Data Engineer I

The Data Engineer I works with cross-functional teams to develop and support data ingestion, transformation, and reporting solutions for ZincFive's NiZn-based products, battery systems, manufacturing operations, and supporting technologies. This role contributes to the development and operation of data pipelines within ZincFive's Azure Databricks environment, helping make product, test, manufacturing, and operational data available for analysis. The Data Engineer I follows established architecture, development, testing, security, and data-governance practices and takes responsibility for delivering reliable, documented work within assigned areas. This role will work onsite at ZincFive headquarters in Tualatin, Oregon and reports to the Lead Software Engineer.

Data Engineer I Job Duties

Develop and maintain data ingestion and transformation pipelines using Azure Databricks

Implement assigned 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 established 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 assist with investigating 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 the onboarding of new datasets into Unity Catalog

Follow established 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 technical issues to engineering leadership and project stakeholders

Work with cross-functional teams to understand data requirements and deliver defined 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

Job Requirements

Bachelor's degree in computer science, data science, software engineering, information systems, engineering, or a related field

0-2 years of professional experience in data engineering, software development, analytics engineering, or a 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

Preferred Experience/Skills

Experience with Azure Databricks, Apache Spark, or PySpark

Familiarity with Delta Lake and medallion data architecture

Familiarity with Microsoft Azure services, particularly Azure Data Lake Storage

Familiarity with Databricks Workflows, Unity Catalog, or Databricks Asset Bundles

Experience working with REST APIs, JSON, CSV, Parquet, or time-series data

Experience creating automated tests or data-quality checks

Familiarity with Git, GitHub, CI/CD, and infrastructure or configuration as code

Familiarity with dashboards, business intelligence tools, or data visualization

Internship, academic, or project experience building an end-to-end data pipeline

Experience with industrial telemetry, manufacturing data, battery systems, laboratory test data, or Internet of Things data

Key Competencies

Attention to detail and organizational skills

Excellent communication skills – verbal and written

Good judgment with solid decision making

Customer service orientation

Teamwork and collaboration

Continuous improvement

Physical Requirements And Working Conditions

Work involves sitting, repetitive motion, occasional walking, and lifting up to 15 pounds

Normal office/lab environment

Ability to wear appropriate PPE when required

Must be able to maintain a level state of alertness while performing this job

Salary offers will depend on factors that include the location you work from, your level, education, training, specific skills, years of experience and comparison to other employees already in this role.

In addition, the successful candidate for this position will become eligible for a comprehensive set of outstanding benefits, including medical, dental, vision, life insurance, 401k, paid sick time, paid time off for vacation, paid holidays, paid community service days, professional/personal learning program, and applicable state/federal paid family leave.

ZincFive is committed to employing a diverse workforce. As an Equal Opportunity and Aff

positive Action Employer all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status. We maintain a safe workplace and perform pre-employment testing. ZincFive is a participant in E-Verify and receives employment authorization of new hires through Social Security and the Department of Homeland Security databases.

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