

KellyMitchell Group
Data Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Engineer in Blue Ash, Ohio, with a contract length of "unknown." The pay rate is between $64.00 and $84.00 per hour. Key skills required include Databricks, Azure Synapse, Spark, advanced SQL, and experience in data governance and agile environments. Certifications needed: Microsoft Certified Azure Data Engineer Associate and Databricks Certified Data Engineer Professional.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
672
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🗓️ - Date
October 14, 2025
🕒 - Duration
Unknown
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🏝️ - Location
On-site
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
Blue Ash, OH
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🧠 - Skills detailed
#Data Transformations #SQL (Structured Query Language) #Data Architecture #Data Ingestion #Data Pipeline #Data Governance #Scala #Data Science #ML (Machine Learning) #Jira #Documentation #Azure #Cloud #Compliance #Synapse #BI (Business Intelligence) #Data Engineering #Datasets #Data Processing #Leadership #Agile #Spark (Apache Spark) #Databricks #"ETL (Extract #Transform #Load)"
Role description
Job Summary
Our client is seeking a Data Engineer to join their team! This position is located in Blue Ash, Ohio.
Duties
• Design, build, and maintain robust, scalable ELT/ETL pipelines and data transformations using Databricks, Spark, and Synapse
• Model high-volume, complex event-level datasets to support dashboards, experimentation, ML models, and marketing activation
• Enforce data governance, discoverability, and stewardship, ensuring compliance and lineage tracking
• Validate and reconcile data pipelines against established behavioral datasets
• Partner with data architects, analysts, data scientists, and marketing teams to deliver trusted, reusable, and well-structured datasets that power dashboards and decision-making
• Mature the data ingestion, processing, orchestration, and curation capabilities
• Participate in agile delivery processes: sprint planning, backlog refinement, documentation, collaborating through Jira and Confluence
• Document data assets, transformations, and pipelines for discoverability, transparency, and long-term maintainability
• Facilitate clear and continuous communication between business and engineering teams
Desired Skills/Experience:
• 7+ years of experience in data engineering or similar roles, with hands-on delivery of cloud-based data solutions
• Microsoft Certified: Azure Data Engineer Associate and Databricks: Databricks Certified Data Engineer Professional
• Strong expertise in Databricks and Azure Synapse, with practical experience in Spark-based data processing
• Proficient in modern data architectures
• Advanced SQL skills for data transformation and performance optimization
• Proven ability to model and manage large-scale, complex behavioral and Ecommerce datasets
• Expert in BI and best practices for data enablement and self-service analytics
• Working knowledge of behavioral analytics platforms
• Excellent communication skills with a talent for translating technical concepts into business value
• Experience operating in agile delivery environments, balancing speed, scalability, and solution quality
• Proven leadership as a technical lead
Benefits:
• Medical, Dental, & Vision Insurance Plans
• Employee-Owned Profit Sharing (ESOP)
• 401K offered
The approximate pay range for this position is between $64.00 and $84.00. Please note that the pay range provided is a good faith estimate. Final compensation may vary based on factors including but not limited to background, knowledge, skills, and location. We comply with local wage minimums.
Job Summary
Our client is seeking a Data Engineer to join their team! This position is located in Blue Ash, Ohio.
Duties
• Design, build, and maintain robust, scalable ELT/ETL pipelines and data transformations using Databricks, Spark, and Synapse
• Model high-volume, complex event-level datasets to support dashboards, experimentation, ML models, and marketing activation
• Enforce data governance, discoverability, and stewardship, ensuring compliance and lineage tracking
• Validate and reconcile data pipelines against established behavioral datasets
• Partner with data architects, analysts, data scientists, and marketing teams to deliver trusted, reusable, and well-structured datasets that power dashboards and decision-making
• Mature the data ingestion, processing, orchestration, and curation capabilities
• Participate in agile delivery processes: sprint planning, backlog refinement, documentation, collaborating through Jira and Confluence
• Document data assets, transformations, and pipelines for discoverability, transparency, and long-term maintainability
• Facilitate clear and continuous communication between business and engineering teams
Desired Skills/Experience:
• 7+ years of experience in data engineering or similar roles, with hands-on delivery of cloud-based data solutions
• Microsoft Certified: Azure Data Engineer Associate and Databricks: Databricks Certified Data Engineer Professional
• Strong expertise in Databricks and Azure Synapse, with practical experience in Spark-based data processing
• Proficient in modern data architectures
• Advanced SQL skills for data transformation and performance optimization
• Proven ability to model and manage large-scale, complex behavioral and Ecommerce datasets
• Expert in BI and best practices for data enablement and self-service analytics
• Working knowledge of behavioral analytics platforms
• Excellent communication skills with a talent for translating technical concepts into business value
• Experience operating in agile delivery environments, balancing speed, scalability, and solution quality
• Proven leadership as a technical lead
Benefits:
• Medical, Dental, & Vision Insurance Plans
• Employee-Owned Profit Sharing (ESOP)
• 401K offered
The approximate pay range for this position is between $64.00 and $84.00. Please note that the pay range provided is a good faith estimate. Final compensation may vary based on factors including but not limited to background, knowledge, skills, and location. We comply with local wage minimums.