Senior Data Engineer
$100kFull-time
Kforce has a client that is seeking a Senior Data Engineer in Naperville, IL. Key Responsibilities:
- Design and implement complex data solutions that are scalable, maintainable, secure, and well-tested
- Own technical solutions end-to-end, including architecture, development, testing, deployment, monitoring, and ongoing operational support
- Lead technical design discussions and evaluate architectural trade-offs to determine effective solutions
- Translate business and technical requirements into scalable data architectures and solutions
- Partner with product, analytics, QA, engineering, and other stakeholders to deliver high-quality solutions
- Develop and maintain data pipelines, integrations, and distributed data systems
- Leverage logs, metrics, and analytics to monitor system health, identify performance issues, and drive continuous improvement
- Apply strong testing, debugging, and performance optimization practices throughout the development lifecycle
- Build solutions with observability, reliability, scalability, and security in mind
- Mentor and support other engineers through technical guidance, knowledge sharing, and onboarding
- Contribute to the evolution of engineering standards, development practices, tools, and workflows
- Stay current with emerging data engineering and cloud technologies and identify opportunities to improve the organization's technical capabilities
- Bachelor's degree in Computer Science, Software Engineering, Data Engineering, or a related field, or equivalent professional experience
- 5+ years of experience in data engineering or software engineering
- Strong programming experience with Python and SQL
- Hands-on experience with Apache Spark or comparable distributed data processing technologies
- Experience working with at least one major cloud platform, such as AWS, Azure, or GCP
- Experience designing and implementing scalable, resilient data systems
- Experience with MLOps, analytics platforms, and/or business intelligence technologies
- Experience with BI tools such as Power BI, Tableau, or similar platforms
- Strong understanding of data architecture, data modeling, data integration, and data governance
- Strong understanding of APIs, integrations, distributed systems, and modern data architectures
- Strong troubleshooting, debugging, testing, and performance optimization skills
- Strong communication and stakeholder management skills
- Ability to independently navigate ambiguous technical problems and drive solutions through completion
- Experience influencing technical strategy and architecture across multiple teams
- Experience mentoring engineers and contributing to engineering best practices
- Experience working in large-scale enterprise data environments
- Strong product mindset with the ability to connect technical decisions to business outcomes
Vacancy posted 2 days ago
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