Data Engineer | Bedminster, NJ, USA

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