Medallion Architecture

Medallion Architecture Developer Jobs

2 jobs found

2d ago

Lead Data Engineer

Wolverine Worldwide Remote 🌍 Remote

Remote

2d ago

$120k - $158k/yr Full time Analytics Azure Azure Data Factory

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Job Description

Wolverine Worldwide offers a 100% remote Lead Data Engineer role with a competitive annual salary range of USD 120,000 – 157,500. In this position you will lead the design, development, and deployment of Microsoft data solutions using Microsoft Fabric and the Azure data platform, mentor junior engineers, and drive data governance across cloud environments.

Responsibilities

Serve as the technical lead for modern data engineering initiatives, emphasizing Microsoft Fabric and Azure Synapse Analytics, and covering data pipelines, notebooks, lakehouse architectures, and enterprise data warehousing platforms.
Guide cross functional teams to design, implement, and provide hypercare support for contemporary data warehousing solutions from inception to operation.
Collaborate with management, customers, and colleagues to determine and refine requirements.
Provide estimates of resources, timelines, and costs for multiple projects across diverse teams.
Offer guidance on data governance, security, and privacy across cloud environments.
Lead or assist with problem solving related to application performance, usage, and general support activities for customers and team members.
Create system documentation, user manuals, and deliver or facilitate user training sessions.
Own disaster recovery initiatives and enforce change management standards and procedures.
Set and monitor service delivery levels, focusing on reliability, availability, accuracy, maintainability, and cost.
Support IT leadership in shaping and executing complex objectives aligned with short and long term company goals.
Evaluate third party solutions, stay current with technologies and trends, and integrate relevant innovations into the environment.
Continue developing technical and business proficiency through self-directed study, project work, and vendor interactions.
Provide 24 hour on call support, including evenings and weekends.
Perform duties in line with the company AAP and EEO policies and contribute to broader organizational goals.
Take on additional duties as assigned by management.

Requirements

Bachelor’s degree in Computer Science or a related field, or equivalent work experience.
8+ years of proven experience in designing and implementing data warehouse architecture, data delivery, data modeling, ETL tools, master data management, and deploying automated, well-documented solutions.
5+ years of experience with Microsoft cloud data platform solutions, including Microsoft Fabric OneLake, Azure Synapse, DevOps, Data Factory, pipelines, and notebooks.
Experience with monitoring and optimization tools such as Azure Monitor, Application Insights, Fabric capacity metrics, or equivalents.
Medallion Architecture modeling experience.
Proficiency in Python for data processing (dataframes, Spark, etc.) and SQL development with performance optimization.
Power BI experience is a plus.
Strong communication, analytical, problem solving, and organizational skills.
Ability to establish and maintain effective working relationships at all levels of the organization.
Ability to mentor other team members in cloud technologies.
Remote work capability with preference for candidates located in Michigan.

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3mo ago

Databricks Developer

Coda Staffing Chicago, IL

Chicago, IL

3mo ago Closed

$60 - $70/hr Full time Python Senior AWS

This position is no longer accepting applications (closed May 10, 2026).

Job Description

At Coda Staffing, the Databricks Developer will architect and optimize data pipelines in Azure, leveraging Databricks PySpark and Python to turn healthcare data into reliable, governable insights. The role emphasizes modern data lakehouse patterns, governance, and CI/CD practices to support compliant analytics in healthcare environments.

Responsibilities

Design, implement, and maintain scalable data pipelines using Databricks PySpark and Python.
Build and optimize ETL/ELT processes within Azure cloud environments.
Implement data models following Data Lakehouse principles, including Medallion architecture.
Ensure data quality, consistency, and performance across ingestion, staging, and curated layers.
Collaborate with data architects, analysts, and business stakeholders to translate healthcare data requirements into technical solutions.
Develop reusable data transformation logic and modular processing components.
Support deployment processes aligned with CI/CD and DevOps best practices.
Monitor and optimize data workflows for performance, scalability, and reliability.
Contribute to data governance, security, and compliance practices relevant to healthcare environments.

Requirements

Current knowledge of modern data tools such as Databricks, FiveTran, Data Fabric and others; core experience with data architecture, data integrations, data warehousing, and ETL/ELT processes.
Hands-on experience developing and deploying custom wheel packages or in-session notebook scripts for parallel execution across executor and worker nodes.
Experience with SQL, stored procedures, and PySpark based on area of data platform specialization.
Strong knowledge of cloud and hybrid relational database systems, such as MS SQL Server, PostgreSQL, Oracle, Azure SQL, AWS RDS, Aurora, or a comparable engine.
Strong experience with batch and streaming data processing techniques and file compaction strategies.
Hands-on experience with Databricks in Azure environments.
Advanced proficiency in Python and PySpark for distributed data processing.
Experience building and optimizing data pipelines in Azure (Azure Data Factory, Azure SQL, Data Lake Storage, etc.).
Solid understanding of data warehousing, data lakehouse concepts, and ETL/ELT frameworks.
Experience working with relational databases such as SQL Server, PostgreSQL, Oracle, or similar.
Knowledge of batch and streaming data processing patterns.
Experience working with large, complex datasets in cloud-based distributed environments.
Strong analytical and problem-solving skills; ability to work effectively in cross-functional and distributed teams.
Clear communication skills, with the ability to explain technical concepts to non-technical stakeholders.
Proactive mindset with a strong sense of ownership and a commitment to delivering high-quality, reliable data solutions.

Technologies

Databricks
PySpark
Python
Azure
Azure Data Factory
Data Lake Storage
FiveTran
Data Fabric
Medallion architecture
SQL
Stored Procedures
MS SQL Server
PostgreSQL
Oracle
Azure SQL
AWS RDS
Aurora

Location

Chicago, IL (onsite). Location options include Chicago or Cape Girardeau.

Work location

Hybrid remote in Chicago, IL 60617.

Compensation

USD 60 - 70 per hour.

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Medallion Architecture Developer Jobs

Lead Data Engineer

Databricks Developer

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