Lead Data Engineer

{
  "content_hash": "9eced85aef7deb0f337548b9484033ceaed5834babc333f132ad18513ea387ef",
  "source_hash": "b9dc256d9fc4c2ed4efae862340bdc651f49535689e625ad2fe37e34c939e53c",
  "last_changed_at": "2026-06-04T10:44:42.170Z",
  "active_status": "deleted"
}

{
  "language": "en",
  "location": {
    "raw": "United States",
    "city": null,
    "region": null,
    "country": "United States",
    "is_remote": false,
    "confidence": 0.8
  },
  "salary_max": null,
  "salary_min": 130,
  "inferred_at": "2026-06-02T11:46:10.857Z",
  "launch_scope": {
    "reason": "english_us_canada",
    "included": true,
    "language": "en",
    "location": {
      "raw": "United States",
      "city": null,
      "region": null,
      "country": "United States",
      "is_remote": false,
      "confidence": 0.8
    },
    "countries": [
      "United States"
    ]
  },
  "remote_policy": null,
  "salary_period": null,
  "workplace_type": null,
  "salary_currency": "USD"
}

{}

{
  "detail": {
    "Id": "13070",
    "Title": "Lead Data Engineer",
    "media": [],
    "skills": [],
    "JobType": null,
    "Category": "Data Management",
    "JobGrade": null,
    "JobLevel": null,
    "JobShift": null,
    "WorkDays": null,
    "WorkHours": null,
    "WorkYears": null,
    "Department": null,
    "HotJobFlag": false,
    "StudyLevel": "Bachelor's Degree",
    "WorkMonths": null,
    "WorkerType": null,
    "GeographyId": 300000000467584,
    "JobFamilyId": 300001172134985,
    "JobFunction": "Data Management",
    "JobSchedule": "Full time",
    "BusinessUnit": null,
    "ContractType": null,
    "Organization": null,
    "TrendingFlag": true,
    "workLocation": [
      {
        "Country": null,
        "Region1": null,
        "Region2": null,
        "Region3": null,
        "Building": null,
        "Latitude": "40.72053",
        "Longitude": "-74.04624",
        "LocationId": 300000002980557,
        "PostalCode": null,
        "TownOrCity": null,
        "AddressLine1": null,
        "AddressLine2": null,
        "AddressLine3": null,
        "AddressLine4": null,
        "LocationName": "US New Jersey (JCO) C79"
      }
    ],
    "ContentLocale": "en",
    "HiringManager": null,
    "LegalEmployer": null,
    "RequisitionId": 300003065957066,
    "WorkplaceType": "Work From Home",
    "BusinessUnitId": 300000002965433,
    "OrganizationId": 300000002988873,
    "GeographyNodeId": 300001186829838,
    "JobFunctionCode": "EXL_JFN_2007418629",
    "LegalEmployerId": 300000002988873,
    "PrimaryLocation": "United States",
    "RequisitionType": "Professional",
    "NumberOfOpenings": null,
    "WorkplaceTypeCode": "ORA_REMOTE",
    "BeFirstToApplyFlag": false,
    "otherWorkLocations": [],
    "secondaryLocations": [],
    "ExternalContactName": null,
    "ShortDescriptionStr": "Responsibilities:  \n•\tdesign, development, and implementation of data solutions using AWS and Snowflake.  \n•\tCollaborate with cross-functional teams to understand business requirements and translate them into technical solutions.  \n•\tDevelop and maintain data pipelines, ensuring data quality, integrity, and security.  \n•\tOptimize data storage and retrieval processes to support data warehousing and analytics.  \n•\tProvide technical leadership and mentorship to junior data engineers.  \n•\tEnsure compliance with industry standards and best practices in data engineering.  \n•\tUtilize knowledge of insurance, particularly claims and loss, to enhance data solutions\n",
    "ExternalContactEmail": null,
    "ExternalPostedEndDate": null,
    "OtherRequisitionTitle": null,
    "requisitionFlexFields": [],
    "ApplyWhenNotPostedFlag": false,
    "DomesticTravelRequired": null,
    "ExternalDescriptionStr": "<p style=\"margin-left:0in\"><strong>Must have:</strong>&nbsp;&nbsp;</p>\n<ul>\n <li>7+ years of relevant experience&nbsp;in&nbsp;Data Engineering&nbsp;and delivery.&nbsp;&nbsp;&nbsp;</li>\n <li>5+ years of relevant work experience in Big Data Concepts. Worked on cloud implementations.&nbsp;&nbsp;&nbsp;</li>\n <li>Strong experience with SQL, python and Pyspark &nbsp;</li>\n <li>Good understanding of Data ingestion and data processing frameworks  &nbsp;</li>\n <li>Good experience in Snowflake, SQL, AWS (glue, EMR, S3, Aurora, RDS, AWS architecture) &nbsp;</li>\n</ul>\n<p>Good aptitude, strong problem-solving abilities, analytical skills, and ability to take ownership&nbsp;</p>",
    "ObjectVerNumberProfile": "1",
    "PrimaryLocationCountry": "US",
    "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": "2026-05-26T20:16:55+00:00",
