Data Engineer

At Nerd Wallet, we’re on a mission to bring clarity to all of life’s financial decisions and every great mission needs a team of exceptional Nerds. We’ve built an inclusive, flexible, and candid culture where you’re empowered to grow, take smart risks, and be unapologetically yourself (cape optional). Whether remote or in-office, we support how you thrive best. We invest in your well-being, development, and ability to make an impact because when one Nerd levels up, we all do.

Data engineers are the builders behind the insights that drive smarter decisions. They design and scale reliable data pipelines and models that power analytics, experimentation, and strategic decision-making across the company. As a Staff Data Engineer, you’ll tackle complex, cross-functional data challenges—partnering closely with stakeholders across product, engineering, and business teams. You’ll combine strong technical expertise with clear communication and thoughtful collaboration to ensure our data systems are not only technically sound, but also deeply aligned with Nerd Wallet’s strategic goals.

As part of our embedded data model, you’ll work directly within a product vertical - shaping the data that drives business decisions, product innovation, and user experiences. This is a unique opportunity to see your work translate into real-world outcomes, accelerating Nerd Wallet’s mission through data that’s closer than ever to the business.

You’ll design, develop, and maintain data systems and pipelines that serve as the foundation for analytics and product innovation in a fast-paced, ever-evolving environment. The right candidate thrives in ambiguity—comfortable toggling between projects, adapting to shifting priorities, and leading through change. You’ll elevate the team’s impact by leveraging both your technical depth and your ability to influence, mentor, and foster a culture of innovation, reliability, and continuous improvement.

This role sits within Core Engineering and reports to a Senior Manager of Data Engineering. You’ll join a passionate team of Nerds who believe clean, scalable data is at the heart of helping consumers make smarter financial decisions.

• 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

• 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)

• Advanc…