What are the responsibilities and job description for the Times-Series Data Engineer position at Kane Partners LLC?
A well-established technology and analytics company serving the energy and industrial sectors is seeking a Data Engineer with strong skills in Python, SQL, and time-series data. The right candidate is collaborative, curious, and comfortable operating in a small, fast-moving environment where initiative and independent problem-solving are essential.
About the Role
As part of the data engineering team, you will acquire, organize, and analyze large-scale industrial process data to support machine learning–based forecasting, anomaly detection, and performance modeling. You will work closely with data scientists and domain experts to convert complex datasets into insights that help improve operational output and reliability.
Key Responsibilities
• Develop and maintain data pipelines and deployments for ML applications
• Work with Azure-based infrastructure to manage and optimize data workflows
• Integrate, clean, and analyze time-series datasets from multiple sources
• Build, modify, and support production environments and deployment configurations
• Document systems clearly and communicate effectively with team members and clients
• Collaborate with technical and non-technical stakeholders to identify optimization opportunities
Core Competencies
• Strong analytical and problem-solving skills
• Self-directed, action-oriented, and comfortable managing multiple priorities
• Curious and adaptable in fast-changing environments
• Able to communicate complex ideas clearly and effectively
Required Skills & Experience
• Bachelor’s degree in a STEM discipline
• Minimum 2 years of experience in data engineering or a related role
• Strong proficiency in Python, SQL, and working with APIs
• Experience with time-series data and related modeling or analysis
• Familiarity with machine learning workflows and concepts
• Experience with Azure tools such as Azure Functions, SQL Server, Azure DevOps, and AzureML
Compensation & Benefits
• $100,000 – $140,000 annual base salary (depending on experience)
• Annual performance bonus
• Health, dental, and vision insurance
• Paid vacation and holidays
• Hybrid on-site/remote schedule
• Professional development and advancement opportunities
If you’re a Data Engineer who enjoys solving complex time-series challenges and building intelligent systems that drive measurable results, we’d like to hear from you.
Salary : $100,000 - $140,000
