Data Engineer – Cloud Data Integration

Title: Data Engineer - Cloud Data Integration

Location: Chicago, IL; Des Moines, IA; Sioux Falls, SD; Fargo, ND; Remote

Position Overview:

We are seeking a highly skilled and motivated Data Engineer with expertise in cloud-based data integration to join our dynamic team. The ideal candidate will play a pivotal role in designing, developing, and maintaining robust data pipelines and systems to support our insurance and annuity products.

Responsibilities:

1. Design, implement, and manage scalable data pipelines for ingesting, transforming, and storing diverse data sets from various sources into our cloud-based data infrastructure.
2. Develop, test, and deploy code using internal software development toolsets, including the code for deploying infrastructure and solutions for secure data storage, ETL pipelines, data catalogs, and data queries.
3. Collaborate with cross-functional teams to understand data requirements and develop solutions that meet business objectives.
4. Optimize data workflows and processes for efficiency, reliability, cost, and performance.
5. Ensure data quality, integrity, and security throughout the data lifecycle.
6. Stay updated with emerging technologies and best practices in data engineering, cloud services, and integration methodologies to drive continuous improvement.

Requirements:

1. Bachelor’s degree in Computer Science, Engineering, or a related field.
2. 5+ years of IT development experience.
3. 3+ years of experience in designing and implementing enterprise data solutions.
4. Proficiency in cloud data platforms such as AWS, Azure, or Google Cloud Platform.
5. Proven experience publishing and managing Kafka topics.
6. Proven experience as a Data Engineer, preferably in the insurance or financial services industry.
7. Strong expertise in data modeling, ETL/ELT processes, and data warehousing concepts.
8. Hands-on experience with programming languages (Python, Java, or Scala) and SQL.
9. Strong understanding of data governance, metadata management, data quality controls, data lineage, and data security.
10. Experience working in an Agile environment with strong Scrum framework knowledge.
11. Excellent problem-solving skills and ability to work in a fast-paced, collaborative environment.

Preferred Qualifications:

1. Experience with Jupyter Notebooks.
2. Experience with API management.
3. Advanced degree in a relevant field.
4. Industry certifications related to cloud services or data engineering.
5. Experience with specific tools or technologies relevant to insurance data analysis or actuarial science.

Other Details:

1. $78,672 - $163,899 - Range includes data points from multiple labor markets. Specific range is dependent on the labor market where the incumbent will be hired to perform the position. Starting salary is dependent on candidate qualifications and experience. For a narrower salary range specific to your labor market, please inquire.
2. Sammons Financial Group offers incentive programs for defined goals subject to eligibility and performance. Monetary rewards are based on individual and/or overall company performance.
3. Our competitive benefit package includes: Health, Dental, Vision, Company Paid Retirement, PTO, and Holiday Pay.
4. Criminal background check required.