Data Engineer 5, Python, SQL, Databricks, Snowflake

Capital One

. Develop the technical vision, architectural design, and implementation of an AI-enabling data ecosystem .

Posted 9/24/2026full-timeUnited StatesMid-LevelSenior💰 $209,000 - $286,200 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in architecting and implementing AI-enabling data ecosystems, with a strong focus on building scalable data pipelines and infrastructure for machine learning workflows. Proven ability to lead technical teams and optimize data solutions for performance and reliability.

Highest-signal resume keywords

AI Data Ecosystem DevelopmentData Pipeline ArchitectureSQL ProficiencyPython ProgrammingData Modeling

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Application DevelopmentDistributed Data ExperienceData Pipeline DesignRelational Database SystemsNon-Relational Database SystemsData ClassificationPrivacy SafeguardsAutomated Lineage TrackingFeature Store DevelopmentPredictive ML Models

Soft Skills

Technical LeadershipMentoring

Certifications & Qualifications

Bachelor's Degree in Computer Science

Industry Keywords

AI WorkflowsRAG PipelinesCross-Cloud Data PipelinesQuery Performance OptimizationData Infrastructure

Tech Stack

Tools & technologies

CloudJavaPythonScalaSQL

About the role

Key responsibilities & impact

Develop the technical vision, architectural design, and implementation of an AI-enabling data ecosystem
Architect, build, and scale reliable, latency-optimized batch and real-time data pipelines for structured, semi-structured, and unstructured data
Design data infrastructure supporting LLM workflows, RAG pipelines, and predictive ML models
Define the architectural blueprint for the Top of House AI data layer
Serve as a hands-on technical lead and guide junior and mid-level engineers on coding standards, design patterns, and engineering excellence
Implement data classification, privacy safeguards, and automated lineage tracking for AI models and training datasets
Build and maintain scalable feature stores for real-time inferencing and offline model training
Audit and optimize cross-cloud data pipelines, query performance, and storage infrastructure
Partner with Technical Program Managers, Data Scientists, Top of House leads, and C-suite stakeholders to turn executive data needs into production-ready solutions

Requirements

What you’ll need

Bachelor's Degree or higher in Computer Science or a related quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Engineering)
At least 6 years of experience in application development; internship experience does not apply
At least 4 years of experience in distributed data
At least 4 years of experience with SQL
At least 4 years of experience programming with Python, Java, or Scala
At least 4 years of experience designing and developing data pipelines
At least 2 years of experience in data modeling and designing end-to-end data solutions using relational and non-relational database systems
Ability to work with the listed posting locations: Richmond, VA; McLean, VA; New York, NY; Plano, TX; or Riverwoods, IL

Benefits

Comp & perks

Performance-based incentive compensation, which may include cash bonuses and/or long-term incentives (LTI)
Comprehensive, competitive, and inclusive health, financial, and other benefits supporting total well-being
Employment authorization sponsorship consideration for a new qualified applicant