Discover Financial

1 week ago

Lead Data Engineer

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI

Last checked: 1 hour agoStatus: Live

Job Summary

Build and support full-stack data engineering solutions in Agile teams, collaborating with developers experienced in machine learning, distributed microservices, and systems. Use Java, Scala, Python, open-source databases, and cloud data warehousing services (e.g., Redshift and Snowflake) to deliver robust cloud-based experiences. Perform unit testing, code reviews, and performance tuning, while mentoring others and staying current with emerging technology trends.

Location: Chicago

Workplace: Onsite

Employment Type: Full time

Job Function: Administration & Executive Assistance

Seniority: Mid level

Key Responsibilities

•Collaborate with Agile teams to design, develop, test, implement, and support full-stack technical solutions.
•Work with developers experienced in machine learning, distributed microservices, and full-stack systems.
•Use programming languages and database technologies plus cloud data warehousing services to build data solutions.
•Stay current with technology trends, experiment with new technologies, and participate in internal/external communities.
•Perform unit tests, code reviews, and performance tuning; collaborate with product managers to deliver cloud-based solutions.

Pay and Benefits

Salary: USD 179,400 - 225,100 annually

Key Requirements

•Bachelor’s degree required.
•At least 4 years of application development experience (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 data warehousing and/or distributed data/computing tools (e.g., Redshift/Snowflake, MapReduce/Hadoop/Kafka/Spark).

Experience:4+ yearsBig dataMachine learningDistributed microservicesReal-time dataData warehousing

Education:Bachelor's

Skills:CollaborationMentoringTestingPerformance tuningTechnology experimentation

Tech Stack:JavaScalaPythonOpen Source RDBMSNoSQLRedshiftSnowflakeAWSMicrosoft AzureGoogle CloudMapReduceHadoopHiveEMRKafkaSparkGurobiMySQLMongoCassandra

Eligibility

Work Authorization:Authorization required. Sponsorship not provided.

Company Brief

Discover Financial

Provides consumer banking products, credit cards, personal loans, and payment services through the Discover brand. It operates a major U.S. financial network and serves individuals and merchants with lending and digital payment solutions.

Industry: Retail Banking

Company Size: Enterprise (1,001+ employees)

Revenue: USD 10M to 25M

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: Riverwoods, United States

Founded: 1985

Website LinkedIn

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Discover Financial

1 week ago

Lead Data Engineer

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI

Last checked: 1 hour agoStatus: Live

Job Summary

Location: Chicago

Workplace: Onsite

Employment Type: Full time

Job Function: Administration & Executive Assistance

Seniority: Mid level

Key Responsibilities

•Collaborate with Agile teams to design, develop, test, implement, and support full-stack technical solutions.
•Work with developers experienced in machine learning, distributed microservices, and full-stack systems.
•Use programming languages and database technologies plus cloud data warehousing services to build data solutions.
•Stay current with technology trends, experiment with new technologies, and participate in internal/external communities.
•Perform unit tests, code reviews, and performance tuning; collaborate with product managers to deliver cloud-based solutions.

Pay and Benefits

Salary: USD 179,400 - 225,100 annually

Key Requirements

•Bachelor’s degree required.
•At least 4 years of application development experience (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 data warehousing and/or distributed data/computing tools (e.g., Redshift/Snowflake, MapReduce/Hadoop/Kafka/Spark).

Experience:4+ yearsBig dataMachine learningDistributed microservicesReal-time dataData warehousing

Education:Bachelor's

Skills:CollaborationMentoringTestingPerformance tuningTechnology experimentation

Tech Stack:JavaScalaPythonOpen Source RDBMSNoSQLRedshiftSnowflakeAWSMicrosoft AzureGoogle CloudMapReduceHadoopHiveEMRKafkaSparkGurobiMySQLMongoCassandra

Eligibility

Work Authorization:Authorization required. Sponsorship not provided.

Company Brief

Discover Financial

Industry: Retail Banking

Company Size: Enterprise (1,001+ employees)

Revenue: USD 10M to 25M

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: Riverwoods, United States

Founded: 1985

Website LinkedIn