Software Engineer (Data Engineering)

Location: Atlanta, Georgia, United States. Onsite role with 0%–25% travel; relocation is not provided.

Salary: $107,000–$125,700 annual base pay, plus a 7.5% annual incentive reference value.

Company

hirify.global is a global consumer products company building digital products and data capabilities to support customers, employees, analytics, and consumer experiences.

What you will do

• Design, build, and maintain scalable batch and streaming data pipelines, data models, and reusable data engineering components.
• Develop and deploy data workloads on Azure services including ADLS, Azure Data Factory, Synapse, Databricks, and Microsoft Fabric.
• Apply modular design, automated testing, version control, CI/CD, and code review practices.
• Implement deployment automation, monitoring, logging, alerting, lineage, and operational controls for production data services.
• Collaborate with Product Managers, Analysts, Data Scientists, Software Engineers, and platform teams.
• Contribute to data engineering standards, design reviews, documentation, reliability, scalability, and efficiency improvements.

Requirements

• Bachelor’s degree in computer science, engineering, information systems, or a related field.
• At least 3 years of experience in data engineering, analytics engineering, software engineering, or a related discipline.
• Strong proficiency in Python and SQL, with familiarity with Java or other backend languages.
• Experience with data pipelines, transformation frameworks, data modeling, data validation, monitoring, logging, and alerting.
• Hands-on experience with Azure data services or equivalent cloud data platforms, plus Git, CI/CD, containerization concepts, and deployment automation.
• Must be currently authorized to work full time in the United States and must not require employment-based visa sponsorship.

Nice to have

• Experience with Synapse, Databricks, Snowflake, BigQuery, Redshift, Airflow, Dagster, or dbt.
• Experience with infrastructure as code, DevOps, feature engineering, and training data preparation.
• Knowledge of event-driven architecture, real-time data processing, data governance, and observability tools.
• Azure Data Engineer or equivalent cloud certification.

Culture & Benefits

• Collaborative, agile environment focused on ownership, accountability, learning, and continuous improvement.
• Emphasis on data quality, reliability, trust, inclusive behavior, and practical business outcomes.
• Medical, financial, and other benefits are offered based on the position.
• Equal opportunity employment environment.