Senior Data Engineer

The Senior Data Engineer will design, optimize, and lead complex data engineering solutions, including pipelines and integration strategies that support advanced analytics and scalable enterprise data platforms at Netsmart Technologies.

Onsite Location

Overland Park, KS (onsite)

Role Summary

Own the technical direction for data engineering efforts, spanning pipeline design, process improvement, emerging technology evaluation, and data governance. Partner across functions to deliver reliable data foundations for analytics, data science, and enterprise reporting.

Key Responsibilities

• Design, implement, and optimize complex data pipelines using advanced SQL, ETL tools, and integration technologies.
• Work with cross-functional teams to implement effective data solutions for advanced analytics and data science initiatives.
• Drive process improvements through automation, optimized data delivery, and infrastructure redesign to improve scalability.
• Evaluate and recommend emerging data technologies to support comprehensive data integration strategies.
• Lead technical discovery activities, defining complex requirements and mapping out detailed scenarios.
• Develop and maintain data governance policies and procedures.

Required Qualifications

• Bachelor’s degree in Computer Science, Information Management, or a related field.
• At least 5 years of experience in data engineering or related roles.
• Advanced proficiency in multiple programming languages (e.g., Python, Java, Scala) and expert-level SQL knowledge.
• Extensive experience with big data technologies (Hadoop ecosystem, Spark, Kafka) and cloud-based environments (Azure, AWS, or GCP).
• Proven experience designing and implementing large-scale data warehousing solutions.
• Deep understanding of data modeling techniques and enterprise-grade ETL tools.
• Ability to solve complex analytical problems.

Relevant Technologies

• SQL, ETL tools
• Python, Java, Scala
• Hadoop ecosystem, Spark, Kafka
• Azure, AWS, GCP

Preferred Qualifications

• Experience in the healthcare industry, including clinical, financial, and operational data.
• Knowledge of machine learning and AI technologies and associated data requirements.
• Familiarity with data visualization tools and real-time data processing.
• Understanding of data privacy regulations and experience implementing compliant solutions.

Education

Bachelor's degree in Computer Science, Information Management, or related field