Data Engineer

Job Details: Job Title: Senior Data Engineer Location: Lansing, MI (Hybrid – Onsite 2 days/week required) Duration: 12 months (with possible extension) Interview: Onsite interview required Job Description We are seeking an experienced Senior Data Engineer to design, develop, and maintain complex, large-scale data platforms and pipelines. The ideal candidate will bring deep expertise in Databricks, cloud-based data engineering, and modern ETL frameworks, with a strong background in Agile development and enterprise data systems. This is a hybrid role requiring local candidates who can work onsite in Lansing, MI. Key Responsibilities • Design, develop, and optimize complex database systems and scalable data pipelines • Build and manage ETL processes using Databricks, Python, and Scala • Work with ElasticSearch and Kibana for data indexing, search, and visualization • Develop and maintain data solutions on AWS cloud platforms • Ensure data integrity, performance, and reliability across data warehouses • Collaborate in Agile teams following CMM/CMMI Level 3 standards and TDD practices • Support data visualization and analytics initiatives Required Skills & Experience • 12+ years of experience developing complex database systems • 8+ years of hands-on experience with Databricks • 8+ years using Python and/or Scala • 8+ years with ElasticSearch and Kibana • 8+ years working with Oracle databases • 5+ years of experience with ETL processes and data pipelines • 5+ years of experience with AWS cloud services • 5+ years in data warehousing, data visualization tools, and data integrity • 5+ years applying CMM/CMMI Level 3 methodologies • 5+ years working in Agile development environments, including TDD Additional Requirements • Hybrid role: Onsite 2 days per week (required) • Candidates must be local within a 60-mile radius of Lansing, MI • No remote-only or relocation candidates will be considered