Data Engineer (remote) Claritev

At Claritev, we’re on a mission to bend the cost curve in healthcare for all. We are a bold, innovative, and dynamic team driven by service excellence and the desire to make a measurable impact. We’re building a future where technology, data, and creativity come together to redefine healthcare.

As we scale our transformational journey, we invite you to be part of an energized, forward-thinking team that values diversity, accountability, and collaboration. If you’re passionate about leveraging data to drive real change, we want to hear from you.

What You’ll Do

As a Data Engineer / Analyst, you’ll be at the heart of our data infrastructure—designing, building, and maintaining pipelines that power our analytics, operations, and innovation initiatives.

Core Responsibilities:

• Analyze business processes and data flows across enterprise systems.

• Collaborate with stakeholders to understand data needs and deliver tailored solutions.

• Design and maintain robust data pipelines and scalable infrastructure.

• Create, manage, and optimize data warehouses, databases, schemas, and ingestion pipelines.

• Write advanced SQL queries to support reporting, dashboards, and analytics use cases.

• Support data preparation for predictive and prescriptive models.

• Monitor and enhance database and query performance.

• Identify data quality issues, anomalies, and patterns; recommend improvements.

• Work cross-functionally with analytics, data science, and engineering teams to automate and optimize data workflows.

• Ensure data compliance with HIPAA and internal governance standards.

• Document systems, processes, and best practices to support long-term scalability.

What You Bring

Required Qualifications:

• High school diploma and 4+ years of relevant experience, including 3+ years of:

  • SQL development, schema design, and data modeling

  • Building and maintaining data pipelines and ETL processes

• Experience with:

  • Python, PySpark

  • Azure Data Factory (ADF), SQL, Spark

  • Data triaging, governance, and quality assurance

• Strong knowledge of database performance optimization

Preferred Qualifications:

• Bachelor’s degree in Computer Science, Information Technology, or a related field

• Experience with Databricks, SSIS, and Big Data tools (e.g., Hive, Kafka, Impala)

• Familiarity with data science, machine learning, and AI concepts

• Hands-on experience building scalable, production-ready data solutions

• Strong communication and collaboration skills

• Ability to balance technical work with business context and prioritize multiple projects

Soft Skills & Competencies

• Strong attention to detail with a focus on data quality and reliability

• Agile learner with a proactive problem-solving mindset

• Effective communicator who can translate technical insights for non-technical stakeholders

• Ability to manage multiple deadlines and adapt in a fast-paced environment

Compensation & Benefits

Salary Range: $80,000 – $100,000
Final offer based on experience, skills, education, and geographic location.

Your Benefits Include:

• Health Coverage: Medical, dental, and vision (low deductibles and copays)

• Financial Benefits:

  • 401(k) with company match

  • Employee Stock Purchase Plan

  • Bonus eligibility

  • Tuition reimbursement

• Time Off & Flexibility:

  • Generous PTO (based on tenure)

  • 10 paid holidays

  • Paid parental leave

  • Sick leave (1 hour per 30 hours worked, up to 40 hours/year or state-specific minimums)

  • Flexible schedules and remote work

• Other Perks:

  • Life and disability insurance (short and long-term)

  • Employee Assistance Program (EAP)

  • FSA and HSA options

  • Recognition programs and ongoing learning opportunities

Join Our Mission

We are transforming healthcare through data, technology, and innovation. Onward and Upward!

Equal Opportunity Employer

Claritev is proud to be an Equal Opportunity Employer. We are committed to fostering an inclusive, diverse workplace where everyone can thrive. All qualified applicants will receive consideration without regard to race, color, religion, gender, gender identity, sexual orientation, age, national origin, disability, or veteran status.

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