Junior Data Platform Engineer

Jobright is an AI-powered career platform that helps job seekers discover the top opportunities in the US. We are NOT a staffing agency. Jobright does not hire directly for these positions. We connect you with verified openings from employers you can trust.

Job Summary:

Oxalis is a technology product company that focuses on transforming raw data into actionable insights. As a Data Platform Engineer, you will be responsible for supporting and optimizing enterprise data pipelines, ensuring seamless data integration, storage, and governance while collaborating with various teams to develop secure and scalable data solutions.

Responsibilities:

• Design, develop, and maintain scalable ETL/ELT pipelines for integrating data from multiple sources.

• Optimize data storage, queries, and processing pipelines to ensure high performance and reliability.

• Support and maintain real-time and batch data processing solutions to meet business needs.

• Transform raw data into structured formats optimized for analytics and reporting.

• Implement and enforce data security best practices, including encryption, access controls, and audit logging.

• Work with technology teams to ensure secure data sharing and governance policies are met.

• Conduct security and compliance assessments for data protection, aligning with industry standards.

• Partner with Enterprise Architects, data owners, and business leaders to align platform capabilities with business objectives.

• Ensure accurate and efficient data flow across enterprise systems, creating robust integration workflows.

• Maintain comprehensive documentation of data processes, pipelines, and models for transparency and maintainability.

• Set up automated monitoring for data pipeline performance and reliability.

• Develop data validation rules to maintain high data quality and integrity.

• Provide performance and resource utilization reports to optimize scalability and efficiency.

Qualifications:

Required:

• 2–5 years of experience in data engineering, data platform management, and working with large datasets

• Hands-on experience with cloud platforms such as Azure, AWS, or Google Cloud

• Proficiency in modern data warehousing technologies (e.g., Snowflake, Redshift, BigQuery)

• Strong expertise in dimensional modeling, ETL/ELT development, and data transformation

• Experience with version control tools like Git

• Excellent problem-solving skills and ability to troubleshoot data integration issues

Preferred:

• Knowledge of workflow automation tools (e.g., Apache Airflow, dbt, Prefect)

• Strong proficiency in SQL and scripting languages (Python, Scala, or Java)

• Experience with streaming data technologies (e.g., Kafka, Kinesis, Spark Streaming)

• Understanding of data governance frameworks and best practices in data compliance

• Passion for continuous learning and improvement, with a keen eye for performance optimization

Company:

Public Sector. Maritime. Healthcare. Aerospace. Defense. If it’s high-stakes, high-security, or highly complex—Oxalis is built for it. Founded in 2016, the company is headquartered in Hillsboro, Oregon, USA, with a team of 11-50 employees. The company is currently Early Stage.