Data Engineer II

Join to apply for the Data Engineer II role at Spring Financial. Get AI-powered advice on this job and more exclusive features. About Us Spring Financial is revolutionizing financial access for Canadians, providing smart credit‑building, mortgage, and lending solutions. Millions struggle with high‑interest debt and limited financial options—we’re here to change that. As one of Canada’s fastest‑growing fintech companies, annually we help 1 million customers explore their financing options with ease—online, via text, or over the phone. Our dynamic, innovative team thrives on collaboration, growth, and making a real impact. To learn more about our products please visit our website here: www.springfinancial.ca. NOTE: This is a full‑time, permanent, hybrid position in downtown Vancouver. 3 set days in the office and 2 WFH. Job Overview As a Data Engineer II at Spring, you are an experienced builder who takes ownership of the pipelines and platforms that power analytics, operational reporting, machine learning, and real‑time product features. You work confidently across batch and streaming architectures, using tools like Airflow, Spark, Glue, Kinesis, and Kafka—while also integrating with Snowflake, AWS‑native services, and legacy sources like DB2. Your work extends beyond implementation: you help shape pipeline architecture, evaluate trade‑offs between latency and scalability, and ensure data is available, reliable, and usable for a variety of internal stakeholders. You understand how to optimize data structures for analytical queries, power feature stores for ML models, and deliver reproducible workflows across test and production environments. You’re responsible for designing and delivering full‑stack data workflows across ingestion, transformation, validation, and observability. You build durable, testable code in Python and SQL, and leverage infrastructure‑as‑code and CI/CD practices to manage deployment and change. You use AI tools to speed up routine development, identify potential issues early, and assist in testing and documentation—while maintaining a critical eye for correctness and security. You work directly with stakeholders from Data Science, BI, Finance, and Product, translating business and analytical needs into technical deliverables. You help clarify scope, identify technical constraints, and proactively communicate trade‑offs and timelines. You also mentor junior engineers, review designs, and raise the team’s bar for quality and ownership. What You’ll Do Design, implement, and maintain secure and scalable pipelines across AWS (e.g., Glue, Lambda, Step Functions), Snowflake, DB2, and streaming platforms like Kafka or Kinesis Develop and optimize data models, schemas, and transformations to support downstream analytics, ML, and reporting Operate orchestration tools such as Airflow to coordinate complex workflows and manage SLAs Use AI tools to assist with coding, test scaffolding, data profiling, and documentation—ensuring results are validated and safe Collaborate directly with BI, ML, and Finance teams to clarify requirements and deliver business‑impacting solutions Troubleshoot and resolve issues in production pipelines, improving system observability, data quality checks, and alerting Mentor junior engineers and contribute to team design reviews, engineering practices, and technical planning Requirements Strong experience with Snowflake, DB2, and AWS data services (e.g., Glue, S3, Lambda, Redshift) Proficient in Python and SQL with experience in data pipeline frameworks, orchestration, and distributed compute (e.g., Spark) Familiarity with streaming patterns using Kafka or Kinesis Experience designing data models for BI, operational analytics, and ML feature stores Effective use of AI tools in development and testing workflows Proven ability to translate stakeholder needs into scalable data systems Comfortable mentoring others and contributing to design reviews and system evolution What We Will Give You Competitive annual salary ranging from $100,000 to $120,000, reflective of experience and impact. Comprehensive benefits package, including extended health, dental, and vision coverage — with 100% of monthly premiums covered by the Spring. GRSP matching program to support your long‑term financial goals. Transit‑Friendly Employer (Transit allowance). A modern, collaborative workspace in the heart of downtown Vancouver. Ongoing career growth opportunities Thank you for your interest We appreciate your time and look forward to reviewing your application #J-18808-Ljbffr