Design and build robust, scalable solutions and data pipelines to automate the ingestion, processing and delivery of all types of data: structured and unstructured, batch, and real-time streaming data. Break down complex data issues and resolve them. Use analytical, programming and technical skills to ensure that data ingestion pipelines are scalable, repeatable, secure, and can serve multiple users within. Acquire data from a variety of different sources, getting it in the right formats, assuring that it adheres to data quality standards, and assuring that users can get that data quickly. Build robust systems with an eye on automation and the long-term maintenance and support of the application. Work directly with the product owner and end-users to constantly deliver products in a highly collaborative and agile environment.

Position is based out of and reports to Thrivent Financial’s HQ in Minneapolis, MN, but allows for the option to telecommute from a home office anywhere in the United States.

         

          

Specific Skills and Requirements

Must also have following experience:

At least 5 years of experience in each of the following:

Data engineering experience using Big Data Technologies: Apache Spark and Hadoop;Experience with JVM Languages such as Java or Scala;Experience building data pipelines, CICD pipelines, and fit for purpose data stores;Experience working with Spark streaming and Kafka;Designing and architecting data pipelines;

At least 3 years of experience with each of the following:

Working with AWS and Azure;Working with DB2 and other relational databases;Working with Snowflake and Databricks;Working with Elastic Search, Kibana and Tableau;Working with Airflow;Working with Jenkins and GitHub;Working in an agile environment using JIRA;

Requires demonstrable experience with each of the following:

Datawarehouse model using STAR schema;Modeling data in Snowflake and Databricks;Building reusable frameworks to reduce manual effort;Experience developing and executing test cases;Providing technical guidance to teams by defining and executing POCs;Acting as a subject matter expertise in data analysis, building optimized data pipelines, deploy and maintain for the large volume of heterogenous data to create enterprise data lake; and

Participating in setting strategy and standards through data architecture and implementation leveraging big data and analytics tools and technologies.

Current Salary: $155,000 per year

              

 

Other

 

Thrivent is unique in our commitment to helping people to be wise with money and live balanced and generous lives. That extends to our benefits.

 

The following benefits may be offered: various bonuses (including, for example, annual or long-term incentives); medical, dental, and vision insurance; health savings account; flexible spending account; 401k; pension; life and accidental death and dismemberment insurance; disability insurance; supplemental protection insurance; 20 days of Paid Time Off each year; Sick and Safe Time; 10 paid company holidays; Volunteer Time Off; paid parental leave; EAP; well-being benefits, and other employee benefits. Eligibility for receipt of these benefits is subject to the applicable plan/policy documents. Thrivent’s plans/policies are subject to change at any time at Thrivent’s discretion.

 

Thrivent provides Equal Employment Opportunity (EEO) without regard to race, religion, color, sex, gender identity, sexual orientation, pregnancy, national origin, age, disability, marital status, citizenship status, military or veteran status, genetic information, or any other status protected by applicable local, state, or federal law. This policy applies to all employees and job applicants.

Thrivent is committed to providing reasonable accommodation to individuals with disabilities. If you need a reasonable accommodation, please let us know by sending an email to human.resources@thrivent.com or call 800-847-4836 and request Human Resources.