Jobs via Dice
Data Engineer (Hybrid Onsite - W2 Contract)
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Engineer on a long-term W2 contract in Quincy, MA, requiring 5+ years of cloud development experience. Key skills include Python/Pyspark, Spark, Scala, and AWS. A Bachelor's degree and AWS/Databricks certification are preferred.
🌎 - Country
United States
💱 - Currency
$ USD
-
💰 - Day rate
Unknown
-
🗓️ - Date
January 10, 2026
🕒 - Duration
Unknown
-
🏝️ - Location
Hybrid
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📄 - Contract
W2 Contractor
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🔒 - Security
Unknown
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📍 - Location detailed
Quincy, MA
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🧠 - Skills detailed
#Programming #Big Data #ML (Machine Learning) #S3 (Amazon Simple Storage Service) #Kafka (Apache Kafka) #Cloud #Kubernetes #Databricks #Computer Science #PySpark #Python #RDS (Amazon Relational Database Service) #EC2 #Java #API (Application Programming Interface) #Lambda (AWS Lambda) #BI (Business Intelligence) #Data Engineering #Hadoop #Deployment #Spark (Apache Spark) #Airflow #RDBMS (Relational Database Management System) #SQL (Structured Query Language) #Migration #AWS (Amazon Web Services) #Database Architecture #Docker #Scala
Role description
Dice is the leading career destination for tech experts at every stage of their careers. Our client, Xoriant Corporation, is seeking the following. Apply via Dice today!
Job Title : Data Engineer
Location: Quincy, MA (3 days a week Hybrid onsite)
Duration : Long term contract
Contract: W2
Job Description:
Key Skills: Python/Pyspark, Spark, Scala, Databricks, AWS.
Education and experience Qualification
Bachelors degree in Computer Science, Information Systems, or equivalent education or work experience
Around 5+ years of experience as a developer on cloud technologies
Any AWS and/or Databricks certification will be a plus
Roles & Responsibilities:
Recognize the current application infrastructure and suggest new concepts to improve performance
Document the best practices and strategies associated with application deployment and infrastructure support
Produce reusable, efficient, and scalable programs, and also cost-effective migration strategies
Develop Data Engineering and ML pipelines in Databricks and different AWS services, including S3, EC2, API, RDS, Kinesis/Kafka and Lambda to build serverless applications
Work jointly with the IT team and other departments to migrate data engineering and ML applications to Databricks/AWS
Comfortable to work on tight timelines, when required.
Skill Sets Required:
Good decision-making and problem solving skills
Solid understanding of Databricks fundamentals/architecture and have hands on experience in setting up Databricks cluster, working in Databricks modules (Data Engineering, ML and SQL warehouse).
Knowledge on medallion architecture, DLT and unity catalog within Databricks.
Experience in migrating data from on-prem Hadoop to Databricks/AWS
Understanding of core AWS services, uses, and AWS architecture best practices
Hands-on experience in different domains, like database architecture, business intelligence, machine learning, advanced analytics, big data, etc.
Solid knowledge on Airflow
Solid knowledge on CI/CD pipeline in AWS technologies
Application migration of RDBMS, java/python applications, model code, elastic etc.
Solid programming background on scala, python
Experience with Docker and Kubernetes is a plus
Dice is the leading career destination for tech experts at every stage of their careers. Our client, Xoriant Corporation, is seeking the following. Apply via Dice today!
Job Title : Data Engineer
Location: Quincy, MA (3 days a week Hybrid onsite)
Duration : Long term contract
Contract: W2
Job Description:
Key Skills: Python/Pyspark, Spark, Scala, Databricks, AWS.
Education and experience Qualification
Bachelors degree in Computer Science, Information Systems, or equivalent education or work experience
Around 5+ years of experience as a developer on cloud technologies
Any AWS and/or Databricks certification will be a plus
Roles & Responsibilities:
Recognize the current application infrastructure and suggest new concepts to improve performance
Document the best practices and strategies associated with application deployment and infrastructure support
Produce reusable, efficient, and scalable programs, and also cost-effective migration strategies
Develop Data Engineering and ML pipelines in Databricks and different AWS services, including S3, EC2, API, RDS, Kinesis/Kafka and Lambda to build serverless applications
Work jointly with the IT team and other departments to migrate data engineering and ML applications to Databricks/AWS
Comfortable to work on tight timelines, when required.
Skill Sets Required:
Good decision-making and problem solving skills
Solid understanding of Databricks fundamentals/architecture and have hands on experience in setting up Databricks cluster, working in Databricks modules (Data Engineering, ML and SQL warehouse).
Knowledge on medallion architecture, DLT and unity catalog within Databricks.
Experience in migrating data from on-prem Hadoop to Databricks/AWS
Understanding of core AWS services, uses, and AWS architecture best practices
Hands-on experience in different domains, like database architecture, business intelligence, machine learning, advanced analytics, big data, etc.
Solid knowledge on Airflow
Solid knowledge on CI/CD pipeline in AWS technologies
Application migration of RDBMS, java/python applications, model code, elastic etc.
Solid programming background on scala, python
Experience with Docker and Kubernetes is a plus
