Intellectt Inc
Data Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Engineer Level 2 in Cincinnati, OH, on a contract basis. Requires 10 years of experience with Azure Databricks, Spark, Python, and SQL. Key skills include Delta Lake, Terraform, and GitHub. Leadership skills are a plus.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
480
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🗓️ - Date
March 26, 2026
🕒 - 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
Cincinnati, OH
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🧠 - Skills detailed
#Data Engineering #Scala #Azure Databricks #Cloud #Delta Lake #Databricks #Leadership #PySpark #Security #Automation #GitHub #Data Security #Python #SQL (Structured Query Language) #Terraform #Azure #Data Governance #Spark (Apache Spark)
Role description
Job Title: Data Engineer Level 2
Location: Cincinnati, OH
Contract
What’s the Job?
The engineer will:
Analyze, design, and develop enterprise data solutions using Azure, Databricks, Spark, Python, and SQL.
Develop and optimize Spark/PySpark pipelines with a focus on performance tuning (skew, partitioning, caching, shuffles).
Build and support Delta Lake tables and data models for both analytical and operational use cases.
Implement cloud infrastructure automation and CI/CD workflows using Terraform, GitHub, and GitHub Actions.
Collaborate with engineering teams to enhance tools, systems, and data security for scalable, reliable solutions.
Candidate Requirements:
10 years as a Data Engineer with hands on Azure Databricks, Spark, and Python experience.
Strong SQL background; experience with Delta Live Tables (DLT) or Databricks SQL.
Experience with Azure Functions, messaging services, or orchestration tools.
Familiarity with Purview or Unity Catalog for data governance/lineage
Proficiency with Terraform, GitHub, and GitHub Actions for infrastructure and CI/CD automation.
Please prioritize candidates with strong Databricks engineering experience and proven hands on skills in Spark optimization and cloud automation. Leadership skills is also a plus.
Job Title: Data Engineer Level 2
Location: Cincinnati, OH
Contract
What’s the Job?
The engineer will:
Analyze, design, and develop enterprise data solutions using Azure, Databricks, Spark, Python, and SQL.
Develop and optimize Spark/PySpark pipelines with a focus on performance tuning (skew, partitioning, caching, shuffles).
Build and support Delta Lake tables and data models for both analytical and operational use cases.
Implement cloud infrastructure automation and CI/CD workflows using Terraform, GitHub, and GitHub Actions.
Collaborate with engineering teams to enhance tools, systems, and data security for scalable, reliable solutions.
Candidate Requirements:
10 years as a Data Engineer with hands on Azure Databricks, Spark, and Python experience.
Strong SQL background; experience with Delta Live Tables (DLT) or Databricks SQL.
Experience with Azure Functions, messaging services, or orchestration tools.
Familiarity with Purview or Unity Catalog for data governance/lineage
Proficiency with Terraform, GitHub, and GitHub Actions for infrastructure and CI/CD automation.
Please prioritize candidates with strong Databricks engineering experience and proven hands on skills in Spark optimization and cloud automation. Leadership skills is also a plus.
