Data Engineer (remote)

Reposted 20 Days Ago
Hiring Remotely in Home, KS, USA
In-Office or Remote
110K-130K Annually
Mid level
Healthtech • Software
The Role
The Data Engineer will create innovative solutions for data management, implement and maintain data pipelines, ensure data quality, and collaborate with various teams to support business processes in healthcare.
Summary Generated by Built In
Job Summary & Responsibilities

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:

1.) Understand business processes and how they are modeled in various systems
2.) Work with business users, technology teams, and executives to understand their data needs to create innovative solutions to fulfil them
3.) Implement data structures, workflows, and integrations between enterprise platforms to ensure the accurate and timely execution of business processes.
4.) Maintain scalable data pipelines to support continuing increases in data volume and complexity.
5.) Adhere to established best practices on data integration/engineering, as well as the future of our data infrastructure
6.) Managing and improving the performance of our database, queries, tools, and solutions
7.) Creating and maintaining data warehouse, databases, tables, SQL queries, and ingestion pipelines to power reports (Tableau), dashboards, predictive models, and downstream analysis
8.) Writing complex and efficient queries to transform raw data sources into easily accessible models for our teams and reporting platforms
9.) Prepare data for predictive and prescriptive modeling
10.) Identify and analyze data patterns
11.) Identify ways to improve data reliability, efficiency and quality
12.) 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
13.) Collaborate, coordinate, and communicate across disciplines and departments.
14.) Ensure compliance with HIPAA regulations and requirements.
15.) Demonstrate Company's Core Competencies and values held within.
16.) Please note due to the exposure of PHI sensitive data -- this role is considered to be a High Risk and priveleged Role.
17.) 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.

Preferred Qualifications

REQUIREMENTS (Education, Experience, and Training):

  • 4+ years of experience in data engineering, data warehousing, or related roles
  • Strong proficiency in SQL and experience with relational and/or distributed databases
  • Hands-on experience building and maintaining ETL/ELT pipelines
  • Experience with big data processing frameworks (e.g., Spark, Hadoop, or similar)
  • Proficiency in at least one programming language (e.g., Python, Scala, or Java)
  • Experience working with cloud-based data platforms (AWS, Azure, or GCP)
  • Experience with data lake/lakehouse architecture
  • Strong understanding of data modeling, data quality, and data governance best practices
  • Ability to work with large, complex datasets and optimize performance
  • Solid problem-solving skills and ability to work in a collaborative team environment

 

Preferred Qualifications

  • Experience working with healthcare data, particularly: EDI transactions such as 835 (remittance advice) and 837 (claims)
  • Familiarity with clinical data and EMR/EHR systems (e.g., Epic, Cerner)
  • Experience with Oracle Cloud Infrastructure (OCI) or similar Oracle cloud services
  • Understanding of healthcare data standards (HL7, FHIR, HIPAA compliance)
  • Exposure to workflow orchestration tools (e.g., Airflow, Prefect)
  • Experience supporting analytics, reporting, or data science teams

COMPENSATION

The salary range for this position is $110-130K. 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 5 calendar days from the posting date or as long as the job remains posted.

 

#LI-MZ1

Skills Required

  • 4+ years of experience in data engineering, data warehousing, or related roles
  • Strong proficiency in SQL and experience with relational and/or distributed databases
  • Hands-on experience building and maintaining ETL/ELT pipelines
  • Experience with big data processing frameworks (e.g., Spark, Hadoop)
  • Proficiency in at least one programming language (e.g., Python, Scala, or Java)
  • Experience working with cloud-based data platforms (AWS, Azure, or GCP)
  • Experience with data lake/lakehouse architecture
  • Strong understanding of data modeling, data quality, and data governance best practices
  • Ability to work with large, complex datasets and optimize performance

Claritev Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Claritev and has not been reviewed or approved by Claritev.

  • Leave & Time Off Breadth Paid time off, paid holidays, and paid parental leave are part of the offering. Flexible schedules expand practical time‑off and scheduling options.
  • Healthcare Strength Medical (PPO and HDHP), dental, vision, and HSA/FSA options are available alongside an EAP and a Noom weight‑management program. These elements indicate broad healthcare coverage with added wellness support.
  • Flexible Benefits Work‑from‑home opportunities and flexible schedules are commonly advertised. Remote work and schedule flexibility are highlighted as positives that can offset cash‑pay concerns for some employees.

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The Company
HQ: McLean, Virginia
2,715 Employees

What We Do

Claritev is an independent and public healthcare technology, data and insights company making healthcare more transparent, fair and affordable for all. We work across the healthcare value chain to expose imbalanced and inefficient pricing practices. Led by deeply experienced analysts, negotiators and innovators, Claritev provides tech-enabled solutions and services fueled by proprietary data from over 40 years of experience. Today, along with machine learning and AI, we utilize a robust enterprise platform to deliver price transparency, improve payment accuracy, and drive more meaningful analytics and decision-making. Through Claritev, providers are able to make data-enabled decisions to optimize their service offerings, market position and ultimately deliver high-quality care. Payors and third-party administrators can deliver greater flexibility and value to plan sponsors. Employers can drive cost-efficient benefit design and patients can finally afford the care they need. By focusing on customized solutions that that improve transparency, affordability and quality for all key players, we’re igniting a more competitive marketplace — one that lowers overall costs while improving quality. Claritev brings the transparency our nation needs to see its way to a better healthcare system.

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