Data Engineer

{
  "content_hash": "2e10b614667551cf35b140cd76edfcdc299e40b56ebab2f77ea606418c627e1b",
  "source_hash": "cbc6aad1ac7f0253c4e1e487845aec50be9443b75c1f71e1c1752e382c3b94c1",
  "last_changed_at": "2026-06-06T20:28:30.387Z",
  "active_status": "active"
}

{
  "language": "en",
  "location": {
    "raw": "Florida, United States",
    "city": null,
    "region": "FL",
    "country": "United States",
    "is_remote": false,
    "confidence": 0.8
  },
  "salary_max": null,
  "salary_min": null,
  "inferred_at": "2026-06-06T20:28:30.064Z",
  "launch_scope": {
    "reason": "english_us_canada",
    "included": true,
    "language": "en",
    "location": {
      "raw": "Florida, United States",
      "city": null,
      "region": "FL",
      "country": "United States",
      "is_remote": false,
      "confidence": 0.8
    },
    "countries": [
      "United States"
    ]
  },
  "remote_policy": "hybrid",
  "salary_period": null,
  "workplace_type": "hybrid",
  "salary_currency": null
}

{}

{
  "detail": {
    "Id": "82821",
    "Title": "Data Engineer",
    "media": [],
    "skills": [],
    "JobType": null,
    "Category": null,
    "JobGrade": null,
    "JobLevel": null,
    "JobShift": null,
    "WorkDays": null,
    "WorkHours": null,
    "WorkYears": null,
    "Department": null,
    "HotJobFlag": false,
    "StudyLevel": null,
    "WorkMonths": null,
    "WorkerType": null,
    "GeographyId": 300000004556144,
    "JobFamilyId": null,
    "JobFunction": null,
    "JobSchedule": "Full time",
    "BusinessUnit": null,
    "ContractType": null,
    "Organization": null,
    "TrendingFlag": true,
    "workLocation": [],
    "ContentLocale": "en",
    "HiringManager": null,
    "LegalEmployer": null,
    "RequisitionId": 300004677141691,
    "WorkplaceType": "",
    "BusinessUnitId": 300000003059217,
    "OrganizationId": 300000003022077,
    "GeographyNodeId": 100001401754622,
    "JobFunctionCode": null,
    "LegalEmployerId": 300000003022077,
    "PrimaryLocation": "Florida, United States",
    "RequisitionType": "Professional",
    "NumberOfOpenings": null,
    "WorkplaceTypeCode": null,
    "BeFirstToApplyFlag": false,
    "otherWorkLocations": [],
    "secondaryLocations": [
      {
        "Name": "New York, United States",
        "Latitude": "42.1698",
        "Longitude": "-77.78965",
        "CountryCode": "US",
        "GeographyId": 300000004556123,
        "GeographyNodeId": 100001401754636,
        "RequisitionLocationId": 300004677215130
      },
      {
        "Name": "Chicago, Illinois, United States",
        "Latitude": "41.88425",
        "Longitude": "-87.63245",
        "CountryCode": "US",
        "GeographyId": 300000004643873,
        "GeographyNodeId": 100001401754680,
        "RequisitionLocationId": 300004677215131
      },
      {
        "Name": "San Francisco, California, United States",
        "Latitude": "37.77712",
        "Longitude": "-122.41967",
        "CountryCode": "US",
        "GeographyId": 300000004623396,
        "GeographyNodeId": 100001401754693,
        "RequisitionLocationId": 300004677215132
      },
      {
        "Name": "Austin, Texas, United States",
        "Latitude": "30.16899",
        "Longitude": "-97.91981",
        "CountryCode": "US",
        "GeographyId": 300000004613715,
        "GeographyNodeId": 100001401754662,
        "RequisitionLocationId": 300004677215133
      },
      {
        "Name": "San Jose, California, United States",
        "Latitude": "37.33865",
        "Longitude": "-121.88542",
        "CountryCode": "US",
        "GeographyId": 300000004623394,
        "GeographyNodeId": 100001401754692,
        "RequisitionLocationId": 300004680655229
      }
    ],
