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7 Data Engineer jobs found in the last 30 days
Matlen Silver
| Job Title | Sr |
|---|---|
| Hiring Agency | BeBee |
| Published | Aug 28, 2026 |
| Location | Charlotte, NC |
| Division | Data Solutions and Engineering |
| Source Link | https://www.google.com |
| Job Description | Job Title: Data Engineer Location: Charlotte NC 28203 Schedule: Hybrid (3 days on-site and 2 days remote) Position: Contract Duration: 8-9 month Interview Mode: In person Employment Type: W2 Job Overview We are seeking a Data Engineer / Data Solutions Engineer to deliver end-to-end data solutions for simple to moderately complex business challenges. This role focuses on translating business needs into technical requirements, designing scalable architectures, and supporting the implementation and maintenance of robust data solutions. You will act as a technical expert, helping evaluate the right platforms and technologies while ensuring best practices are followed across reliability, scalability, performance, security, and long-term maintainability. Key Responsibilities Deliver data solutions across multiple applications, resolving moderately complex business problems with limited guidance Translate business requirements into technical specifications and scalable solution designs Participate in planning, estimation, and mentoring junior engineers Evaluate build vs. buy decisions and recommend best-fit platforms and technology stacks Lead the design and development of scalable, flexible, and maintainable data and enterprise solutions Ensure adherence to architectural standards and best practices Develop and enforce testing strategies, including unit testing, integration testing, and support for user acceptance testing Define and implement data solutions aligned with business objectives, SLAs, data quality, and observability standards Collaborate with data governance teams on data retention, privacy, and security standards Partner with data science teams to support model deployment and scalability Analyze and structure data to support business insights and decision-making Design and build operational and analytical (including self-service) data applications Contribute to infrastructure initiatives including design, cost-benefit analysis, impleme |