Data Engineer

Solvd; United States; Remote; USD 110,000 - 160,000; Full time

Job summary

Solvd Inc. is seeking a Data Engineer to support a production Data Lake environment built on Databricks. The role focuses on keeping the system healthy, supporting transformations and reports, and owning issues in a live data platform.

This is a production-support role ideal for someone who enjoys stability, methodical problem solving, and improving existing foundation rather than building from scratch.

Qualifications

• 3–6 years of hands-on Databricks in production environments.
• Strong Python skills: read, maintain, debug, improve existing code.
• Experience supporting or maintaining data pipelines and transformation logic.
• Reliable, responsive, and comfortable owning a live system independently.

Responsibilities

• Support and maintain the production Data Lake, including transformations and reports in Databricks.
• Monitor pipeline health and investigate data issues as they arise.
• Maintain and improve existing Python-based transformation logic.
• Support end users and stakeholders with data-related requests and incidents.
• Document changes and maintain up-to-date technical documentation for the platform.

Skills

Databricks

Python

Data pipelines

Production systems

Tools

Azure

Job description

Solvd Inc. is a rapidly growing AI-native consulting and technology services firm delivering enterprise transformation across cloud, data, software engineering, and artificial intelligence. We work with industry-leading organizations to design, build, and operationalize technology solutions that drive measurable business outcomes.

Following the acquisition of Tooploox, a premier AI and product development company, Solvd now offers true end-to-end delivery—from strategic advisory and solution design to custom AI development and enterprise-scale implementation. Our capability centers combine deep technical expertise, proven delivery methodologies, and sector-specific knowledge to address complex business challenges quickly and effectively.

We are looking for a Data Engineer to support a production Data Lake environment built on Databricks. The platform is live and in active use — your role is to keep it healthy, support ongoing transformations and reports, and be the go-to person when something needs attention.

This is a support-phase engagement — a good fit for someone who enjoys owning a stable system, resolving issues methodically, and improving what's already there rather than building from scratch.

WHAT YOU'LL DO

• Support and maintain the production Data Lake, including transformations and reports hosted in Databricks.
• Monitor pipeline health and investigate and resolve data issues as they arise.
• Maintain and improve existing Python-based transformation logic.
• Support end users and stakeholders with data-related requests and incidents.
• Document changes and maintain up-to-date technical documentation for the platform.

WHAT YOU BRING

• 3–6 years of hands‑on experience with Databricks in a production environment.
• Strong Python skills — able to read, maintain, debug, and improve existing code.
• Experience supporting or maintaining data pipelines and transformation logic.
• Reliable, responsive, and comfortable owning a live system independently.

PREFERRED QUALIFICATIONS

• General understanding of Azure and how it underpins cloud data platform deployments.
• Experience working in a support or maintenance capacity on an established data platform.

When you join Solvd, you'll…

• Shape real-world AI-driven projects across key industries, working with clients from startup innovation to enterprise transformation.
• Be part of a global team with equal opportunities for collaboration across continents and cultures.
• Thrive in an inclusive environment that prioritizes continuous learning, innovation, and ethical AI standards.

Ready to make an impact?

If you're excited to build things that matter, champion responsible AI, and grow with some of the industry’s sharpest minds.

Solvd is an equal opportunity employer.