KellyMitchell Group
Pay found in job post
Retrieved from the description.
Base pay range $64.00/hr - $84.00/hr
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
Seniority level Mid-Senior level
Employment type Contract
Job function Information Technology
Industries IT Services and IT Consulting
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Base pay range $64.00/hr - $84.00/hr
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
Seniority level Mid-Senior level
Employment type Contract
Job function Information Technology
Industries IT Services and IT Consulting
#J-18808-Ljbffr