Data Engineer

Cotiviti

Data Engineer overseeing ETL processes and data quality for Cotiviti's healthcare data management. Collaborating with stakeholders to deliver high-quality data solutions and support revenue generation efforts.

Posted 5/12/2026full-timeRemote • 🇺🇸 United StatesJuniorMid-Level💰 $80,000 - $112,000 per yearWebsite

Tech Stack

Tools & technologies

ETLHadoopInformaticaJavaLinuxOraclePythonRDBMSScalaShell ScriptingSparkSQLSSIS

About the role

Key responsibilities & impact

Oversee ETL processes to ensure their success, with the primary responsibility of providing accurate and timely data across various products to support the company's revenue generation.
Maintain data pipelines running on proprietary big data processing platform and providing support to make sure data delivery SLAs are met.
Maintain data engineering processes using a variety of tools including T-SQL, Spark and Scala, and shell scripting.
Generally focused on data ingestion for healthcare data management, data validation, statistical report generation, and program validation.
Develop, support, and improve scalable and efficient data ingestion processes and techniques aimed at enhancing process efficiencies and optimizing query performance for our proprietary data applications and systems.
Implement and perform data validation and quality checks to maintain high data integrity.
Perform troubleshooting, data analysis, data mining, investigations and identifying root cause of issues using several cutting-edge data analysis tools in a fast-paced environment.
Collaborate with stakeholders to understand data requirements and deliver high-quality data solutions.
Work with Technical Operations to troubleshoot complex database issues related to the entire environment including OS, storage, and servers.
Provide off hours support to resolve production issues when necessary.
Develop data transformation specifications to convert source data to be loaded into target data warehouse tables using SQL and other Data Integration/ETL tools.
Support the implementation of data governance policies and security measures to protect sensitive information.
Create and maintain dashboards as needed.
Participate in meetings with clients and/or stakeholders.
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.
Must be able to perform duties with or without reasonable accommodation.

Requirements

What you’ll need

Bachelor’s degree in Computer Science, Information Technology or equivalent work experience
2+ years of working knowledge of RDBMS (Oracle, MS SQL, Vertica, etc.) and experience using SQL, PL/SQL or other data integration/ETL tools
2+ years of experience in data engineering, data analysis, or a related field with a strong track record of building and managing data pipelines
2-4 years’ experience with data aggregation, standardization, linking, quality check mechanisms, and reporting
2-4 years’ experience with big data technologies like Hadoop and Spark
Proficient and experienced in analyzing, designing, and developing solutions and strategies involving relational databases (e.g., Oracle, Vertica, SQL Server), ETL tools (e.g., SSIS, ODI, Informatica), and data warehousing concepts
Solid understanding of Linux environments; strong knowledge of shell scripting and file systems
Knowledge of US healthcare data, preferably in data operations role, is a plus.
Ability to analyze data with a high level of detailed accuracy, identify root causes of issues, and demonstrate problem-solving skills to troubleshoot data-related issues
Experience in coding principles and the ability to follow best practices for developing and deploying code for data manipulation and automation
Experience in at least one programming language such as Python, Java, Scala or Powershell.
Knowledge of data governance principles, data quality, and data lifecycle management a plus.
Proficient in Microsoft Office Suite applications PowerPoint, Word, Excel and Outlook.
Experience with project management tools like JIRA.
Strong analytical skills
Quick Learner, energetic and flexible
Excellent verbal, listening and written communication skills.
Ability to multitask and prioritize projects to meet scheduled deadlines and tight turnaround times.

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, depending on specific level and length of service with Cotiviti

ATS Keywords

✓ Tailor your resume

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

ETL processesT-SQLSparkScalaSQLPL/SQLdata engineeringdata analysisdata aggregationdata warehousing

Soft Skills

problem-solvinganalytical skillscommunication skillsmultitaskingflexibilityattention to detailcollaborationtime managementquick learnerorganizational skills