Data Engineer

Quest Analytics

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profile Job Location:

Overland Park, KS - USA

profile Monthly Salary: Not Disclosed
Posted on: 20 days ago
Vacancies: 1 Vacancy

Job Summary

At Quest Analytics our mission is to make healthcare more accessible for all Americans. As part of our team youll work in an innovative collaborative challenging and flexible environment that supports your personal growth every are looking for a talented and motivated Data Engineer with experience in building scalable infrastructure implementing automation and enabling cross-functional teams with reliable and accessible data.

The Data Engineer will run daily operations of the data infrastructure automate and optimize our data operations and data pipeline architecture while ensuring active monitoring and troubleshooting. This hire will also support other engineers and analysts on data initiatives and will ensure optimal data delivery architecture is consistent throughout ongoing projects.APPLY TODAY!

What youll do:

    • Identify design and implement internal process improvements: automating manual processes optimizing data delivery re-designing infrastructure for greater scalability etc.
    • Review project objectives and determine the best technology for implementation. Implement best practice standards for development build and deployment automation.
    • Run daily operations of the data infrastructure and support other engineers and analysts on data investigations and operations.
    • Monitor and report on all data pipeline tasks while working with appropriate teams to take corrective action quickly in case of any issues.
    • Work with internal teams to understand current process and areas for efficiency gains
    • Write well-abstracted reusable and efficient code.
    • Participate in the training and/or mentoring programs as assigned or required.
    • Adheres to the Quest Analytics Values and supports a positive companys culture.
    • Responds to the needs and requests of clients and Quest Analytics management and staff in a professional and expedient manner.

What it requires:

    • Bachelors degree in computer science or related field.
    • 3 years of work experience with ETL data operations and troubleshooting preferably in healthcare data.
    • Proficiency with Azure ecosystems specifically in Azure Data Factory and ADLS.
    • Strong proficiency in Python for scripting automation and data processing.
    • Advanced SQL skills for query optimization and data manipulation.
    • Experience with distributed data pipeline tools like Apache Spark Databricks etc.
    • Working knowledge of database modeling (schema design and data governance best practices.)
    • Working knowledge of libraries like Pandas numpy etc.
    • Self-motivated and able to work in a fast paced deadline-oriented environment
    • Excellent troubleshooting listening and problem-solving skills.
    • Proven ability to solve complex issues.
    • Customer focused.
What youll appreciate:
Workplace flexibility you choose between remote hybrid or in-office
Company paid employee medical dental and vision
Competitive salary and success sharing bonus
Flexible vacation with no cap plus sick time and holidays
An entrepreneurial culture that wont limit you to a job description
Being listened to valued appreciated -- and having your contributions rewarded
Enjoying your work each day with a great group of people
Apply TODAY!

About Quest Analytics
For more than 20 years weve been improving provider network management one groundbreaking innovation at a time. 90% of Americas health plans use our tools including the eight largest in the nation. Achieve your personal quest to build a great career here.
Visa sponsorship is not available at this time.

Preferred work locations are within one of the following states: Alabama Arizona Arkansas Colorado Connecticut Delaware Florida Georgia Idaho Illinois (outside of Chicago proper) Indiana Iowa Kansas Kentucky Louisiana Maine Maryland Massachusetts Michigan Minnesota Mississippi Missouri Montana Nebraska Nevada New Hampshire New Mexico North Carolina North Dakota Ohio Oklahoma Oregon South Carolina South Dakota Tennessee Texas Utah Vermont Virginia West Virginia Wisconsin or Wyoming.
Quest Analytics provides equal employment opportunities to all people without regard to race color religion sex national origin ancestry marital status veteran status age disability sexual orientation or gender identity or expression or any other legally protected category. We are committed to creating and maintaining a workforce environment that is free from any form of discriminations or harassment.
Applicants must be legally authorized to work in the United States. Verification of employment eligibility will be required at the time of hire.

Persons with disabilities who anticipate needing accommodations for any part of the application process may contact in confidence emailprotected

NOTE: Staffing agencies headhunters recruiters and/or placement agencies please do not contact our hiring managers directly. We are not currently working with additional outside agencies at this time.
Any job posting displayed on websites other than or may be out of date inaccurate and unavailable
We may use artificial intelligence (AI) tools to support parts of the hiring process such as reviewing applications analyzing resumes or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed please contact us.
At Quest Analytics our mission is to make healthcare more accessible for all Americans. As part of our team youll work in an innovative collaborative challenging and flexible environment that supports your personal growth every are looking for a talented and motivated Data Engineer with experience ...
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Key Skills

  • Apache Hive
  • S3
  • Hadoop
  • Redshift
  • Spark
  • AWS
  • Apache Pig
  • NoSQL
  • Big Data
  • Data Warehouse
  • Kafka
  • Scala

About Company

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Our provider network software solutions & services provide unmatched tools & insights for you. Discover how you can measure, manage, monitor & model.

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