Must Have:
- 5-8+ years of relevant experience in data-focused software engineering.
- 2+ years of data analysis, AI, or data science work.
- Azure DevOps, Databricks, and data visualization/dashboarding
- implementing and maintaining CI/CD pipelines
- Python-based server-side web frameworks like FastAPI or Django
- Spark, Python, JSON, and SQL
Python, FastAPI, Django, SQL, CI/CD, Azure DevOps, GitLab, Travis, Jenkins, Data Analysis, Data Science, AI, (py)Spark, ELT/ETL Frameworks, Web Scraping, Crowdsourcing, Databricks, Optimizing Spark Clusters, PowerBI, Tableau
QUALIFICATIONS:
- 5-8+ years of relevant experience in data-focused software engineering
- Master’s Degree or Ph.D. in data science, computer science, or related quantitative field such as applied mathematics, statistics, engineering or operations research, or equivalent experience.
- Experience working with Python-based server-side web frameworks like FastAPI or Django
- Strong knowledge of SQL and familiarity with the high-level properties of modern data stores.
- Strong understanding of the contemporary SDLC, including dev/QC/prod environments, unit/integration/UA testing, CI/CD, etc.
- Experience building and maintaining CI/CD pipelines with tools such as Azure DevOps, GitLab, Travis, Jenkins, etc.
- 2+ years of data analysis, AI, or data science work.
- Experience with data cleaning, enrichment, and reporting to business users.
- Extensive experience with (py)Spark, Python, JSON, and SQL.
- Experience integrating data from semi-structured and unstructured sources.
- Knowledge of various industry-leading SQL and NoSQL database systems.
- Experience with or strong interest in learning about LLMs in a productized context.
ADDITIONAL QUALIFICATIONS:
- Strong understanding of entity resolution, streaming technologies, and ELT/ETL frameworks.
- Experience with web scraping and crowdsourcing technologies.
- Experience with Databricks and optimizing Spark clusters.
- Experience architecting web ecosystems from the ground up, including monolith vs. microservice decisions, caching technologies, security integrations, etc.
- Experience working with data visualization dashboarding tools (PowerBI, Tableau).
- Insurance domain knowledge or strong interest in developing it.
- Experience with the MS Azure cloud environment.