Data Engineer – AI, Spark, Databricks, GCP

Cotiviti

Data Engineer creating and maintaining data pipelines and scripts at Cotiviti. Collaborating with teams to ensure data integrity and efficiency in data management processes.

Posted 7/2/2026full-timeRemote • 🇺🇸 United StatesMid-LevelSenior💰 $101,000 - $132,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in creating and maintaining data pipelines, executing Spark and SQL scripts, and performing data analysis while adhering to compliance standards. Proficient in collaborating with cross-functional teams to troubleshoot issues and optimize data management processes.

Highest-signal resume keywords

Spark Script DevelopmentSQL ScriptingData Pipeline OrchestrationCloud Technologies (AWS, Azure)Data Analysis

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

SparkSQLPL/SQLData AnalysisRDBMSETL ToolsBig Data TechnologiesData ValidationData IntegrationQuery Optimization

Soft Skills

CollaborationProblem-SolvingFlexibilityProductivity TrackingTime Management

Tools & Technologies

DatabricksAWSAzureKafkaHadoopS3AirflowJIRAMicrosoft Office SuiteSnowflake

Certifications & Qualifications

Databricks CertificationAWS Certification

Industry Keywords

HealthcareEnrollmentMedical ClaimsPharmacy ClaimsCompliance

Tech Stack

Tools & technologies

AirflowAWSAzureCloudETLGoogle Cloud PlatformHadoopKafkaOracleRayRDBMSSparkSQL

About the role

Key responsibilities & impact

Create, maintain and execute intermediate to advanced Spark scripts for data management and data validation, and data integration.
Create, maintain and execute basic to intermediate SQL scripts for data management and data validation.
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.
Create 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.
Complete individual productivity tracking.
Complete task assignments using department ticketing system within assigned deadline.
Achieve organizational and individual goals as identified in performance reviews and goal setting exercises.
Complete all special projects and other duties as assigned.

Requirements

What you’ll need

Bachelor’s degree in Computer Science, Information Technology or equivalent work experience
3+ years of working knowledge of big data technologies (Spark, S3, Kafka, Ray, Hadoop, etc.)
2+ years of working knowledge of big data / cloud technologies (Databricks, AWS, Azure, Hadoop, Spark, Snowflake etc.)
3+ years of working knowledge of cloud (AWS, Azure, GCP, OCI etc.)
3+ years of working knowledge of RDBMS (Oracle, MS SQL, Vertica, etc.) and experience using SQL, PL/SQL or other data integration/ETL tools
Any Databricks / AWS certifications is a big plus
Familiarity with data pipeline orchestration tools (e.g., Airflow, Databricks Workflows)
3+ years of data analysis
Preferably in the Healthcare industry of enrollment, medical claims and/or pharmacy claims
Proficient in Microsoft Office Suite applications PowerPoint, Word, Excel and Outlook
Flexible work schedule
Experience with project management tools like JIRA
Databricks and/or Snowflake environment familiarity a plus

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