Data Engineer 4 (Python, AWS, SQL, GenAI) (Enterprise Platforms Technology)

Capital One; Chicago (IL); On-site; USD 179,000 - 205,000; Full time

Benefits offered by this job

Health benefits

Performance-based incentives

Job summary

Capital One is seeking a Data Engineer 4 to drive a major transformation across our Enterprise Platforms Technology group. You will build scalable, cloud-first data solutions using Python, Spark, Databricks, and Snowflake, collaborating with Agile teams and data scientists.

You will mentor others, shape data engineering patterns for maintainability, and ensure security and compliance across data pipelines. This role requires 4+ years in data engineering and a strong foundation in distributed

Qualifications

• Bachelor's Degree or higher in Computer Science or a related quantitative field.
• At least 4 years of experience in application development.
• At least 2 years of experience in distributed data.
• At least 2 years of experience with SQL.
• At least 2 years of experience in 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 end-to-end data solutions.

Responsibilities

• Collaborate with Agile teams to design, develop, test, implement, and support technical solutions.
• Influence a team of developers, data analysts and data scientists with ML, distributed microservices, lakehouse, and full-stack systems.
• Use Python and Spark with relational, NoSQL databases and cloud data warehousing (Databricks, Snowflake).
• Mentor other data community members and stay current with data trends and technologies.
• Design and deliver cloud-first data solutions for scalable capabilities and impact.

Skills

Python

Spark

Education

Bachelor's degree in CS or related field

Tools

Databricks

Snowflake

AWS

Job description

Data Engineer 4 (Python, AWS, SQL, GenAI) (Enterprise Platforms Technology) Do you love building and pioneering in the technology space? Do you enjoy solving complex business problems in a fast-paced, collaborative, inclusive and iterative delivery environment? At Capital One, you'll be part of a big group of makers, breakers, doers and disruptors who solve real problems and meet real customer needs. 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.

Team: The Marketing and Messaging team is responsible for delivering hyper-personalized messages and experiences that will delight the customer, attract prospects and drive increasing business value. The team builds scalable platforms that deliver omnichannel messages in owned and paid Adtech channels.

What You’ll Do:

• Collaborate with and across Agile teams to design, develop, test, implement, and support technical solutions in full-stack development tools and technologies
• Influence a team of developers, data analysts and data scientists with deep experience in machine learning, distributed microservices, lakehouse architecture, and full-stack systems
• Utilize programming languages such as Python and Spark, along with open-source relational and NoSQL databases, and cloud-based data warehousing platforms including Databricks and Snowflake
• Share your passion for staying on top of trends in data, experimenting with and learning new technologies, participating in internal and external technology communities, and mentoring other members of the data community
• 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 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
• Implement data security standards, including encryption at rest/transit and fine-grained access control, ensuring compliance with data privacy regulations

Basic Qualifications:

• 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

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

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

The minimum and maximum full‑time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting.

Salaries for part‑time roles will be prorated based upon the agreed upon number of hours to be regularly worked.

McLean, VA: $197,300 - $225,100 for Data Engineer 4

Riverwoods, IL: $179,400 - $204,700 for Data Engineer 4

Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter.

This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.

• Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well‑being.
• Learn more at the Capital One Careers website.

Eligibility varies based on full or part‑time status, exempt or non‑exempt status, and management level.

No agencies please.

Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non‑discrimination in compliance with applicable federal, state, and local laws.

Capital One promotes a drug‑free workplace.

Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23‑A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901‑4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.

For technical support or questions about Capital One's recruiting process, please send an email to [e-mail].

At Capital One, we’re building a leading information‑based technology company. Still founder‑led by Chairman and Chief Executive Officer Richard Fairbank, Capital One is on a mission to help our customers succeed by bringing ingenuity, simplicity, and humanity to banking. We measure our efforts by the success our customers enjoy and the advocacy they exhibit.