Senior Data Engineer AI

Cotiviti - US; Brasil; Teletrabalho; USD 140.000 - 165.000; Tempo integral

Resumo da oferta

A healthcare data management company is seeking an experienced Data Engineer to manage data implementations and ensure data quality. Candidates should have extensive experience in SQL, data analysis, and familiarity with big data/cloud technologies, particularly in the healthcare sector. This remote role offers competitive compensation and benefits.

Serviços

Medical insurance

401(k) savings plan

Paid Time Off (PTO)

Qualificações

• 8+ years of working knowledge of big data/cloud technologies.
• Experience in implementing data pipelines with SQL, Spark, and Scala.
• Experience with data analysis in the healthcare industry.

Responsabilidades

• Create and execute complex SQL queries for data management.
• Monitor data processes and analyze trends.
• Participate in client meetings and troubleshoot issues.

Conhecimentos

SQL

Data analysis

Data pipeline orchestration

Communication skills

Analytical skills

Formação académica

Bachelor’s degree in Computer Science or Information Technology

Ferramentas

Databricks

AWS

Azure

Hadoop

Spark

Snowflake

Airflow

JIRA

Microsoft Office Suite

Descrição da oferta de emprego

Overview

At Cotiviti, we are custodians of data for our clients. Using their technical experience in ETL processes, Data Engineers ensure operational functions are occurring as expected. This includes but is not limited to managing data implementations, data integrations, data production, data quality, and data security.

Responsibilities

· Create, maintain and execute complex SQL queries for data management and data validation.

· Demonstrates subject matter expertise in relation to data mapping, transformations, validations, and ingestion workflows.

· Monitor data processes, analyze data trends and identify anomalies or issues.

· Immediately report issues regarding quality of/or interruption of data processes following standard operating procedures

· Perform production solutions and services configurations as needed.

· Serve as a change agent to identify organizational improvements and make recommendations to improve business processes.

· Create and maintain SOP documents.

· Train and mentor new members of the team as needed.

· Participate in meetings with clients and/or stakeholders.

· Troubleshoot issues and provide recommendations for remediation.

· Demonstrate sound judgment in selecting methods and techniques for obtaining solutions.

· Completes work as assigned.

· Participate in customer testing, as needed, for new technology or changes to existing.

· Provide after-hours or weekend support as needed.

· Demonstrate an ability to work independently.

· Adhere to all the industry level and organization level compliance rules and regulations to maintain data integrity.

· Complete task assignments using department ticketing/productivity systems 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.

This job description is intended to describe the general nature and level of work being performed and is not to be construed as an exhaustive list of responsibilities, duties and skills required. This job description does not constitute an employment agreement and is subject to change as the needs of Cotiviti and requirements of the job change.

Qualifications

· Bachelor’s degree in Computer Science, Information Technology or equivalent work experience.

· 8+ years of working knowledge of big data / cloud technologies (Databricks, AWS, Azure, Hadoop, Spark, Snowflake etc)

· Experienced in implementing data pipelines with data engineering best practices in SQL, Spark and Scala, implementation in a Databricks environment a plus.

· 8+ years of data analysis. Preferably in the Healthcare industry of enrollment, medical claims and/or pharmacy claims.

· Any Databricks / AWS certifications is a big plus

· Strong SQL and data modeling skills

· Experience with data pipeline orchestration tools (e.g., Airflow, Databricks Workflows)

· Expertise in Microsoft Office Suite applications PowerPoint, Word, Excel and Outlook.

· Flexible work schedule.

· Experience with project management tools like JIRA.

· Strong analytical skills.

· Excellent verbal, listening and written communication skills.

Cognitive/Mental Requirements:

· Ability to multitask and prioritize projects to meet scheduled deadlines and tight turnaround times.

· Ability to work well independently or in a team environment.

· Communicating with others to exchange information.

· Assessing the accuracy, neatness and thoroughness of the work assigned.

Working Conditions and Physical Requirements:

· Remaining in a stationary position, often standing or sitting for prolonged periods.

· Repeating motions that may include the wrists, hands and/or fingers.

· No adverse environmental conditions expected.

· Must be able to provide a dedicated, secure work area.

· Must be able to provide high-speed internet access / connectivity and office setup and maintenance.

Pay Transparency:

Base compensation ranges from $140,000.00 to $165,000.00. Specific offers are determined by various factors, such as experience, education, skills, certifications, and other business needs. This role is eligible for discretionary bonus consideration.

Cotiviti offers team members a competitive benefits package to address a wide range of personal and family needs, including medical, dental, vision, disability, and life insurance coverage, 401(k) savings plans, paid family leave, 9 paid holidays per year, and 17-27 days of Paid Time Off (PTO) per year, depending on specific level and length of service with Cotiviti. For information about our benefits package, please refer to ourCareers page.

Since this job will be based remotely, all interviews will be conducted virtually.

Date of posting: 7/25/2025

Applications are assessed on a rolling basis. We anticipate that the application window will close on 10/25/2025, but the application window may change depending on the volume of applications received or close immediately if a qualified candidate is selected.

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