Analytics Engineer

Job not on LinkedIn

🔥 1 minute ago

🚗 Michigan – Remote

🚗 Michigan – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

📊 Analytics Engineer

👻 Ghost score 12%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Smile Partners USA

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 1962

🏥 Healthcare

🤝 B2B

💼 Consulting

Healthcare • B2B • Consulting

Smile Partners USA is a management support organization (a dental support organization) that provides comprehensive back-office resources and services to independent private dental practices and boutique group practices across the Midwest, Southeast, and Western United States. With over 35 years of experience, Smile Partners offers recruitment, marketing, finance and accounting, training and development, compliance, human resources, business development, operations and IT support, billing and collections, dentist credentialing, and purchasing support so affiliated practices can focus on patient care while administrative and operational functions are handled by the network.

📋 Description

• Design, develop, and maintain scalable ETL/ELT pipelines and data integration processes • Build and optimize data models for enterprise reporting, analytics, and self-service BI • Work with Microsoft Fabric, Snowflake, Azure Data Factory, and other enterprise data technologies • Ensure data is accurate, reliable, secure, and accessible through data quality and governance practices • Monitor data pipelines and platforms for performance, reliability, and scalability issues • Troubleshoot data issues, identify root causes, and implement solutions • Partner with business stakeholders, Analytics Developers, and technical teams to translate requirements into data solutions • Support enterprise analytics initiatives with clean, structured, and trusted data • Automate data workflows and improve efficiency and scalability • Maintain technical documentation, data standards, and best practices • Support HIPAA, PCI, data privacy, and enterprise security compliance requirements • Stay current with emerging data technologies, architectures, and engineering best practices

🎯 Requirements

• 3+ years of experience designing, developing, and maintaining data pipelines, data integration processes, and/or enterprise data platforms • Strong proficiency in SQL and experience with database management and optimization • Experience with ETL/ELT development, data modeling, and data integration • Understanding of data engineering principles and modern analytics architectures • Experience working with relational and/or cloud-based data platforms • Strong analytical and problem-solving skills with the ability to troubleshoot complex data issues • Ability to collaborate effectively with both technical and non-technical stakeholders • Strong communication skills and the ability to explain technical concepts to diverse audiences • Bachelor’s degree in Computer Science, Information Systems, Data Engineering, Software Engineering, Mathematics, or a related technical field preferred, or equivalent experience • Experience with Microsoft Fabric, Azure Data Factory, Azure Synapse, Snowflake, or comparable cloud data platforms • Experience 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 methodologies • Experience working in healthcare or another highly regulated industry • Understanding of HIPAA, data privacy, security, and compliance requirements

🏖️ Benefits

• Full-time remote work • Equal Opportunity Employer