MW Partners
Data Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Engineer with a contract length of "unknown," offering a pay rate of "$XX/hour." Key skills include strong SQL expertise, Big Data technologies (Hadoop, Spark), ETL orchestration, and experience with scalable data pipelines.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
Unknown
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🗓️ - Date
June 4, 2026
🕒 - Duration
Unknown
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🏝️ - Location
Unknown
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
San Jose, CA
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🧠 - Skills detailed
#Data Science #Data Engineering #Spark (Apache Spark) #Datasets #Monitoring #Complex Queries #Hadoop #Data Integrity #Data Quality #Cloud #Scala #SQL (Structured Query Language) #"ETL (Extract #Transform #Load)" #SQL Queries #Big Data #Data Pipeline
Role description
Responsibilities and duties:
• Design, build, optimize, and maintain scalable data pipelines that support Growth Monetization initiatives.
• Write complex SQL queries to analyze A/B experiment results
• Develop and enhance ETL/ELT workflows for large-scale structured and unstructured datasets.
• Optimize pipeline performance, reliability, scalability, and data quality across distributed systems.
• Work with Big Data technologies and best practices to process high-volume datasets efficiently.
• Build automated monitoring, alerting, and validation frameworks for pipeline health and data integrity.
• Partner with Data Science, Product, Marketing, and Engineering teams to deliver actionable insights and scalable data solutions.
Requirements:
• Strong SQL expertise with the ability to write and optimize complex queries on large datasets.
• Hands-on experience with Big Data technologies such as Hadoop, Hive, Spark, or similar distributed processing frameworks.
• Experience building and optimizing scalable data pipelines in cloud and enterprise environments.
• Proficiency in ETL orchestration and workflow management tools.
• Experience with data quality, pipeline monitoring, and performance tuning.
• Ability to collaborate effectively with technical and non-technical stakeholders in a fast-paced environment.
Responsibilities and duties:
• Design, build, optimize, and maintain scalable data pipelines that support Growth Monetization initiatives.
• Write complex SQL queries to analyze A/B experiment results
• Develop and enhance ETL/ELT workflows for large-scale structured and unstructured datasets.
• Optimize pipeline performance, reliability, scalability, and data quality across distributed systems.
• Work with Big Data technologies and best practices to process high-volume datasets efficiently.
• Build automated monitoring, alerting, and validation frameworks for pipeline health and data integrity.
• Partner with Data Science, Product, Marketing, and Engineering teams to deliver actionable insights and scalable data solutions.
Requirements:
• Strong SQL expertise with the ability to write and optimize complex queries on large datasets.
• Hands-on experience with Big Data technologies such as Hadoop, Hive, Spark, or similar distributed processing frameworks.
• Experience building and optimizing scalable data pipelines in cloud and enterprise environments.
• Proficiency in ETL orchestration and workflow management tools.
• Experience with data quality, pipeline monitoring, and performance tuning.
• Ability to collaborate effectively with technical and non-technical stakeholders in a fast-paced environment.