    "ExternalContactName": null,
    "ShortDescriptionStr": "",
    "ExternalContactEmail": null,
    "ExternalPostedEndDate": null,
    "OtherRequisitionTitle": null,
    "requisitionFlexFields": [],
    "ApplyWhenNotPostedFlag": true,
    "DomesticTravelRequired": null,
    "ExternalDescriptionStr": "<p style=\"background-color: white;\"><span style=\"color: rgb(51, 51, 51);\"><span style=\"font-size: 14pt;\"><strong>Data Engineer</strong></span></span></p><p style=\"background-color: white; margin-bottom: 0in;\"><span style=\"color: rgb(51, 51, 51);\">-----------------------------------------------------------------------------------------------------------------------</span></p><p style=\"background-color: white; margin-bottom: 0in;\"><span style=\"color: rgb(51, 51, 51);\">Location:&nbsp; &nbsp; &nbsp; &nbsp; &nbsp;Florida, Austin, NY, San Francisco, San Jose California, Chicago</span></p><p style=\"background-color: white; margin-bottom: 0in;\"><span style=\"color: rgb(51, 51, 51);\">Type:&nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; Full-time (Hybrid working)&nbsp;</span></p><p style=\"background-color: white; margin-bottom: 0in;\"><span style=\"color: rgb(51, 51, 51);\">Department: &nbsp;&nbsp;REMS (Digital)</span></p><p style=\"background-color: white; margin-bottom: 0in;\"><span style=\"color: rgb(51, 51, 51);\">&nbsp;-----------------------------------------------------------------------------------------------------------------------</span></p><p style=\"background-color: white; margin-bottom: 0in;\">&nbsp;</p><p style=\"background-color: white; margin-bottom: 0in;\"><span style=\"color: rgb(51, 51, 51);\"><strong>Summary</strong></span></p><p>&nbsp;</p><p><span style=\"color: rgb(59, 56, 56);\">The role involves leveraging data from multiple third-party sources as well as internal client systems to identify merchant opportunities. For existing merchants, the team analyze their current product usage, highlight gaps, and generate upsell leads for Sales outreach. For new merchants, the team consolidates and refine data from various sources to build actionable insights. While most pipelines are already established, the team manage and maintain them with a deep understanding of the data. In addition, the team handle campaign requests from Sales, ensuring that all lead generation activities are aligned with business objectives.</span></p><p style=\"background-color: white;\"><span style=\"color: rgb(51, 51, 51);\"><strong>Responsibilities</strong></span></p><ul style=\"list-style-type: disc; padding-left: 24px;\"><li><p style=\"background-color: white;\"><span style=\"color: rgb(59, 56, 56);\">Managing the team’s existing data and building data pipelines to support lead generation.</span></p></li><li><p style=\"background-color: white;\"><span style=\"color: rgb(59, 56, 56);\">Design, build, and manage data-pipelines for Lead Sourcing/Generation, partnering with Sales, BDR, Marketing, and Enablement to align messaging, personas, and GTM strategy.&nbsp;</span></p></li><li><p style=\"background-color: white;\"><span style=\"color: rgb(59, 56, 56);\">Customize Flows by segment (ICP, industry, stage, role, account status), manage enrollment logic, branching, and exits, and ensure CRM sync, data cleanliness, compliance, and deliverability.&nbsp;</span></p></li><li><p style=\"background-color: white;\"><span style=\"color: rgb(59, 56, 56);\">Audit templates, content links, and annual copyright updates; troubleshoot delivery and logging issues across systems.</span></p></li><li><p style=\"background-color: white;\"><span style=\"color: rgb(59, 56, 56);\">Govern and optimize Flows through regular audits, standardized templates, documentation, training, and support.