Data Engineer

🕒 July 9

🇺🇸 United States – Remote

💵 $78k - $120k / year

⏰ Full Time

🟢 Junior

🟡 Mid-level

🚰 Data Engineer

🦅 H1B Visa Sponsor

This company has sponsored H1B visas in the past.

👻 Ghost score 23%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Cotiviti

WebsiteLinkedInAll Job Openings

5001 - 10000 employees

🏥 Healthcare

💼 Consulting

📦 Logistics

Healthcare • Consulting • Logistics

Cotiviti is a healthcare technology and analytics company that specializes in improving payment accuracy and performance through advanced data analytics solutions. They partner with health plans, government agencies, and healthcare providers to deliver insights that enhance quality and efficiency in care delivery. With solutions such as risk adjustment, payment policy management, and member engagement, Cotiviti aims to optimize financial and clinical outcomes for the healthcare ecosystem.

📋 Description

• Design, build, and maintain ETL/ELT pipelines to ingest, process, and transform data from multiple sources • Architect and optimize data storage solutions including databases, data lakes, and warehouses • Develop and manage data workflows in Databricks, including authoring, executing, and optimizing Spark-based queries and models • Implement data quality assessment frameworks in Databricks, including profiling, validation, and monitoring of data assets • Perform data gap analysis and recommend remediation strategies • Develop and maintain a semantic layer for reporting and business analytics • Automate data processes and workflows to improve efficiency and reliability • Ensure data security, governance, and compliance in data engineering solutions • Collaborate with analytics, business, and development teams to understand requirements and deliver scalable solutions • Maintain documentation of data flows, pipelines, repositories, and semantic layers • Deliver solutions using Agile development processes and participate in code reviews

🎯 Requirements

• Bachelor’s degree in Computer Science, Information Technology or equivalent work experience • 2+ years’ experience in data engineering, designing and maintaining data pipelines and infrastructure • Experience with Databricks for data processing, pipeline development, and data quality assessment • Proficiency in Spark, Python, Scala, and SQL across multiple database platforms (Oracle, MySQL, PostgreSQL) • Experience with big data tools and distributed systems (e.g., Hadoop, Kafka, Pig) • Familiarity with data warehousing concepts and semantic layer development • Experience in data gap analysis and implementing data quality frameworks • Ability to work independently and collaboratively within Agile teams • Must be able to sit and use a computer keyboard for extended periods • Willingness to work after hours/weekends as required for major deadlines • Flexibility to participate in international work processes, including conference calls across global time zones • Knowledge of data governance, security, and compliance practices • Familiarity with infrastructure-as-code, containerization, and CI/CD pipelines for data workflows • Ability to document and communicate technical concepts to both technical and non-technical audiences • Proficient with Microsoft Office Suite (Word, Excel, PowerPoint) • Experience integrating Databricks workflows with other big data tools and platforms • Ability to collaborate with analytics teams to support business-friendly reporting solutions • Must be able to provide a dedicated, secure work area • Must be able to provide high-speed internet access/connectivity and office setup and maintenance

🏖️ Benefits

• Discretionary bonus consideration • Medical insurance coverage • Dental insurance coverage • Vision insurance coverage • Disability insurance coverage • Life insurance coverage • 401(k) savings plans • Paid family leave • 9 paid holidays per year • 17-27 days of Paid Time Off (PTO) per year, depending on specific level and length of service