Analytics Engineer

This is a fully remote position, open to applicants in Michigan.

📋 Description

• Design, develop, and sustain scalable ETL/ELT pipelines along with data integration processes.

• Construct and enhance data models for enterprise reporting, analytics, and self-service business intelligence.

• Collaborate with Microsoft Fabric, Snowflake, Azure Data Factory, and various enterprise data technologies.

• Ensure the accuracy, reliability, security, and accessibility of data through robust data quality and governance practices.

• Monitor data pipelines and platforms to detect performance, reliability, and scalability challenges.

• Troubleshoot data-related issues, pinpoint root causes, and implement effective solutions.

• Partner with business stakeholders, Analytics Developers, and technical teams to convert requirements into data-driven solutions.

• Support enterprise analytics initiatives by providing clean, structured, and reliable data.

• Automate data workflows to enhance efficiency and scalability.

• Maintain technical documentation, data standards, and established best practices.

• Comply with HIPAA, PCI, data privacy, and enterprise security standards.

• Keep abreast of emerging data technologies, architectures, and engineering best practices.

⛳️ Requirements

• Over 3 years of experience in designing, developing, and maintaining data pipelines, data integration processes, and/or enterprise data platforms.

• Strong SQL proficiency along with experience in database management and optimization.

• Experience in ETL/ELT development, data modeling, and data integration.

• Understanding of data engineering principles and contemporary analytics architectures.

• Experience with relational and/or cloud-based data platforms.

• Excellent analytical and problem-solving abilities with a knack for troubleshooting complex data issues.

• Ability to work collaboratively with both technical and non-technical stakeholders.

• Strong communication skills with the capability to articulate technical concepts to diverse audiences.

• Bachelor’s degree in Computer Science, Information Systems, Data Engineering, Software Engineering, Mathematics, or a related technical field is preferred, or equivalent experience.

• Familiarity with Microsoft Fabric, Azure Data Factory, Azure Synapse, Snowflake, or similar cloud data platforms.

• Experience in designing and maintaining enterprise-scale ETL/ELT pipelines.

• Knowledge of Lakehouse, data warehouse, and medallion architecture.

• Experience with data quality, monitoring, metadata management, and data governance.

• Familiarity with Python, Spark, or other scripting/programming languages used for data processing and automation.

• Experience with Git, CI/CD, and DevOps practices.

• Experience in healthcare or other highly regulated sectors.

• Understanding of HIPAA, data privacy, security, and compliance obligations.

🏝️ Benefits

• Full-time remote work.

• Equal Opportunity Employer.