Data Engineer (Quantexa)

Join LA VISEE TECHNOLOGIES LLC, a forward-thinking leader in data-driven solutions, as a Data Engineer (Quantexa) based in Columbus, Ohio. We’re looking for a skilled professional eager to contribute to innovative projects that leverage Quantexa’s Contextual Decision Intelligence platform. This 12-month contract role offers a competitive pay rate of $70 per hour and requires full onsite presence, providing an excellent opportunity for career development in a collaborative, fast-paced environment. As a Data Engineer, you will play a critical role in designing and optimizing data pipelines that transform large datasets into actionable insights. You’ll work closely with data scientists and business teams, gaining hands-on experience with entity resolution and network analytics. This position is ideal for candidates seeking to advance their technical expertise and impact high-value analytics use cases in a growing technology company. Key Responsibilities Design and build scalable data pipelines to support Quantexa’s Contextual Decision Intelligence platform. Ingest , transform, and model large volumes of structured and unstructured data efficiently. Develop entity resolution and network analytics solutions to improve data accuracy and insights. Collaborate closely with data scientists and business stakeholders to implement end-to-end data workflows. Deploy Quantexa models into production environments ensuring reliability and performance. Monitor and optimize data quality, pipeline performance, and scalability metrics. Document technical processes and provide support for analytics use cases across teams. Ensure compliance with data governance and security standards throughout data integration. What We're Looking For Required: Bachelor’s degree in Computer Science, Engineering, or related field. 3+ years of experience in data engineering, preferably with Quantexa or similar platforms. Strong proficiency in SQL, Python, and ETL tools. Experience with big data technologies such as Hadoop, Spark, or Kafka. Familiarity with entity resolution, network analytics, or graph databases. Excellent problem-solving skills and ability to work collaboratively in cross-functional teams. Strong communication skills to translate technical concepts to business stakeholders. Preferred: Experience deploying machine learning models in production environments. Knowledge of cloud platforms like AWS, Azure, or GCP. Understanding of data governance, security, and compliance best practices. Desire for continuous learning and professional growth in data engineering and analytics. What We Offer Competitive hourly rate of $70 per hour for a 12-month contract. Health insurance coverage to support your well-being. Paid time off to maintain work-life balance. Retirement plan options to secure your future. Opportunities for career advancement and skill development in cutting-edge data technologies. Collaborative onsite work environment fostering innovation and teamwork. Frequently Asked Questions Is this position fully onsite? Yes, this role requires 5 days onsite in Columbus, Ohio, with no remote work option. What is the duration of the contract? The contract is for 12 months with potential for extension based on performance and project needs. What technologies should I be proficient in? Strong skills in SQL, Python, ETL tools, and familiarity with big data platforms like Hadoop or Spark are essential. Will I work directly with data scientists? Yes, close collaboration with data scientists and business teams is a core part of the role. Are there opportunities for professional growth? Absolutely. We encourage continuous learning and provide opportunities to expand your expertise in data engineering and analytics. What is the expected work schedule? Standard full-time hours, Monday through Friday, onsite in Columbus. For more information about data engineering careers and salary benchmarks, visit the U.S. Bureau of Labor Statistics . Ready to take the next step in yo