Senior Data Engineer | Bankrate

Benefits

Parental leave

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Non-birth-parent leave

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Family-building benefits

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• Adoption assistance: Not verified
• Surrogacy assistance: Not verified

Mental health support

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Relocation assistance

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Childcare support

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Learning budget

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Verification

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Salary

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401(k) match

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Market context

Median wage (BLS OEWS)

$111,944 national median

Projected growth (BLS Employment Projections)

+13.7% - Much faster than average

38% above the BLS national median for data and ml aggregate.

Matched to SOC 15-1252 - Data and ML aggregate by role bucket.

Source: U.S. Bureau of Labor Statistics, OEWS, May 2024 and Employment Projections, 2024-2034.

Schedule

Shift type

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Weekend work

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Application

Cover letter

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Assessment

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Deadline

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Where they hire

State eligibility is not yet verified.

About this role

Senior Data Engineer | Bankrate United States *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. For the Bankrate website click here . Curious how Bankrate fits into Red Ventures? Click here. 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

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