Cloud Data Engineer

OmegaHires

Cloud Data Engineer developing and maintaining cloud-based data solutions using Azure and AWS. Collaborating with teams to design ETL processes and ensure data integrity.

Posted 7/28/2026contractRemote • 🇺🇸 United StatesMid-LevelSenior💰 $50 - $120 per hourWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in developing and maintaining cloud-based data solutions, with a strong focus on ETL processes, data integrity, and security. Proficient in cloud migration projects and training junior engineers on best practices.

Highest-signal resume keywords

Azure DatabricksData MigrationETL/ELT Pipeline DevelopmentSQL ProgrammingCloud Platforms

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data EngineeringCloud Data Platform DevelopmentETL Process DesignSQL Query OptimizationData IntegrationData TransformationPerformance TuningAgile/Scrum MethodologiesData LakesLakehouse Architecture

Soft Skills

CollaborationTraining

Tools & Technologies

Microsoft AzureAWSAzure Data FactoryAWS GlueGitCI/CD ProcessesPostgreSQLAmazon AuroraAmazon RDSMicrosoft SQL Server

Industry Keywords

Cloud MigrationCloud ModernizationData IntegrityData SecurityCross-Functional Teams

Tech Stack

Tools & technologies

AWSAzureCloudETLMS SQL ServerPostgresPySparkScalaSparkSQL

About the role

Key responsibilities & impact

Develop and maintain cloud-based data solutions
Collaborate with cross-functional teams to design ETL processes
Ensure data integrity and security
Optimize data pipelines for performance
Work on cloud migration projects
Train junior data engineers on best practices

Requirements

What you’ll need

5+ years of experience in Data Engineering or Cloud Data Platform development.
Strong experience with Azure Databricks.
Hands-on experience with Microsoft Azure and AWS cloud platforms.
Experience designing and developing ETL/ELT pipelines.
Strong expertise in data migration and cloud modernization projects.
Experience with relational databases:
PostgreSQL
Amazon Aurora
Amazon RDS
Microsoft SQL Server
Strong SQL programming and query optimization skills.
Experience with data integration, transformation, and performance tuning.
Familiarity with Git and CI/CD processes.
Experience working in Agile/Scrum environments.
Preferred Qualifications:
Experience with Azure Data Factory (ADF), AWS Glue, or similar data integration tools.
Knowledge of Spark, PySpark, or Scala.
Experience with data lakes, Delta Lake, and Lakehouse architecture.

Benefits

Comp & perks

🌐 Worldwide ❌ Jobs You've Hidden ⭐️ Saved Jobs ✅ Applied Jobs ✉️ Email Alerts 👤 Account OmegaHires Website LinkedIn All Job Openings 11 - 50 employees 🎯 Recruiter 🏢 Enterprise Recruitment
Enterprise
IT Services OmegaHires is a full-service digital and enterprise IT staffing firm that focuses on providing both permanent and contingent workforce solutions across various digital and enterprise technologies. The company specializes in UX development with full stack developers using modern technologies such as React, Angular, and Node. js, as well as microservices development utilizing Java, Scala, Go, and SQL. OmegaHires also provides expertise in integration and big data technologies, DevOps for automated CI/CD pipelines, and enterprise IT management including ERP and SAP systems. Committed to "responsible recruiting," OmegaHires uses unique sourcing and assessment methodologies and offers training and mentorship to ensure candidates meet the evolving needs of their clients. Cloud Data Engineer 🔥 2 minutes ago 🇺🇸 United States – Remote 💵 $50 - $120 / hour ⏳ Contract/Temporary 🟡 Mid-level 🟠 Senior ☁️ Cloud Engineer AWS Azure Cloud ETL MS SQL Server Postgres PySpark Scala Spark SQL Apply Now Find Hiring Managers Customize resume + cover letter Report problem ☆ Save ☑️ Mark as applied ❌ Hide 📋 Description
Develop and maintain cloud-based data solutions
Collaborate with cross-functional teams to design ETL processes
Ensure data integrity and security
Optimize data pipelines for performance
Work on cloud migration projects
Train junior data engineers on best practices 🎯 Requirements
5+ years of experience in Data Engineering or Cloud Data Platform development.
Strong experience with Azure Databricks.
Hands-on experience with Microsoft Azure and AWS cloud platforms.
Experience designing and developing ETL/ELT pipelines.
Strong expertise in data migration and cloud modernization projects.
Experience with relational databases:
PostgreSQL
Amazon Aurora
Amazon RDS
Microsoft SQL Server
Strong SQL programming and query optimization skills.
Experience with data integration, transformation, and performance tuning.
Familiarity with Git and CI/CD processes.
Experience working in Agile/Scrum environments.
Preferred Qualifications:
Experience with Azure Data Factory (ADF), AWS Glue, or similar data integration tools.
Knowledge of Spark, PySpark, or Scala.
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