✦ Luna Orbit — Data & Analytics

Senior Lead Data Engineer (Enterprise Platforms Technology)

at Capital One Financial

📍 McLean, VA Unknown 💰 $229K – $262K USD / year Posted March 27, 2026
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Position Details

Salary $229K – $262K USD / year
Type Full-Time
Experience senior
Exp. Years 6+ years
Education Bachelor's in Computer Science or related field
Category Data & Analytics

About this role

This role focuses on developing and maintaining data pipelines, working with NoSQL databases, and optimizing data systems in a cloud environment to support enterprise analytics and real-time processing.

Key Responsibilities

  • Build and optimize data pipelines
  • Manage NoSQL databases
  • Ensure data security and governance
  • Support real-time streaming
  • Collaborate on cloud migration

Technical Overview

The technical environment includes Python, SQL, Snowflake, Databricks, AWS, Spark, Kafka, DynamoDB, MongoDB, Cassandra, emphasizing scalable data architecture and real-time data streaming.

Ideal Candidate

The ideal candidate is a senior data engineer with over 6 years of experience in building data pipelines, working with NoSQL databases like Mongo and Cassandra, and leveraging cloud platforms such as AWS and Snowflake. They should be skilled in data governance and real-time data processing.

Must-Have Skills

PythonSQLSnowflakeDatabricksAWSAmazon Web ServicesSparkKafkaMongoCassandraDynamoDBData pipelinesData modelingData qualityData governance

Nice-to-Have Skills

SparkKafkaMongoCassandraDynamoDBOpen Source RDBMSNoSQLCloud computing

Tools & Platforms

SnowflakeDatabricksAWSAmazon Web ServicesKafkaDynamoDBMongoCassandra

Required Skills

PythonSQLSnowflakeDatabricksAWSAmazon Web ServicesSparkKafkaMongoCassandraDynamoDBData pipelinesData modelingData qualityData governanceOpen Source RDBMSNoSQL

Hard Skills

PythonSQLSnowflakeDatabricksAWSAmazon Web ServicesSparkKafkaMongoCassandraDynamoDBData pipelinesData modelingData qualityData governanceOpen Source RDBMSNoSQL

Soft Skills

collaborativeproblem-solvingcommunicationmentoringteamworkadaptability

Industry & Role

Industry Financial Services / Banking / Fintech
Job Function Develop and manage enterprise data pipelines and systems
Role Subtype Data Engineer
Tech Domains Python, SQL / PostgreSQL, Amazon Web Services, Snowflake, Databricks, Apache Spark, Kafka, DynamoDB, Mongo, Cassandra

Keywords for Your Resume

Data EngineerPythonSQLSnowflakeDatabricksAWSAmazon Web ServicesSparkKafkaMongoCassandraDynamoDBData pipelinesData modelingData qualityData governancedata engineerpythonsqlsnowflakedatabricksawsamazon web servicessparkkafkadynamodbmongocassandra

Deal Breakers

Less than 6 years of experience, No experience with AWS or Snowflake, Lack of knowledge of NoSQL databases, Bachelor's degree not in a related field

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