Senior Data Engineer – Remote Data Pipelines
Thrivent Financial
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Benefits offered by this job
Job summary
Thrivent Financial seeks a Senior Engineer (e-MG) to advance data engineering initiatives. Based in Minneapolis with option to telecommute from anywhere in the United States, you will design and implement data pipelines, work with Hadoop/Spark/Kafka stacks, and partner with stakeholders to ensure scalable, reliable software.
The role requires 5+ years in data engineering, strong Python/Scala skills, and experience with Snowflake/Databricks and data lake architectures.
Qualifications
- Bachelor’s degree in Applied Computer Science, MIS, CS or related field with 5+ years data engineering experience.
- 5+ years in data engineering with big data tech and data integration.
- Experience with Hadoop, Spark, Kafka, Hive and Snowflake.
- Proven ability to design and implement data pipelines and data lake solutions.
Responsibilities
- Design solutions and drive outcomes for customers.
- Develop core software for the product delivering stable, scalable results.
- Collaborate with stakeholders to design data quality frameworks.
- Define data ingestion patterns with enterprise source systems; support CI/CD pipelines.
- Mentor juniors, provide technical guidance, and participate in product planning.
Skills
Education
Tools
Job description
Thrivent Financial seeks a Senior Engineer (e-MG) to advance data engineering initiatives. Based in Minneapolis with option to telecommute from anywhere in the United States, you will design and implement data pipelines, work with Hadoop/Spark/Kafka stacks, and partner with stakeholders to ensure scalable, reliable software.
The role requires 5+ years in data engineering, strong Python/Scala skills, and experience with Snowflake/Databricks and data lake architectures.
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