Associate Data Engineer – Artificial Intelligence, AI

Cotiviti

Data Engineer at Cotiviti managing data processes and implementations for operational excellence. Involves data analysis, pipeline creation, and troubleshooting in collaboration with Engineering teams.

Posted 6/6/2026full-timeRemote • 🇺🇸 United StatesJuniorMid-Level💰 $90,000 - $110,000 per yearWebsite

Tech Stack

Tools & technologies

AWSAzureCloudETLGoogle Cloud PlatformHadoopKafkaOracleRayRDBMSSparkSQL

About the role

Key responsibilities & impact

Create, maintain and execute basic to intermediate Spark and SQL scripts for data management and data validation, and data integration.
Optimize the queries to improve the efficiency of daily tasks.
Perform data analysis and identify any issues.
Work with other groups such as Engineering team, DBA, Cloud ops, etc. to troubleshoot and resolve any environmental or network issues that impact your work.
Extend your support to after – hours or weekends as needed.
Assist in the creation and maintain data pipelines as needed.
Validates the tasks results to ensure that all the requirements are met.
Adhere to all the industry level and organization level compliance rules and regulations to maintain data integrity.

Requirements

What you’ll need

Bachelor’s degree in Computer Science, Information Technology or equivalent work experience
0-2 years of working knowledge of big data technologies (Spark, S3, Kafka, Ray, Hadoop, etc.)
0-2 years of working knowledge of cloud (Databricks, AWS, Azure, GCP, OCI etc.)
0-2 years of working knowledge of RDBMS (Oracle, MS SQL, Vertica, etc.) and experience using SQL, PL/SQL or other data integration/ETL tools
0-2 years of data analysis
Preferably in the Healthcare industry of enrollment, medical claims and/or pharmacy claims.

Benefits

Comp & perks

medical, dental, vision, disability, and 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

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

SparkSQLdata managementdata validationdata integrationdata analysisETLPL/SQLbig data technologiesRDBMS