Data Engineer – Azure, SQL

🕒 May 6

Apply Now

Find Similar Remote Jobs

Set Up Email Alert For New Jobs

📊 Check your resume score for this job

Improve your chances of getting an interview by checking your resume score before you apply.

Upload Resume

Allata

WebsiteLinkedInAll Job Openings

201 - 500 employees

🤝 B2B

B2B • Consulting • Technology

Allata is a global consulting firm that helps businesses achieve digital excellence by crafting unique customer experiences, identifying revenue-generating opportunities, and improving operational efficiencies. They offer a wide range of services including strategic services, technology and cloud solutions, data and insights, and artificial intelligence development. Allata's approach is experience-led, strategy-aligned, tech-enabled, and data-driven. They work across multiple industries such as automotive, financial services, health and life sciences, high tech, logistics and transportation, among others, to drive modernization, personalization, innovation, and efficiency. With a team of former IT leaders and consulting professionals, Allata guides clients through complex digital landscapes to deliver value-based outcomes and help organizations integrate digital strategies seamlessly into their overall business strategies.

📋 Description

• Design, build, and optimize ETL/ELT pipelines in Azure cloud environments. • Develop scalable and reliable data workflows using Azure Data Factory (ADF) and other Azure data services. • Build and maintain data solutions leveraging Azure SQL and related cloud-native services. • Design and implement robust data models to support analytics, reporting, and downstream integrations. • Develop and support API-based integrations across internal and external systems. • Implement data models following modern Data Lakehouse or layered architecture principles. • Ensure data quality, consistency, and performance across ingestion, staging, and curated layers. • Collaborate with data architects, analysts, and business stakeholders to translate healthcare data requirements into scalable technical solutions. • Develop reusable data transformation logic and modular processing components. • Support deployment processes following CI/CD and DevOps best practices. • Monitor and optimize data workflows for performance, scalability, and reliability. • Contribute to data governance, security, and compliance practices relevant to healthcare environments.

🎯 Requirements

• Hands-on experience with Azure Data Services. • Experience building and maintaining data pipelines using Azure Data Factory (ADF). • Strong working knowledge of Azure SQL and relational databases. • Experience with API integrations and cloud-based data workflows. • Solid understanding of Data Modeling concepts for analytics and reporting. • Strong proficiency in SQL. • Experience designing and supporting ETL/ELT processes in cloud environments. • Familiarity with modern data architecture concepts, such as data warehousing, lakehouse, or layered data models. • Ability to work with large datasets and build scalable, reliable data solutions.

🏖️ Benefits

• Health insurance • Professional development opportunities