NetSmart-posted about 2 months ago
Full-time • Mid Level
Onsite • Overland Park, KS
1,001-5,000 employees
Professional, Scientific, and Technical Services

Netsmart is seeking a Sr. Data Engineer with expertise in Big Data and advanced ETL development. This role will focus on building and optimizing complex data pipelines using SSIS and SQL, while also leveraging cloud-native technologies such as AWS Glue and Spark. The Senior Data Engineer will ensure accurate, timely, and automated data collection to power analytics and automation tools, while driving scalability and process improvements. Strong experience with Python or Scala is preferred, along with the ability to evaluate and implement emerging data solutions that enhance data integration, governance, and delivery. As a key member of the team, you will be responsible for maintaining smooth operations of large-scale data automation environments, ensuring data accuracy, and enabling downstream analytics and automation tools. This position requires both hands-on technical ability and the vision to recommend and implement emerging technologies that enhance data integration, governance, and delivery. This position is located in our Overland Park, KS location.

  • Identify and leverage new tools, processes and methodologies to interpret data and analyze results using statistical techniques on an ad hoc and recurring basis
  • Identify methodologies and build tools to acquire data from primary or secondary data sources and maintain databases/data systems
  • Identify, analyze, and interpret trends or patterns in complex data sets; create engaging and insightful data visualizations that optimize statistical efficiency and quality
  • Proactively troubleshoot data quality issues by identifying the root cause of data discrepancies and determining and implementing recommendations for resolution
  • Prioritize business and information needs
  • Identify, define and quantify process improvement opportunities
  • Bachelor's degree in Mathematics, Computer Science, Statistics, Economics, Information Management or related field
  • At least 4 years of data analysis work experience including data management, transformation and visualization
  • Experience with reporting packages (Microsoft SSRS, SAP Crystal Reports, etc.) and industry leading BI tools such as Tableau, Qlik, or Power BI
  • Experience with SQL and RDBMS databases
  • Programming languages and coding technologies such as Java, .NET, Python, XML, JavaScript
  • Experience analyzing large datasets from ETL frameworks
  • Experience using statistical packages for analyzing datasets (Excel, SPSS, SAS etc.)
  • Experience with relational and NoSQL database systems
  • Work experience in the healthcare industry, including clinical, financial and operational data
  • Experience working with AI/ML
  • Experience with AWS is a nice to have
  • Experience with languages such as Python, Java, Ruby, C++, Perl, SQL, Hive, Scala, Spark, Kafka
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