Design, develop, and maintain data processing pipelines to support business and client needs.
Build and optimize Power BI reports for data visualization and decision support.
Apply statistical methods and machine learning techniques to analyze datasets and extract insights.
Collaborate with cross-functional teams to understand requirements and translate them into technical solutions.
Write clean, efficient, and scalable code in C# and Python for long-term engineering projects.
Ensure best practices in data quality, performance, and security are followed.
Requirements
5 years of experience in commercial software development experience.
Must have strong coding skills in C# and Python.
Must have experience with Azure cloud and Azure DevOps development.
Must have strong proficiency in Power BI – able to leverage Power BI functions for data processing and analysis.
Good to have statistical knowledge – capable of applying statistical methods, e.g., identifying variations and trends in datasets.
Strong background in data science and statistics (machine learning knowledge preferred).
Hands-on experience with data processing and ETL pipelines.
Proficiency with Power BI for reporting and visualization.
Solid understanding of system design and coding best practices.
Benefits
15 days per year of Paid Time Off (PTO).
8 paid holidays + 1 personal floating holiday
401(k) retirement plan with company match.
Eligible employees (and their families) are offered medical, dental, and vision insurance, health savings account (HSA), short-term and long-term disability, employee assistance plan (EAP), and basic life and AD&D insurance.
Eligible employees (and their families) are offered health care flexible spending account, dependent care flexible spending account, commuter benefits, voluntary accident & critical injury coverage, voluntary long-term care coverage, and voluntary life and AD&D insurance.
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
C#PythonPower BImachine learningstatistical methodsdata processingETL pipelinesdata visualizationsystem designcoding best practices