Integrated Resources, Inc ( IRI )
Data Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Cloud Data Developer/Engineer in Nutley, NJ, offering a 12-month W2 contract at $75-$80/hr. Requires 7-10+ years in Data Engineering, expertise in AWS, Python, Databricks, and experience with life sciences data formats.
🌎 - Country
United States
💱 - Currency
$ USD
-
💰 - Day rate
600
-
🗓️ - Date
May 30, 2026
🕒 - Duration
More than 6 months
-
🏝️ - Location
Hybrid
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📄 - Contract
W2 Contractor
-
🔒 - Security
Unknown
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📍 - Location detailed
Nutley, NJ
-
🧠 - Skills detailed
#Python #AWS (Amazon Web Services) #ML (Machine Learning) #Databricks #Data Governance #Data Science #SAS #Azure DevOps #GitHub #Scala #"ETL (Extract #Transform #Load)" #Cloud #Data Pipeline #Data Engineering #SQL (Structured Query Language) #TensorFlow #Apache Airflow #RDS (Amazon Relational Database Service) #DevOps #Tableau #R #Airflow #PySpark #Deployment #Programming #Spark (Apache Spark) #PyTorch #Kubernetes #Lambda (AWS Lambda) #Azure #S3 (Amazon Simple Storage Service)
Role description
Job title: Cloud Data Developer/Engineer
Location: Nutley NJ 07110 Hybrid work model: 3 days onsite (Tue–Thu).
Duration: 12 Months Contract (Possible extension)
Pay rate range: $75/hr - $80/hr. on W2
No C2C/C2H, the position is only on W2
Candidate local to Nutley NJ will only be considered.
Job Description:
• Experience 7-10+ years in Data Engineering/Cloud Development.
• Proven experience designing and building scalable data pipelines (ingestion, transformation, validation) using AWS, Python, and Databricks (Spark/PySpark).
• Experience working with structured, semi-structured, and unstructured data. Exposure to life sciences data formats such as DICOM, FASTQ/BAM/PLINK, or SAS7BDAT is strongly preferred.
• Hands-on experience with modern data platforms such as Databricks.
• Experience with data governance tools (e.g., Immuta) is preferred.
• Familiarity with analytics and statistical tools such as Tableau, R/Posit, or SAS is a plus.
• Deep expertise in AWS data services (e.g., S3, Lambda, RDS, FSx/EFS) and cloud-native architecture best practices.
• Strong programming skills in Python and SQL, with experience in PySpark; working knowledge of R is a plus
• Experience with CI/CD and orchestration tools such as GitHub, Azure DevOps, and Apache Airflow.
• Working knowledge of data science and machine learning concepts (e.g., scikit-learn, TensorFlow, PyTorch).
• Experience with Databricks, including cluster usage and performance optimization; exposure to Unity Catalog and platform administration is a plus.
• AWS and/or Databricks certifications are preferred.
• Experience with Kubernetes/EKS is a plus.
• Experience architecting technology solutions to meet business requirements.
• Experience managing technology projects end to end through planning, design, build, testing and deployment phases.
• Understanding of Computer System Validation for GxP vs Non-GxP technologies is preferred.
• Strong communication skills and ability to work collaboratively with internal IT partners, business partners and external vendors.
Job title: Cloud Data Developer/Engineer
Location: Nutley NJ 07110 Hybrid work model: 3 days onsite (Tue–Thu).
Duration: 12 Months Contract (Possible extension)
Pay rate range: $75/hr - $80/hr. on W2
No C2C/C2H, the position is only on W2
Candidate local to Nutley NJ will only be considered.
Job Description:
• Experience 7-10+ years in Data Engineering/Cloud Development.
• Proven experience designing and building scalable data pipelines (ingestion, transformation, validation) using AWS, Python, and Databricks (Spark/PySpark).
• Experience working with structured, semi-structured, and unstructured data. Exposure to life sciences data formats such as DICOM, FASTQ/BAM/PLINK, or SAS7BDAT is strongly preferred.
• Hands-on experience with modern data platforms such as Databricks.
• Experience with data governance tools (e.g., Immuta) is preferred.
• Familiarity with analytics and statistical tools such as Tableau, R/Posit, or SAS is a plus.
• Deep expertise in AWS data services (e.g., S3, Lambda, RDS, FSx/EFS) and cloud-native architecture best practices.
• Strong programming skills in Python and SQL, with experience in PySpark; working knowledge of R is a plus
• Experience with CI/CD and orchestration tools such as GitHub, Azure DevOps, and Apache Airflow.
• Working knowledge of data science and machine learning concepts (e.g., scikit-learn, TensorFlow, PyTorch).
• Experience with Databricks, including cluster usage and performance optimization; exposure to Unity Catalog and platform administration is a plus.
• AWS and/or Databricks certifications are preferred.
• Experience with Kubernetes/EKS is a plus.
• Experience architecting technology solutions to meet business requirements.
• Experience managing technology projects end to end through planning, design, build, testing and deployment phases.
• Understanding of Computer System Validation for GxP vs Non-GxP technologies is preferred.
• Strong communication skills and ability to work collaboratively with internal IT partners, business partners and external vendors.
