Senior Data Engineer

Join WackoWave, a forward-thinking technology company in Cincinnati, Ohio, dedicated to innovation and data-driven solutions. We're looking for a Senior Data Engineer to join our dynamic team on a contract basis. This role offers a unique opportunity to advance your career by working on cutting-edge data engineering projects that directly influence business intelligence and strategic decisions. Located on-site in Cincinnati, this position is perfect for professionals seeking hands-on experience in a collaborative, Agile environment focused on continuous growth and learning. Key Responsibilities Design, develop, and maintain scalable and efficient data pipelines that support advanced analytical solutions and business intelligence initiatives, ensuring high data throughput and reliability. Utilize advanced data mining techniques to extract actionable insights from both structured and unstructured data sources, improving decision-making processes. Collaborate closely with data scientists and analysts to translate complex data requirements into robust technical specifications and solutions. Monitor system performance proactively and troubleshoot data processing workflows to minimize downtime and optimize efficiency. Implement and enforce data governance policies that guarantee data accuracy, availability, and security across all platforms. Conduct data quality assessments and optimize data workflows to enhance reliability and operational efficiency, reducing error rates by measurable margins. Document technical processes thoroughly, maintaining comprehensive records of data architecture, pipeline designs, and model implementations for team transparency and future scalability. What We're Looking For Required: Bachelor's Degree in Computer Science, Information Technology, or a related field. Minimum of 5 years of professional experience in data engineering or equivalent roles. Proficiency in data mining techniques and tools to extract meaningful insights. Strong programming skills in Python, R, and SQL for data manipulation and pipeline development. Experience with cloud platforms such as AWS, Google Cloud Platform, or Microsoft Azure. Solid understanding of data warehousing concepts and ETL (Extract, Transform, Load) processes. Preferred: Relevant certifications in data engineering or cloud technologies (e.g., AWS Certified Data Analytics, Google Professional Data Engineer). Experience working in Agile teams and familiarity with continuous integration/continuous deployment (CI/CD) pipelines. Strong communication skills and ability to work collaboratively across departments. What We Offer Competitive compensation aligned with Cincinnati market standards for senior data engineers. Health insurance coverage to support your well-being. Paid time off to maintain a healthy work-life balance. Retirement plan options to secure your financial future. Professional development opportunities including training and certifications to advance your career. Collaborative and innovative work environment fostering continuous learning and growth. Frequently Asked Questions Is this position remote or on-site? This is an on-site contract position based in Cincinnati, Ohio. Remote work is not available for this role. What is the expected contract duration? The contract length will be discussed during the interview process, typically ranging from 6 to 12 months with potential extensions based on project needs. What programming languages are essential for this role? Proficiency in Python, R, and SQL is essential for developing and maintaining data pipelines and performing data mining tasks. Are there opportunities for career advancement? Yes, WackoWave values career development and offers growth opportunities through challenging projects and professional training. What kind of data platforms will I work with? You will work with cloud platforms such as AWS, Google Cloud, or Azure, as well as traditional data warehousing and ETL tools. Does WackoWave provide