Sr. Associate, Data Solutions Engineering
About The Position
The Senior Associate, Data Solutions Engineering develops robust data pipelines, implements data transformations, and provides operational support, runbooks, and documentation. The role contributes to well-governed data solutions that automate application and data flows and enable end-to-end processing on modern data platforms. It emphasizes independently designing solutions, proactively identifying optimizations, and mentoring junior team members. The position reports to the VP or AVP, Data Solutions Engineering and is based in Fortitude Re’s Nashville, Tennessee office on a hybrid basis. Fortitude Re is a provider of legacy reinsurance solutions, working with insurance companies on transformational solutions for legacy Life & Annuity and P&C lines. The company manages approximately $111 billion across life, annuity, and property and casualty insurance products.
Requirements
- Bachelor’s degree in Math, Computer Science, Engineering, or a similar field.
- Understanding of ETL/ELT, cloud, and data operations.
- At least four years of programming experience with Python, Julia, and/or R.
- Proficiency in SQL.
- Robust knowledge of data lakes, data governance, and modern data quality techniques.
- Detail-oriented debugging and troubleshooting skills.
- Excellent analytical, problem-solving, and conceptual skills.
- Strong verbal and written communication skills.
Nice To Haves
- Domain knowledge of Actuarial, Investment, or Finance within the Insurance/Reinsurance industry.
- Experience with Databricks and/or Dagster and/or DBT.
Responsibilities
- Design and deliver strategic data solutions using modern data engineering principles to meet business requirements.
- Independently implement and optimize data ingestion and transformation jobs, delivering incremental datasets for downstream consumption.
- Champion automation and work in an agile development environment while applying DevOps principles.
- Evaluate and improve existing data pipelines, recommending future-state architectures to increase scalability, performance, and maintainability.
- Collaborate with data platform engineering, data governance, data science, and data analytics and visualization colleagues to ensure solutions are robust, compliant, and reusable.
- Support and mentor early-career professionals by sharing best practices and contributing to team knowledge.
- Provide operational support, runbooks, and documentation for data solutions.
Benefits
- Annual bonus based on company and individual performance.
- Generous benefits package.
Stand Out From the Crowd
Upload your resume and get instant feedback on how well it matches this job.
What This Job Offers
Job Type
Full-time
Career Level
Mid Level
