Data Infrastructure Engineer

AllSTEM Connections
Ontario, CA, United States
6 days ago
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Role details

Contract type
Temporary contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
3 years minimum
Working hours
Regular working hours
Job source

Tech stack

Agile Methodology Amazon Web Services Automation of Tests Cloud Engineering Data Governance Data Infrastructure Dataspaces Linux Linux System Administration Apache Maven Scrum Methodology Cloud Services
+12 more
DataOps Data Processing Scripting Cloud Platform System Delivery Pipeline Git Collibra Bitbucket Data Management Software Version Control Jenkins Databricks

Job description

AllSTEM Connections participates in the E-Verify program in certain locations as required by law. Learn more about the E-Verify program. _Participation_Poster_ES.pdf

We also consider for employment qualified applicants regardless of criminal histories, consistent with legal requirements, including, if applicable, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance. Pursuant to applicable state and municipal Fair Chance Laws and Ordinances, we will consider for employment-qualified applicants with arrest and conviction records, including, if applicable, the San Francisco Fair Chance Ordinance. For Los Angeles, CA applicants: Qualified applications with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

Requirements

We are seeking a seasoned Senior Data Infrastructure Engineer to design, manage, and scale our complex, multi-region cloud environments. You will be the backbone of our data operations, ensuring our infrastructure-ranging from distributed query engines to data governance platforms-is resilient, automated, and secure. This role is ideal for a hands-on technical expert who thrives on building robust CI/CD pipelines and managing sophisticated data processing ecosystems at scale. What You’ll Do Cloud Architecture: Manage and optimize AWS multi-region, resilient cloud services with a specific focus on high-availability data infrastructure. Pipeline Engineering: Design and maintain extensive CI/CD pipelines using tools like Jenkins and Maven to ensure seamless code deployment and artifact management. Data Ecosystem Management: Administer and scale advanced data platforms including Databricks, Starburst (distributed query engines), and version control systems. Governance & Security: Implement and manage data governance and access control frameworks using Collibra and Immuta. Automation & Ops: Drive operational excellence through expert-level scripting, Linux system administration, and automated testing to minimize manual intervention. Who You Are Technically Grounded: You hold a Bachelor’s degree in CS, MIS, or a related field, backed by 5+ years of technical experience and 3+ years managing complex systems. AWS Expert: You have deep, hands-on experience with resilient, multi-region cloud architectures. Automation-First: You are proficient in scripting and Linux, with a proven track record of using Git and binary repositories (NexArtifactory) to streamline development. Agile & Collaborative: You are comfortable working in Agile environments using tools like Jira to track and deliver high-quality infrastructure improvements. Core Tech Stack Cloud: AWS (Multi-region) Data: Databricks, Starburst, Collibra, Immuta DevOps: Jenkins, Maven, Git/BitBucket, NexArtifactory Environment: Linux, Agile/Scrum Equal Opportunity Employer / Disabled / Protected Veterans

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