Data Engineer 4 – ERM Transformation

Capital One

. Collaborate with Agile teams to design, develop, test, implement, and support technical solutions using full-stack development tools and technologies .

Posted 10/14/2026full-timeUnited StatesMid-LevelSenior💰 $179,400 - $245,600 per yearWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in full-stack development, data pipeline design, and cloud data solutions, with a strong focus on Python, SQL, and distributed data systems. Proficient in implementing data security standards and collaborating effectively with cross-functional teams to deliver robust data solutions.

Highest-signal resume keywords

Full-Stack DevelopmentData Pipeline DesignPython ProgrammingCloud Data SolutionsData Warehousing

ATS Keywords

Tailor your resume

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills

PythonSQLScalaData Pipeline DesignData ModelingMachine LearningDistributed MicroservicesNoSQL DatabasesData Security StandardsAgile Development

Soft Skills

CollaborationMentoringCommunication

Tools & Technologies

DatabricksSnowflakeEMRSparkGlueAirflowDynamoDBMongoDBCassandraRedshift

Industry Keywords

Cloud ComputingData EngineeringData ObservabilityData OrchestrationLakehouse Architecture

Tech Stack

Tools & technologies

AirflowAmazon RedshiftAWSAzureCassandraCloudDynamoDBJavaMicroservicesMongoDBNoSQLPythonScalaSparkSplunkSQL

About the role

Key responsibilities & impact

Collaborate with Agile teams to design, develop, test, implement, and support technical solutions using full-stack development tools and technologies
Influence developers, data analysts, and data scientists with experience in machine learning, distributed microservices, lakehouse architecture, and full-stack systems
Utilize Python and Spark, open-source relational and NoSQL databases, and cloud-based data warehousing platforms including Databricks and Snowflake
Stay current with data trends, experiment with and learn new technologies, participate in technology communities, and mentor data community members
Collaborate with product managers and software engineers to deliver robust cloud-first data solutions
Independently design, build, and deliver cloud data solutions and applications
Architect and enforce common data engineering design patterns across data platforms and pipelines
Communicate technical concepts and data outcomes to internal and external stakeholders
Design and build scalable, resilient, and operationally efficient data pipelines and platforms
Implement data security standards, including encryption at rest and in transit and fine-grained access control

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 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
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
Capital One will not sponsor a new applicant for employment authorization or provide immigration-related support for this position

Benefits

Comp & perks

Performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI)
Comprehensive, competitive, and inclusive health, financial and other benefits supporting total well-being
Reasonable accommodations for applicants who require them
Equal opportunity and non-discrimination protections
Drug-free workplace