&nbsp;</span></p></li><li><p style=\"background-color: white;\"><span style=\"color: rgb(59, 56, 56);\">Track and analyze performance metrics (engagement, conversion, task completion, exits), build dashboards, run A/B tests, and present insights to Sales, RevOps, and Marketing.</span></p></li><li><p style=\"background-color: white;\"><span style=\"color: rgb(59, 56, 56);\">Lead the development and implementation of advanced data science models.</span></p></li><li><p style=\"background-color: white;\"><span style=\"color: rgb(59, 56, 56);\"><span>&nbsp;</span>Collaborate with stakeholders to understand requirements.</span></p></li><li><p style=\"background-color: white;\"><span style=\"color: rgb(59, 56, 56);\">Drive best practices in data science.</span></p></li><li><p style=\"background-color: white;\"><span style=\"color: rgb(59, 56, 56);\">Ensure data quality and integrity in all processes.</span></p></li><li><p style=\"background-color: white;\"><span style=\"color: rgb(59, 56, 56);\">Stay updated with the latest trends in data science.</span><br>&nbsp;</p></li></ul><p style=\"background-color: white;\"><span style=\"color: rgb(51, 51, 51);\"><strong>Eligibility Requirements</strong></span></p><ul style=\"list-style-type: disc; padding-left: 22.33px;\"><li><span style=\"color: rgb(59, 56, 56);\">5+ years relevant experience advanced analytics or data science roles</span></li><li><span style=\"color: rgb(59, 56, 56);\">Bachelor’s/Master’s degree/PhD in a quantitative field (e.g., Analytics, Statistics, Mathematics, Economics, Engineering) or equivalent industry experience.</span></li><li><span style=\"color: rgb(59, 56, 56);\">Deep expertise in experimentation, including A/B testing design, execution, analysis, and causal inference to measure true product/feature/strategy impacts</span></li><li><span style=\"color: rgb(59, 56, 56);\">Strong background in time-series analysis and forecasting to support growth planning and performance monitoring.</span></li><li><span style=\"color: rgb(59, 56, 56);\">Advanced proficiency must have in SQL, Python, ML, APIs with hands-on experience using large-scale analytics platforms (e.g., Big Query) Integrations with Salesforce Marketing Cloud and analytics tools (e.g., Jupyter Notebooks) to analyze large, multi-dimensional datasets.&nbsp;</span></li><li><span style=\"color: rgb(59, 56, 56);\">Experience in&nbsp;Machine Learning or LLMS</span></li><li><span style=\"color: rgb(59, 56, 56);\">Proven ability to synthesize complex analytical findings into clear, actionable insights and compelling narratives for senior stakeholders</span></li><li><span style=\"color: rgb(59, 56, 56);\">Strong problem-solving skills with a track record of delivering data-driven recommendations that influence product and business strategy</span></li><li><span style=\"color: rgb(59, 56, 56);\">Experience building dashboards and automated reporting solutions using visualization tools (e.g. Tableau) to communicate experimentation results and ongoing performance metrics</span></li><li><span style=\"color: rgb(59, 56, 56);\">Industry experience in payments, eCommerce, or financial services is a strong plus</span></li><li><span style=\"color: rgb(59, 56, 56);\">Excellent written and verbal communication skills, with the ability to explain complex analytical concepts to both technical and non-technical audiences</span></li><li><span style=\"color: rgb(59, 56, 56);\"><strong>Nice to Have:&nbsp;</strong>Experience with Tableau or Salesforce is beneficial, and Finance/Payments &amp; eCom background is a good to have</span></li></ul><p style=\"background-color: white;\">&nbsp;</p><p style=\"background-color: white;\"><span style=\"color: rgb(51, 51, 51);\">In the US, the target base salary for this role is&nbsp;upto USD 93,600. Compensation is based on a range of factors that include relevant experience, knowledge, skills, other job-related qualifications, and geography. We expect the majority of candidates who are offered roles at our company to fall throughout the range based on these factors.