Discover Financial

3 weeks ago

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

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 2 hours agoStatus: Live

Job Summary

Build and support data pipelines for hyper-personalized marketing and messaging experiences, partnering with Agile teams and mentoring other engineers. Lead technical design and development of data movement and distributed computing solutions, using Python, SQL, and cloud data warehousing such as Snowflake and Databricks. Optimize data design for end-user and downstream applications, write well-tested, high-performance code, and stay current with emerging data and AI-enabled technologies.

Location: Virginia

Workplace: Onsite

Employment Type: Full time

Job Function: DevOps, Cloud & Infrastructure

Seniority: Mid level

Key Responsibilities

•Collaborate with Agile teams to design, develop, test, implement, and support technical data movement solutions.
•Lead development with a team focused on data movement, distributed computing, and full-stack systems.
•Use Python and SQL with relational and NoSQL databases plus cloud data warehousing services like Snowflake and Databricks.
•Apply sound data design practices to optimize systems for end users and downstream application consumers.
•Perform unit tests and code reviews to ensure robust, well-tuned performance and participate in mentoring and tech community learning.

Pay and Benefits

Salary: USD 229,900 - 262,400 annually

Key Requirements

•Bachelor’s degree.
•At least 6 years of experience in application development (internship experience does not apply).
•At least 2 years of experience in big data technologies.
•At least 1 year of experience with cloud computing (AWS, Microsoft Azure, or Google Cloud).
•Experience with distributed data/computing tools and/or real-time/streaming data is preferred.

Experience:6+ yearsBig dataDistributed computingData pipelinesData warehousingReal-time/streamingNoSQL

Education:Bachelor's

Skills:CollaborationMentoringProblem-solvingContinuous learningQuality focus

Tech Stack:PythonSQLOpen Source RDBMSNoSQLSnowflakeDatabricksAWSMicrosoft AzureGoogle CloudDynamoDBSparkKafkaETL toolsAWS GlueMapReduceHadoopHiveEMRMySQLMongo

Company Brief

Discover Financial

Industry: Retail Banking

Website

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Discover Financial

3 weeks ago

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

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 2 hours agoStatus: Live

Job Summary

Location: Virginia

Workplace: Onsite

Employment Type: Full time

Job Function: DevOps, Cloud & Infrastructure

Seniority: Mid level

Key Responsibilities

•Collaborate with Agile teams to design, develop, test, implement, and support technical data movement solutions.
•Lead development with a team focused on data movement, distributed computing, and full-stack systems.
•Use Python and SQL with relational and NoSQL databases plus cloud data warehousing services like Snowflake and Databricks.
•Apply sound data design practices to optimize systems for end users and downstream application consumers.
•Perform unit tests and code reviews to ensure robust, well-tuned performance and participate in mentoring and tech community learning.

Pay and Benefits

Salary: USD 229,900 - 262,400 annually

Key Requirements

•Bachelor’s degree.
•At least 6 years of experience in application development (internship experience does not apply).
•At least 2 years of experience in big data technologies.
•At least 1 year of experience with cloud computing (AWS, Microsoft Azure, or Google Cloud).
•Experience with distributed data/computing tools and/or real-time/streaming data is preferred.

Experience:6+ yearsBig dataDistributed computingData pipelinesData warehousingReal-time/streamingNoSQL

Education:Bachelor's

Skills:CollaborationMentoringProblem-solvingContinuous learningQuality focus

Tech Stack:PythonSQLOpen Source RDBMSNoSQLSnowflakeDatabricksAWSMicrosoft AzureGoogle CloudDynamoDBSparkKafkaETL toolsAWS GlueMapReduceHadoopHiveEMRMySQLMongo

Company Brief

Discover Financial

Industry: Retail Banking

Website