Data Strategy Software Engineer

•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