</span></p><p style=\"background-color: white; line-height: 12pt;\"><span style=\"color: rgb(51, 51, 51);\"><strong>How to Apply</strong></span></p><ul style=\"list-style-type: disc;\"><li style=\"background-color: white; color: rgb(51, 51, 51);\"><span>Click \"Apply Now\" to submit your resume through our career site</span></li><li style=\"background-color: white; color: rgb(51, 51, 51);\"><span>Be sure to include any relevant experience that aligns with the role.</span></li><li style=\"background-color: white; color: rgb(51, 51, 51);\"><span>Qualified candidates will be contacted by a member of our recruitment team for next steps</span></li></ul><p style=\"background-color: white;\"><span style=\"color: rgb(51, 51, 51);\"><strong>About eClerx</strong></span></p><p style=\"background-color: white; margin-bottom: 12pt;\"><span style=\"color: rgb(51, 51, 51);\">eClerx&nbsp;is a leading provider of productized services, bringing together people, technology and domain expertise to amplify business results.​</span><br><br><span style=\"color: rgb(51, 51, 51);\">The firm provides business process management, automation, and analytics services to a number of Fortune 2000 enterprises, including some of the world’s leading financial services, communications, retail, fashion, media &amp; entertainment, manufacturing, travel &amp; leisure, and technology companies. Incorporated in 2000, eClerx is traded on both the Bombay and National Stock Exchanges of India. The firm employs more than 19,000 people across Australia, Canada, France, Germany, Switzerland, Egypt. India, Italy, Netherlands, Peru, Philippines, Singapore, Thailand, the UK, and the USA.</span></p><p style=\"background-color: white;\"><span style=\"color: rgb(51, 51, 51);\">For more information, visit&nbsp;</span><a href=\"http://www.eclerx.com/\" target=\"_blank\"><span style=\"color: black;\"><span lang=\"EN-US\">www.eclerx.com</span></span></a><span style=\"color: rgb(51, 51, 51);\">&nbsp;&nbsp;</span></p><p style=\"background-color: white;\"><span style=\"color: rgb(51, 51, 51);\">You can also find us on:</span></p><p style=\"background-color: white;\"><a href=\"https://www.linkedin.com/company/eclerx/\"><span style=\"color: black;\"><span lang=\"EN-US\">https://www.linkedin.com/company/eclerx/</span></span></a><span style=\"color: rgb(51, 51, 51);\">&nbsp;</span></p><p style=\"background-color: white;\"><a href=\"https://www.indeed.com/cmp/Eclerx/about\"><span style=\"color: black;\"><span lang=\"EN-US\">https://www.indeed.com/cmp/Eclerx/about</span></span></a></p><p style=\"background-color: white;\"><a href=\"https://www.glassdoor.com/Overview/Working-at-eClerx-EI_IE230253.11,17.htm\"><span style=\"color: black;\"><span lang=\"EN-US\">https://www.glassdoor.com/eClerx</span></span></a></p><p style=\"background-color: white;\"><span style=\"color: rgb(51, 51, 51);\">eClerx is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability or protected veteran status, or any other legally protected basis, in accordance with applicable law. We are also committed to protecting and safeguarding your personal data. Please find our policy&nbsp;</span><a href=\"https://eclerx.com/privacy-policy/\" target=\"_blank\"><span style=\"color: black;\"><span lang=\"EN-US\">here</span></span></a></p><p>&nbsp;</p>",
    "ObjectVerNumberProfile": "2",
    "PrimaryLocationCountry": "US",
