Full Stack Data Engineer

{
  "content_hash": "12e06d26ea50b2f403063a0cad9f22dbe08486654ee5ddf8ec470b9b5024131c",
  "source_hash": "7b1df48b3722590e4e4553bf8176e95ee27eee58a1c006f28add3373df525086",
  "last_changed_at": "2026-06-06T22:14:20.349Z",
  "active_status": "deleted"
}

{
  "language": "en",
  "location": {
    "raw": "Dearborn, MI, United States",
    "city": "Dearborn",
    "region": "MI",
    "country": "United States",
    "is_remote": false,
    "confidence": 0.8
  },
  "salary_max": 166600,
  "salary_min": 99600,
  "inferred_at": "2026-06-04T10:57:54.574Z",
  "launch_scope": {
    "reason": "english_us_canada",
    "included": true,
    "language": "en",
    "location": {
      "raw": "Dearborn, MI, United States",
      "city": "Dearborn",
      "region": "MI",
      "country": "United States",
      "is_remote": false,
      "confidence": 0.8
    },
    "countries": [
      "United States"
    ]
  },
  "remote_policy": "hybrid",
  "salary_period": "day",
  "workplace_type": "hybrid",
  "salary_currency": "USD"
}

{}

{
  "detail": {
    "Id": "64536",
    "Title": "Full Stack Data Engineer",
    "media": [],
    "skills": [],
    "JobType": null,
    "Category": "Global Data Insight & Analytics",
    "JobGrade": null,
    "JobLevel": null,
    "JobShift": null,
    "WorkDays": null,
    "WorkHours": null,
    "WorkYears": null,
    "Department": null,
    "HotJobFlag": false,
    "StudyLevel": "Bachelor's Degree or equivalent",
    "WorkMonths": null,
    "WorkerType": null,
    "GeographyId": 300000009182319,
    "JobFamilyId": 300002487961196,
    "JobFunction": "Global Data Insight & Analytics",
    "JobSchedule": "Full time",
    "BusinessUnit": null,
    "ContractType": null,
    "Organization": null,
    "TrendingFlag": false,
    "workLocation": [
      {
        "Country": "US",
        "Region1": "Wayne",
        "Region2": "MI",
        "Region3": null,
        "Building": null,
        "Latitude": "42.30042",
        "Longitude": "-83.25095",
        "LocationId": 300000005668533,
        "PostalCode": "48124",
        "TownOrCity": "Dearborn",
        "AddressLine1": "22001 Michigan Ave",
        "AddressLine2": null,
        "AddressLine3": null,
        "AddressLine4": null,
        "LocationName": "Wagner Place West"
      }
    ],
    "ContentLocale": "en",
    "HiringManager": null,
    "LegalEmployer": null,
    "RequisitionId": 300007417762184,
    "WorkplaceType": "Hybrid",
    "BusinessUnitId": 300000004335154,
    "OrganizationId": 300000004335154,
    "GeographyNodeId": 100036559723376,
    "JobFunctionCode": "DIA",
    "LegalEmployerId": 300000004907524,
    "PrimaryLocation": "Dearborn, MI, United States",
    "RequisitionType": "Agency Conversion",
    "NumberOfOpenings": null,
    "WorkplaceTypeCode": "ORA_HYBRID",
    "BeFirstToApplyFlag": false,
    "otherWorkLocations": [],
    "secondaryLocations": [],
    "ExternalContactName": null,
    "ShortDescriptionStr": "At Ford, we are transforming the future of mobility, and data is the engine driving that transformation. The Finance Data Hub is at the center of this evolution, modernizing how Ford manages, analyzes, and leverages financial data globally. We are looking for a talented and driven Data Engineer to join our product team. In this role, you will build the scalable, high-performance data pipelines and cloud infrastructure that power critical finance initiatives and strategic decision-making across the enterprise.",
    "ExternalContactEmail": null,
    "ExternalPostedEndDate": "2026-06-05T00:00:00+00:00",
    "OtherRequisitionTitle": null,
    "requisitionFlexFields": [
      {
        "Value": "Master of Computer Applications",
        "Prompt": "Preferred Degree",
        "ControlType": "SingleChoiceList",
        "SequenceNumber": 1
      }
    ],
    "ApplyWhenNotPostedFlag": false,
    "DomesticTravelRequired": null,
    "ExternalDescriptionStr": "<p>As a Data Engineer, you will design and scale robust batch and streaming data pipelines on the Google Cloud Platform (GCP). You will build exceptional analytical data products rooted in solid data warehousing principles.</p>\n<p>Working in an agile, customer-centric environment, you will champion modern software engineering practices. You will manage and scale our platform’s infrastructure using Terraform (Infrastructure as Code) and continuously deliver high-quality code through robust CI/CD pipelines. As collaboration is key, you will partner closely with analytics stakeholders to streamline how data is acquired, processed, and presented.</p>\n<p>Security and quality are built into everything we do. You will proactively monitor data quality, document data lineage, and address code vulnerabilities using modern DevSecOps tools. Additionally, you will optimize our existing data solutions to ensure they are highly secure, reliable, cost-effective, and performing at their peak, while providing critical production support to keep our pipelines running smoothly.</p>",
