion high-quality code with corresponding test coverage. • Participate in regular code reviews and engage in constructive discussions. • Implement CI/CD and other automation techniques to streamline data ingestion and delivery processes. • Champion Data Governance, Compliance, and Security best practices.

Requirements

• B.S. or M.S. degree in Computer Science or related technical field or equivalent practical experience. • 5+ years of software backend/data engineering experience, including familiarity with data modeling, ETL, schema, and system design, roadmap planning, batch processing, implementation, maintenance, and documentation. • Professional development experience in languages such as Python, Scala, or Go. • Experience with large-scale distributed storage and database systems (e.g., Postgres, ElasticSearch, Cassandra, Hadoop, etc). • Hands-on experience building Spark applications or similar Big Data pipelines/frameworks/services (e.g., Hadoop, Hive, Kafka, Presto, Beam, Parquet, Avro, etc.) • Sound knowledge about database concepts such as transactions, indexing, concurrency. • Effective communicator; able to help drive the data engineering roadmap and keep stakeholders updated. • Familiarity with API integrations and development on respective CRM platforms. • Some understanding of data-science & machine-learning data use cases.

Benefits

• Flexible time off with ample learning and development opportunities to continue growing your career. • Comprehensive onboarding program, leadership training for Titans at all levels, and other programs and events. • Great work is rewarded through Bonusly, peer-nominated awards, and more. • Company-paid medical, dental, and vision (with 100% employer paid options and 90% coverage for dependents), FSA and HSA, 401k match, and telehealth options including memberships to Headspace, Galileo, One Medical, Ginger and more. • Parental leave and support, up to $20k in adoption reimbursement, on demand maternity support through Maven Maternity, free breast milk shipping through Maven Milk, pet insurance, legal advisory services, financial planning tools, and more.