Data Engineer – Time Series & Machine Learning

Kane Partners LLC • Full-time • Warrington, Pennsylvania, United States • $100k - $140k / year • 7h ago

A growing technology and analytics company supporting the energy and industrial sectors is seeking a Data Engineer with strong skills in Python, SQL, and time-series data. The ideal candidate is both collaborative and self-directed—comfortable working in a small, fast-moving team where initiative and problem-solving are essential.

About the Role As a key member of the data engineering team, you’ll acquire and analyze large-scale industrial process data to design, build, and maintain machine learning–based forecasting and anomaly detection systems. You’ll work closely with data scientists and domain experts to translate complex datasets into actionable insights that improve operational performance.

Key Responsibilities

· Develop and maintain data pipelines and deployments for machine learning applications

· Work with Azure-based infrastructure to manage and optimize data workflows

· Integrate 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

· Self-starter with strong analytical and problem-solving skills

· Curious, resourceful, and adaptable in fast-changing environments

· Action-oriented and capable of managing multiple priorities independently

· Effective communicator with the ability to explain complex concepts clearly

Required Skills & Experience

· Bachelor’s degree in a STEM discipline

· Minimum 2 years of professional experience in a data engineering or similar role

· Strong proficiency in Python, SQL, and working with APIs

· Experience with time-series data and related modeling or analysis techniques

· Familiarity with machine learning workflows and concepts

· Experience using Azure, including Azure Functions, SQL Server, Azure DevOps, and AzureML

Compensation & Benefits

· $1000,000 – $140,000 annual salary (based on experience)

· Annual performance bonus

· Health, dental, and vision insurance

· Paid vacation and holidays

· Hybrid schedule (on-site and remote work)

· Professional growth and advancement opportunities

If you’re an experienced Data Engineer who enjoys tackling complex time-series challenges and building intelligent systems that drive measurable results, we want to hear from you.

Job Type: Full-time

Pay: $100,000.00 - $140,000.00 per year

Benefits: