Vantage - Senior Data Engineer
Requirements
• 5+ years of experience working in data engineering, big data, and/or distributed systems for SaaS (Software as a Service) products. • Proficiency with Python, Django, and SQL. • Hands-on experience using Snowflake to build ETL/ELT pipelines, data-warehousing, and analysis. • Hands-on experience using Great Expectations to test and validate data quality, (or a similar data testing tool). • Hands-on experience with data modelling, data warehousing, and distributed systems. • Experience with privacy-compliant data processing (GDPR, CCPA) for advertising/retail media use-cases. • Track record of successful collaboration with other engineering and product teams. • Familiarity with how to manage real-time streaming data using tools such as Kafka, Kinesis, and/or Pub/Sub. • Bonus: Hands-on experience with data lakes, as well as ML (Machine Learning) pipelines. • Bonus
Responsibilities
• Lead architectural conversations and guide the development of our data infrastructure to ensure the availability of high-quality, trustworthy data. • Oversee the processing and transformation of data within our systems, and ensure proper data hygiene is maintained for downstream applications. • Write maintainable Python code to deliver high-quality, scalable data management solutions. • Document new and existing features clearly and effectively to support team alignment and aid in future development. • Coach and develop the broader Measurement team to raise collective capability and drive long-term team growth. • Communicate with stakeholders across the organization to align expectations and ensure transparency regarding data infrastructure and management. • For a closer look at what we do, our culture, and our benefits, check out our about us and careers pages. • Remote-First, Based in TorontoVantage is proudly headquartered in Toronto, but we’re a remote-first team spread across North America (and beyond). Our flexible work philosophy means team members can thrive from wherever they do their best work—whether that’s from a home office, a local café, or while adding stamps to their passport. With a remote-friendly setup, home office support, and annual company retreats, we stay connected, collaborative, and energized—no matter the time zone. • Remote-First, Based in Toronto • Vantage’s Commitment to Diversity, Equity, and Inclusion
Benefits
• Estimated Base Salary CA$150K – CA$175K • Please note that the salary range mentioned in this job description should serve simply as a guide. The final compensation offered may vary based on a variety of factors including a candidate’s experience, skills, budget, and location. • Vantage is committed to providing fair, equitable, and competitive compensation. We regularly benchmark our salaries within the SaaS industry and across relevant geographies to ensure our pay practices remain market aligned. • Upload your resume here to autofill key application fields. • Drop your resume here! • Parsing your resume. Autofilling key fields... • or drag and drop here • Please share with us how many years of experience you've spent as a dedicated Data Engineer working on SaaS products.
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