A.M. Best
Benefits Summary
Flexible and hybrid work arrangements Paid time off/Paid company holidays Medical plan options/prescription drug plan Dental plan/vision plan options Flexible spending and health savings accounts 401(k) retirement savings plan with a Roth savings option and company matching contributions Educational assistance program
Overview
The Data Engineer will be responsible for designing, building, and optimizing scalable data solutions to support a wide range of business needs. This role requires a strong ability to work both independently and collaboratively in a fast-paced, agile environment. The ideal candidate will engage with cross-functional teams to gather data requirements, propose enhancements to existing data pipelines and structures, and ensure the reliability and efficiency of data processes.
Responsibilities
• Develop and maintain scripts and tools using Python, PowerShell, and R • Design, write, and optimize SQL queries for performance and scalability • Help modernize 'legacy' solutions to realign with our current code base and tech stack • Assist in redevelopment, improvement and ongoing maintenance of existing data, analytics, and reporting solutions • Ensure accurate and efficient data integration of diverse data sources and formats • Enhance and support database functions and procedures • Optimize data access and data processing workflows for performance, scalability, and efficiency • Implement data quality checks and validations to ensure the accuracy, consistency, and completeness of data • Identify and resolve performance bottlenecks, investigate and troubleshoot data related issues, and provide solutions to address defects • Seamlessly transition between production support and development tasks based on business needs • Deploy and manage code utilizing engineering best practices in non-prod and prod environments
Qualifications
• Bachelors Degree in computer science, data science, software engineering, information systems, or related quantitative field. • Minimum 4 years of experience working as a Python Developer, Solutions Engineer, Data Engineer, or similar roles.
Skills
• 4+ years of solid continuous experience in Python • 3+ years of solid experience writing SQL and PL/SQL code • 3+ years of experience working with relational databases (solid understanding of Oracle preferred) • 2+ years of experience scripting with PowerShell • Experience programming in R • Experience with web application frameworks including Shiny, Dash, Streamlit • Experience with CI/CD utilizing git/Azure DevOps • Knowledge of alternative storage formats including Parquet/Arrow/Avro • Ability to collaborate within and across teams of different technical knowledge to support delivery of solutions • Expert problem-solving skills, including debugging skills, enabling the determination of sources of issues in unfamiliar code or systems
Pluses, but not required: Any work experience in the following: ETL / ELT tools: Spark, Kafka, Azure Data Factory (ADF) NoSQL databases: MongoDB, Cosmos DB, DocumentDB or similar Languages: SAS, Java, Scala, .Net
Flexible and hybrid work arrangements Paid time off/Paid company holidays Medical plan options/prescription drug plan Dental plan/vision plan options Flexible spending and health savings accounts 401(k) retirement savings plan with a Roth savings option and company matching contributions Educational assistance program
Overview
The Data Engineer will be responsible for designing, building, and optimizing scalable data solutions to support a wide range of business needs. This role requires a strong ability to work both independently and collaboratively in a fast-paced, agile environment. The ideal candidate will engage with cross-functional teams to gather data requirements, propose enhancements to existing data pipelines and structures, and ensure the reliability and efficiency of data processes.
Responsibilities
• Develop and maintain scripts and tools using Python, PowerShell, and R • Design, write, and optimize SQL queries for performance and scalability • Help modernize 'legacy' solutions to realign with our current code base and tech stack • Assist in redevelopment, improvement and ongoing maintenance of existing data, analytics, and reporting solutions • Ensure accurate and efficient data integration of diverse data sources and formats • Enhance and support database functions and procedures • Optimize data access and data processing workflows for performance, scalability, and efficiency • Implement data quality checks and validations to ensure the accuracy, consistency, and completeness of data • Identify and resolve performance bottlenecks, investigate and troubleshoot data related issues, and provide solutions to address defects • Seamlessly transition between production support and development tasks based on business needs • Deploy and manage code utilizing engineering best practices in non-prod and prod environments
Qualifications
• Bachelors Degree in computer science, data science, software engineering, information systems, or related quantitative field. • Minimum 4 years of experience working as a Python Developer, Solutions Engineer, Data Engineer, or similar roles.
Skills
• 4+ years of solid continuous experience in Python • 3+ years of solid experience writing SQL and PL/SQL code • 3+ years of experience working with relational databases (solid understanding of Oracle preferred) • 2+ years of experience scripting with PowerShell • Experience programming in R • Experience with web application frameworks including Shiny, Dash, Streamlit • Experience with CI/CD utilizing git/Azure DevOps • Knowledge of alternative storage formats including Parquet/Arrow/Avro • Ability to collaborate within and across teams of different technical knowledge to support delivery of solutions • Expert problem-solving skills, including debugging skills, enabling the determination of sources of issues in unfamiliar code or systems
Pluses, but not required: Any work experience in the following: ETL / ELT tools: Spark, Kafka, Azure Data Factory (ADF) NoSQL databases: MongoDB, Cosmos DB, DocumentDB or similar Languages: SAS, Java, Scala, .Net