Data Engineer (remote)

Claritev; McLean (VA); Remote; USD 80,000 - 100,000; Full time

Job summary

Claritev is seeking a Data Engineer (remote) to implement innovative data solutions and maintain scalable data pipelines in the healthcare sector. Ideal candidates will have a strong background in SQL, Python, and data integration, ensuring the organization’s data needs are met efficiently and securely. Join our dynamic team to make a meaningful impact in healthcare innovation.

Benefits

Medical, dental and vision coverage

401(k) + match

Generous Paid Time Off

Tuition reimbursement

Employee Assistance Program

Qualifications

• Minimum 4 years' related experience with OOP, SQL, and data modeling.
• Experience with advanced analytics tools like Python and PySpark.
• Ability to manage data pipelines and ensure data quality.

Responsibilities

• Implement data structures and maintain data pipelines.
• Collaborate with business users to understand data needs.
• Ensure compliance with HIPAA regulations.

Skills

SQL

Python

OOP

Data modeling

Data integration

Problem-solving

Education

Bachelor's degree in Computer Science

High school diploma

Tools

Azure Data Factory

Databricks

Spark

Job description

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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 Roles And Responsibilities

• Understand business processes and how they are modeled in various systems
• Work with business users, technology teams, and executives to understand their data needs to create innovative solutions to fulfil them
• Implement data structures, workflows, and integrations between enterprise platforms to ensure the accurate and timely execution of business processes.
• Maintain scalable data pipelines to support continuing increases in data volume and complexity.
• Adhere to established best practices on data integration/engineering, as well as the future of our data infrastructure
• Managing and improving the performance of our database, queries, tools, and solutions
• Creating and maintaining data warehouse, databases, tables, SQL queries, and ingestion pipelines to power report, dashboards, predictive models, and downstream analysis
• Writing complex and efficient queries to transform raw data sources into easily accessible models for our teams and reporting platforms
• Prepare data for predictive and prescriptive modeling
• Identify and analyze data patterns
• Identify ways to improve data reliability, efficiency and quality
• 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
• Collaborate, coordinate, and communicate across disciplines and departments.
• 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 considered to be a High Risk and priveleged Role.
• The position responsibilities outlined above are in no way to be construed as all encompassing. Other duties, responsibilities, and qualifications may be required and/or assigned as necessary.
  
  

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JOB REQUIREMENTS (Education, Experience, And Training)

• Minimum high school diploma and four (4) years' related experience, three (3) of which should be inclusive of experience with OOP, SQL, schema designing, data modeling, designing, building, and maintaining data processing systems. Bachelors' degree in computer science, information technology or a similarly relevant field is highly preferred.
• Experience with advanced analytics tools with Python and PySpark.
• Experience using SQL, SPARK, and Azure Data Factory (ADF).
• Experience in triaging data issues, analyzing end-to-end data pipelines and working with business users in resolving issues.
• Experience in working with data governance/data quality and data security teams and specifically data stewards and security officers in moving data pipelines into production with appropriate data quality, governance and security standards and certification.
• Experience with Databricks and SSIS are nice to have.
• Exposure to Big Data Development using Hive, Impala, Spark, and familiarity with Kafka
• Exposure to machine learning, data science, computer vision, artificial intelligence, statistics, and/or applied mathematics
• Excellent communication skills (verbal, listening and written)
• Ability to build and manage data pipelines for data structures encompassing data transformation, data models, schemas, metadata and workload management.
• Ability to work with both IT and business in integrating analytics and data science output into business processes and workflows.
• An agile learner who brings strong problem-solving skills and enjoys working as part of a technical, cross functional team to solve complex data problems
• Able to prioritize and manage multiple projects and requests at any one time
• Strong attention to detail when identifying data relationships, trends, and anomalies.
• Thinking through long-term impacts of key design decisions and handling failure scenarios.
• Ability to effectively share technical information, communicate technical issues and solutions to all levels of business
• Ability to meet strict deadlines, work on multiple tasks and work well under pressure
  
  

Compensation

The salary range for this position is $80-100k. 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 range of live and web-based professional development and educational programs to prepare you for advancement opportunities.

Your Benefits Will Include

• 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
• WA Candidates: the accrual rate is 4.61 hours every other week for the first two years of tenure before increasing with additional 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, unless the laws of the state in which the employee is located provide for more generous sick time benefits
  

EEO STATEMENT

Claritev is an Equal Opportunity Employer and complies with all applicable laws and regulations. Qualified applicants will receive consideration for employment without regard to age, race, color, religion, gender, sexual orientation, gender identity, national origin, disability or protected veteran status. If you would like more information on your EEO rights under the law, please click here.

APPLICATION DEADLINE

We will generally accept applications for at least 15 calendar days from the posting date or as long as the job remains posted.

Seniority level

• Seniority level

  Mid-Senior level

Employment type

• Employment type

  Full-time

Job function

• Job function

  Information Technology

• Industries

  Hospitals and Health Care

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