[Hiring] Senior Engineer (e-MG) @Thrivent

Role Description

• 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;

• 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.;

• Share new ideas and techniques with team;
• Encourage junior engineers to invest in learning as a part of their job;

• Participate in team’s 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;

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

• 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;

• 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;

• 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 Thrivent’s 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;
• Shape and/or support a culture that represents the Thrivent purpose, promise and values, ensuring that Thrivent’s trust and reputation remain strong with its clients.

Requirements

• Bachelor’s 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.

Benefits

• 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.