{"schemaVersion":"jobsearcher.job.v1","id":"0add1dac6056ccd4d22ab0ac","url":"https://jobsearcher.com/jobs/0add1dac6056ccd4d22ab0ac","canonicalUrl":"https://jobsearcher.com/jobs/0add1dac6056ccd4d22ab0ac","title":"Sr. Data Engineer","description":"At Quest Analytics, our mission is to make healthcare more accessible for all Americans. As part of our team, you’ll work in an innovative, collaborative, challenging, and flexible environment that supports your personal growth every day. We are looking for a talented and motivated Senior Data Engineer with experience in building scalable infrastructure, implementing automation, and enabling cross-functional teams with reliable and accessible data.\n\nThe Senior Data Engineer will help modernize and scale our data environment. This person will play a key role in transforming these workflows into automated, cloud-based pipelines using Azure Data Factory, Databricks, and modern data platforms. If you are looking for a high-impact opportunity to shape how data flows across the business, APPLY TODAY!\nWhat you'll do:\nIdentify, design, and implement internal process improvements (e.g., automating manual processes, optimizing data delivery, and re-designing infrastructure for scalability).\nTransform manual SQL/SSMS/stored procedure workflows into automated pipelines using Azure Data Factory.\nWrite clean, reusable, and efficient code in Python (and optionally C# or Scala).\nLeverage distributed data tools such as Spark and Databricks for large-scale processing.\nReview project objectives to determine and implement the most suitable technologies.\nApply best practice standards for development, build, and deployment automation.\nManage day-to-day operations of the data infrastructure and support engineers and analysts with data investigations.\nMonitor and report on data pipeline tasks, collaborating with teams to resolve issues quickly.\nPartner with internal teams to analyze current processes and identify efficiency opportunities.\nParticipate in training and mentoring programs as assigned or required.\nUphold Quest Analytics values and contribute to a positive company culture.\nRespond professionally and promptly to client and internal requests.\nPerform other duties as assigned.\nWhat it requires:\nBachelor’s Degree in Computer Science or equivalent education/experience.\n3–5 years of experience with ETL, data operations, and troubleshooting, preferably in Healthcare data.\nStrong SQL development skills (SSMS, stored procedures, and optimization).\nProficiency in Python, C#, or Scala (experience with pandas and NumPy is a plus).\nSolid understanding of the Azure ecosystem, especially Azure Data Factory and Azure Data Lake Storage (ADLS).\nHands-on experience with Azure Data Factory and ADLS.\nFamiliarity with Spark, Databricks, and data modeling techniques.\nExperience working with both relational databases (e.g., SQL Server) and NoSQL databases (e.g., MongoDB).\nSelf-motivated, strong problem-solver, and thrives in fast-paced environments.\nExcellent troubleshooting, listening, and analytical skills.\nCustomer-focused mindset with a collaborative, team-oriented approach.\nWe are not currently engaging with outside agencies on this role.\nVisa sponsorship is not available at this time.\n\nWhat you’ll appreciate:\nWorkplace flexibility – you choose between remote, hybrid or in-office\nCompany paid employee medical, dental and vision\nCompetitive salary and success sharing bonus\nFlexible vacation with no cap, plus sick time and holidays\nAn entrepreneurial culture that won’t limit you to a job description\nBeing listened to, valued, appreciated - and having your contributions rewarded\nEnjoying your work each day with a great group of people\nApply TODAY!\ncareers.questanalytics.com\n\nAbout Quest Analytics\nFor more than 20 years, we’ve been improving provider network management one groundbreaking innovation at a time. 90% of America’s health plans use our tools, including the eight largest in the nation. Achieve your personal quest to build a great career here.\nVisa sponsorship is not available at this time.\n\nPreferred 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.\nQuest 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.\nApplicants must be legally authorized to work in the United States. Verification of employment eligibility will be required at the time of hire.\n\nPersons with disabilities who anticipate needing accommodations for any part of the application process may contact, in confidence [email protected]\n\nNOTE: 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.