Data Engineer I — Build Trusted Data Pipelines (On-Site)

Servco Pacific Job Distro; Hawaii; On-site; USD 72,000 - 96,000; Full time

Job summary

Servco's Data Engineers help ensure the organization has trusted, reliable data to support business decisions. This junior role focuses on data pipelines, data quality, and learning cloud-first, code-first approaches.

As a Data Engineer I, you will work with Databricks, Python, SQL, data orchestration, warehousing and cloud-native tools, applying clean coding practices and gaining independence with guidance.

Qualifications

• 1-2 years in an IC role with exposure to SQL, Python, data integration, and cloud tooling.
• Experience with process mining, data modeling, and data warehouses.
• Familiarity with Git-based workflows and testing/debugging Python code.

Responsibilities

• Design, develop, and maintain data pipelines moving data from sources to storage/processing.
• Support logical/physical data structures for reporting, analytics, and warehousing.
• Collaborate with teams to ensure data quality, security, and availability.

Skills

Python programming

SQL programming

Data orchestration

Data transformation

Data modeling

Data warehouse management

Git workflows

Cloud tooling

Incident response

CI/CD concepts

Software tooling

Process mining

Education

Bachelors degree in CS/Info/Data Science/Analytics

Tools

Databricks

Azure

Terraform

dbt

Job description

Servco's Data Engineers help ensure the organization has trusted, reliable data to support business decisions. This junior role focuses on data pipelines, data quality, and learning cloud-first, code-first approaches.

As a Data Engineer I, you will work with Databricks, Python, SQL, data orchestration, warehousing and cloud-native tools, applying clean coding practices and gaining independence with guidance.