Data Pipeline Engineer Remote (Ohio, USA) Contract

Columbus, NE - USA

Monthly Salary: Not Disclosed

Posted on: 30+ days ago

Vacancies: 1 Vacancy

Job Summary

Job Title: Data Pipeline Engineer

Location: Remote (Ohio USA)

Employment Type: Contract Long Term

Prior experience with Cardinal is highly preferred.

Job Overview: We are seeking a highly skilled Data Pipeline Engineer to design build and optimize data pipelines in a cloud-based environment. The ideal candidate will have strong expertise in Databricks (Python & PySpark) Azure SQL and data modeling with a solid understanding of ETL/ELT design patterns. You will be responsible for ensuring the performance reliability and scalability of our data solutions while collaborating with cross-functional teams.

Key Responsibilities:

Design develop and maintain scalable and efficient data pipelines using Databricks and Azure Data Services.
Implement robust ETL/ELT frameworks for structured and unstructured data.
Build and optimize data models to support analytics reporting and machine learning workloads.
Collaborate with data architects analysts and DevOps teams to define data requirements and solutions.
Ensure data quality governance and security across all data layers.
Leverage Docker and Azure Kubernetes Service (AKS) for automation containerization and scalability.
Monitor troubleshoot and optimize data pipeline performance and resource utilization.
Document technical processes data flows and best practices.

Must-Have Skills:

Bachelors or Masters degree in Computer Science Data Engineering Information Systems or a related field.
9 Years of overall IT experience is required
Strong experience with Databricks (Python SQL PySpark).
Proficiency with Azure SQL Server (Managed Instance Azure SQL DB SQL Server on VMs).
Expertise in Data Modeling ETL/ELT frameworks and data architecture patterns.
Hands-on experience with Docker and Azure Kubernetes Service (AKS).
Experience in performance optimization pipeline orchestration and CI/CD integration.

Nice-to-Have Skills:

Experience with Azure Data Factory Synapse Analytics or Power BI integration.
Familiarity with Delta Lake Parquet and Data Lakehouse architectures.
Exposure to DevOps practices and infrastructure as code (IaC) in Azure.

Job Title: Data Pipeline Engineer Location: Remote (Ohio USA) Employment Type: Contract Long Term Prior experience with Cardinal is highly preferred. Job Overview: We are seeking a highly skilled Data Pipeline Engineer to design build and optimize data pipelines in a cloud-based environment. T...