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Cotiviti · 3 weeks ago

Senior Data Engineer (Ingeniero de Datos Senior)

United States

Full-time

Remote

Senior Level

$45,000/mo - $50,000/mo

5+ years exp

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

Qualification

Data EngineeringETL PipelinesMachine LearningSQLBig Data ToolsData WarehousingMLOps ToolsData ModelingVersion ControlCI/CD PipelinesData Testing FrameworksDatabricksSnowflakeMicrosoft OfficeBilingual (English/Spanish)Communication Skills

Required

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

Preferred

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

Cotiviti

Glassdoor3.7

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.

Founded in 1979

South Jordan, UT, US

5001-10000 employees

http://www.cotiviti.com

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