# Data Engineer 5, Insights Platform

**Company**: Capital One
**Location**: Plano, TX
**Experience**: senior
**Job type**: full-time
**Salary**: $209,000 - $238,500
**Category**: Engineering
**Industry**: Finance

**Apply**: https://capitalone.wd12.myworkdayjobs.com/en-US/Capital_One/job/Plano-TX/Data-Engineer-5--Insights-Platform_R1003328-1?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_54003ced-5c2

## Description

We are seeking Data Engineers who are passionate about marrying data with emerging technologies. In this role, you’ll be at the forefront of driving a major transformation across Capital One.

You will collaborate with and across Agile teams to design, develop, test, implement, and support technical solutions in full-stack development tools and technologies. You will influence a team of developers, data analysts and data scientists with deep experience in machine learning, distributed microservices, lakehouse architecture, and full-stack systems.

Responsibilities:

- Collaborate with product managers and software engineers to deliver robust cloud-first data solutions that drive powerful experiences to help millions of Americans achieve financial empowerment

- Independently design, build and deliver world-class cloud data, API and MCP solutions and applications with little or no support from supervisors or managers

- Architect and enforce common data engineering design patterns to ensure code quality, maintainability, and reusability across data platforms and pipelines

- Serve as an ambassador for the data engineering team, communicating technical concepts and data outcomes clearly to both internal and external stakeholders to drive alignment and shared understanding

- Design and build data pipelines and platforms with a focus on scalability, resilience, and operational efficiency, ensuring robust performance under increasing data volume and business demands

- Serve as a force-multiplier for the team, balancing deep, hands-on technical contribution and innovation with mentoring and elevating the skills of peers and junior engineers

- Lead and execute large-scale, transformative data initiatives from end to end, independently driving critical architectural decisions and evaluating platform choices, such as Snowflake versus Databricks, based on technical and business requirements

Basic Qualifications:

- 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

- 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 at least one of the following languages: 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 both relational and non-relational database systems

Preferred Qualifications:

- Master’s Degree in Computer Science or a related field

- 8+ years of experience in data engineering

- 4+ years of data modeling experience

- 9+ years of experience in application development with demonstrated proficiency in Python, SQL, Scala, or Java

- 5+ years of hands-on experience designing, deploying and operating data workloads in at least one public cloud environment (AWS, Microsoft Azure, or Google Cloud)

- 5+ years of experience building or supporting distributed data or compute workloads using tools such as EMR, Spark, Glue, or Databricks

- 5+ years of experience designing, implementing, and operating real-time or streaming data pipelines

- 3+ years of experience working on data observability (e.g., Monte Carlo, Splunk) or data orchestration tools (e.g., Airflow, Dagster)

- 5+ years of experience working with unstructured or semistructured data using NoSQL databases (e.g., MongoDB, Cassandra, DynamoDB)

- 5+ years of experience designing and supporting data warehousing solutions (e.g., Snowflake, Redshift)

- 3+ years of experience working in an Agile development environment

- 3+ years of experience developing user-centric reusable data products

Benefits:

- Comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being

## Skills

### Required
- Python
- Spark
- SQL
- Java
- Scala
- Databricks
- Snowflake
- machine learning
- distributed microservices
- lakehouse architecture
- full-stack systems

### Nice to have
- Master’s Degree in Computer Science
- data modeling
- public cloud environment
- data observability
- data orchestration tools
- NoSQL databases
- data warehousing solutions
- Agile development environment

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Source: [Apply at capitalone.wd12.myworkdayjobs.com](https://capitalone.wd12.myworkdayjobs.com/en-US/Capital_One/job/Plano-TX/Data-Engineer-5--Insights-Platform_R1003328-1?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)