Consulting Data Engineer

About the role

The Consulting Data Engineer will serve as a primary technical point of contact for external technology resources, work directly with customers and end users, and interface with other technical personnel or team members to document, interpret, and finalize requirements.

Responsibilities

• Serve as a primary technical point of contact for external technology resources.
• Work directly with customers and end users.
• Interface with other technical personnel or team members to document, interpret, and finalize requirements.
• Write complex code for computer systems.
• Serve as acknowledged "go-to" person on coding, technical, and data management issues.
• Produce code that is efficient, repeatable, without defects, and adherent to best practices such as naming conventions, encapsulation, etc.
• Complete complex bug fixes and technical issues. Report issues and results, researching and identifying root causes as appropriate, documenting accordingly.
• Design and work with complex data models.
• Mentor lead data engineers interested in consultancy on development methodologies and optimization techniques.
• Work with QA/Testing staff, project managers, technical leads, and subject matter experts to plan and execute automated and performance tests.
• Develop and execute automated and performance scripts for assigned projects to successfully and consistently enable delivery of high-quality products and services on time, on budget, and to specification.
• Conduct code and project reviews, ensuring review criteria are defined, and implement procedures for ensuring quality control of project deliverables.

Requirements

• 10+ years engineering experience, data strategy experience and data management required.
• Bachelor’s Degree (Engineering/Computer Science preferred but not required); or equivalent experience required.
• Software development process expert in applicable methodologies (e.g., Agile, Waterfall).
• Expertise in industry technology language development trends.
• Expertise in data engineering and maintenance including techniques for applying best practices for overall project benefit.
• Proven expertise in the use and development of applicable desktop tool sets.
• Proven expert in partnering and leading internal and external technology resources in solving complex business needs.
• Strong interpersonal skills.
• Solid knowledge of architectural principles.
• Ability to partner and lead internal and external technology resources in solving complex business needs.
• Excellent proficiency with data manipulation language including optimization techniques.
• Expertise in development languages including but not limited to: Java/J2EE, JavaScript, JSP, C/C++, HTML, XML, SQL, Windows, UNIX, .Net., HPCC.

Pay

The U.S. National Base Pay Range: $104,900 - $174,700. Geographic differentials may apply in some locations to better reflect local market rates.