Senior Software Engineer, Full-Stack (DIT)
NerdWalletAbout the role
At NerdWallet, 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). 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.
We are a moderately sized engineering organization supporting the consumer business unit and its aggressive growth plans. We are looking for a highly motivated Full-Stack back-end and data engineering focused Senior Software Engineer to join the Partner Data Ingestion Engineering team.
If you thrive in a fast-paced environment, enjoy coding, and delivering value, this role is for you. As a Senior Engineer, you'll write extensive code, contribute to architecture and design, and elevate the quality of our deliverables while fostering team ownership of outcomes. We are an agile team practicing Sprints and indexing on continuous improvement and delivery.
This role reports to the Senior Manager, Engineering.
Projects you may be working on in this position include:
Revolutionize Pricing: Lead the transition of pricing inputs from spreadsheets to a custom internal tool, utilizing front-end experience to design and implement a functional UI.
Enable Data Visibility: Design and implement a comprehensive dashboard that delivers real-time, vertical-level data insights for improved decision-making.
Optimize Partner data Ingestions: Build and maintain API and file-based partner ingestion pipelines to streamline data flow.
Streamline Investigations with Automation: Develop innovative solutions to automate manual investigations, empowering stakeholders with self-serve tools to resolve issues faster.
Elevate Data Quality and Alerts: Overhaul and unify the alerting system, implementing advanced data quality checks to drive confidence in analytics.
AI: Leverage AI extensively for innovative solutions and velocity.
Where you can make an impact:
Help business stakeholders make data driven decisions by improving the partner ingestion system that ingests data from hundreds of partners and build pricing engine on top of it.
Use observability and monitoring tools to proactively identify, diagnose, and resolve production issues quickly.
Helping to drive our existing values as a team towards better engineering practices, strong continuous improvement thinking, and failing fast / repairing faster mentality.
Serving as a mentor to the engineers on the team.
Partnering with Management to continuously develop the engineering roadmap for our team.
You are:
Biased to action and are happy to iterate along the way based on what we learn. You tend to believe that time to market is more meaningful than perfection.
Not afraid to fail. We take informed risks and chances, they often work, sometimes they don’t. You learn from those mistakes and incorporate them into how you think in the future.
Aware that “fast” and “quality” are not mutually exclusive. We can deliver high quality, well engineered code fast. You do not cut quality first to meet timelines, you often thoughtfully try to figure out how to do both.
Interested in being a mentor and a teacher to make those around you better. We aren’t perfect, neither are you. You believe that together we are more than the sum of our parts and you expect others to help you to grow and learn too.
Your experience:
Experience: Minimum of 5+ years in software engineering, with a strong background in backend development and distributed systems.
Education: Bachelor’s degree in Computer Science, Engineering, or a related field (or equivalent practical experience).
Technical Skills:
Programming Languages – Proficiency in languages like Python, Java, JavaScript, or others based on the stack.
Experience with front-end frameworks like Next.js, React, or similar.
Tools and Frameworks - Apache Airflow, Snowflake, Montecarlo and Cursor.
Software Development – Strong understanding of software development lifecycle (SDLC) and methodologies (Agile, Scrum, DevOps).
System Design & Architecture – Experienc
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