TechClub Inc
Senior Data Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Senior Data Engineer on a long-term W2 contract, requiring 12+ years of experience, with expertise in Apache Spark, Scala, and Azure Databricks. A Bachelor's degree in a related field is mandatory.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
Unknown
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🗓️ - Date
February 5, 2026
🕒 - Duration
Unknown
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🏝️ - Location
Unknown
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📄 - Contract
W2 Contractor
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🔒 - Security
Unknown
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📍 - Location detailed
Texas, United States
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🧠 - Skills detailed
#SQL (Structured Query Language) #Azure Databricks #Compliance #Databricks #Data Engineering #Spark (Apache Spark) #Data Pipeline #Apache Spark #Data Quality #Business Analysis #Computer Science #Scala #Azure #Cloud #Strategy #Data Strategy
Role description
Job Title: Sr. Data Engineer
Experience: 12+ Yrs Must
Position: Long Term Contarct W2 - [ No c2c or 1099 ]
Must Have Skills:
⦁ Apache Spark (10+ yrs of exp)
⦁ Scala (10+ yrs of exp)
⦁ Azure Databricks (10+ yrs of exp)
Nice to Have Skills:
⦁ SQL (5+ yrs of exp)
⦁ CICD (5+ yrs of exp)
Detailed Job Description:
⦁ Act as Product Technical Lead.
⦁ Act as subject matter expert for data domain within the IT organization and work with business to author self-service data products
⦁ Collaborate with leaders, business analysts, project managers, IT architects, technical leads, and other developers, along with internal customers and cross functional teams to implement data strategy
⦁ Design and build data engineering pipeline frameworks while ensuring these are reusable, scalable, efficient, maintainable, gracefully recover from failures, reprocessing the data should be easy.
⦁ Drive data quality, best practices, coding standards, Test Driven Development, identifying single source of truth for data across systems and Quality Analytics (Mean Time to Recover, Mean Time between Failures, Patterns causing failures).
⦁ Utilize data pipelines to provide actionable insights into data quality and product performance.
⦁ Identify, design, and implement internal process improvements such as automating manual processes, optimizing data delivery, and redesigning infrastructure for greater scalability.
⦁ Contribute to the continuous improvement of data engineering across the enterprise by researching industry best practices and determining best usage of specific cloud services and tools.
⦁ Work with data squads to ensure data products are designed with privacy and compliance baked in (Privacy by design).
⦁ Work with product teams to help prioritize team objectives and initiatives/team features.
⦁ Conduct road shows on the data products across the organization.
Minimum Qualifications – Education & Prior Job Experience
⦁ Bachelor's degree in Computer Science, Computer Engineering, Technology, Information Systems (CIS/MIS), Engineering or related technical discipline, or equivalent experience/training
Job Title: Sr. Data Engineer
Experience: 12+ Yrs Must
Position: Long Term Contarct W2 - [ No c2c or 1099 ]
Must Have Skills:
⦁ Apache Spark (10+ yrs of exp)
⦁ Scala (10+ yrs of exp)
⦁ Azure Databricks (10+ yrs of exp)
Nice to Have Skills:
⦁ SQL (5+ yrs of exp)
⦁ CICD (5+ yrs of exp)
Detailed Job Description:
⦁ Act as Product Technical Lead.
⦁ Act as subject matter expert for data domain within the IT organization and work with business to author self-service data products
⦁ Collaborate with leaders, business analysts, project managers, IT architects, technical leads, and other developers, along with internal customers and cross functional teams to implement data strategy
⦁ Design and build data engineering pipeline frameworks while ensuring these are reusable, scalable, efficient, maintainable, gracefully recover from failures, reprocessing the data should be easy.
⦁ Drive data quality, best practices, coding standards, Test Driven Development, identifying single source of truth for data across systems and Quality Analytics (Mean Time to Recover, Mean Time between Failures, Patterns causing failures).
⦁ Utilize data pipelines to provide actionable insights into data quality and product performance.
⦁ Identify, design, and implement internal process improvements such as automating manual processes, optimizing data delivery, and redesigning infrastructure for greater scalability.
⦁ Contribute to the continuous improvement of data engineering across the enterprise by researching industry best practices and determining best usage of specific cloud services and tools.
⦁ Work with data squads to ensure data products are designed with privacy and compliance baked in (Privacy by design).
⦁ Work with product teams to help prioritize team objectives and initiatives/team features.
⦁ Conduct road shows on the data products across the organization.
Minimum Qualifications – Education & Prior Job Experience
⦁ Bachelor's degree in Computer Science, Computer Engineering, Technology, Information Systems (CIS/MIS), Engineering or related technical discipline, or equivalent experience/training
