Senior Data Engineer

3 weeks ago


Toronto Montreal Calgary Vancouver Edmonton Old Toronto Ottawa Mississauga Quebec Winnipeg Halifax Saskatoon Burnaby Hamilton Victoria Surrey Halton Hills London Regina Markham Brampton Vaughan Kelowna Laval Southwestern Ontario R, Canada ServiceTitan Full time

Ready to be a Titan? As a Senior Data Engineer on our Financial Data Engineering team, you will help build and maintain critical database solutions that power enterprise‑wide analytics, data science, and financial reporting. We strive to make data the core of every decision at our company. This is an exciting opportunity for an experienced engineer to make a significant impact in a rapidly growing environment and to solve complex problems while building robust, high‑quality data products. What You’ll Do Design, build, and operationalize data engineering solutions for financial reporting, supporting earnings calls and short‑term and long‑term planning. Develop self‑service data and analytics capabilities to empower users to navigate our data ecosystem. Automate data quality monitoring and respond to alerts to ensure delivery SLAs are met. Contribute to our architectural framework by designing and implementing high‑performance, complex solutions for data and analytical products. Implement efficient distributed compute, storage, and query techniques to optimize performance. Deliver high‑quality, maintainable code with comprehensive test coverage. Implement CI/CD and other automation to streamline data ingestion and delivery processes. Champion data governance, compliance, and security best practices across the team. What You’ll Bring B.S., M.S., or Ph.D. in Computer Science or a related technical field. 5+ years of professional experience in data engineering or software engineering roles; experience supporting a Finance team and critical metrics for events like earnings calls is highly desired. Proficiency in SQL, Python, and data warehousing concepts. Good understanding of Spark. Hands‑on experience with modern data platforms and Big Data technologies (e.g., Snowflake, Databricks). Strong understanding of data modeling, data transformation, and ETL/ELT processes. Familiarity with software development best practices, including code reviews, QA/testing, and CI/CD. Knowledge of data governance, security, and compliance principles. An interest in LLMs and AI in analytics, with ideas on leveraging them for productivity, prompt engineering, and response accuracy. Strong experience (at least 2+ years) with: Azure Cloud Computing Snowflake or Databricks dbt Airflow SQL, Python, and Spark Contributing to data architecture and design 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. 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. When You Join Our Team Flextime, recognition, and support for autonomous work: flexible time off with ample learning and development opportunities, onboarding, leadership training, and peer‑nominated awards. Holistic health and wellness benefits: company‑paid medical, dental, and vision for you and your dependents, RSP match, and an employee assistance program. Support for personal life stages: parental leave and support, up to $20k in adoption reimbursement, on‑demand maternity support through Maven, free breast milk shipping, and financial planning tools. Seniority Level Mid‑Senior level Employment Type Full‑time Job Function Information Technology Industries Software Development ServiceTitan strongly encourages people from underrepresented groups to apply. ServiceTitan does not discriminate based on race, color, religion, sex, nationality, gender identity, age, disability, pregnancy, or any other protected characteristic. We are committed to fair and equitable compensation for all employees. The expected salary range for this role for candidates residing in Canada is between $124,400 CAD – $186,600 CAD. Actual compensation may vary based on skills, experience, performance, and location. In addition to base salary, the total compensation package includes an annual bonus, equity, and a holistic suite of benefits. #J-18808-Ljbffr



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