Cloud Data Developer/Engineer

About the role

A hybrid Cloud Data Developer/Engineer position is available in Nutley, NJ. This role requires 7-10+ years of experience in Data Engineering/Cloud Development.

Responsibilities

• Design and build scalable data pipelines (ingestion, transformation, validation) using AWS, Python, and Databricks (Spark/PySpark).
• Work with structured, semi-structured, and unstructured data, with preference for life sciences data formats like DICOM, FASTQ/BAM/PLINK, or SAS7BDAT.
• Hands-on experience with modern data platforms such as Databricks.
• Experience with data governance tools (e.g., Immuta) is preferred.
• 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.
• Experience with data science and machine learning concepts (e.g., scikit-learn, TensorFlow, PyTorch).
• Exposure to Databricks, including cluster usage and performance optimization; experience with 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.

Requirements

• Deep expertise in AWS data services (e.g., S3, Lambda, RDS, FSx/EFS) and cloud-native architecture best practices.
• Strong communication skills and ability to work collaboratively with internal IT partners, business partners and external vendors.

Benefits

Hybrid work model: 3 days onsite (Tue-Thu).

Pay

Negotiable based on experience and qualifications.

Schedule

Hybrid work model: 3 days onsite (Tue-Thu).