Data Engineer

Hudson Manpower • Full-time • Blue Ash, Ohio, United States • $40 - $42 / hour • 15h ago

For over half a decade, Hudson Manpower has been a trusted partner in delivering specialized talent and technology solutions across IT, Energy, and Engineering industries worldwide. We work closely with startups, mid-sized firms, and Fortune 500 clients to support their digital transformation journeys. Our teams are empowered to bring fresh ideas, shape innovative solutions, and drive meaningful impact for our clients. If you're looking to grow in an environment where your expertise is valued and your voice matters, then Hudson Manpower is the place for you. Join us and collaborate with forward thinking professionals who are passionate about building the future of work.

Position Overview:
We are seeking a Data Engineer II to join our growing data and analytics team. This role focuses on building scalable data management systems, developing high-performance pipelines, and ensuring enterprise-wide data quality and reliability. The ideal candidate combines strong technical skills with a collaborative mindset, contributing to data architecture, integration, and advanced analytics initiatives.

Key Responsibilities:

Design, build, test, and maintain data pipelines and management systems.
Develop and optimize algorithms, predictive models, and prototypes.
Ensure solutions align with business needs and industry best practices.
Integrate new data management and software engineering technologies into existing systems.
Establish processes for data mining, data modeling, and data transformation.
Develop custom software components and analytics applications.
Research and recommend new ways to leverage data for business impact.
Collaborate closely with data architects, scientists, and IT teams.
Implement and maintain disaster recovery and data resiliency procedures.
Continuously improve data quality, reliability, and performance.

Required Qualifications:

Bachelor’s degree in Computer Science, Engineering, or a related field (or equivalent work experience).
Experience with relational and non-relational databases (SQL, MySQL, NoSQL, Hadoop, MongoDB, etc.).
Proficiency in backend programming languages such as Java, Python, or Scala.
Strong understanding of data mining, data modeling, and algorithm development.
Familiarity with distributed data systems (e.g., Spark, Kafka, Hive).
Excellent problem-solving skills and ability to work in cross-functional teams.