Staff Data Engineer

October 16

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NerdWallet

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NerdWallet is on a mission to help provide clarity for consumers and SMBs so they can make financial decisions with confidence. We work hard to cultivate an award-winning culture in which our Nerds can realize this mission, and we pride ourselves on the programs we’ve created to positively impact the lives of our consumers, our Nerds, and our wider world.

501 - 1000 employees

Founded 2009

💰 Secondary Market on 2021-05

📋 Description

• 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