    "ObjectVerNumberProfile": null,
    "PrimaryLocationCountry": "US",
    "CorporateDescriptionStr": "",
    "ExternalPostedStartDate": "2026-06-03T21:18:07+00:00",
    "ExternalQualificationsStr": "<p><strong>Technical Skills &amp; Experience</strong></p><ul><li><strong>Cloud Platform Expertise: </strong>3+ years of strong hands-on experience building and deploying data solutions on Google Cloud Platform (GCP).</li><li><strong>Data Pipeline Engineering:</strong> Proven experience designing and maintaining both batch and streaming data ingestion pipelines at scale.</li><li><strong>Infrastructure as Code (IaC): </strong>Proficiency in managing infrastructure using Terraform.</li><li><strong>CI/CD &amp; DevOps: </strong>2+ years of solid experience with continuous integration and continuous deployment (CI/CD) methodologies and enhancing DevOps capabilities.</li><li><strong>Data Modeling &amp; Governance:</strong> Deep understanding of data warehousing principles, data mapping, data lineage, and enterprise data governance standards.</li><li><strong>Modern Development Practices: </strong>Experience working in an Agile/Scrum environment utilizing Test-Driven Development (TDD).</li><li><strong>Security &amp; Quality Tools:</strong> Familiarity with code quality and vulnerability scanning tools such as SonarQube, Checkmarx, Fossa, and/or Cycode.</li></ul><p><br>&nbsp;</p><p><strong>Soft Skills &amp; Education</strong></p><ul><li><strong>Education:</strong> Requires a bachelor’s or foreign equivalent degree in computer science, information technology or a technology related field</li><li><strong>Communication &amp; Collaboration: </strong>Excellent communication and interpersonal skills, with a proven ability to collaborate with business stakeholders and advocate for well-designed technical solutions.</li><li><strong>Problem-Solving &amp; Mindset:</strong> A customer-centric approach to engineering with strong analytical, troubleshooting, and optimization skills.</li></ul><p>&nbsp;</p><p>You may not check every box, or your experience may look a little different from what we've outlined, but if you think you can bring value to Ford Motor Company, we encourage you to apply!</p><p>&nbsp;</p><p><strong>As an established global company, we offer the benefit of choice. You can choose what your Ford future will look like: will your story span the globe, or keep you close to home? Will your career be a deep dive into what you love, or a series of new teams and new skills? Will you be a leader, a changemaker, a technical expert, a culture builder…or all of the above? No matter what you choose, we offer a work life that works for you, including:</strong></p><p>• Immediate medical, dental, and prescription drug coverage</p><p>• Flexible family care, parental leave, new parent ramp-up programs, subsidized back-up child care and more</p><p>• Vehicle discount program for employees and family members, and management leases</p><p>• Tuition assistance</p><p>• Established and active employee resource groups</p><p>• Paid time off for individual and team community service</p><p>• A generous schedule of paid holidays, including the week between Christmas and New Year’s Day</p><p>• Paid time off and the option to purchase additional vacation time.</p><p><strong>For a detailed look at our benefits, click here:&nbsp;</strong><a href=\"https://fordcareers.co/GSR\" target=\"_blank\">Benefit Summary&nbsp;</a></p><p>This position is a salary grade<strong> </strong>7 or 8.&nbsp;</p><p>This position is a salary grade 7 and ranges from $99,600-$166,600., This position is a salary grade 8 and ranges from $115,000-$192,900. &nbsp; &nbsp;&nbsp;</p><p>Final determination of salary grade will be based on candidate's skills and experience, and base salary will be set within the applicable range according to job scope, responsibility and competitive market value.</p><p><i><strong>*Visa Sponsorship is provided for this role</strong></i><strong>*</strong></p><p>Candidates for positions with Ford Motor Company must be legally authorized to work in the United States. Verification of employment eligibility will be required at the time of hire.</p><p>We are an Equal Opportunity Employer committed to a culturally diverse workforce. All qualified applicants will receive consideration for employment without regard to race, religion, color, age, sex, national origin, sexual orientation, gender identity, disability status or protected veteran status. In the United States, If you need a reasonable accommodation for the online application process due to a disability, please call 1-888-336-0660.<br>&nbsp;</p><p>#LI-Hybrid</p><p>#LI-GH2</p>",
