Brooksource
Data Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Sr. Data Engineer in Cleveland, OH, on a 6-month contract-to-hire basis, with pay depending on experience. Key skills include Python, SQL, Azure Data Factory, and AWS Glue, with a focus on data governance and cloud-based data pipelines.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
Unknown
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🗓️ - Date
January 14, 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
Cleveland, OH
-
🧠 - Skills detailed
#AWS (Amazon Web Services) #ADF (Azure Data Factory) #Scala #Databricks #Azure Data Factory #R #Big Data #Security #Batch #Data Quality #Datasets #Compliance #Data Engineering #Data Science #Data Architecture #Data Pipeline #Cloud #Predictive Modeling #Data Framework #Hadoop #Spark (Apache Spark) #ML (Machine Learning) #SQL (Structured Query Language) #Python #Data Governance #Model Deployment #Data Storage #AI (Artificial Intelligence) #Agile #Azure #"ETL (Extract #Transform #Load)" #AWS Glue #Snowflake #Storage #Deployment
Role description
Job Title: Sr. Data Engineer
Location: Cleveland, OH
Structure: 6 Contract-to-Hire
Pay: Depending on Experience
Client: A global leader in paints and coatings
Job Description:
Brooksource is in search of a Sr. Data Engineer to support a major data modernization journey, transforming how our client leverages data and AI to drive innovation across there R&D, supply chain, marketing, and operations groups. They’re building a domain-driven design environment that empowers teams to deliver scalable, high-quality data solutions. As a Data Engineer on our Data Science & AI team, you’ll play a critical role in architecting and maintaining the pipelines and platforms that fuel advanced analytics and machine learning.
Key Responsibilities:
• Design, develop, and maintain modern, cloud-based data pipelines to integrate structured and unstructured data from multiple domains.
• Implement domain-driven design principles to ensure data models align with business context and scalability needs.
• Ensure data quality, governance, and security across all stages of the pipeline.
• Collaborate with data scientists, AI engineers, and business stakeholders to deliver clean, reliable datasets for predictive modeling and advanced analytics.
• Optimize data storage and retrieval in Azure and AWS environments to support real-time and batch processing.
• Support AI/ML model deployment through APIs and automated workflows.
Qualifications:
• Proficiency in Python, SQL, and big data frameworks (Spark, Hadoop).
• Experience with Azure Data Factory, AWS Glue, and modern data architecture patterns.
• Familiarity with domain-driven design and event-driven data pipelines.
• Hands-on experience with Snowflake and Databricks for data warehousing and advanced analytics.
• Knowledge of data governance, security, and compliance best practices.
• Strong collaboration skills and ability to work in an agile, cross-functional environment.
Brooksource provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, national origin, age, sex, citizenship, disability, genetic information, gender, sexual orientation, gender identity, marital status, amnesty or status as a covered veteran in accordance with applicable federal, state, and local laws.
Job Title: Sr. Data Engineer
Location: Cleveland, OH
Structure: 6 Contract-to-Hire
Pay: Depending on Experience
Client: A global leader in paints and coatings
Job Description:
Brooksource is in search of a Sr. Data Engineer to support a major data modernization journey, transforming how our client leverages data and AI to drive innovation across there R&D, supply chain, marketing, and operations groups. They’re building a domain-driven design environment that empowers teams to deliver scalable, high-quality data solutions. As a Data Engineer on our Data Science & AI team, you’ll play a critical role in architecting and maintaining the pipelines and platforms that fuel advanced analytics and machine learning.
Key Responsibilities:
• Design, develop, and maintain modern, cloud-based data pipelines to integrate structured and unstructured data from multiple domains.
• Implement domain-driven design principles to ensure data models align with business context and scalability needs.
• Ensure data quality, governance, and security across all stages of the pipeline.
• Collaborate with data scientists, AI engineers, and business stakeholders to deliver clean, reliable datasets for predictive modeling and advanced analytics.
• Optimize data storage and retrieval in Azure and AWS environments to support real-time and batch processing.
• Support AI/ML model deployment through APIs and automated workflows.
Qualifications:
• Proficiency in Python, SQL, and big data frameworks (Spark, Hadoop).
• Experience with Azure Data Factory, AWS Glue, and modern data architecture patterns.
• Familiarity with domain-driven design and event-driven data pipelines.
• Hands-on experience with Snowflake and Databricks for data warehousing and advanced analytics.
• Knowledge of data governance, security, and compliance best practices.
• Strong collaboration skills and ability to work in an agile, cross-functional environment.
Brooksource provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, national origin, age, sex, citizenship, disability, genetic information, gender, sexual orientation, gender identity, marital status, amnesty or status as a covered veteran in accordance with applicable federal, state, and local laws.
