Cotiviti

Data Engineer - Sat thru Wed, 9-6 PT

United States full-time Mid $80,000 - $112,000
full-time Mid level Technology & IT Salary listed Curated
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About the role

Overview
This role is expected to work Saturday through Wednesday from 9:00 AM Pacific to 6:00 pm Pacific
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 production, data quality, and data security.
Responsibilities

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.

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.

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.

Flexible work schedule.

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.

Mental Requirements:

Exceptional communication, problem-solving, and leadership skills.

Advanced analysis, problem-resolution, judgment, and decision-making capabilities.

Ability to prioritize and execute complex tasks in a high-pressure environment independently.

Strong results orientation, initiative, attention to detail, and customer service focus.

Expert time management skills, balancing daily operations, projects, and mentorship.

Ability to independently prioritize, re-prioritize, and manage multiple complex tasks.

Physical Requirements and Working Conditions:

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

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

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

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

No adverse environmental conditions expected.

Base compensation ranges from $80,000 to $112,000 per year. Specific offers are determined by various factors, such as experience, education, skills, certifications, and other business needs.
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 our Careers page.
Date of Posting: 5/12/2026
We anticipate that the application window will close on 7/12/2026, but the application window may change depending on the volume of applications received or close immediately if a qualified candidate is selected.
Since this job will be based remotely, all interviews will be conducted virtually.
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Originally posted on Himalayas

Interview prep

Walk in with sharper answers.

Use this as a quick practice sheet before you speak with the employer.

Mid
Technology & IT API integration Customer Service Data Analysis Excel MySQL Mid level

Likely questions

  1. Tell us about work you have done that is close to the Data Engineer - Sat thru Wed, 9-6 PT role.
  2. How would you approach your first 30 days at Cotiviti?
  3. Which of API integration, Customer Service and Data Analysis have you used recently, and what did it help you achieve?
  4. Describe a time you solved a problem without waiting to be told exactly what to do.
  5. How do you handle busy days, changing priorities, or pressure at work?

Prepare before the call

  • A recent example that proves your experience with API integration, Customer Service and Data Analysis.
  • One short story with a problem, your action, and the result.
  • Two examples that show the strengths listed on your CV.
  • A clear reason why this role and company interest you.
  • Your availability, preferred work style, and salary expectations.

Ask them

  • What would success look like in the first 90 days?
  • What are the main problems this hire should help solve?
  • How does the team give feedback and measure good work?
  • What does a normal working week look like for this role?
Practice line

I am interested in the Data Engineer - Sat thru Wed, 9-6 PT role because I can bring practical experience in API integration, Customer Service and Data Analysis, learn the team quickly, and contribute to the outcomes Cotiviti needs from this hire.

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