MultiPlan-posted 4 months ago
$125,000 - $135,000/Yr
Full-time • Senior
Remote • Naperville, IL
Professional, Scientific, and Technical Services

At Claritev, we pride ourselves on being a dynamic team of innovative professionals. Our purpose is simple - we strive to bend the cost curve in healthcare for all. Our dedication to service excellence extends to all our stakeholders - internal and external - driving us to consistently exceed expectations. We are intentionally bold, we foster innovation, we nurture accountability, we champion diversity, and empower each other to illuminate our collective potential. Be part of our amazing transformational journey as we optimize the opportunity towards becoming a leading technology, data, and innovation voice in healthcare. Onward and Upward!!! JOB SUMMARY: A Sr. Data Engineer designs, builds, and maintains the systems that collect, store, and process data for analysis and business use. They are responsible for creating data pipelines that transform raw data into usable formats for data scientists and other stakeholders. Data engineers implement data quality checks and monitoring processes to ensure data accuracy and reliability. This involves developing and maintaining databases, data warehouses, and other data infrastructure.

  • Work with business users, technology teams, and executives to understand their data needs to create innovative solutions to fulfil them.
  • Design, organize, and implement data structures, workflows, and integrations between enterprise platforms to ensure the accurate and timely execution of business processes.
  • Develop and maintain scalable data pipelines and build out new API integrations to support continuing increases in data volume and complexity.
  • Managing and improving the performance of our database, queries, tools, and solutions.
  • Creating and maintaining data warehouse, databases, tables, SQL queries, and ingestion pipelines.
  • Use a variety of tools and technologies, including SQL, Python, Java, Scala, cloud platforms, and ETL/ELT frameworks.
  • Write complex and efficient queries to transform raw data sources into easily accessible models for our teams and reporting platforms.
  • Work with analytics, data science, and wider engineering teams to help with automating data analysis and visualization needs, advise on transformation processes to populate data models, and explore ways to design and develop data infrastructure.
  • Identify and solve complex data-related problems.
  • Ensure compliance with HIPAA regulations and requirements.
  • 8+ years of progressive data engineering experience.
  • Strong experience working in the Databricks ecosystem.
  • Strong experience with advanced analytics tools for Object-Oriented/object function scripting using languages such as Python, Java or Scala.
  • Database development experience using SQL, SPARK, or BigQuery and experience with a variety of relational, NoSQL oriented databases like Hadoop, MongoDB, Cassandra.
  • Big Data Development experience using Hive, Impala, Spark, and familiarity with Kafka.
  • Computer related bachelor's degree is preferred.
  • Medical, dental and vision coverage with low deductible & copay.
  • Life insurance.
  • Short and long-term disability.
  • Paid Parental Leave.
  • 401(k) + match.
  • Employee Stock Purchase Plan.
  • Generous Paid Time Off - accrued based on years of service.
  • 10 paid company holidays.
  • Tuition reimbursement.
  • Flexible Spending Account.
  • Employee Assistance Program.
  • Sick time benefits - for eligible employees, one hour of sick time for every 30 hours worked, up to a maximum accrual of 40 hours per calendar year.
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