Senior Data Engineer

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: 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. 

 

DUTIES:

• 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.
• They use a variety of tools and technologies, including SQL, Python, Java, Scala, cloud platforms, and ETL/ELT frameworks.
• Writing 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.
• Engineers need to be able to identify and solve complex data-related problems.
• Ensure compliance with HIPAA regulations and requirements. Demonstrate Company's Core Competencies and values held within.
• Please note due to the exposure of PHI sensitive data -- this role is a High Risk and privileged role.

Qualifications

REQUIREMENTS (Education, Experience, and Training):

• 8+ years of progressive software experience in relevant technologies
• 5+ years of experience in the design of complex service-oriented systems
• Strong experience working in the Databricks ecosystem
• They use a variety of tools and technologies, including Databricks, SQL, Python, Java, Scala, cloud platforms, and ETL/ELT frameworks.
• Strong experience with advanced analytics tools for Object-Oriented/object function script 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.

 

 

COMPENSATION

The salary range for this position is $120-135K. Specific offers take into account a candidate’s education, experience and skills, as well as the candidate’s work location and internal equity. This position is also eligible for health insurance, 401k and bonus opportunity.

 

BENEFITS

We realize that our employees are instrumental to our success, and we reward them accordingly with very competitive compensation and benefits packages, an incentive bonus program, as well as recognition and awards programs.  Our work environment is friendly and supportive, and we offer flexible schedules whenever possible, as well as a wide r