Senior Data Engineer & Tech Lead (Remote)

Thrivent; United States; Remote; USD 126,000 - 154,000; Full time

Benefits offered by this job

Medical, dental, and vision insurance

Health Savings Account (HSA)

401k and pension

Paid time off

Holidays and PTO

Volunteer time off

Parental leave

Employee assistance program (EAP)

Well-being benefits

Job summary

Thrivent is seeking a senior data engineer to design and optimize data pipelines, leveraging Hadoop, Spark, Kafka, and Snowflake/Databricks across the enterprise. You will work with business and technical stakeholders to implement quality data solutions, while mentoring teammates and shaping architecture.

This role supports remote work from the United States. You will design scalable data architectures, implement ingestion patterns, and contribute to governance and testing strategies, ensuring

Qualifications

• Bachelor’s or foreign equivalent degree in Applied Computer Science, MIS, Computer Science, or a related field plus 5 years of progressive post-baccalaureate experience as a data engineer, specialist or consultant, or closely related occupation.
• 5+ years of experience with Hadoop, Spark, Spark streaming, and Kafka.
• Experience with Hive, Oracle, SQL Server, DB2, Snowflake, and Databricks.
• Designing and architecting data pipelines.
• Interacting with clients for requirement gathering and finalizing specifications.
• Using IICS, Informatica Power Center and Zena.
• At least 3 years of experience in Python and Scala.
• Demonstrated data warehouse modeling (STAR schema); Snowflake & Databricks modeling; building reusable data frameworks; developing and executing test cases; providing technical guidance; data lake enterprise implementation.

Responsibilities

• Collaborate with Thrivent teams to define data ingestion patterns and optimize pipelines.
• Participate in product planning and decomposition of work.
• Provide technical guidance to teams and serve as SME in data analysis and pipeline deployment.
• Build reusable components for reporting and analytics and support data architecture strategy.

Skills

Hadoop

Spark

Kafka

Python

Scala

Data pipelines

SQL

Data modeling

Education

Bachelor's in Computer Science / MIS / related field

Tools

Hive

Oracle

SQL Server

DB2

Snowflake

Databricks

Informatica PowerCenter

IICS

Zena

Job description

Thrivent is seeking a senior data engineer to design and optimize data pipelines, leveraging Hadoop, Spark, Kafka, and Snowflake/Databricks across the enterprise. You will work with business and technical stakeholders to implement quality data solutions, while mentoring teammates and shaping architecture.

This role supports remote work from the United States. You will design scalable data architectures, implement ingestion patterns, and contribute to governance and testing strategies, ensuring