    "CorporateDescriptionStr": "",
    "ExternalPostedStartDate": "2026-04-10T07:13:58+00:00",
    "ExternalQualificationsStr": "",
    "InternalQualificationsStr": "",
    "OrganizationDescriptionStr": "",
    "primaryLocationCoordinates": [
      {
        "Latitude": "25.70441",
        "Longitude": "-80.25514",
        "CountryCode": "US",
        "GeographyId": 300000004556144,
        "GeographyNodeId": 100001401754622
      }
    ],
    "ExternalResponsibilitiesStr": "",
    "InternalResponsibilitiesStr": "",
    "InternationalTravelRequired": null
  },
  "list_job": {
    "Id": "82821",
    "Title": "Data Engineer",
    "JobType": null,
    "Distance": 1775779200000,
    "JobShift": null,
    "Language": "US",
    "WorkDays": null,
    "JobFamily": null,
    "Relevancy": 3,
    "WorkHours": null,
    "Department": null,
    "HotJobFlag": false,
    "PostedDate": "2026-04-10",
    "StudyLevel": null,
    "WorkerType": null,
    "GeographyId": 300000004556144,
    "JobFunction": null,
    "JobSchedule": null,
    "BusinessUnit": null,
    "ContractType": null,
    "ManagerLevel": null,
    "Organization": null,
    "TrendingFlag": true,
    "workLocation": [],
    "LegalEmployer": null,
    "MediaThumbURL": null,
    "WorkplaceType": "",
    "BusinessUnitId": 300000003059217,
    "OrganizationId": 300000003022077,
    "PostingEndDate": null,
    "LegalEmployerId": 300000003022077,
    "PrimaryLocation": "Florida, United States",
    "WorkDurationYears": null,
    "WorkplaceTypeCode": null,
    "BeFirstToApplyFlag": false,
    "WorkDurationMonths": null,
    "otherWorkLocations": [],
    "secondaryLocations": [
      {
        "Name": "New York, United States",
        "Latitude": 42.1698,
        "Longitude": -77.78965,
        "CountryCode": "US",
        "GeographyId": 300000004556123,
        "GeographyNodeId": 100001401754636,
        "RequisitionLocationId": 300004677215130
      },
      {
        "Name": "Chicago, Illinois, United States",
        "Latitude": 41.88425,
        "Longitude": -87.63245,
        "CountryCode": "US",
        "GeographyId": 300000004643873,
        "GeographyNodeId": 100001401754680,
        "RequisitionLocationId": 300004677215131
      },
      {
        "Name": "San Francisco, California, United States",
        "Latitude": 37.77712,
        "Longitude": -122.41967,
        "CountryCode": "US",
        "GeographyId": 300000004623396,
        "GeographyNodeId": 100001401754693,
        "RequisitionLocationId": 300004677215132
      },
      {
        "Name": "Austin, Texas, United States",
        "Latitude": 30.16899,
        "Longitude": -97.91981,
        "CountryCode": "US",
        "GeographyId": 300000004613715,
        "GeographyNodeId": 100001401754662,
        "RequisitionLocationId": 300004677215133
      },
      {
        "Name": "San Jose, California, United States",
        "Latitude": 37.33865,
        "Longitude": -121.88542,
        "CountryCode": "US",
        "GeographyId": 300000004623394,
        "GeographyNodeId": 100001401754692,
        "RequisitionLocationId": 300004680655229
      }
    ],
    "ShortDescriptionStr": "",
    "requisitionFlexFields": [],
    "DomesticTravelRequired": null,
    "PrimaryLocationCountry": "US",
    "ExternalQualificationsStr": null,
    "ExternalResponsibilitiesStr": null,
    "InternationalTravelRequired": null
  },
  "detail_meta": {
    "url": "https://fa-ewji-saasfaprod1.fa.ocs.oraclecloud.com/hcmRestApi/resources/latest/recruitingCEJobRequisitionDetails?expand=all&onlyData=true&finder=ById;Id=%2282821%22,siteNumber=CX_1",
    "http_status": 200,
    "content_type": "application/json",
    "response_bytes": 14893
  },
  "detail_errors": []
}