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As a Senior Data Engineer on our Financial Data Engineering team, you will play a pivotal role within the broader Data Services organization. Our team builds and maintains critical database solutions that power enterprise-wide analytics, data science, and financial reporting.
We are striving 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. We are looking for individuals who value solving complex problems and building robust, high-quality data products. The ideal candidate can balance the need for rapid iteration with a commitment to quality and is comfortable navigating ambiguity as we continue to scale.
What You'll Do:
Design, build, and operationalize data engineering solutions for financial reporting, supporting earnings calls and both 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 data 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 PhD degree in Computer Science or a related technical field.
5+ years of professional experience in data engineering or software engineering roles. Previous 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 the role of LLMs and AI in analytics, with ideas on leveraging them for productivity, prompt engineering, and response accuracy.
Strong experience (at least 2+ years) with the following are preferred:
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. 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.
What We Offer:
When you join our team, you’re not just accepting a job. You’re making a career move. Here’s how we’ll support you in doing some of the most impactful work of your career:
Flextime, recognition, and support for autonomous work: Flexible time off with ample learning and development opportunities to continue growing your career. We offer a 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.
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 Titans at all stages of life: Parental leave and support, up to $20k in adoption reimbursement, on demand maternity support through Maven Maternity, free breast milk shipping through Maven Milk, financial planning tools, and more.
Our Commitment to Inclusion:
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 strongly encourage people from underrepresented groups to apply. ServiceTitan is an equal opportunity employer. We do not discriminate against employees based on race, colour, religion, creed, sex, national origin, gender identity or expression, age, disability, pregnancy (including childbirth, breastfeeding, or related medical condition), marital status, family status, sexual orientation, or any other characteristic protected by applicable provincial legislation.
Accommodations are available on request for candidates taking part in all aspects of the selection process.
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.
A Note on the Application & Hiring Process:
This position advertised is for an existing vacancy. We are currently seeking a qualified candidate to fill this position and will be reviewing applications on a rolling basis.
Compensation Disclosure:
ServiceTitan is committed to fair and equitable compensation for all of our employees. We thoughtfully consider a wide range of factors when determining individual compensation. The expected compensation for this role for candidates residing in Canada is between $132,200 CAD - $182,200 CAD. Actual compensation for an individual may vary depending on many factors, including skills, performance over time, business needs, qualifications, experience, and location. In addition to the base salary, the total compensation package also includes equity and a holistic suite of benefits. This position may also be eligible for a bonus.
Personal Information:
ServiceTitan collects your personal information to support its business operations, including for human resources, employment, benefits administration, health and safety, and other business-related purposes as well as for legal compliance. You can review further details of such collection and use in our Privacy Policy
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