Azure Data Engineer

HTC Global Services; Grand Rapids (MI); On-site; USD 110,000 - 140,000; Full time

Benefits offered by this job

Group Health & Vision

Paid Time Off

401(k) matching

Life & Disability Insurance

Professional Development opportunities

Job summary

HTC Global Services is seeking an Azure Data Engineer to design and maintain scalable data pipelines on Azure. You will work with Azure Data Factory and Data Lake Storage to ingest, transform, and store data for cloud analytics and warehousing.

The role emphasizes building reliable ETL/ELT workflows, collaborating with stakeholders, and supporting migration of on-premises data to Azure. Strong SQL, Spark, and data modeling skills are required to drive secure, governed data platforms.

Qualifications

• Expertise in Azure Data Factory for data pipeline development and maintenance (ADF).
• Experience with Azure Data Lake Storage and enterprise-scale data lakes.
• Experience developing ETL/ELT workflows for data ingestion from multiple sources.
• Knowledge of Mapping Data Flows, SQL, and Spark for data transformation.
• Experience with incremental data loads, Change Data Capture (CDC), and data validation.
• Ability to troubleshoot and optimize data pipelines for performance and reliability.
• Knowledge of data modelling, data warehousing, and cloud data platform security/governance.
• Experience supporting on-premises data migration to Azure cloud environments.

Responsibilities

• Design, develop, and maintain data pipelines using Azure Data Factory.
• Build and manage enterprise-scale data lakes using Azure Data Lake Storage.
• Develop ETL/ELT workflows to ingest data from databases, APIs, files, and cloud apps.
• Implement data transformation using Mapping Data Flows, SQL, and Spark.
• Monitor, troubleshoot, and optimize pipelines for performance and reliability.
• Configure incremental loads, CDC, and data validation processes.
• Collaborate with analysts and stakeholders to understand data requirements.
• Design data models and support data warehousing solutions.
• Implement security, governance, and access controls for cloud data platforms.
• Create technical docs and maintain data architecture standards.
• Support migration of on-prem data to Azure cloud environments.

Skills

Azure Data Factory

Azure Data Lake Storage

ETL/ELT

Mapping Data Flows

SQL

Apache Spark

CDC

Data validation

Data modeling

Data warehousing

Security & governance

On-premise migration

Job description

Azure Data Engineer (Azure Data Factory & Azure Data Lake)

Position Overview

Job Description

Job Title: Azure Data Engineer (Azure Data Factory & Azure Data Lake)

Position Overview

Build and maintain scalable, cloud-based data integration and storage solutions using Microsoft Azure services. This role focuses on developing reliable data pipelines, managing enterprise-scale data lakes, implementing ETL/ELT workflows, and supporting cloud-based analytics and data warehousing solutions.

The ideal candidate brings expertise in Azure Data Factory, Azure Data Lake Storage, data transformation technologies, and cloud data engineering practices.

What You'll Do / Key Responsibilities

• Design, develop, and maintain data pipelines using Azure Data Factory.
• Build and manage enterprise-scale data lakes using Azure Data Lake Storage.
• Develop ETL/ELT workflows to ingest data from multiple sources, including databases, APIs, flat files, and cloud applications.
• Implement data transformation processes using Mapping Data Flows, SQL, and Spark technologies.
• Monitor, troubleshoot, and optimize data pipelines for performance and reliability.
• Configure incremental data loads, Change Data Capture (CDC), and data validation processes.
• Collaborate with data analysts, business stakeholders, and development teams to understand data requirements.
• Design data models and support data warehousing solutions.
• Implement security, governance, and access controls for cloud data platforms.
• Create technical documentation and maintain data architecture standards.
• Support the migration of on-premises data solutions to Azure cloud environments.

Required Qualifications

• Expertise in Azure Data Factory for data pipeline development and maintenance.
• Experience with Azure Data Lake Storage and enterprise-scale data lakes.
• Experience developing ETL/ELT workflows for data ingestion from multiple sources.
• Knowledge of Mapping Data Flows, SQL, and Spark technologies for data transformation.
• Experience with incremental data loads, Change Data Capture (CDC), and data validation.
• Ability to troubleshoot and optimize data pipelines for performance and reliability.
• Knowledge of data modeling, data warehousing, and cloud data platform security and governance.
• Experience supporting on-premises data migration to Azure cloud environments.

What Makes HTC A Great Place To Build Your Future

HTC Global Services wants you to join our team. Come build new things with us and advance your career. At HTC Global, you’ll collaborate with experts, work alongside clients, and be part of high-performing teams driving success together. You’ll have long-term opportunities to grow your career and develop skills in the latest emerging technologies.

At HTC Global Services, our employees have access to a comprehensive benefits package. Benefits can include Group Health (Medical, Dental, and Vision), Paid Time Off, Paid Holidays, 401(k) matching, Group Life and Disability insurance, Professional Development opportunities, Wellness programs, and a variety of other perks.

Our success as a company is built on inclusion and diversity. HTC Global Services is committed to providing a workplace free from discrimination and harassment, where every employee is treated with dignity and respect. We celebrate differences and believe that diverse cultures, perspectives, and skills drive innovation and success. HTC is an Equal Opportunity Employer and a proud National Minority Supplier. We seek to empower each individual, fostering an environment where everyone feels valued, included, and respected.

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