Data Engineering Lead – Azure Databricks

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is a Data Engineering Lead – Azure Databricks contract position in Seattle, Washington, paying up to $65.00 per hour. Requires 7+ years of experience in Databricks, Microsoft Azure, PySpark, and Python, with strong leadership and data governance skills.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
520
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🗓️ - Date discovered
September 23, 2025
🕒 - Project duration
Unknown
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🏝️ - Location type
On-site
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📄 - Contract type
W2 Contractor
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🔒 - Security clearance
Unknown
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📍 - Location detailed
Seattle, WA 98101
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🧠 - Skills detailed
#Azure Databricks #Data Governance #Data Pipeline #PySpark #Microsoft Azure #Azure #Automation #Monitoring #Data Architecture #Scala #Big Data #Python #Spark (Apache Spark) #Leadership #Data Engineering #Databricks
Role description
Job Title: Data Engineering Lead - Azure Databricks Location: Seattle, Washington Work Authorization: US Citizens or Green Card Holders only About the Role: We are seeking a highly skilled Data Engineering Lead with 7+ years of experience in Databricks, Microsoft Azure, PySpark, and Python. This role will lead large-scale, cross-functional projects, build scalable data solutions, and drive innovation in enterprise data platforms. Key Responsibilities: Lead the technical roadmap and solution design for the WFM Data Services platform. Build and optimize real-time, highly available data pipelines and infrastructure. Develop automation and monitoring frameworks with reliable metrics and KPIs. Define and implement data governance and retention policies. Drive process improvements including automation, scalability, and efficiency. Build analytics tools that deliver business insights and performance metrics. Execute proofs of concept to evaluate and adopt best-fit technologies. Collaborate with executives, product, and data teams to align solutions with business needs. Provide technical leadership, mentoring, and guidance to engineering teams. Required Skills & Qualifications: 7+ years of hands-on experience with Databricks, Microsoft Azure, PySpark, and Python. Strong expertise in data architecture, big data technologies, and automation. Proven experience leading cross-functional teams and complex projects. Background in building and supporting scalable data pipelines and frameworks. Strong understanding of data governance, retention, and monitoring practices. Excellent communication and stakeholder management skills. Job Type: Contract Pay: Up to $65.00 per hour Expected hours: 40 per week Application Question(s): Are you either a Green Card Holder or US citizen? Are you comfortable working on a complete onsite basis at the job location, Seattle? How many years of work experience do you have with Microsoft Azure? How many years of work experience do you have with Databricks? How many years of work experience do you have with PySpark? How many years of work experience do you have with Python? Work Location: In person