Techvy Corp
Senior Data Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Senior Data Engineer in Phoenix, Arizona, offering a W2 contract with a pay rate of "unknown." Requires 6+ years in big data, strong Java skills, and expertise in Spark, SQL, and cloud platforms (AWS/GCP).
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
Unknown
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🗓️ - Date
October 25, 2025
🕒 - Duration
Unknown
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🏝️ - Location
On-site
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📄 - Contract
W2 Contractor
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🔒 - Security
Unknown
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📍 - Location detailed
Phoenix, AZ
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🧠 - Skills detailed
#Scala #Hadoop #Storage #Programming #Big Data #Scrum #Pig #Cloud #Distributed Computing #Datasets #Java #Data Pipeline #Data Quality #Spark (Apache Spark) #Data Engineering #Mathematics #Data Processing #Computer Science #Data Ingestion #SQL (Structured Query Language) #"ETL (Extract #Transform #Load)" #GCP (Google Cloud Platform) #Batch #Data Modeling #PySpark #AWS (Amazon Web Services) #Python #Agile #Data Science
Role description
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• Senior Data Engineer || W2 Opportunity || On Site || Phoenix - Arizona
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• We are looking for a Senior Data Engineer with strong Java development skills and a deep understanding of big data ecosystems. The ideal candidate will have extensive hands-on experience in building and optimizing data pipelines, large-scale processing frameworks, and distributed systems.
🔹 Key Responsibilities
• Design, build, and maintain large-scale data processing systems using Java, Spark, and SQL.
• Develop and optimize streaming and batch data pipelines.
• Work with Hadoop, Spark Streaming, DataFrames, and related frameworks to handle high-volume datasets.
• Collaborate with data scientists, architects, and product teams to ensure scalable and efficient data solutions.
• Perform data ingestion, transformation, and storage across cloud environments (AWS / GCP).
• Implement and maintain best practices for data quality, reliability, and performance optimization.
• Write clean, efficient, and reusable code in Java, Python, and/or Scala.
🔹 Required Skills & Qualifications
• Bachelor’s or Master’s degree in Computer Science, Engineering, Applied Mathematics, or related field (or equivalent experience).
• 6+ years of experience as a Big Data Engineer with proven project delivery.
• Strong Java programming experience.
• Proficiency in Spark Streaming, SQL, and Hadoop ecosystems.
• Expertise in DataFrames, PySpark, Scala, Hive, Pig, and MapReduce.
• Experience with AWS or GCP data platforms.
• Strong understanding of data modeling, ETL, and distributed computing.
• Hands-on experience working in Agile / Scrum environments.
• Python experience is a huge plus.
•
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•
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• Senior Data Engineer || W2 Opportunity || On Site || Phoenix - Arizona
•
•
•
•
•
•
•
•
• We are looking for a Senior Data Engineer with strong Java development skills and a deep understanding of big data ecosystems. The ideal candidate will have extensive hands-on experience in building and optimizing data pipelines, large-scale processing frameworks, and distributed systems.
🔹 Key Responsibilities
• Design, build, and maintain large-scale data processing systems using Java, Spark, and SQL.
• Develop and optimize streaming and batch data pipelines.
• Work with Hadoop, Spark Streaming, DataFrames, and related frameworks to handle high-volume datasets.
• Collaborate with data scientists, architects, and product teams to ensure scalable and efficient data solutions.
• Perform data ingestion, transformation, and storage across cloud environments (AWS / GCP).
• Implement and maintain best practices for data quality, reliability, and performance optimization.
• Write clean, efficient, and reusable code in Java, Python, and/or Scala.
🔹 Required Skills & Qualifications
• Bachelor’s or Master’s degree in Computer Science, Engineering, Applied Mathematics, or related field (or equivalent experience).
• 6+ years of experience as a Big Data Engineer with proven project delivery.
• Strong Java programming experience.
• Proficiency in Spark Streaming, SQL, and Hadoop ecosystems.
• Expertise in DataFrames, PySpark, Scala, Hive, Pig, and MapReduce.
• Experience with AWS or GCP data platforms.
• Strong understanding of data modeling, ETL, and distributed computing.
• Hands-on experience working in Agile / Scrum environments.
• Python experience is a huge plus.