    "ExternalQualificationsStr": "<p style=\"margin-left:0in\"><strong>Requirements:</strong>  </p><ul><li>Bachelor’s in engineering or a related field.  </li><li>Proven experience as a Data Engineer, with a focus on AWS and Snowflake.  </li><li>Strong understanding of data warehousing concepts and best practices.  </li><li>Excellent communication skills, with the ability to convey complex technical concepts to non-technical stakeholders.  </li><li>Experience in the insurance industry, preferably with knowledge of claims and loss processes.  </li><li>Proficiency in SQL, Python, and other relevant programming languages.  </li><li>Strong problem-solving skills and attention to detail.  </li><li>Ability to work independently and as part of a team in a fast-paced environment.  </li><li>Experience with data modeling and ETL processes.  </li><li><p>Familiarity with data governance and data security practices.  </p><p> </p></li></ul><p style=\"margin-left:0in\"> The base salary for this position ranges from $130-150k based on skills and experience. Other benefits, including annual bonus may be on top of the base salary. </p><p> </p>",
    "InternalQualificationsStr": "<p style=\"margin-left:0in\"><strong>Requirements:</strong>  </p><ul><li>Bachelor’s in engineering or a related field.  </li><li>Proven experience as a Data Engineer, with a focus on AWS and Snowflake.  </li><li>Strong understanding of data warehousing concepts and best practices.  </li><li>Excellent communication skills, with the ability to convey complex technical concepts to non-technical stakeholders.  </li><li>Experience in the insurance industry, preferably with knowledge of claims and loss processes.  </li><li>Proficiency in SQL, Python, and other relevant programming languages.  </li><li>Strong problem-solving skills and attention to detail.  </li><li>Ability to work independently and as part of a team in a fast-paced environment.  </li><li>Experience with data modeling and ETL processes.  </li><li><p>Familiarity with data governance and data security practices.  </p><p> </p></li></ul><p style=\"margin-left:0in\"> The base salary for this position ranges from $130-150k based on skills and experience. Other benefits, including annual bonus may be on top of the base salary. </p><p> </p>",
    "OrganizationDescriptionStr": "<span>EXL is the indispensable partner for leading businesses in data-led industries such as insurance, banking and financial services, healthcare, retail and logistics. We bring a unique combination of data, advanced analytics, digital technology and industry expertise to help our clients turn data into insights, streamline operations, improve customer experience, and transform their business. Our partnerships with clients are built on a foundation of collaboration – and we’ve been chosen as a partner by nine of the top ten leading US insurance companies, nine of the top 20 global banks, and six of the top ten US health care payers. We function as one team to make your goals our goals, whether that’s unlocking the value of generative AI or embedding analytics into workflows that reduce risk or power your growth. Clients choose EXL as their transformation partner for many reasons. Our geographic diversity make talent all over the world instantly accessible. Digital accelerators enable unmatched speed-to-value, letting you realize results fast. It’s our people that truly set us apart, though, including the 1,500 data scientists we have dedicated to our generative AI practice. And our more than twenty years of experience in delivering business services, garnering stellar client references, and maintaining a solid balance sheet are reassuring to our C-suite clients. Find out for yourself why clients, employees, and analysts think we’re some of the best in the business. Contact us to see how we can help you achieve your goals.</span>",
    "primaryLocationCoordinates": [
      {
        "Latitude": "39.82844",
        "Longitude": "-98.57939",
        "CountryCode": "US",
        "GeographyId": 300000000467584,
        "GeographyNodeId": 300001186829838
      }
    ],
    "ExternalResponsibilitiesStr": "<p>Responsibilities:  <br />•    design, development, and implementation of data solutions using AWS and Snowflake.  <br />•    Collaborate with cross-functional teams to understand business requirements and translate them into technical solutions.  <br />•    Develop and maintain data pipelines, ensuring data quality, integrity, and security.  <br />•    Optimize data storage and retrieval processes to support data warehousing and analytics.  <br />•    Provide technical leadership and mentorship to junior data engineers.  <br />•    Ensure compliance with industry standards and best practices in data engineering.  <br />•    Utilize knowledge of insurance, particularly claims and loss, to enhance data solutions<br /><br /><br /><strong>Must have:</strong>  </p><ul><li>7+ years of relevant experience in Data Engineering and delivery.   </li><li>5+ years of relevant work experience in Big Data Concepts. Worked on cloud implementations.   </li><li>Strong experience with SQL, python and Pyspark  </li><li>Good understanding of Data ingestion and data processing frameworks   </li><li>Good experience in Snowflake, SQL, AWS (glue, EMR, S3, Aurora, RDS, AWS architecture)  </li></ul><p>Good aptitude, strong problem-solving abilities, analytical skills, and ability to take ownership </p>",
