Senior Engineer (e-MG)

Design Solutions

Apply technical knowledge to drive outcomes for customers;

Work and problem solve independently on initiatives that align to the broader software engineering strategy;

Work closely with business and technical stakeholders to design and implement data quality frameworks;

Develop Software

Work independently as well as collaboratively with team in developing core software for the product that delivers outcomes;

Consistent and dependable in delivering core software that delivers outcomes and meets/exceeds the teams expectations for stability scalability resilience etc.;

Learn and Apply New Techniques

Share new ideas and techniques with team;

Encourage junior engineers to invest in learning as a part of their job;

Collaborate within the Team

Participate in teams collaboration sessions to provide technical expertise to solve problems/remove technical roadblocks for the team;

Participate in product planning and implementation. Help team to understand and decompose work;

Collaborate with enterprise source system teams to define standardize and optimize data ingestion patterns;

Define Engineering Standards and Patterns

Contribute to developing engineering practices templates and frameworks in collaboration with the team;

DevOps

Continuously assess technology to build more stable scalable and resilient software. Use data to measure progress;

Promote and expand on the use of the CI/CD pipeline to improve the deployment and build process;

Participate in team support rotation and provide expert knowledge on focus subsystems;

Develop and maintain monitoring and observability frameworks to ensure reliable and scalable data pipelines;

Select & Manage Technology Vendors

Contribute to define the selection criteria for selecting the right technology vendors;

Participate in proof of concept/technology along with the vendor. Coach Engineers;

Provide guidance to junior engineers to help them learn foundational software engineering skills;

Provide technical expertise and help the team to solve technical/software issues;

Provide trainings to the junior developers and groom them;

Provide domain expertise on software products in their area to junior engineers to help them learn/grow their skills and contribute as part of the team;

Recruit/Build Talent

Engage in the tech community to build the Thrivent technology brand and position as the employer of choice in the market;

Participate in the interview process or be part of the panel to recruit the right talent to the team;

Contribute to the recruitment to define the structure of the interview process to hire the right talent to the team;

Model Thrivents leadership competencies courage collaboration and commitment by demonstrating resiliency working together to make the best decisions and holding yourself and others accountable;

Support and/or develop an environment in which Thrivent employees and colleagues are focused on continuous improvement exceptional employee engagement and an unwavering commitment to our clients; and

Shape and/or support a culture that represents the Thrivent purpose promise and values ensuring that Thrivents trust and reputation remain strong with its clients.

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

Requirements:

- Bachelors or foreign equivalent degree in Applied Computer Science Management Information Systems 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.

- Must possess at least 5 years of experience in the following:

• Working with Hadoop Spark Spark streaming and Kafka;
• Working 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.

- Must possess at least 3 years of experience in the following:

• Working with Python and Scala.

- Must possess demonstrable experience in the following:

• Datawarehouse model using STAR schema;
• Modeling data in Snowflake and Databricks;
• Building reusable frameworks to reduce manual effort;
• Developing and executing test cases;
• Providing technical guidance to teams by defining and executing Proof of concept;
• Acting as subject matter expertise in data analysis building optimized data pipelines deploying and maintaining a large volume of heterogenous data to create enterprise data lake;
• Participating in setting strategy and standards through data architecture and implementation leveraging big data and analytics tools and technologies;
• Building reusable components for reporting and analytics.

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

Salary: at least $140000.00 per year

Other

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 toor calland request Human Resources.