Data Engineer

Robert Half Technology is seeking experienced Senior Data Engineers to support a client in the insurance industry. These individuals will play a key role in designing, developing, and maintaining scalable data pipelines, integrating data across multiple systems, and supporting cloud-based data engineering initiatives.

The ideal candidates will have strong hands-on experience with Microsoft SQL Server, Python, cloud technologies, and modern data engineering practices. This role requires individuals who can independently develop and optimize data solutions, manage complex data integrations, and support both inbound and outbound data flows.

Location: 100% Remote Duration: 6-month contract-to-hire Pay rate: $45-$55/hourly

Key Responsibilities

• Design, develop, and maintain scalable data pipelines and data integration solutions to support business and operational needs.
• Develop, optimize, and maintain SQL queries, stored procedures, and database processes within Microsoft SQL Server.
• Build and manage ETL/ELT processes to extract, transform, and load data across multiple platforms and systems.
• Utilize Python and Pandas for data transformation, processing, automation, and analysis.
• Develop and maintain cloud-based data solutions using AWS services, including Lambda, Glue, and EC2, or comparable Azure technologies.
• Design and support API integrations, event-driven architectures, and event bus technologies to facilitate inbound and outbound data exchanges.
• Work with Snowflake and other data platforms to support data ingestion, transformation, and integration.
• Implement and maintain CI/CD pipelines to support automated deployments and data engineering best practices.
• Troubleshoot data pipeline issues, optimize performance, and ensure data accuracy, reliability, and consistency.
• Collaborate with cross-functional teams, including software engineers, architects, analysts, and business stakeholders, to deliver scalable data solutions.
• Support data governance, data quality, and integration best practices across enterprise systems.
• 6–9 years of professional experience in data engineering, database development, or a related technical discipline.
• Strong hands-on experience with Microsoft SQL Server, including complex SQL development, database optimization, and data management.
• Proficiency in SQL and Python, with experience using Pandas for data manipulation and transformation.
• Experience working with AWS cloud services, particularly Lambda, Glue, and EC2. Comparable Microsoft Azure experience will also be considered.
• Experience developing and integrating APIs, event bus technologies, and event-driven data architectures.
• Experience working with Snowflake and managing inbound and outbound data integrations.
• Strong understanding of core data engineering concepts, including ETL/ELT development, data pipelines, and CI/CD processes.
• Experience designing, building, and supporting production-level data engineering solutions.
• Strong analytical, troubleshooting, and problem-solving skills.
• Ability to work independently in a remote environment while collaborating effectively with technical and business teams.

Preferred Qualifications

• Experience with Master Data Management (MDM) concepts, platforms, or implementations.
• Previous experience supporting organizations in the insurance or financial services industry.
• Familiarity with enterprise data governance, data quality, and data integration best practices.