Data Engineer

Hirewell; Atlanta (GA); On-site; USD 95,000 - 125,000; Full time

Job summary

Hirewell is looking for a skilled Data Engineer based in Atlanta, Georgia, to design and maintain scalable data pipelines and integrations. This full-time position will involve developing Azure Synapse data workflows, managing REST API integrations, and ensuring data quality across systems.

The ideal candidate has 4–7+ years of experience in Data Engineering, strong technical skills in Azure Synapse Analytics, and a collaborative mindset in Agile environments.

Qualifications

• 4–7+ years of experience in Data Engineering, Integration Engineering, or related technical roles.
• Strong hands-on expertise with Azure Synapse Analytics, Spark/Python, SQL, and Azure Logic Apps.
• Proven experience developing scalable batch-processing pipelines and external data integrations.

Responsibilities

• Develop and optimize scalable Azure Synapse data pipelines using PySpark.
• Build and maintain integrations with REST APIs and external vendors.
• Manage workflow orchestration using Azure Logic Apps.

Skills

Azure Synapse Analytics

Spark/Python

SQL

Azure Logic Apps

Data Engineering

Troubleshooting

Problem-solving

Agile development

Job description

Overview

This is a Full-Time position and will require 3 days onsite

We are unable to provide Sponsorship or Visa Transfer at this time.

We are seeking a skilled Data Engineer to design, develop, and maintain scalable batch-based data pipelines and external system integrations. This role will focus on building reliable data exchange solutions between enterprise platforms, third-party vendors, and internal business systems while supporting automation, analytics, and operational efficiency initiatives.

Responsibilities

• Develop and optimize scalable Azure Synapse data pipelines and notebook-driven transformations using PySpark and Spark SQL
• Build and maintain integrations with REST APIs, SFTP processes, external vendors, and enterprise data sources
• Manage workflow orchestration using Azure Logic Apps, including scheduling, monitoring, retries, and alerting mechanisms
• Implement data quality checks, observability frameworks, and monitoring solutions to ensure high availability and SLA compliance
• Design secure data exchange solutions leveraging OAuth, Azure Key Vault, and enterprise authentication standards
• Partner with Engineering, Business Intelligence, Product, and business stakeholders to deliver scalable integration and automation solutions
• Troubleshoot and improve distributed data workflows for performance, reliability, and maintainability

Qualifications

• 4–7+ years of experience in Data Engineering, Integration Engineering, or related technical roles
• Strong hands-on expertise with Azure Synapse Analytics, Spark/Python, SQL, and Azure Logic Apps
• Proven experience developing scalable batch-processing pipelines and external data integrations
• Strong analytical, troubleshooting, and problem-solving skills within distributed data environments
• Experience working in Agile development environments and collaborating with cross-functional teams

Preferred Qualifications

• Experience with Azure Data Lake, Delta Lake, and Parquet file formats
• Familiarity with Azure API Management (APIM)
• Understanding of data governance, lineage, and metadata management practices