Staff Data Engineer

Red Ventures • Charlotte, NC

34d • $130,000 - $200,000

About The Position

Bankrate.com is looking for a Staff Data Engineer to shape the next generation of our data platform—powering analytics and insights that help millions of people make smarter financial decisions. As a Staff Data Engineer, you’ll design and scale the data systems that connect our products, analytics, and business teams. You’ll guide architecture, mentor engineers, and collaborate across disciplines to deliver reliable, high-performing data solutions that drive measurable impact. We’re building on Databricks and AWS using Terraform, so experience with these technologies is a major plus. You’ll work in a modern, cloud-native data environment focused on accessibility, performance, and continuous improvement. Bankrate is redefining the future of financial decision-making. For nearly five decades, we’ve empowered tens of millions of consumers to make smarter financial choices and helped hundreds of leading financial institutions grow. Today, we’re evolving from a marketplace into a next-generation technology platform—underpinned by proprietary data, AI-driven innovation, and deep enterprise integrations. With our track record of delivering consumers quantifiably better offers—for example, on home loans where we lead the market—Bankrate stands at the center of the $60B U.S. financial services acquisition opportunity. As we expand through omnichannel marketing and strategic partnerships, and launch unique consumer product applications, we’re building a more efficient, personalized, and connected financial ecosystem—one grounded in trust. Join us as we transform five decades of credibility into the next era of financial technology.

Requirements

• 7+ years of data-engineering experience designing and deploying large-scale data solutions.
• Deep expertise in SQL and strong software engineering skills in a modern language such as Python or Scala, with an emphasis on building reliable, performant data pipelines.
• Hands-on experience with Databricks, Spark, and AWS cloud services.
• Strong understanding of data modeling, ELT/ETL design, and distributed data systems.
• Familiarity with CI/CD and infrastructure-as-code tools (e.g., GitHub Actions, Terraform, Airflow).
• Experience supporting BI and analytics platforms such as Looker or similar.
• Ability to balance technical depth with business context, clearly communicating complex ideas to diverse audiences.
• Track record of mentorship, collaboration, and continuous improvement.
• No formal degree required—relevant professional experience and technical excellence are what matter most.

Nice To Haves

• Experience modernizing or migrating large-scale data environments to Databricks or AWS.
• Familiarity with data governance, cataloging, and access-control frameworks.
• Exposure to financial, consumer, or content data domains.
• Proven success influencing technical direction and driving adoption of best practices across teams.

Responsibilities

• Design, build, and optimize data pipelines and infrastructure in Databricks and AWS (S3, EC2, Lambda, etc.).
• Partner with analytics and product teams to translate business needs into scalable data models and solutions.
• Develop automated workflows for data ingestion, transformation, and validation.
• Implement and promote best practices in data architecture, security, observability, and governance.
• Collaborate with data stakeholders on privacy-safe data sharing solutions, including clean-room environments and other secure data exchange methods.
• Lead design and code reviews, mentor engineers, and raise technical standards across teams.
• Drive platform improvements that enhance performance, reliability, and cost efficiency.
• Contribute to long-term data strategy, evaluating new tools and technologies to advance our data ecosystem.

Benefits

• Health Insurance Coverage (medical, dental, and vision)
• Life Insurance
• Short and Long-Term Disability Insurance
• Flexible Spending Accounts
• Holiday Pay
• 401(k) with match
• Employee Assistance Program
• Paid Parental Bonding Benefit Program
• Flexible Paid Time Off (PTO): We believe time to rest and recharge is essential. That’s why we offer a generous and flexible PTO policy. Full-time employees accrue 20 days of PTO for a full calendar year annually, with an increase to 25 days after five years of service.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed
• Number of Employees: 1,001-5,000 employees