    "InternalResponsibilitiesStr": "<p>Responsibilities:  <br />•    design, development, and implementation of data solutions using AWS and Snowflake.  <br />•    Collaborate with cross-functional teams to understand business requirements and translate them into technical solutions.  <br />•    Develop and maintain data pipelines, ensuring data quality, integrity, and security.  <br />•    Optimize data storage and retrieval processes to support data warehousing and analytics.  <br />•    Provide technical leadership and mentorship to junior data engineers.  <br />•    Ensure compliance with industry standards and best practices in data engineering.  <br />•    Utilize knowledge of insurance, particularly claims and loss, to enhance data solutions<br /><br /><br /><strong>Must have:</strong>  </p><ul><li>7+ years of relevant experience in Data Engineering and delivery.   </li><li>5+ years of relevant work experience in Big Data Concepts. Worked on cloud implementations.   </li><li>Strong experience with SQL, python and Pyspark  </li><li>Good understanding of Data ingestion and data processing frameworks   </li><li>Good experience in Snowflake, SQL, AWS (glue, EMR, S3, Aurora, RDS, AWS architecture)  </li></ul><p>Good aptitude, strong problem-solving abilities, analytical skills, and ability to take ownership </p>",
    "InternationalTravelRequired": null
  },
  "list_job": {
    "Id": "13070",
    "Title": "Lead Data Engineer",
    "JobType": null,
    "Distance": 1779753600000,
    "JobShift": null,
    "Language": "US",
    "WorkDays": null,
    "JobFamily": null,
    "Relevancy": 7,
    "WorkHours": null,
    "Department": null,
    "HotJobFlag": false,
    "PostedDate": "2026-05-26",
    "StudyLevel": null,
    "WorkerType": null,
    "GeographyId": 300000000467584,
    "JobFunction": null,
    "JobSchedule": null,
    "BusinessUnit": null,
    "ContractType": null,
    "ManagerLevel": null,
    "Organization": null,
    "TrendingFlag": true,
    "workLocation": [
      {
        "Country": null,
        "Region1": null,
        "Region2": null,
        "Region3": null,
        "Building": null,
        "Latitude": 40.72053,
        "Longitude": -74.04624,
        "LocationId": 300000002980557,
        "PostalCode": null,
        "TownOrCity": null,
        "AddressLine1": null,
        "AddressLine2": null,
        "AddressLine3": null,
        "AddressLine4": null,
        "LocationName": "US New Jersey (JCO) C79"
      }
    ],
    "LegalEmployer": null,
    "MediaThumbURL": null,
    "WorkplaceType": "Work From Home",
    "BusinessUnitId": 300000002965433,
    "OrganizationId": 300000002988873,
    "PostingEndDate": null,
    "LegalEmployerId": 300000002988873,
    "PrimaryLocation": "United States",
    "WorkDurationYears": null,
    "WorkplaceTypeCode": "ORA_REMOTE",
    "BeFirstToApplyFlag": false,
    "WorkDurationMonths": null,
    "otherWorkLocations": [],
    "secondaryLocations": [],
    "ShortDescriptionStr": "Responsibilities:  \n•\tdesign, development, and implementation of data solutions using AWS and Snowflake.  \n•\tCollaborate with cross-functional teams to understand business requirements and translate them into technical solutions.  \n•\tDevelop and maintain data pipelines, ensuring data quality, integrity, and security.  \n•\tOptimize data storage and retrieval processes to support data warehousing and analytics.  \n•\tProvide technical leadership and mentorship to junior data engineers.  \n•\tEnsure compliance with industry standards and best practices in data engineering.  \n•\tUtilize knowledge of insurance, particularly claims and loss, to enhance data solutions\n",
    "requisitionFlexFields": [],
    "DomesticTravelRequired": null,
    "PrimaryLocationCountry": "US",
    "ExternalQualificationsStr": null,
    "ExternalResponsibilitiesStr": null,
    "InternationalTravelRequired": null
  },
  "detail_meta": {
    "url": "https://fa-ewjt-saasfaprod1.fa.ocs.oraclecloud.com/hcmRestApi/resources/latest/recruitingCEJobRequisitionDetails?expand=all&onlyData=true&finder=ById;Id=%2213070%22,siteNumber=cx_2",
    "http_status": 200,
    "content_type": "application/json",
    "response_bytes": 12386
  },
  "detail_errors": []
}