Data Engineer

Mutually Human; Grand Rapids (MI); On-site; USD 80,000 - 110,000; Full time

Job summary

A technology innovator in Grand Rapids, MI is seeking a Data Engineer to design and optimize data pipelines using SQL, Microsoft Fabric, and Snowflake. The ideal candidate will have experience with ETL/ELT tools, cloud data engineering, and a strong understanding of data governance. This is a full-time opportunity that offers the chance to work with cutting-edge data solutions and technology.

Qualifications

• 3+ years of hands-on experience with advanced SQL for data analysis, modeling, and engineering.
• Experience with ETL/ELT tools and modern data engineering frameworks.
• Understanding of Bronze, Silver, and Gold data layers for structured data transformation.
• Hands-on experience with data cloud technologies like Microsoft Fabric and Snowflake.
• Experience managing SQL Server or other relational databases.
• Proficiency in Python, C#, or Java for data transformations.
• Knowledge of CI/CD pipelines and development tools.
• Familiarity with cloud platforms (Azure, AWS, Google Cloud).

Responsibilities

• Design, build and maintain scalable ETL/ELT pipelines.
• Write, optimize, and manage SQL queries and stored procedures.
• Design data models for business intelligence reporting.
• Implement Medallion Architecture for data processing.
• Optimize SQL queries and database performance.
• Work with CI/CD pipelines for deployment automation.
• Collaborate with data scientists to integrate AI models.
• Ensure compliance with data governance best practices.

Skills

SQL Proficiency

Data Pipeline Development

Medallion Architecture Knowledge

Cloud Data Engineering

Database Management

Programming Skills

DevOps & Infrastructure

Cloud Platforms

Tools

Microsoft Fabric

Databricks

Azure Data Lake

Snowflake

CI/CD pipelines

Git

Azure DevOps

SQL Server

PostgreSQL

SAP HANA

Progress

Oracle

Azure SQL

Power BI

Tableau

Looker

Job description

At Mutually Human, we believe that innovation ensures relevancy. We help companies harness the power of Artificial Intelligence, Data, and Software through a holistic approach that emphasizes People, Process, and Technology. Our services are designed to solve key business challenges like optimizing operational efficiency, driving data-driven decision‑making, and enhancing customer experiences. Join our team to help businesses stay ahead in an ever‑evolving digital landscape.

Position Overview

The Data Engineer will design, implement, and optimize SQL‑based data pipelines and databases, collaborating with cross‑functional teams to develop scalable systems using Microsoft Fabric, Azure Data Lake, Databricks, and Snowflake for efficient data environments.

Key Responsibilities

• Design, build and maintain scalable, efficient ETL/ELT pipelines for data ingestion, transformation, and integration.
• Write, optimize, and manage SQL queries, stored procedures, and scripts to support analytics and reporting.
• Design and implement data models for business intelligence and analytical reporting.
• Ensure data quality, consistency, and reliability through best practices and validation techniques.
• Implement Medallion Architecture (Bronze, Silver, Gold layers) to enable scalable and structured data processing.

Work with Cutting‑Edge Data & AI Tech

• Microsoft Fabric: Develop and manage dataflows, models, and SQL‑driven analytics solutions.
• Snowflake: Design modern data warehouses and data lakes that power AI‑driven insights.
• Azure Data Lake: Implement high‑scale storage solutions for AI and machine learning utilizing both structured and unstructured data.

Performance Optimization & DevOps

• Optimize SQL queries, indexing, and database performance tuning for efficiency and scalability.
• Work with CI/CD pipelines, automating deployments and testing for data workflows (using Git, Terraform, or Azure DevOps).
• Enable real‑time monitoring and automation for enhanced pipeline reliability.

Path to Leadership & Senior Roles

• Take ownership of projects and begin leading technical initiatives.
• Mentor junior engineers and share knowledge within the team.
• Work towards designing data architecture and influencing strategic decisions.
• Collaborate with sales and business teams to translate needs into scalable data solutions.

AI/ML Enablement & Analytics

• Collaborate with data scientists and analysts to support AI/ML initiatives by integrating models into data pipelines.
• Enhance AI‑driven data processing through automation and advanced transformations.
• Work closely with data analysts, business stakeholders, and product teams to gather requirements and deliver tailored data solutions.

Follow data governance best practices, ensuring compliance with security policies and regulatory standards.

Qualifications

Required Skills & Experience:

• SQL Proficiency: 3+ years of hands‑on experience with advanced SQL for data analysis, modeling, and engineering.
• Data Pipeline Development: Experience with ETL/ELT tools and modern data engineering frameworks.
• Medallion Architecture Knowledge: Understanding of Bronze, Silver, and Gold data layers for structured data transformation.
• Cloud Data Engineering: Hands‑on experience with Microsoft Fabric, Databricks, Azure Data Lake, or Snowflake.
• Database Management: Experience with SQL Server, PostgreSQL, SAP HANA, Progress, Oracle, Azure SQL or other relational databases.
• Programming Skills: Proficiency in Python, C# or Java for data transformations and automation.
• DevOps & Infrastructure: Experience with CI/CD pipelines, Git or Azure DevOps.
• Cloud Platforms: Working knowledge of Azure, AWS, or Google Cloud services.

Bonus Points for:

• Microsoft Data & AI certifications.
• Experience with BI tools like Power BI, Tableau, or Looker.
• Interest in ML model deployment and AI‑driven analytics.
• Understanding of Azure and AWS networking concepts.
• Knowledge of data governance frameworks and compliance standards (GDPR, HIPAA, SOC 2).

Think you have what it takes? Apply today!