Data Engineer, AI Platforms
OpenVPN Inc.
BigQueryCloudJavaPostgresPythonSQL
Staff Data Engineer
NerdWallet
full-time
Posted on:
Location Type: Remote
Location: Remote • 🇨🇦 Canada
Visit company websiteSalary
💰 CA$162,000 - CA$272,000 per year
Job Level
Lead
Tech Stack
AirflowAWSKafkaPythonSQL
About the role
- Lead the design, development, and maintenance of business-critical data assets, ensuring they are accurate, reliable, and aligned with evolving business priorities
- Drive technical innovation and process excellence, evaluating emerging technologies and implementing scalable, efficient solutions that improve data pipeline performance and reliability
- Tackle complex technical challenges - balancing scalability, security, and performance - while providing clear rationale for architectural decisions and aligning outcomes across teams
- Ensure data pipeline reliability and observability, proactively identifying and resolving issues, investigating anomalies, and improving monitoring to safeguard data integrity
- Build trust and alignment across cross-functional teams through transparent communication, collaborative problem-solving, and a deep understanding of partner needs
- Bring clarity and direction to ambiguity, taking ownership of initiatives that span multiple domains or teams, and providing technical leadership to ensure successful delivery
- Prioritize work strategically, balancing business impact, risk, and execution to drive measurable outcomes that support organizational goals
- Act as a trusted technical advisor and thought leader, shaping the team’s long-term architecture and influencing best practices
- Foster a culture of technical excellence and continuous learning, mentoring engineers and championing modern data engineering practices, including AI and automation-enabled solutions
Requirements
- 7+ years of relevant professional experience in data engineering
- 5+ years of experience with AWS, Snowflake, DBT, Airflow
- Advanced level of proficiency in Python and SQL
- Working knowledge of relational databases and query performance tuning (SQL)
- Working knowledge of streaming technologies such as Storm, Kafka, Kinesis, and Flume
- Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field (or equivalent professional experience)
- Advanced level of proficiency applying principles of logical thinking to define problems, collect data, establish facts, and draw valid conclusions
- Experience designing, building and operating robust data systems with reliable monitoring and logging practices
- Strong communication skills, both written and verbal, with the ability to articulate information to team members of all levels and various amounts of applicable knowledge throughout the organization
Benefits
- Monthly Healthcare Stipend
- Rejuvenation Policy – Vacation Time Off + You will receive the official public holidays in your province + 4 Mental Health Days Off
- Paid sabbatical for Nerds to recharge, gain knowledge and pursue their interests
- Monthly Wellness Stipend, Wifi Stipend, and Cell Phone Stipend
- Work from home equipment stipend
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
data engineeringPythonSQLAWSSnowflakeDBTAirflowstreaming technologiesrelational databasesquery performance tuning
Soft skills
communication skillscollaborative problem-solvingtechnical leadershipstrategic prioritizationmentoringtransparencyownershipclarity in ambiguitytrust buildinginfluencing best practices
Certifications
Bachelor’s degree in Computer ScienceMaster’s degree in Computer ScienceBachelor’s degree in EngineeringMaster’s degree in Engineering
