4 months ago
Raleigh, NC, USAStaff+
Base Salary
$105k - $175k/yr
Responsibilities
- Serve as a primary technical point of contact for external technology resources and work directly with customers and end users.
- Lead large multi-functional development activities and provide technical input, sizing, and budget recommendations to management.
- Write, review, debug, and optimize complex software code and system component specifications.
- Design and work with complex data models and provide expertise in data management and optimization.
- Document requirements, technical issues, root causes, specifications, and project results.
- Plan and execute automated and performance testing with QA staff, project managers, technical leads, and subject matter experts.
- Conduct code and project reviews and implement quality-control procedures for project deliverables.
- Mentor lead data engineers on development methodologies and optimization techniques.
Requirements
- 10+ years of engineering experience with data strategy and data management experience required.
- Bachelor's degree in engineering or computer science preferred, or equivalent experience required.
- Expertise in applicable software development methodologies and industry technology development trends.
- Expertise in data engineering, data maintenance, data manipulation, and optimization techniques.
- Proven expertise using and developing applicable desktop tool sets.
- Expertise partnering with and leading internal and external technology resources to solve complex business needs.
- Strong interpersonal skills and solid knowledge of architectural principles.
- Excellent proficiency with data manipulation languages and optimization techniques.
- Development language experience including Java/J2EE, JavaScript, JSP, C/C++, HTML, XML, SQL, Windows, UNIX, .NET, and HPCC.
Benefits
- Annual incentive bonus eligibility.
- Country-specific benefits are provided.
- The role is based in Raleigh, North Carolina.
- Accessibility and hiring-process accommodations are available upon request.
Tech Stack
Categories
Data Engineering