Senior Data Engineer

Netsmart Technologies is looking for a Senior Data Engineer to design, optimize, and lead complex data engineering solutions that support advanced analytics and scalable enterprise data platforms. Based in Overland Park, KS, this role is onsite and focuses on building reliable pipelines, integration strategies, and governance practices that enable data-driven outcomes across the organization.

You will work at the intersection of engineering and analytics, partnering with cross-functional teams to deliver data solutions for data science initiatives. The role also includes improving delivery performance through automation and infrastructure redesign, along with evaluating emerging technologies to strengthen end-to-end integration.

Responsibilities

• Design, implement, and optimize complex data pipelines using advanced SQL, ETL tools, and integration technologies.
• Collaborate with cross-functional teams to implement optimal data solutions for advanced analytics and data science initiatives.
• Spearhead process improvements, including automation, data delivery optimization, and infrastructure redesign for scalability.
• Evaluate and recommend emerging data technologies to build comprehensive data integration strategies.
• Lead technical discovery processes by defining complex requirements and mapping detailed scenarios.
• Develop and maintain data governance policies and procedures.

Requirements

• 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 (for example Python, Java, Scala) and expert-level SQL.
• Extensive experience with big data technologies including the Hadoop ecosystem, Spark, and Kafka, plus cloud environments such as 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.
• Demonstrated ability to solve complex analytical problems.

Technologies

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

Preferred

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