Data Engineer

About This Opportunity

We are representing a confidential cloud infrastructure organization that is building advanced platforms for AI and machine learning workloads. Our talent team is seeking a Senior Data Engineer to join their data platform team remotely.

In this role, you will own significant portions of the data platform that powers analytics, business intelligence, and data-driven products. You'll design and deliver complex data pipelines, establish scalable data models, and ensure the reliability and trustworthiness of critical datasets as the organization scales globally.

Responsibilities

• Own the design, delivery, and operation of complex data pipelines, datasets, and platform components
• Translate business and analytical requirements into scalable data models, reliable data products, and clear technical plans
• Design and evolve data architecture, storage, processing, and orchestration patterns for large-scale workloads
• Improve data quality, observability, lineage, and incident response for critical datasets and pipelines
• Investigate and resolve challenging performance, reliability, and data-correctness issues in production
• Establish reusable tools, conventions, and automation that improve engineering productivity and reduce operational risk
• Work with product teams and business stakeholders to define data contracts, priorities, and success criteria
• Contribute to technical direction through design reviews, thoughtful trade-offs, and documentation
• Support and mentor other engineers through reviews, pairing, and knowledge sharing
• Participate in the on-call rotation and take ownership of improving the operational health of the systems you support

What We're Looking For

Must-haves:

• 5+ years of experience in data engineering, backend engineering, or a related role; or equivalent experience delivering and operating production data systems
• Proven experience independently delivering complex data pipelines or data-platform capabilities from problem definition through production operation
• Strong Python and SQL skills, including writing maintainable production code and optimizing non-trivial queries
• Hands-on experience with workflow orchestration tools such as Airflow, Prefect, or Dagster
• Strong understanding of data modeling, including designing maintainable analytical models and data contracts for multiple consumers
• Solid knowledge of data architectures and storage systems, including the trade-offs between different processing and storage approaches
• Experience designing for reliability: testing, monitoring, data-quality validation, alerting, debugging, and incident resolution
• Ability to make technical decisions under ambiguity, explain trade-offs clearly, and collaborate effectively with engineers and non-technical stakeholders

Nice-to-haves:

• Experience with real-time or event-driven data platforms and streaming technologies
• Experience building or operating cloud-native services with Docker and Kubernetes
• Familiarity with Infrastructure as Code, particularly Terraform
• Experience with data governance, access control, privacy, and compliance requirements such as GDPR or SOC 2
• Experience with data observability and quality tools or frameworks, such as Great Expectations
• Experience improving engineering standards through shared libraries, platform tooling, technical documentation, or mentoring

Note: Coding interviews are part of the selection process.

How We Work with You

When you apply through Get A Job.ai, our recruiting team will review your qualifications and screen candidates who are a strong match. We then submit qualified candidates to our client for consideration. Please do not contact the client directly—we will manage all communication and coordination throughout the interview process.

Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire.

Pay

Compensation details will be discussed during the screening process with our recruiting team.

Equal Opportunity: Get A Job.ai is committed to inclusive hiring practices. We welcome applications from candidates of all backgrounds and will accommodate specific needs during the application process upon request.