✦ Luna Orbit — Data & Analytics

Lead Data Engineer

at Capital One Financial

📍 McLean, VA Unknown 💰 $197K – $225K USD / year Posted March 19, 2026
Apply Now → ← Browse All Jobs

Position Details

Salary $197K – $225K USD / year
Type Not Specified
Experience mid
Exp. Years 4+ years
Education Not specified
Category Data & Analytics

About this role

This role involves developing and maintaining big data solutions, microservices, and data warehouses in a cloud environment, supporting analytics and data-driven decision making.

Key Responsibilities

  • Develop data pipelines
  • Manage microservices
  • Implement data warehouses
  • Collaborate across cloud platforms
  • Support analytics initiatives

Technical Overview

The technical environment includes Python, SQL, Scala, Java, Redshift, Snowflake, AWS, Azure, GCP, and distributed microservices, emphasizing scalable, cloud-based data architectures.

Ideal Candidate

The ideal candidate is a mid-level data engineer with 4+ years of experience in application development, proficient in Python, SQL, Scala, and Java, with strong knowledge of big data and cloud platforms like AWS, Azure, and GCP.

Must-Have Skills

4+ years in application development2+ years in big data technologies1+ year in cloud computing (AWSAzureGCP)Proficiency in PythonSQLScalaJavaExperience with data warehousing (RedshiftSnowflake)Experience with distributed microservicesExperience with cloud platforms (AWSAzureGCP)

Nice-to-Have Skills

Machine learningOpen Source RDBMSNoSQL databasesUnix/LinuxShell scriptingAgile practices

Tools & Platforms

PythonSQLScalaJavaRedshiftSnowflakeAWSAzureGCPUnix/LinuxShell scripting

Required Skills

PythonSQLScalaJavaRedshiftSnowflakebig datamicroservicescloud computingawsazuregcp

Hard Skills

PythonSQLScalaJavaOpen Source RDBMSNoSQL databasesRedshiftSnowflakeMachine LearningDistributed MicroservicesFull Stack SystemsCloud ComputingAWSMicrosoft AzureGoogle CloudData WarehousingUnix/LinuxShell scriptingAgile engineering practices

Soft Skills

collaborationmentoringcommunicationproblem-solvingteamwork

Industry & Role

Industry Financial Services
Job Function Develop and optimize big data and cloud-based data solutions
Role Subtype Data Engineer
Tech Domains Python, SQL / PostgreSQL, Scala, Java, Amazon Web Services, Microsoft Azure, Google Cloud Platform, Data Warehousing, Distributed Microservices

Keywords for Your Resume

pythonsqlscalajavaredshiftsnowflakebig datadistributed microservicescloud computingawsazuregcpmachine learningunix/linuxshell scriptingapplication developmentdata warehousingagile practicescollaborationmentoring

Deal Breakers

Less than 4 years of experience, No experience with cloud platforms or data warehousing, Lack of proficiency in core programming languages

Apply for this Position →

Get matched to jobs like this

Luna finds roles that fit your skills and career goals — no endless scrolling required.

Create a Free Profile