DevOps Data Engineer

Reef Capital Partners•Lehi, UT

4d•$125,000 - $175,000•Onsite

About The Position

Reef is seeking an experienced and highly motivated DevOps Data Engineer to design, build, and maintain scalable data infrastructure, pipelines, and integrations that support enterprise analytics, reporting, and data-driven decision-making. This role is essential for centralizing data from multiple sources, ensuring data quality and accessibility, while automating processes and aligning data solutions with business objectives . The ideal candidate will combine expertise in data pipelines, cloud platforms, scripting, and integration with strong project collaboration skills.

Requirements

Bachelor's degree in Computer Science , Information Systems, or a related field.
5+ years of experience in data engineering, system administration, or a similar role.
Expertise with enterprise applications like Microsoft 365, Salesforce, HubSpot, Adobe, and Docusign .
Hands-on experience with data platforms (e.g., Snowflake, AWS services) and ETL processes.
Strong knowledge of SSO, API integrations, and data interoperability.
Advanced scripting skills in PowerShell (including O365 modules) and Python (mandatory).
Proficiency in Microsoft SQL scripting, reporting, and SharePoint.
Experience with data migrations, pipeline optimization, and IT/data projects.
Ability to manage multiple priorities, timelines, and stakeholders effectively.
Excellent problem-solving, analytical thinking, communication, and collaboration skills.
Detail-oriented with a proactive approach to identifying and addressing challenges.

Responsibilities

Data Infrastructure and Pipelines Design, build, and maintain data lakes (e.g., using AWS Lake Formation, S3, Snowflake, or similar platforms like Microsoft Fabric) for centralized data storage, ingestion from multiple sources, and governance.
Implement and optimize data pipelines for ETL (Extract, Transform, Load) processes, ensuring data quality, security, compliance, and handling large-scale enterprise data volumes from SaaS applications.
Data Migration and Optimization Plan and execute data migrations with a focus on preserving data integrity and minimizing downtime.
Optimize data flows and storage for advanced analytics, reporting, and real-time syncing.
Integrations and Automation Lead integration projects to enable interoperability across enterprise applications (e.g., Salesforce, Microsoft 365, HubSpot).
Develop scripts in Python and PowerShell for custom data ingestion, transformation, automation, and system efficiency tasks.
Identify automation opportunities to reduce manual data handling and enhance integrated environments.
Analytics and Reporting Support Build custom reports and visualizations using tools like Microsoft SQL scripting, Power BI, or SharePoint.
Support data governance, security best practices, and documentation.
Project Management and Collaboration Collaborate with cross-functional teams to translate business needs into technical data solutions.
Lead data-related projects, including migrations, pipeline deployments, and technology initiatives.
Research and recommend emerging technologies (e.g., cloud-native data tools) to support data-driven growth.