Servco's Data Engineers play a crucial role in ensuring the organization has the data it needs to make informed business decisions.
They acquire data from internal systems and external APIs, transform, model, and curate it so it is reliable and usable for downstream analytics and reporting.
This role requires a strong understanding of DataOps practices and the ability to operate in a cloud‐first, code‐first, agile environment.ResponsibilitiesAcquire and integrate data from a variety of sources, including internal systems and external APIs.Transform, model, and curate data to ensure reliability, quality, and usability for analytics and reporting.Use Databricks for data warehousing, data modeling, and orchestration, and Cloud Functions for serverless computing and automation.Write clean, efficient, well‐documented Python and SQL code; troubleshoot issues across pipelines and platforms.Collaborate closely with Analytics Engineers to support downstream analytics workflows.Implement and maintain data pipelines, databases, and data models following best practices such as dimensional modeling, star and snowflake schemas.Maintain dbt documentation and support day‐to‐day database administration tasks.Manage cloud-based services, primarily Azure and Databricks, including IaC with Terraform and microservices architectures.Ensure data governance, security, and compliance, including data lineage, quality, privacy,



and auditable processes.Document technical details and maintain project plans, requirements, design and test documentation.QualificationsBachelor's degree in Computer Science, Information, Data Science, Business Analytics or Information Management (preferred, not required).4–7 years of individual‐contributor experience in DataOps, data engineering, and related practices.Proficiency in Python (NumPy, Pandas, Selenium, PyTest) and SQL, version control (Git) and containerization (Docker).
Experience with data integration, logical and physical modeling, dimensional modeling, and dbt documentation.Hands‐on experience with Azure, Databricks, Terraform, and microservices architecture.Strong knowledge of data governance, security, privacy, and compliance.Experience in infrastructure cost optimization and cloud‐native design principles such as auto‐scaling and load balancing.Excellent verbal and written communication skills; ability to communicate project status, issues, and risks to stakeholders.CertificationsDatabricks Data Engineer Associate Certification (preferred).
Databricks Data Engineer Professional Certification (preferred).
Location: Honolulu, Hawaii.
This is primarily an on‐site role with up to one day per week working from home.Equal Opportunity Employer and Drug‐Free Workplace.
Pay Range: $82,****** – $125,****** per year.
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📌 Data Engineer Ii (Cesar)
🏢 Servco Pacific
📍 Cesar