Cloud Data Developer/Engineer

Rang Technologies
Nutley, United States of America
3 days ago

Role details

Contract type
Temporary to permanent
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Senior
Compensation
$ 166K

Job location

Nutley, United States of America

Tech stack

Airflow
Amazon Web Services (AWS)
Amazon Web Services (AWS)
Azure
Big Data
Cloud Database
Cloud Engineering
Program Optimization
Computer Programming
Continuous Integration
Information Engineering
Data Governance
Data Infrastructure
Data Systems
Dicom
Github
R
Python
Performance Tuning
Systems Development Life Cycle
Cloud Services
TensorFlow
SAS (Software)
SQL Databases
System Testing
Tableau
Unstructured Data
Cloud Platform System
Data Ingestion
Build Management
PySpark
Kubernetes
Collibra
Data Analytics
Data Pipelines
GXP
Databricks

Job description

The Cloud Data Developer/Engineer will design, develop, and optimize scalable cloud-based data platforms and pipelines supporting enterprise analytics and data-driven initiatives. The ideal candidate will have strong expertise in AWS, Databricks, Python, PySpark, and modern data engineering practices. This role requires hands-on experience with large-scale data processing, cloud-native architectures, and cross-functional collaboration to deliver secure, reliable, and high-performing data solutions., * Design and build scalable data pipelines for data ingestion, transformation, validation, and delivery using AWS, Python, and Databricks.

  • Develop and optimize cloud-native data solutions supporting structured, semi-structured, and unstructured datasets.
  • Collaborate with business and technical teams to architect technology solutions aligned with business requirements.
  • Implement CI/CD processes, orchestration workflows, and data platform best practices.
  • Support data governance, security, performance tuning, and platform optimization initiatives.
  • Manage projects through planning, design, development, testing, deployment, and production support phases.

Requirements

Do you have experience in System development?, * 7-10+ years of experience in Data Engineering, Cloud Development, or related fields.

  • Strong expertise with AWS services including S3, Lambda, RDS, FSx/EFS, and cloud architecture best practices.
  • Advanced programming skills in Python, SQL, and PySpark with hands-on Databricks experience.
  • Experience building scalable data pipelines and working with structured, semi-structured, and unstructured data.
  • Experience with GitHub, Azure DevOps, Apache Airflow, CI/CD processes, and cloud-based data platforms., * Experience with life sciences data formats such as DICOM, FASTQ/BAM/PLINK, or SAS7BDAT.
  • Experience with Databricks administration, Unity Catalog, performance optimization, and data governance tools such as Immuta.
  • Familiarity with Tableau, SAS, R/Posit, machine learning frameworks, and Kubernetes/EKS.
  • AWS and/or Databricks certifications and knowledge of Computer System Validation (GxP/Non-GxP) environments.

Benefits & conditions

$75 - $80 an hour - Contract, Pulled from the full job description

  • Health insurance
  • Vision insurance
  • Dental insurance

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