Cloud Data Engineer – Consulting

The Planet Group; Columbus (OH); On-site; USD 69,000 - 110,000; Full time

Job summary

The Planet Group is seeking a Cloud Data Engineer in Columbus, OH to contribute to modern cloud-based data initiatives for enterprise clients. You will design and deliver scalable data pipelines and lakehouse architectures across AWS, Azure, and other environments, collaborating with clients and internal teams to solve complex business problems.

You will apply strong SQL and data engineering skills to build robust data platforms, handle ETL/ELT processes, and leverage AI-assisted tools to

Qualifications

• 2+ years of professional Data Engineering experience with ownership of deliverables.
• Experience with lakehouse patterns, Medallion Architecture, and cloud-based data platforms.

Responsibilities

• Design, develop, and support production-grade data pipelines and processing solutions.
• Build scalable data solutions in AWS, Azure, and other cloud environments.
• Translate business needs into data solutions and collaborate with stakeholders.
• Develop ETL/ELT processes for ingestion, transformation, cleansing, and delivery.
• Contribute to modern lakehouse architectures and data patterns across projects.
• Evaluate approaches and communicate tradeoffs for scalability, performance and cost.
• Move between client engagements and adapt to new domains and technologies.
• Leverage AI-assisted development tools to boost productivity and delivery.

Skills

Data pipelines

SQL

Lakehouse architecture

Medallion architecture

Event-driven processing

AWS

Azure

AI-assisted development tools

Client engagement

Communication

Job description

Pay rate: $50-$80/hour (depending on experience)

The Planet Group has partnered with a Columbus, OH based company to locate Cloud Data Engineers to join a growing consulting team supporting complex data initiatives for enterprise organizations. These are long term roles offering the opportunity to work across a variety of client engagements, industries, and technology environments over the course of your career with the firm.

You’ll contribute to the design and delivery of modern cloud-based data solutions while working directly with clients to solve challenging business and technical problems. The right person will combine strong hands‑on engineering skills with the ability to understand business needs, evaluate technical options, and communicate recommendations clearly.

This opportunity is best suited for someone who considers themselves a well-rounded data engineer rather than a specialist in one particular tool or platform.

Candidates should live within 50 miles of Columbus, OH.

What You’ll Do

• Design, develop, enhance, and support production‑grade data pipelines and data processing solutions.
• Build scalable data solutions within modern AWS, Azure, and other cloud environments.
• Work with clients and internal technical teams to understand business requirements and translate them into effective data solutions.
• Develop ETL/ELT processes supporting ingestion, transformation, cleansing, and delivery of enterprise data.
• Contribute to modern lakehouse and layered data architectures, including Bronze, Silver, and Gold patterns.
• Design and support event‑driven data processing solutions.
• Evaluate technical approaches and explain architectural tradeoffs based on scalability, performance, cost, and business requirements.
• Move between client engagements over time, adapting to new business domains, technologies, and technical challenges.
• Use modern AI and AI‑assisted development capabilities to improve engineering productivity and solution delivery.
• Collaborate with engineers, architects, business stakeholders, and client teams throughout the project lifecycle.

What We’re Looking For

• 2+ years of professional Data Engineering experience with demonstrated ownership of technical deliverables.
• Experience with several of the following:
• Architecture: Lakehouse, Medallion Architecture, event‑driven processing, cloud migration
• Development: SQL, data transformation frameworks, AI‑assisted development tools
• You do not need experience with every technology listed. Breadth, adaptability, and the ability to learn new environments are more important than checking every box.
• Hands‑on experience developing and supporting production data pipelines.
• Strong SQL skills and experience working with enterprise databases and data platforms.
• Experience with at least one major cloud ecosystem, with AWS and/or Microsoft Azure strongly preferred.
• Knowledge of modern data engineering, ETL/ELT, and data transformation patterns.
• Experience working with large or complex enterprise data environments.
• Understanding of modern data architecture concepts, including lakehouse and Medallion Architecture approaches.
• Exposure to event‑driven data processing or streaming architectures.
• Experience using AI or AI‑assisted development tools as part of the software or data engineering lifecycle.
• Ability to discuss technical architecture and recommend solutions based on both technical and business considerations.
• Strong communication skills and confidence working directly with clients and stakeholders.
• An adaptable, curious approach to technology and an interest in continually learning new platforms and techniques.