Data Engineer I: Build Scalable Azure Databricks Pipelines

Socket.dev; Imperial Stock Ranch Headquarters Complex (OR); On-site; USD 90,000 - 130,000; Full time

Benefits offered by this job

Medical insurance

Dental insurance

Vision insurance

Life insurance

401(k)

Paid time off

Paid holidays

Learning program

Paid family leave

Job summary

ZincFive is seeking a Data Engineer I to join the onsite team at our Tualatin, Oregon headquarters. You will develop and support data ingestion, transformation, and reporting solutions for NIZn-based products, battery systems, and manufacturing operations, leveraging Azure Databricks and Delta Lake in a governed data landscape.

You will work with cross-functional teams to deliver reliable data pipelines, write tests, and contribute to documentation, security, and data quality.

Qualifications

• Bachelor's degree in computer science, data science, software engineering, information systems, engineering, or related field.
• 0-2 years of professional experience in data engineering, software development, analytics engineering, or related field.
• Experience using Python and SQL through coursework, internships, personal projects, or professional work.
• Familiarity with relational data, schemas, joins, aggregations, and data-transformation concepts.
• Familiarity with data pipelines, ETL processes, and structured data formats.
• Basic understanding of software-development practices, including version control and code review.
• Ability to troubleshoot technical problems and learn unfamiliar systems.
• Ability to follow established technical designs and engineering standards.
• Technical documentation skills.
• Demonstrates effective communication, organization, collaboration, and problem-solving skills.

Responsibilities

• Develop and maintain data ingestion and transformation pipelines using Azure Databricks.
• Implement pipeline components using Python, SQL, Apache Spark, and Delta Lake.
• Ingest data from files, cloud storage, databases, APIs, telemetry systems, and other approved sources.
• Develop bronze, silver, and gold data transformations using medallion architecture patterns.
• Create and maintain Databricks notebooks, workflows, jobs, and supporting configuration.
• Write automated tests and data-quality checks to verify pipeline correctness.
• Monitor scheduled data jobs and investigate pipeline failures and data-quality issues.
• Perform data validation, reconciliation, troubleshooting, and defect resolution.
• Assist with schema development, table design, data mapping, and source-to-target documentation.
• Support onboarding of new datasets into Unity Catalog.
• Follow security, access-control, naming, lineage, and data-governance practices.
• Participate in code reviews, design reviews, sprint planning, and technical discussions.
• Maintain technical documentation for pipelines, tables, data sources, and operational procedures.
• Communicate progress, risks, and issues to engineering leadership and stakeholders.
• Work with cross-functional teams to understand data requirements and deliver data solutions.
• Support continuous improvement of pipeline reliability, performance, maintainability, and cost efficiency.
• Ability to work independently and as part of a team.
• Other duties as assigned

Skills

Python

SQL

Apache Spark

Delta Lake

Data pipelines

Data quality

Education

Bachelor's degree in computer science

Tools

Azure Databricks

Delta Lake

Unity Catalog

Databricks Workflows

Job description

ZincFive is seeking a Data Engineer I to join the onsite team at our Tualatin, Oregon headquarters. You will develop and support data ingestion, transformation, and reporting solutions for NIZn-based products, battery systems, and manufacturing operations, leveraging Azure Databricks and Delta Lake in a governed data landscape.

You will work with cross-functional teams to deliver reliable data pipelines, write tests, and contribute to documentation, security, and data quality.