Data Engineer

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    "ExternalDescriptionStr": "<p><strong>We are seeking a Data Engineer with strong experience in Python and React to build and maintain scalable data-driven applications and platforms in the healthcare domain.</strong></p>\n<p><span>Base Compensation Range: 110,000 – 140,000</span></p>\n<p><span><i>The posted range is the hiring range for this role — a subset of the broader range available to employees over time — and reflects base salary across our national hiring scale. Final offers are based on several factors, including the candidate's skills and experience, internal pay equity, work location, market conditions for the role, and the specific scope and responsibilities of the position. The top of the range is reserved for candidates who notably exceed the requirements; the lower end applies to those with less experience or fewer preferred qualifications. For positions based in higher-cost zones (e.g., California, New York, New Jersey), actual compensation may exceed the posted range; your recruiter will share specifics during the process.</i></span></p>",
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    "CorporateDescriptionStr": "<div>\n EXL (NASDAQ: EXLS) is a leading data analytics and digital operations and solutions company. We partner with clients using a data and AI-led approach to reinvent business models, drive better business outcomes and unlock growth with speed. EXL harnesses the power of data, analytics, AI, and deep industry knowledge to transform operations for the world’s leading corporations in industries including insurance, healthcare, banking and financial services, media and retail, among others. EXL was founded in 1999 with the core values of innovation, collaboration, excellence, integrity and respect. We are headquartered in New York and have more than 54,000 employees spanning six continents. For more information, visit&nbsp;<a href=\"http://www.exlservice.com/\" target=\"_blank\" rel=\"nofollow\">www.exlservice.com</a>.\n</div>\n<div>\n <div>\n  <p class=\"MsoNormal\"><br/></p>\n </div><i>EXL never requires or asks for fees/payments or credit card or bank details during any phase of the recruitment or hiring process and has not authorized any agencies or partners to collect any fee or payment from prospective candidates. EXL will only extend a job offer after a candidate has gone through a formal interview process with members of EXL’s Human Resources team, as well as our hiring managers.</i>\n</div>\n<div>\n</div>",
    "ExternalPostedStartDate": "2026-06-02T19:08:32+00:00",
    "ExternalQualificationsStr": "<p><strong>Required Skills &amp; Experience</strong></p><ul><li>Strong hands-on experience with Python for data engineering and backend development </li><li>Experience with data processing frameworks and libraries (Pandas, PySpark, Airflow, SQLAlchemy, etc.) </li><li>Basic to strong experience with React.js frontend development </li><li>Experience building scalable ETL/ELT pipelines and production-grade data applications  </li><li>Strong understanding of REST APIs and system integrations </li><li>Experience working with relational and/or NoSQL databases </li><li>Experience with data warehousing, data modeling, and large-scale data processing </li><li>Familiarity with cloud platforms and data services (AWS, Azure, or GCP preferred) </li><li>Ability to work in ambiguous, real-world problem spaces </li><li>Strong communication skills with technical and non-technical stakeholders </li><li><p>Bachelor’s degree in Computer Science, Engineering, or equivalent experience </p><p><strong>Preferred Experience</strong></p></li><li>Prior experience in healthcare technology or healthcare systems </li><li>Familiarity with HL7, FHIR, or EHR systems (e.g., Epic, Cerner) </li><li>Experience working with healthcare workflows (clinical, operational, or administrative systems) </li><li>Exposure to regulated environments (HIPAA, security-sensitive systems) </li><li>Experience with big data technologies and distributed processing systems </li><li>Experience building analytics dashboards or data visualization platforms </li><li><p>Experience working with enterprise-scale data platforms and pipelines</p><p> </p></li></ul>",
    "InternalQualificationsStr": "<p><strong>Required Skills &amp; Experience</strong></p><ul><li>Strong hands-on experience with Python for data engineering and backend development </li><li>Experience with data processing frameworks and libraries (Pandas, PySpark, Airflow, SQLAlchemy, etc.) </li><li>Basic to strong experience with React.js frontend development </li><li>Experience building scalable ETL/ELT pipelines and production-grade data applications  </li><li>Strong understanding of REST APIs and system integrations </li><li>Experience working with relational and/or NoSQL databases </li><li>Experience with data warehousing, data modeling, and large-scale data processing </li><li>Familiarity with cloud platforms and data services (AWS, Azure, or GCP preferred) </li><li>Ability to work in ambiguous, real-world problem spaces </li><li>Strong communication skills with technical and non-technical stakeholders </li><li><p>Bachelor’s degree in Computer Science, Engineering, or equivalent experience </p><p><strong>Preferred Experience</strong></p></li><li>Prior experience in healthcare technology or healthcare systems </li><li>Familiarity with HL7, FHIR, or EHR systems (e.g., Epic, Cerner) </li><li>Experience working with healthcare workflows (clinical, operational, or administrative systems) </li><li>Exposure to regulated environments (HIPAA, security-sensitive systems) </li><li>Experience with big data technologies and distributed processing systems </li><li>Experience building analytics dashboards or data visualization platforms </li><li><p>Experience working with enterprise-scale data platforms and pipelines</p><p> </p></li></ul>",
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