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
Industry-leading medical, dental, and vision health care plans for employees and their dependents
Rejuvenation Policy – Vacation Time Off + 11 holidays + 4 Mental Health Days Off
New Parent Leave for employees with a newborn child or a child placed with them for adoption or foster care
Mental health support
Paid sabbatical for Nerds to recharge, gain knowledge and pursue their interests
Health and Dependent Care FSA and HSA Plan with monthly NerdWallet contribution
Monthly Wellness Stipend, Cell Phone Stipend, and Wifi Stipend
Work from home equipment stipend and co-working space subsidy
Nerd-led group initiatives – Employee Resource Groups for Parents, Diversity, and Inclusion, Women, LGBTQIA, and other communities
Hackathons and team events across all teams and departments
Company-wide events like NerdLove (employee appreciation) and our annual Charity Auction
Our Nerds love to make an impact by paying it forward – Take 8 hours of volunteer time off per quarter and donate to your favorite causes with a company match
401K with company match
Be the first to test and benefit from our new financial products and tools
Financial wellness, guidance, and unlimited access to a Certified Financial Planner (CFP) through Northstar
Disability and Life Insurance with employer-paid premiums
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
communicationcollaborative problem-solvingtechnical leadershipstrategic prioritizationmentoringtransparencyownershipclarity in ambiguitytrust buildinginfluencing best practices