Data Engineer

Onyx Pacific; Austin (TX); In loco; USD 110.000 - 154.000; Tempo pieno

Vantaggi offerti da questo lavoro

Fully stocked kitchen

Fitness facilities

Team-building activities

Descrizione del lavoro

Onyx Pacific in Austin, TX is seeking a Data Engineer to design, build, and maintain data infrastructure, ensuring data accuracy and accessibility. Salary range: $110,000 - $153,947.

As part of a cross‑functional team, you will develop ETL processes, data models, and scalable pipelines using Hadoop, Spark, and SQL, with AWS or Azure experience a plus. Bachelor’s degree required.

This role offers a collaborative office environment with opportunities for professional development and growth.

Competenze

• Bachelor's degree in CS/engineering or related field or equivalent experience.
• 3-5 years of data engineering/ETL experience.
• Proficient in data processing and storage tech (Hadoop, Spark, SQL).
• Cloud platforms (AWS or Azure) experience is a plus.

Mansioni

• Design, develop, and maintain data pipelines and infrastructure.
• Collaborate with cross-functional teams to ensure data accuracy and accessibility.
• Optimize data processing and storage to improve performance and reduce costs.
• Monitor and troubleshoot data-related issues.
• Stay up-to-date with data engineering trends.
• Mentor and train junior team members.

Conoscenze

Data pipelines

ETL tools

Python

Java

SQL

Hadoop

Spark

Cloud platforms

Formazione

Bachelor's degree in CS/Data Engineering

Strumenti

AWS

Azure

Descrizione del lavoro

Onyx Pacific is looking for a Data Engineer in Austin, TX, FULL_TIME position. You will design, develop, and maintain data infrastructure, ensuring data accuracy and accessibility. Salary range: $110,000 - $153,947.

As a Data Engineer, you will build and optimize data pipelines, implement data storage solutions, and ensure data quality. You will work with large datasets, develop ETL processes, and create data models.

You will collaborate with cross-functional teams, including data scientists and software developers, in a dynamic workplace. This collaboration will involve working closely with data scientists to analyze and interpret complex data sets, and with software developers to design and implement software solutions that meet the needs of the business. The office is located in Austin, TX, a vibrant city known for its thriving tech industry and diverse population. The workspace is designed to foster creativity and innovation, with open floor plans and collaborative areas that encourage interaction and idea sharing. The office also offers amenities such as a fully stocked kitchen, fitness facilities, and regular team-building activities to help employees stay healthy and engaged.

The annual salary range for this position is between $110,000 and $153,947, providing a competitive compensation package. Employees can expect comprehensive benefits, including health insurance that covers medical, dental, and vision care, as well as a retirement plan with employer matching contributions. Additionally, professional development opportunities are available, such as tuition reimbursement for further education or certifications, and access to workshops and training programs to enhance skills and advance in their careers.

You should have a Bachelor's degree in Computer Science, Data Engineering, or a related field. Experience with data warehousing, ETL tools, and programming languages like Python or Java is required.

What you will do:

• Design, develop, and maintain data pipelines and infrastructure to support our data analytics and software development initiatives.
• Collaborate with cross-functional teams to ensure that our data is accurate, reliable, and accessible to our team members and stakeholders.
• Optimize data processing and storage solutions to improve performance and reduce costs.
• Monitor and troubleshoot data-related issues to ensure the smooth operation of our data infrastructure.
• Stay up-to-date with the latest trends and best practices in data engineering and technology.
• Mentor and train junior team members to help them develop their skills and grow within the company.

What we need:

• A bachelor's degree in computer science, engineering, or a related field, or equivalent experience.
• 3-5 years of experience in data engineering, ETL development, or a similar role.
• Strong knowledge of data processing and storage technologies, such as Hadoop, Spark, and SQL.
• Experience with cloud platforms, such as AWS or Azure, is a plus.
• Excellent problem-solving and analytical skills, with the ability to work independently and as part of a team.
• Strong communication and interpersonal skills, with the ability to collaborate effectively with team members and stakeholders.