✦ Luna Orbit — Data & Analytics

Senior Lead Data Engineer (Python, AWS, Spark, Kakfa, SQL, Snowflake, DynamoDB, Databricks, GenAI)

at Capital One Financial

📍 McLean, VA Unknown 💰 $229K – $262K USD / year Posted March 30, 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 involves leading data engineering projects, building data pipelines, and leveraging cloud and AI technologies to support business transformation in the financial sector.

Key Responsibilities

  • Design and develop data pipelines
  • Ensure data quality and governance
  • Collaborate with cross-functional teams
  • Implement cloud-based data solutions
  • Mentor junior engineers

Technical Overview

The technical environment includes Python, SQL, Snowflake, Databricks, AWS, Spark, Kafka, DynamoDB, and GenAI, focusing on scalable data solutions and AI integration.

Ideal Candidate

The ideal candidate is a senior data engineer with at least 6 years of experience in data pipeline development, data modeling, and cloud technologies, particularly AWS and Snowflake. They should be passionate about data quality, governance, and emerging AI technologies.

Must-Have Skills

PythonSQLAWSSnowflakeDatabricksData pipelinesData modelingData qualityData governance

Nice-to-Have Skills

SparkKafkaDynamoDBGenAIOpen Source RDBMSNoSQLCloud computing

Tools & Platforms

SnowflakeDatabricksAWSAmazon Web ServicesKafkaDynamoDB

Required Skills

PythonSQLSnowflakeDatabricksAWSAmazon Web ServicesSparkKafkaDynamoDBGenAIData pipelinesData modelingData qualityData governanceOpen Source RDBMSNoSQL

Hard Skills

PythonSQLSnowflakeDatabricksAWSAmazon Web ServicesSparkKafkaDynamoDBGenAIData pipelinesData modelingData qualityData governanceOpen Source RDBMSNoSQL

Soft Skills

collaborativeproblem-solvingcommunicationmentoringteamworkadaptability

Industry & Role

Industry Financial Services / Banking / Fintech
Job Function Lead data engineering initiatives to support enterprise data needs
Role Subtype Data Engineer
Tech Domains Python, SQL / PostgreSQL, Amazon Web Services, Snowflake, Databricks, Apache Spark, Kafka, DynamoDB

Keywords for Your Resume

Data EngineerPythonSQLSnowflakeDatabricksAWSAmazon Web ServicesSparkKafkaDynamoDBGenAIData pipelinesData modelingData qualityData governanceOpen Source RDBMSNoSQLdata engineerpythonsqlsnowflakedatabricksawsamazon web servicessparkkafkadynamodb

Deal Breakers

Lack of experience with AWS or Snowflake, Less than 6 years of relevant experience, No experience with data governance or quality, Bachelor's degree not in a related field

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