Senior Data Engineer

Senior Data Engineer

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Industry: SaaS (data-driven product environment)

Role: Senior Data Engineer

Focus: Data platform, infrastructure, and ML enablement

Location: Open globally

Timezone: Must align with US time zones (EST–PST)

Working Model: Full-time (~40 hrs/week)

Contract: Initial 6 months with extension potential

⚠️ Important: Candidates must be able to work US hours. Part-time or non-overlapping timezones will not be considered.

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Expected Responsibilities

• Designing and building scalable data pipelines (batch + streaming)
• Developing data infrastructure to support analytics and ML workflows
• Building secure, scalable APIs for data and model access
• Implementing event-driven architectures (Kafka) and orchestration (Airflow)
• Supporting Data Science and ML teams with platform capabilities
• Ensuring data observability, governance, and system reliability

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Requirements

We are looking for strong, recent hands-on experience (last 2–3 years) with the following:

Core Stack

• Kafka (streaming)
• Airflow (orchestration)
• SQL + NoSQL databases
• Cloud platforms (AWS preferred)
• API development

Infrastructure

• Docker / Kubernetes
• Infrastructure as Code (Terraform / CloudFormation)
• CI/CD pipelines
• Monitoring & observability

Bonus

• Experience supporting ML pipelines
• Exposure to tools like SageMaker or OpenAI

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The Goal of This Outreach

We'd like to understand:

• Whether you have relevant engineers available now or becoming available soon
• Indicative hourly rates (no budget confirmed yet)
• Alignment with US timezone requirements
• Relevant experience — data platform / SaaS / ML infrastructure projects; short examples or case studies are very helpful

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Next Steps

Full scope, timelines, and formal requirements will be shared exclusively through the Outforce platform once approved.

Happy to clarify anything or walk you through next steps if helpful.

Looking forward to learning whether this could be a fit for your team.