Bankrate
FinTech
SeniorDataEngineer
Neural analysis suggests this role is
optimal for Senior candidates.
“Senior Data Engineer at Bankrate. Skills: Data science, Data engineering, ML/AI, Business intelligence. Develop and maintain data pipelines. Build and optimize data models”
Industry & Context.
Data analysis; Troubleshooting data issues
What They're Looking For.
Must Have
5+ years of experience
Nice to Have
PhD preferred, GCP Professional Data Engineer certification, AWS Data Analytics certification, Databricks Certified certification, Dbt Certified certification
What You'll Do.
Develop and maintain data pipelines
Build and optimize data models
Design and implement ETL/ELT processes
Develop and deploy machine learning models
Create and maintain BI dashboards and reports
Perform data analysis and generate insights
Collaborate with stakeholders to understand data needs
Ensure data quality and integrity
Stay up-to-date with emerging technologies
How You'll Work.
Team & Collaboration
Cross-functional teams; Stakeholders
Full Job Description
*This role is open to remote or hybrid candidates (East Coast preference), with hybrid being central to our New York, NY or Charlotte area offices. Must be able to work Eastern Standard Time hours. This role is not open to visa sponsorship or transfer of visa sponsorship including those on OPT and STEM-EXT OPT, nor is it available to work corp-to-corp. Bankrate is looking for a Senior Data Engineer to help build and strengthen the data platform that powers analytics and insights for millions of people making smarter financial decisions. As a Senior Data Engineer, you'll build and maintain the data systems that connect our products, analytics, and business teams. You'll take ownership of critical pipelines, contribute to platform improvements, 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. What You’ll Do: Build, maintain, and optimize data pipelines and infrastructure in Databricks and AWS (S3, EC2, Lambda, etc.). Audit and document existing pipelines to identify gaps, improve reliability, and strengthen data quality. Integrate third-party data sources and APIs into the platform, ensuring clean ingestion, transformation, and validation. Partner closely with BI and analytics teams to translate business needs into scalable data models and solutions, bridging the gap between data engineering and the semantic layer. Develop automated workflows for data ingestion, transformation, and validation. Implement 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. Participate in code reviews and contribute to tea
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