Data Engineer

Job summary

The Data Engineer is responsible for designing, building, and maintaining scalable data pipelines, infrastructure, and data visualization to support our data-driven decision-making processes. The scope of this job includes collaborating with data scientists, analysts, solutions partners, and other stakeholders to increase data quality, accessibility, and security.

Benefits

Qualifications

• Bachelor's degree in a related field or equivalent work experience
• At least 2-4 years of related work experience
• Preferred
• Knowledge of best practices and IT operations in an always-up, always-available service
• Experience with or knowledge of Agile Software Development methodologies
• Excellent problem solving and troubleshooting
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Responsibilities

• The Data Engineer is responsible for designing, building, and maintaining scalable data pipelines, infrastructure, and data visualization to support our data-driven decision-making processes.
• Design, implement, and optimize robust, scalable data pipelines using GCP services such as BigQuery, Cloud Dataflow, Cloud Dataproc, and Cloud Composer(or airflow).
• Ensure data pipelines are efficient, reliable, and meet business needs.
• Build, maintain, and optimize data lakes, data warehouses, and other data storage solutions, primarily leveraging BigQuery and Cloud Storage for data warehousing needs.
• Ensure solutions are scalable and high-performance.
• Integrate data from various sources, including APIs, flat files, databases, and other external systems, into cloud-based data solutions.
• Manage ETL processes to ensure smooth data flow across systems.
• Apply best practices in dimensional data modeling, schema design, and ETL processes to ensure efficient data retrieval, storage, and analytics.
• Work closely with internal teams, data scientists, analysts, and stakeholders to understand data needs, deliver actionable insights, and provide timely updates.
• Communicate effectively regarding project timelines and deliverables.
• Work with Snowflake for managing data warehouses, optimizing performance, and ensuring efficient querying and data loading processes.
• Adhere to Wel*** core values, ensure PHI data security, and adapt to changing BI

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Degrees

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