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[Remote] Senior Data Engineer (Ingeniero de Datos Senior)

Cotiviti

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Note: The job is a remote job and is open to candidates in USA. Cotiviti is seeking an experienced Senior Data Engineer to join their multidisciplinary data product team. This role is critical in architecting, developing, and optimizing scalable data pipelines, enabling advanced analytics and machine learning solutions across the organization.

Responsibilities

  • Design, build, and maintain efficient, scalable, and secure ETL pipelines to support data science and machine learning workloads
  • Optimize data flow and collection processes for both batch and real-time systems
  • Automate data ingestion, transformation, and integration workflows to support advanced analytics and ML pipelines
  • Monitor and troubleshoot pipeline issues to ensure reliability and scalability
  • Manage connectivity with Business Intelligence (BI) tools and other platforms
  • Implement best practices in database architecture, performance tuning, security, and cost efficiency
  • Work with various databases, data warehouses, and cloud storage systems
  • Ensure the accuracy, consistency, and reliability of data across pipelines
  • Collaborate with team members to identify, document, and resolve data issues
  • Implement data validation and quality processes and measures
  • Enforce security and compliance standards, including access controls and encryption for sensitive data
  • Partner closely with Data Scientists and the MLOps team to enable model development, scoring, and deployment
  • Build and support pipelines for model retraining, performance tracking, and feature engineering
  • Translate analytical and product requirements into scalable data architecture solutions
  • Assist in monitoring and maintaining production ML models
  • Contribute to team documentation and knowledge sharing on pipelines and processes
  • Mentor junior engineers and promote a culture of engineering excellence and peer learning
  • Participate in code reviews, sprint planning, and architectural discussions
  • Stay current on emerging technologies in data engineering, ML infrastructure, and cloud computing
  • Complete all responsibilities as outlined in the annual performance review and/or goal setting
  • Complete all special projects and other duties as assigned

Skills

  • Typically requires a Bachelor's degree in data engineering, big data, data analytics/science, computer science or other quantitative fields and a minimum of 5 years of relevant experience
  • OR Master's degree with a minimum of 3 years of relevant experience
  • OR PhD with no experience
  • Minimum of 5 years of professional experience in data engineering, with hands-on work supporting machine learning or data science teams
  • Proven experience working with big data tools and platforms such as Spark, Hadoop, Oracle, or AWS S3
  • Advanced proficiency in SQL, with experience in databases like SQL Server, MySQL, or Oracle
  • Strong understanding of data modeling for ML, including feature store management and serving strategies
  • Hands-on experience in building ETL pipelines, data warehousing solutions, and integrating analytic tools
  • Proficient in version control systems, CI/CD pipelines, and data testing frameworks
  • Excellent written and verbal communication skills with the ability to engage both technical and non-technical stakeholders
  • Fully bilingual in English and Spanish (written and verbal)
  • Ability to work independently and in a self-organized team environment using agile methods
  • Highly proficient in Microsoft Office (PowerPoint, Excel, Word)
  • Highly analytical, detail-oriented, and well-organized
  • Experience with MLOps tools such as MLflow, Airflow, or Kubeflow is a plus
  • Familiarity with Databricks and/or Snowflake environments is a plus

Benefits

  • Cotiviti offers team members a competitive benefits package to address a wide range of personal and family needs.

Company Overview

  • Cotiviti enables healthcare organizations to deliver better care at lower cost through advanced technology and data analytics that improve the quality and sustainability of healthcare in the United States. It was founded in 1979, and is headquartered in South Jordan, UT, US, with a workforce of 5001-10000 employees. Its website is http://www.cotiviti.com.

Company H1B Sponsorship

  • Cotiviti has a track record of offering H1B sponsorships, with 147 in 2025, 118 in 2024, 90 in 2023, 102 in 2022, 72 in 2021, 67 in 2020. Please note that this does not guarantee sponsorship for this specific role.

Job Type

Job Type
Full Time
Location
United States

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