Senior software engineer [h1.location_city]
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Senior software engineer • memphis tn
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Cotiviti is seeking a Senior Software Engineer to implement and maintain data platform integrations for our machine learning infrastructure.
This role will focus on building robust data pipelines, s...[show_more][last_updated.last_updated_variable_days]
This role is based at one of our corporate offices in Memphis, TN, McLean, VA, or Dallas, TX.This is your chance to be a part of an in-house technology team that's creating consumer-facing, cutting...[show_more][last_updated.last_updated_variable_days]
This role is based at one of our corporate offices in Memphis, TN, McLean, VA, or Dallas, TX.This is your chance to be a part of an in-house technology team that's creating consumer-facing, cutting...[show_more][last_updated.last_updated_variable_days]
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About the job Software Engineer.This is a remote position open to.Aniesispharma is a leading pharmaceutical company based in Memphis, Tennessee.
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Java Lead with Springboot, Microservices, Kafka skill set.Experience working with multiple database tools like DB2, SQL, Oracle.
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[job_preview.job_type]
- [job_card.full_time]
[job_card.job_description]Bachelor's degree in computer science or related field. 4+ years of software engineering experience with data platform focus. Strong knowledge of database systems and data storage architectures. Experience with distributed data processing frameworks. Proficiency in data pipeline design and ETL development. Understanding of event streaming systems and real-time processing. Experience with bulk data manipulation and optimization techniques. Strong programming skills in Python, Java, or Scala. Knowledge of data security and access control patterns. Experience with cloud data platforms and services. Understanding of data quality and validation methodologies.
Senior Software Engineer
Cotiviti is seeking a Senior Software Engineer to implement and maintain data platform integrations for our machine learning infrastructure. This role will focus on building robust data pipelines, storage solutions, and processing frameworks that support AI / ML workflows across the organization.
Responsibilities
- Implement data storage solutions and architectures for AI / ML workflows.
- Develop integration patterns between various data platforms and systems.
- Build scalable data processing pipelines using distributed computing frameworks.
- Create data quality and validation frameworks for ML pipelines.
- Design and implement ETL processes for model training data preparation.
- Support performance monitoring and optimization of data infrastructure.
- Implement security configurations and access controls for data platforms.
- Develop data lineage tracking and metadata management solutions.
- Build event streaming integrations for real-time data processing.
- Create automated testing frameworks for data pipeline validation.
- Document technical implementations and integration patterns.
- Collaborate with data scientists on data access and processing requirements.
Qualifications