Data Engineer

About This Opportunity

We are representing a confidential cloud infrastructure organization in their search for a Data Engineer to join their growing data platform team on a remote basis.

Our client operates at significant scale, building data systems that power analytics, business intelligence, and operational reporting across their organization. Their data engineering team owns the platform that ingests data from multiple sources, transforms it into trusted datasets, and enables data-driven decision-making across product and business teams.

This is a substantial individual contributor role where you'll own complex data products end-to-end, make meaningful architectural decisions, and work closely with stakeholders to turn ambiguous business needs into pragmatic technical solutions.

Responsibilities

• Design, deliver, and operate complex data pipelines, datasets, and platform components from requirements through production
• Translate business and analytical requirements into scalable data models, reliable data products, and clear technical implementation 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 systems
• Establish reusable tools, conventions, and automation that improve engineering productivity and reduce operational risk
• Collaborate 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 thorough documentation
• Support and mentor other engineers through code reviews, pairing sessions, and knowledge sharing
• Participate in on-call rotation and take ownership of improving the operational health of the systems you support

What We're Looking For

Must-Have Qualifications:

• 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 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-Have Qualifications:

• 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

Please note: Coding interviews are part of our client's selection process. Applicants must be authorized to work in the country where they apply and will be required to provide proof of employment eligibility.

How We Work With You

When you apply through Get A Job.ai, our talent team will review your application and conduct an initial screening to understand your background and career goals. If there's a strong match, we'll submit your profile to our client for consideration. Throughout the process, we'll be your advocate and keep you informed at every stage.

Important: Please do not attempt to contact the client directly. All communication and coordination should go through Get A Job.ai to ensure a smooth process for everyone involved.

Pay

Compensation details will be discussed during the screening process based on experience and qualifications.

Equal Opportunity: Get A Job.ai is committed to inclusive hiring practices. We welcome applications from candidates of all backgrounds and work with clients who share our commitment to diversity and equal opportunity employment.