\nAny job posting displayed on websites other than questanalytics.com or jobs.lever.co/questanalytics/ may be out of date, inaccurate and unavailable\nWe 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.","company":"Quest Analytics","rawCompany":"quest analytics","city":"Overland Park","state":"KS","isRemote":false,"isActive":false,"createdAt":"2026-04-14T10:21:16.913Z","occupations":[{"code":"15-1243.01","title":"Data Warehousing Specialists","slug":"data-warehousing-specialists"},{"code":"15-2051.00","title":"Data Scientists","slug":"data-scientists"},{"code":"15-1243.00","title":"Database Architects","slug":"database-architects"}],"industries":[{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"},{"code":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"},{"code":"513210","title":"Software Publishers","slug":"software-publishers"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Sr. Data Engineer","description":"At Quest Analytics, our mission is to make healthcare more accessible for all Americans. As part of our team, you’ll work in an innovative, collaborative, challenging, and flexible environment that supports your personal growth every day. We are looking for a talented and motivated Senior Data Engineer with experience in building scalable infrastructure, implementing automation, and enabling cross-functional teams with reliable and accessible data.\n\nThe Senior Data Engineer will help modernize and scale our data environment. This person will play a key role in transforming these workflows into automated, cloud-based pipelines using Azure Data Factory, Databricks, and modern data platforms. If you are looking for a high-impact opportunity to shape how data flows across the business, APPLY TODAY!\nWhat you'll do:\nIdentify, design, and implement internal process improvements (e.g., automating manual processes, optimizing data delivery, and re-designing infrastructure for scalability).\nTransform manual SQL/SSMS/stored procedure workflows into automated pipelines using Azure Data Factory.\nWrite clean, reusable, and efficient code in Python (and optionally C# or Scala).\nLeverage distributed data tools such as Spark and Databricks for large-scale processing.\nReview project objectives to determine and implement the most suitable technologies.\nApply best practice standards for development, build, and deployment automation.\nManage day-to-day operations of the data infrastructure and support engineers and analysts with data investigations.\nMonitor and report on data pipeline tasks, collaborating with teams to resolve issues quickly.\nPartner with internal teams to analyze current processes and identify efficiency opportunities.\nParticipate in training and mentoring programs as assigned or required.\nUphold Quest Analytics values and contribute to a positive company culture.\nRespond professionally and promptly to client and internal requests.\nPerform other duties as assigned.\nWhat it requires:\nBachelor’s Degree in Computer Science or equivalent education/experience.\n3–5 years of experience with ETL, data operations, and troubleshooting, preferably in Healthcare data.\nStrong SQL development skills (SSMS, stored procedures, and optimization).\nProficiency in Python, C#, or Scala (experience with pandas and NumPy is a plus).\nSolid understanding of the Azure ecosystem, especially Azure Data Factory and Azure Data Lake Storage (ADLS).\nHands-on experience with Azure Data Factory and ADLS.\nFamiliarity with Spark, Databricks, and data modeling techniques.\nExperience working with both relational databases (e.g., SQL Server) and NoSQL databases (e.g., MongoDB).\nSelf-motivated, strong problem-solver, and thrives in fast-paced environments.\nExcellent troubleshooting, listening, and analytical skills.\nCustomer-focused mindset with a collaborative, team-oriented approach.\nWe are not currently engaging with outside agencies on this role.\nVisa sponsorship is not available at this time.\n\nWhat you’ll appreciate:\nWorkplace flexibility – you choose between remote, hybrid or in-office\nCompany paid employee medical, dental and vision\nCompetitive salary and success sharing bonus\nFlexible vacation with no cap, plus sick time and holidays\nAn entrepreneurial culture that won’t limit you to a job description\nBeing listened to, valued, appreciated - and having your contributions rewarded\nEnjoying your work each day with a great group of people\nApply TODAY!\ncareers.questanalytics.com\n\nAbout Quest Analytics\nFor more than 20 years, we’ve been improving provider network management one groundbreaking innovation at a time. 90% of America’s health plans use our tools, including the eight largest in the nation. Achieve your personal quest to build a great career here.\nVisa sponsorship is not available at this time.\n\nPreferred 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.\nQuest 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.\nApplicants must be legally authorized to work in the United States. Verification of employment eligibility will be required at the time of hire.\n\nPersons with disabilities who anticipate needing accommodations for any part of the application process may contact, in confidence [email protected]\n\nNOTE: 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.\nAny job posting displayed on websites other than questanalytics.com or jobs.lever.co/questanalytics/ may be out of date, inaccurate and unavailable\nWe 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.","datePosted":"2026-04-14T10:21:16.913Z","dateModified":"2026-04-14T10:21:16.913Z","hiringOrganization":{"@type":"Organization","name":"Quest Analytics","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Overland Park","addressRegion":"KS","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"0add1dac6056ccd4d22ab0ac"},"url":"https://jobsearcher.com/jobs/0add1dac6056ccd4d22ab0ac"}}