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# Senior Data Engineer

- **Company:** Netsmart Technologies, Inc.
- **Location:** Overland Park, KS, United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Java (Programming Language), Amazon Web Services, Microsoft Azure, Big Data, Cloud Computing, Information Engineering, Data Integration, Extract Transform Load (ETL), Data Systems, Data Visualization, Apache Hadoop, Information Management, Python (Programming Language), Machine Learning, Operational Data Store, Standard Sql, Scala (Programming Language), Enterprise Data Management, Sql Optimization, Apache Spark, Information Technology, Apache Kafka, Data Delivery, Stream Processing, Data Pipelines, Programming Languages
- **Published:** October 1, 2026
- **Apply:** https://jobs.localjobnetwork.com/apply/add/88518190/1

## About the Role

Required

 * Bachelor's degree in Computer Science, Information Management, or 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 in 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.

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.

## Description

Design, optimize, and lead complex data engineering solutions, pipelines, and integration strategies to support advanced analytics and scalable enterprise data platforms., * 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, defining complex requirements and mapping out detailed scenarios.
 * Develop and maintain data governance policies and procedures.