Capital One
Data Engineer 4 (Python, AWS, SQL, GenAI) (Enterprise Platforms Technology)
Illinois · Senior · Internship
No sponsorship$197k-$225kDetected 26 days ago
PythonJavaScalaFull-Stack DevelopmentSQLNoSQLMongoDBCassandraDynamoDBSnowflakeRedshiftDatabricksAWSGCPAzureCloud PlatformsRESTMachine LearningSparkAirflowData EngineeringStatisticsCustomer SupportEHR/EMR
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odds of building a lasting career here
61Sponsors, lottery-bound
Cap-exempt (no lottery)0
Sponsors this role88
Entry-level history0
PERM / green-card track0
Lottery odds (Level IV)94
Fits your clock70
Sponsors, but it's cap-subject — you still face the weighted lottery (~61% per draw at Level IV). Good if you win; have a cap-exempt backup on your list.
Lottery odds assume a STEM candidate.
Personalize to your clock →Employer immigration record
from this employer's Department of Labor filings
Green-card filing pattern in this occupation
Context, not a finding about this posting: of this employer's 4 green-card filings in this occupation, 100% were for a worker who already held the job.
Files H-1B transfers
96 transfer filings in the last year, covering 96 workers. Median labor-condition decision: 7 days. An employer that already files transfers is one that can take over an existing H-1B.
Sourced from Department of Labor LCA, PERM and prevailing-wage disclosure data. Employer matching is by name, so figures may be split across an employer's legal entities. Absence of a filing means none appears in our copy of the data, not that none exists.
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About the role
- Do you enjoy solving complex business problems in a fast-paced, collaborative, inclusive and iterative delivery environment?
- In this role, you'll be at the forefront of driving a major transformation across Capital One.
- The minimum and maximum full-time annual salaries for this role are listed below, by location.
Responsibilities
- Collaborate with and across Agile teams to design, develop, test, implement, and support technical solutions in full-stack development tools and technologies
- 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
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
Nice to have
- 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
Compensation
- $197k-$225k
Benefits
- Influence a team of developers, data analysts and data scientists with deep experience in machine learning, distributed microservices, lakehouse architecture, and full-stack systems
- 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
Company info
- 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.
Visa & Work Authorization
- At this time, Capital One will not sponsor a new applicant for employment authorization, or offer any immigration related support for this position (e
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This listing is sourced directly from Capital One's careers page and normalized into a canonical job model.