Next Ventures

Senior Data Engineer

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Senior Data Engineer, requiring 5+ years of Java and Scala experience, 1+ year with Apache Spark, and familiarity with Big Data technologies. The contract lasts 3 months, with a pay rate of "XX" and is based in San Francisco.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
760
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🗓️ - Date
January 12, 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
San Francisco Bay Area
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🧠 - Skills detailed
#Apache Spark #Scala #Java #Data Pipeline #Data Engineering #Data Quality #Data Processing #Batch #Security #Spark (Apache Spark) #NoSQL #Big Data #SQL (Structured Query Language)
Role description
• • This role is only accepting US Citizens or Green Card Holders - please do not apply if you are a C2C. This role will be 3 days onsite in their offices in San Francisco • • I am partnered with a global consultancy that focuses on supporting their clients development of modern, data-driven platforms. This team is responsible for building and maintaining large-scale data processing systems that power analytics, reporting, and mission-critical business functions. The consultancy are looking to hire a Senior Data Engineer with a strong software and data engineering background. You would be responsible for; Responsibilities • Design, build, and maintain scalable and reliable data pipelines and platforms • Develop batch and streaming data solutions using Apache Spark • Write high-quality, performant code in Scala and Java • Collaborate with architects, engineers, and stakeholders across multiple teams • Optimize data processing workflows for performance, scalability, and reliability • Ensure data quality, governance, and security best practices are followed • Participate in technical design discussions and contribute to architectural decisions • Support and troubleshoot production data systems Qualifications • 5+ years of Java and Scala (preference) experience • 1+ year of Spark experience • Ability to work with both structured and unstructured data using SQL and NOSQL • Demonstrate working expeirence in Big Data technologies