✦ Luna Orbit — Data & Analytics

Senior Lead Data Engineer (Enterprise Platforms Technology)

at Discover Financial Services

📍 McLean, VA Unknown 💰 $229K – $262K USD / year Posted March 26, 2026
Salary $229K – $262K USD / year
Type Full-Time
Experience lead
Exp. Years 6+ years
Education Bachelor's Degree
Category Data & Analytics

This role involves leading data engineering initiatives focused on building scalable data pipelines, ensuring data quality, and managing large data warehouses in a cloud environment.

  • Design and develop data pipelines
  • Ensure data quality and governance
  • Lead data warehouse projects
  • Implement real-time data streaming
  • Mentor data engineering teams

The technical environment includes Python, SQL, Spark, ETL tools, AWS Glue, NoSQL databases like MongoDB and Cassandra, Snowflake, and Databricks for distributed data processing.

The ideal candidate is a senior data engineer with extensive experience in building data pipelines, data modeling, and working with big data technologies in cloud environments, with leadership skills to mentor teams.

Bachelor's Degree6+ years application developmentExperience with big data technologiesExperience with cloud computingData pipeline developmentData modelingData quality and governance
Master's DegreeExperience with PythonSQLSparkETL toolsAWS GlueExperience with NoSQL databasesReal-time data streamingData analytics tools
PythonSQLSparkETL toolsAWS GlueMongoDBCassandraSnowflakeDatabricks
PythonSQLSparkETL toolsAWS GlueNoSQLMongoDBCassandraData modelingData qualityData governanceData pipelinesData warehousingSnowflakeDatabricksBig DataDistributed computing
PythonSQLSparkETL toolsAWS GlueNoSQLMongoDBCassandraData modelingData qualityData governanceData pipelinesData warehousingSnowflakeDatabricksBig DataDistributed computing
CollaborationMentoringProblem-solvingTeam leadershipCommunication
Industry Financial Services, Banking
Job Function Leading data pipeline development and data management in a cloud-based environment
Role Subtype Data Engineer
Tech Domains Python, SQL, Spark, ETL tools, AWS Glue, MongoDB, Cassandra, Snowflake, Databricks
data engineerbig datadata pipelinesETLAWS GluePythonSQLSparkNoSQLMongoDBCassandraData modelingData qualityData governanceData warehousingSnowflakeDatabricksdistributed computingreal-time databig data technologies

Less than 6 years experience, No experience with big data tools, Lack of cloud data platform experience, No experience with data governance, No experience with data pipelines

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