Data Engineer 4 (Manager, IC)

Information Technology Senior Management Forum; Chicago (IL); On-site; USD 179,000 - 205,000; Full time

Job summary

Information Technology Senior Management Forum in Chicago, IL seeks a Data Engineer 4 (Manager, IC) to build cloud-first data solutions and lead engineering efforts across Agile teams. You will design data patterns, pipelines, and ensure security and compliance.

You will mentor developers, data analysts and data scientists, collaborate with product managers, and deliver scalable, resilient data platforms that support millions of users and complex analytics.

Qualifications

• Bachelor’s degree in Computer Science or a related quantitative field.
• Minimum 4 years of application development experience.
• Minimum 2 years in distributed data.
• Minimum 2 years with SQL.
• Minimum 2 years programming in Python, Java, or Scala.
• Minimum 2 years in data pipeline design and development.
• At least 1 year in data modeling and end-to-end data solutions.

Responsibilities

• Collaborate with Agile teams to design, develop, test, implement, and support data solutions.
• Lead a team of developers, data analysts, and data scientists across ML and distributed systems.
• Use Python, Spark, Databricks, and Snowflake for data pipelines and warehousing.
• Mentor data community members and stay current with data trends.
• Deliver cloud-first data solutions that scale and are secure.

Skills

Python

Spark

SQL

NoSQL

Databricks

Snowflake

Relational databases

Agile

Machine learning

Distributed microservices

Lakehouse architecture

Encryption at rest

Encryption at transit

Fine-grained access control

Education

Bachelor’s Degree in Computer Science or related field

Tools

EMR

Glue

Databricks

Kubernetes

Job description

The Data Engineer 4 (Manager, IC) role is a cloud-first engineering position focused on building and delivering data solutions, while leading technical execution across Agile teams.

Location

Chicago, IL (onsite)

Compensation

USD 179,400 - 204,700 per year

Role Summary

As a Data Engineer 4 (Manager, IC), you will build and deliver cloud-first data solutions and lead engineering efforts across Agile teams. The work includes designing and enforcing data engineering patterns, building scalable pipelines, and implementing security and compliance standards.

Responsibilities

• Collaborate with and across Agile teams to design, develop, test, implement, and support technical solutions across full-stack development tools and technologies
• Influence a team of developers, data analysts, and data scientists with experience in machine learning, distributed microservices, lakehouse architecture, and full-stack systems
• Use programming languages including Python and Spark, along with open-source relational and NoSQL databases and cloud data warehousing platforms such as Databricks and Snowflake
• Stay current with data trends by experimenting with and learning new technologies, participating in internal and external technology communities, and mentoring members of the data community
• Partner with product managers and software engineers to deliver robust cloud-first data solutions that support impactful experiences for millions of Americans
• Independently design, build, and deliver cloud data solutions and applications with little or no support from supervisors or managers
• Architect and enforce common data engineering design patterns to support code quality, maintainability, and reusability across data platforms and pipelines
• Design and build data pipelines and platforms with a focus on scalability, resilience, and operational efficiency, ensuring performance under increasing data volume and business demands
• Implement data security standards, including encryption at rest/transit and fine-grained access control, to ensure compliance with data privacy regulations
• Serve as an ambassador for the data engineering team by communicating technical concepts and data outcomes clearly to internal and external stakeholders

Requirements

• Bachelor’s Degree or higher in Computer Science or a related quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Engineering)
• At least 4 years of experience in application development (internship experience does not apply)
• At least 2 years of experience in distributed data
• At least 2 years of experience with SQL
• At least 2 years of experience with one programming language (Python, Java, or Scala)
• At least 2 years of experience in data pipeline design and development
• At least 1 year of experience in data modeling and designing end-to-end data solutions using both relational and non-relational database systems

Technologies

• Python
• Spark
• Databricks
• Snowflake
• SQL
• NoSQL databases
• Relational databases
• Agile
• Machine learning
• Distributed microservices
• Lakehouse architecture
• Encryption at rest
• Encryption at transit
• Fine-grained access control

Preferred Qualifications

• 7+ years of experience in application development with demonstrated proficiency in Python, SQL, Scala, or Java
• 4+ years of hands-on experience designing, deploying, and operating data workloads in at least one public cloud environment (AWS, Microsoft Azure, or Google Cloud)
• 4+ years of experience building or supporting distributed data or compute workloads using tools such as EMR, Spark, Glue, or Databricks
• 4+ years of experience designing, implementing, and operating real-time or streaming data pipelines
• 2+ years of experience working on data observability (e.g., Monte Carlo, Splunk) or data orchestration tools (e.g., Airflow, Dagster)
• 4+ years of experience working with unstructured or semistructured data using NoSQL databases (e.g., MongoDB, Cassandra, DynamoDB)
• 4+ years of experience designing and supporting data warehousing solutions (e.g., Snowflake, Redshift)
• 2+ years of experience working in an Agile development environment
• 2+ years of experience developing user-centric reusable data products

Immigration Authorization

Capital One will not sponsor a new applicant for employment authorization, or offer any immigration-related support for this position (including H1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN, E-3, and O-1, or other forms of work authorization that require immigration support from an employer).