Senior Data Engineer, AWS, Snowflake, Python, Spark

Capital One

full-time

Posted on: 10/15/2025

Location Type: Office

Location: McLean • Virginia • 🇺🇸 United States

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💰 $158,600 - $181,000 per year

Senior

Amazon RedshiftAWSAzureCassandraCloudHadoopJavaKafkaLinuxMapReduceMicroservicesMySQLNoSQLOpen SourcePythonRDBMSScalaShell ScriptingSparkSQLUnix

About the role

Collaborate with Agile teams to design, develop, test, implement, and support technical solutions
Work with developers experienced in machine learning, distributed microservices, and full stack systems
Utilize programming languages like Java, Scala, Python, and Open Source RDBMS, NoSQL databases, and AWS data warehousing services such as Redshift and Snowflake
Stay on top of tech trends, experiment with new technologies, and mentor other engineers
Collaborate with digital product managers to deliver robust cloud-based solutions
Perform unit tests and conduct reviews to ensure code quality and performance.

Bachelor’s Degree
At least 3 years of experience in application development
At least 1 year of experience in big data technologies
5+ years of experience in application development including Python, SQL, Scala, or Java
2+ years of experience with a public cloud (AWS, Microsoft Azure, Google Cloud)
3+ years experience with Distributed data/computing tools (MapReduce, Hadoop, Hive, EMR, Kafka, Spark, Gurobi, or MySQL)
2+ year experience working on real-time data and streaming applications
2+ years of experience with NoSQL implementation (Mongo, Cassandra)
2+ years of data warehousing experience (Redshift or Snowflake)
3+ years of experience with UNIX/Linux including basic commands and shell scripting
2+ years of experience with Agile engineering practices.

Benefits

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

JavaScalaPythonSQLNoSQLAWSRedshiftSnowflakeMapReduceHadoop

collaborationmentoringcode qualityperformance review

Bachelor's Degree