Senior Data Engineer, Data Operations

Cotiviti

. Create and execute complex SQL queries .

Posted 9/22/2026full-timeRemote • Utah • United StatesSenior💰 $151,819 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in Data Analysis, SQL Query Creation, and Data Pipeline Development, with a strong focus on RDBMS technologies and SDLC processes. Proven ability to mentor junior engineers and enhance business processes through innovative solutions.

Highest-signal resume keywords

SQL Query CreationData AnalysisRDBMS (Oracle, MS SQL Server, Teradata, Snowflake)Data Pipeline DevelopmentSDLC Process

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data MappingData IngestionData MiningData AggregationData StandardizationQuality Check MechanismsETL ToolsProgramming LanguagesRelational DatabasesTechnical Defect Requirements

Soft Skills

MentoringProblem SolvingCollaborationCommunication

Tools & Technologies

JiraMicrosoft Office SuiteHadoopSpark

Industry Keywords

Media IndustryRetail IndustryHealthcare IndustryPayments Processing

Tech Stack

Tools & technologies

ETLHadoopMS SQL ServerOracleRDBMSSDLCSparkSQL

About the role

Key responsibilities & impact

Create and execute complex SQL queries
Provide subject matter expertise in Data Mapping, Programming, and Ingestion workflows
Perform data analysis, data mining, and investigation using SQL and/or Oracle
Deploy, configure, and monitor production solutions and services
Mentor junior-level engineers and train new and junior-level system analysts
Identify organizational improvements and recommend business process enhancements
Validate new technology requirements are integrated within existing processes and product functionality
Write technical defect requirements and create or update standard operating procedures
Participate in project meetings and contribute to the SDLC
Troubleshoot and provide solutions for complex problems
Monitor system functions and assist with resolving processing problems
Research and analyze client data inquiries using internal data sources
Perform implementation functions, including testing new file extracts and providing defect and enhancement support to development and product teams
Provide technical operational expertise to Engineering teams for troubleshooting and new functionality requirements
Develop innovative ideas using multi-disciplinary knowledge
Complete projects associated with departmental objectives

Requirements

What you’ll need

Bachelor’s degree or equivalent in Computer Science, Electrical Engineering or related
Eight (8) years of experience in data analysis and data pipeline development in the media, retail, healthcare or other payments processing industry(ies)
Eight (8) years of experience with data aggregation, standardization, linking, quality check mechanisms and reporting
Eight (8) years of experience with RDBMS (Oracle, MS SQL Server, Teradata, and Snowflake) and using SQL or other data integration/ETL tools
Eight (8) years of experience with programming languages, operating systems, computer hardware platforms
Five (5) years of experience working with relational databases and ETL database functions
Five (5) years of experience in a data production environment supporting System Development Life Cycle (SDLC) process
Any amount of experience with Big data technologies including Hadoop and Spark
Any amount of experience with ticketing and documentation tools including Jira
Any amount of experience applying best practices in coding including development and deployment
Any amount of experience with Microsoft Office Suite including PowerPoint, Word, Excel, Outlook and Project
Any and all experience may be gained concurrently
Ability to work remotely anywhere in the U.S.

Benefits

Comp & perks

Medical insurance coverage
Dental insurance coverage
Vision insurance coverage
Disability insurance coverage
Life insurance coverage
401(k) savings plan
Paid family leave
9 paid holidays per year
17–27 days of Paid Time Off (PTO) per year, depending on specific level and length of service