✦ Luna Orbit — Data & Analytics

Senior Data Engineer

at Capital One Financial

📍 2 Locations Unknown 💰 $161K – $184K USD / year Posted March 14, 2026
Salary $161K – $184K USD / year
Type Full-Time
Experience mid
Exp. Years 3-5 years
Education Not specified
Category Data & Analytics

Support Capital One's data transformation initiatives by designing and developing large-scale data pipelines and analytics solutions using big data technologies.

  • Design data pipelines
  • Develop big data solutions
  • Support real-time data processing
  • Collaborate with data teams
  • Optimize data storage

Developing data pipelines with Java, Scala, Python, and leveraging cloud data warehousing solutions like Redshift and Snowflake. Utilizing Hadoop, Spark, Kafka for streaming and batch processing.

The ideal candidate is a mid-level data engineer with 3+ years of experience in big data technologies, proficient in Python, Scala, Java, and cloud-based data warehousing solutions like Redshift and Snowflake. They should have strong analytical skills and experience with streaming and real-time data processing.

Application developmentBig data technologiesPythonSQLScalaJava
NoSQL databasesData warehousingStreaming applicationsReal-time data processingAgile practices
RedshiftSnowflakeMongoDBCassandraHadoopHiveSparkKafka
JavaScalaPythonRedshiftSnowflakeMongoDBCassandraHadoopHiveSparkKafkaMySQLMapReduceEMRGurobiShell scriptingUnix/Linux
JavaScalaPythonRedshiftSnowflakeMongoDBCassandraHadoopHiveSparkKafkaMySQLMapReduceEMRGurobiShell scriptingUnix/Linux
CollaborationProblem-solvingMentoringCommunicationTeamworkAdaptability
Industry Financial Services / Banking
Job Function Building and maintaining large-scale data infrastructure and analytics pipelines
Role Subtype Data Engineer
Tech Domains Python, Scala, Java, Redshift, Snowflake, MongoDB, Cassandra, Hadoop, Spark
data engineerbig dataPythonScalaJavaRedshiftSnowflakeMongoDBCassandraHadoopSparkKafkaEMRMapReduceGurobiShell scriptingUnix/Linuxapplication developmentdata warehousingreal-time datastreaming applicationsData EngineerBig Data

Lack of experience with big data tools, No proficiency in Python or Scala, No experience with data warehousing, Inability to work with cloud data platforms

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