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Work From Home Azure Data Factory Developer Jobs

Opinov8

Azure Databricks Engineer

$61.50 - $79.75/hr

Integrate data from multiple sources including APIs, databases, cloud storage, and third-party ... Work with Azure services such as ADLS Gen2, Azure Synapse Analytics, Azure SQL Database, and Azure ...

Lorven Technologies

Azure Data Engineer

$117K - $140K/yr

Advanced development and orchestration of data pipelines using Azure Data Factory/Synapse or ... from APIs, SFTP, and vendor systems. * Source control and deployment practices using Azure DevOps, ...

ACI Infotech

Data Solutions Architect

ADF(Azure Data Factory); Databricks; Python; SQL and Azure cloud JD: Required Skills & Qualifications: * Bachelor's or Master's degree in related field. * Experience in data engineering or ...

Cayuse Holdings, LLC

$28 - $30/hr

Develop and manage scalable data pipelines using Azure Data Factory, Azure Synapse Analytics, or ... Work with Machine Learning Engineers and Solution Architects to seamlessly deploy machine learning ...

Noblesoft Technologies

Data Engineer

Seattle, WA · Remote

$117K - $140K/yr

... and Azure Data Factory. • Build and maintain a metadata-driven Lakehouse architecture with ... DevOps practices for data engineering. • Experience in building multi-tenant data platforms or ...

Futran Tech Solutions Pvt. Ltd.

Data Engineer

$117K - $140K/yr

Core skills are Azure Data factory and ODS/ Warehouse development. An insurance background would be ... Build and maintain a scalable data platform that processes and transforms data from various sources ...

Diverse Lynx

Data Lead

... from ingestion and transformation to consumption and visualization. • Support production ... Data Engineering and architecture roles.(with Azure Data Factory , Azure Databricks & PySpark ...

New

Apex Informatics

Senior Data Engineer

$108K - $147K/yr

... Factory, Azure Synapse Analytics, and other Azure services to integrate and process data from ... Work closely with data scientists and analysts to enable advanced analytics and machine learning ...

Apex Informatics

Data Engineer

$117K - $140K/yr

* 5+ years of Data engineering experience with a focus on Data Warehousing * 2+ years of experience creating pipelines in Azure Data Factory (ADF) * 5+ years developing ETL using Informatica ...

Kiewit

Data Engineer-Kiewit Nuclear Solutions 1

Atlanta, GA · On-site +1

$110K - $132K/yr

Azure Data Factory * SQL Server / Azure SQL * Ensure datasets are structured for performance ... Work overtime and weekends as required. • FIELD ROLES ONLY May work at various different ...

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As of Jun 5, 2026, the average hourly pay for work from home azure data factory developer in the United States is $58.40, according to ZipRecruiter salary data. Most workers in this role earn between $52.88 and $65.62 per hour, depending on experience, location, and employer.
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Infographic showing various Work From Home Azure Data Factory Developer job openings in the United States as of May 2026, with employment types broken down into 100% Full Time. Highlights an 100% Remote job distribution, with an average salary of $121,476 per year, or $58.4 per hour.

Azure Databricks Engineer

Opinov8

Remote

$61.50 - $79.75/hr

Full-time

Posted 12 days ago

Job description

PROJECT OVERVIEW
We are looking for a skilled Azure Databricks Engineer to design, develop, and optimize scalable data pipelines and cloud-based analytics solutions using Microsoft Azure and Databricks technologies. The ideal candidate should have strong experience in big data processing, ETL/ELT workflows, PySpark, and Azure cloud services.
IN THIS ROLE, YOU WILL
  • Design, build, and maintain scalable ETL/ELT pipelines using Azure Databricks and Apache Spark;
  • Develop and optimize PySpark/Spark SQL notebooks for large-scale data processing;
  • Implement batch and real-time data ingestion pipelines using Azure Data Factory (ADF), Databricks Workflows, and Structured Streaming;
  • Manage and optimize Delta Lake/Lakehouse architecture, including Bronze, Silver, and Gold layers;
  • Integrate data from multiple sources including APIs, databases, cloud storage, and third-party systems;
  • Work with Azure services such as ADLS Gen2, Azure Synapse Analytics, Azure SQL Database, and Azure DevOps;
  • Monitor, troubleshoot, and improve pipeline performance, scalability, and cost optimization;
  • Implement data governance, security, access controls, and compliance standards using Unity Catalog and RBAC;
  • Collaborate with Data Engineers, Data Scientists, Analysts, and Product teams to deliver reliable data solutions;
  • Support CI/CD implementation, automation, and infrastructure-as-code practices.
IF YOU ARE
  • Bachelor's degree in Computer Science, Engineering, Information Technology, or a related field;
  • 5+ years of experience in Data Engineering or Big Data development;
  • Strong hands-on experience with Azure Databricks and Apache Spark;
  • Proficiency in PySpark, Spark SQL, and SQL;
  • Experience with Azure Data Factory (ADF) and Azure Data Lake Storage (ADLS);
  • Knowledge of Delta Lake, Lakehouse architecture, and data modeling concepts;
  • Experience with distributed data processing and performance tuning;
  • Familiarity with CI/CD pipelines, Git, and Azure DevOps.
NICE TO HAVE
  • Experience with Kafka, dbt, Airflow, or Snowflake.
  • Knowledge of Terraform or Infrastructure as Code (IaC).
  • Exposure to MLflow, machine learning pipelines, or MLOps.
AS AN OPINOV8R, YOU WILL HAVE
  • Digital-First Approach: Great talent knows no borders! You can work from wherever you are - we hire and collaborate with professionals worldwide.
  • Remote Work Model: Balance your professional and personal life with our flexible working conditions, empowering you to deliver your best from anywhere.
  • Exciting Projects: Dive into impactful projects across industries that challenge and spark creativity.
  • Boost Your Expertise: Grow your career with continuous learning, development opportunities, and hands-on experience.
  • Join the Best Team Ever: Collaborate with our diverse and cross-cultural team of passionate technologists and creative thinkers.
HOW'S THE HIRING PROCESS GOING
We strive to make our hiring process smooth and transparent to find the perfect match for both sides. Steps may differ depending on the role, but here's what to expect:
  • Initial Interview: If your background fits the role, we'll invite you for an interview with a Talent Acquisition Specialist.
  • Technical Interview: Depending on the position, you may complete a technical assessment or test task.
  • Client Interview
  • Final Decision: After all steps, we'll get back to you with the result and next steps.

Department Data Engineering Role Senior Data Engineer Locations LATAM, USA Remote status Fully Remote Employment type Full-time

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