Data Engineer

Description

Robert Half is working with a client who is looking to hire a Data Engineer to support a growing enterprise data and analytics initiative. This individual will help build and modernize the data pipelines, integrations, and cloud-based data infrastructure used across the organization.

The ideal candidate has experience working with large datasets, modern cloud data platforms, and production-grade ETL/ELT pipelines. This role will work closely with Data Architects, Analytics Engineers, BI teams, and business stakeholders as the organization expands its enterprise data capabilities.

Responsibilities

• Design, build, and maintain scalable ETL/ELT data pipelines.

• Integrate structured and unstructured data from multiple enterprise systems.

• Develop and optimize data models used for analytics and reporting.

• Build solutions within cloud data environments such as Azure, AWS, or GCP.

• Monitor data pipelines for performance, reliability, and data quality.

• Partner with analysts, architects, and application teams to understand data requirements.

• Support the migration of legacy data workloads to modern cloud platforms.

• Develop reusable frameworks and automation for data processing.

Requirements

Qualifications

• 4+ years of experience in Data Engineering or a similar role.

• Strong SQL and Python skills.

• Experience with technologies such as Databricks, Snowflake, Azure Data Factory, AWS Glue, or similar tools.

• Experience developing ETL/ELT pipelines.

• Understanding of dimensional modeling and modern data architecture.

• Experience working with APIs and enterprise application integrations.

• Familiarity with Git, CI/CD, and DevOps practices.

Experience supporting large-scale data modernization or cloud migration initiatives is highly preferred.

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