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Data Engineer - Remote Eligible
Build scalable data pipelines on AWS for analytics and machine learning projects
Remote
Mid-Level
yesterday
Cotiviti
A healthcare analytics and payment accuracy solutions provider focused on improving financial performance for payers and providers.
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Data Engineer
We are seeking a Data Engineer to join our data engineering team, focusing on data processing and analytics solutions using big modern data technologies.
Responsibilities
- Develop and maintain data processing pipelines using Python, Spark, and Hadoop ecosystems.
- Build ETL workflows on AWS EMR clusters for processing large datasets.
- Assist in optimizing Spark applications for performance and reliability.
- Support data visualization and exploration using Hue and other analytics platforms.
- Work with data scientists and analysts on machine learning pipeline implementation.
- Monitor distributed computing environments and assist with troubleshooting.
Qualifications
- 3+ years of software development experience.
- Proficiency in programming languages like Python & SQL.
- Knowledge of database modeling and familiarity with ETL tools.
- Experience with big data technologies and cloud platforms (AWS).
- Working knowledge of Apache Spark (PySpark, Spark SQL) and Hadoop ecosystem.
- Experience with AWS EMR cluster operations.
- Familiarity with data exploration and workflow management tools.
- Understanding of distributed systems concepts.
- Exposure to real-time data streaming (Kafka, Kinesis).
- Basic understanding of data governance & security.
- Familiarity with machine learning concepts.
- AWS certifications or willingness to obtain.
- Experience with AWS services (S3, Glue, Redshift, Athena).
- Basic knowledge of containerization (Docker, Kubernetes).
- Understanding of CI/CD pipelines.
About Cotiviti
A healthcare analytics and payment accuracy solutions provider focused on improving financial performance for payers and providers.