    "InternalQualificationsStr": "<p><strong>Technical Skills &amp; Experience</strong></p><ul><li><strong>Cloud Platform Expertise: </strong>3+ years of strong hands-on experience building and deploying data solutions on Google Cloud Platform (GCP).</li><li><strong>Data Pipeline Engineering:</strong> Proven experience designing and maintaining both batch and streaming data ingestion pipelines at scale.</li><li><strong>Infrastructure as Code (IaC): </strong>Proficiency in managing infrastructure using Terraform.</li><li><strong>CI/CD &amp; DevOps: </strong>2+ years of solid experience with continuous integration and continuous deployment (CI/CD) methodologies and enhancing DevOps capabilities.</li><li><strong>Data Modeling &amp; Governance:</strong> Deep understanding of data warehousing principles, data mapping, data lineage, and enterprise data governance standards.</li><li><strong>Modern Development Practices: </strong>Experience working in an Agile/Scrum environment utilizing Test-Driven Development (TDD).</li><li><strong>Security &amp; Quality Tools:</strong> Familiarity with code quality and vulnerability scanning tools such as SonarQube, Checkmarx, Fossa, and/or Cycode.</li></ul><p><br>&nbsp;</p><p><strong>Soft Skills &amp; Education</strong></p><ul><li><strong>Education:</strong> Requires a bachelor’s or foreign equivalent degree in computer science, information technology or a technology related field</li><li><strong>Communication &amp; Collaboration: </strong>Excellent communication and interpersonal skills, with a proven ability to collaborate with business stakeholders and advocate for well-designed technical solutions.</li><li><strong>Problem-Solving &amp; Mindset:</strong> A customer-centric approach to engineering with strong analytical, troubleshooting, and optimization skills.</li></ul>",
    "OrganizationDescriptionStr": "",
    "primaryLocationCoordinates": [
      {
        "Latitude": "42.32207",
        "Longitude": "-83.17629",
        "CountryCode": "US",
        "GeographyId": 300000009182319,
        "GeographyNodeId": 100036559723376
      }
    ],
    "ExternalResponsibilitiesStr": "<ul><li><strong>Pipeline Development &amp; Ingestion:</strong> Design, build, and scale robust batch and streaming data pipelines on Google Cloud Platform (GCP) to process large volumes of finance data.</li><li><strong>Data Warehousing &amp; Architecture:</strong> Develop exceptional analytical data products applying solid data warehouse principles, data modeling, and best practices.</li><li><strong>Infrastructure &amp; DevOps:</strong> Maintain and enhance the platform's infrastructure using Terraform (Infrastructure as Code) and continuously develop, evaluate, and deploy code using CI/CD pipelines.</li><li><strong>Stakeholder Collaboration:</strong> Partner closely with data analytics stakeholders to streamline and optimize data acquisition, processing, and presentation workflows.</li><li><strong>Data Governance &amp; Quality:</strong> Implement and promote enterprise data governance models focusing on data protection, sharing, reuse, standards, quality monitoring, and data lineage documentation.</li><li><strong>Code Quality &amp; Security:</strong> Write clean, reliable code using Test-Driven Development (TDD) in an agile environment, actively addressing security vulnerabilities and code quality issues using tools like SonarQube, Checkmarx, Fossa, and Cycode.</li><li><strong>Optimization &amp; Cost Management:</strong> Continuously optimize existing data solutions (pipelines, infrastructure, and products) to ensure high performance, security, reliability, low vulnerability, and cost efficiency.</li><li><strong>Production Support:</strong> Monitor production pipelines and provide timely production support to resolve issues in accordance with established SLAs.</li><li><strong>Continuous Improvement:</strong> Stay current on modern data engineering practices, contribute to the company's technical direction, and proactively build domain expertise in finance data.</li></ul>",
    "InternalResponsibilitiesStr": "<ul><li><strong>Pipeline Development &amp; Ingestion:</strong> Design, build, and scale robust batch and streaming data pipelines on Google Cloud Platform (GCP) to process large volumes of finance data.</li><li><strong>Data Warehousing &amp; Architecture:</strong> Develop exceptional analytical data products applying solid data warehouse principles, data modeling, and best practices.</li><li><strong>Infrastructure &amp; DevOps:</strong> Maintain and enhance the platform's infrastructure using Terraform (Infrastructure as Code) and continuously develop, evaluate, and deploy code using CI/CD pipelines.</li><li><strong>Stakeholder Collaboration:</strong> Partner closely with data analytics stakeholders to streamline and optimize data acquisition, processing, and presentation workflows.</li><li><strong>Data Governance &amp; Quality:</strong> Implement and promote enterprise data governance models focusing on data protection, sharing, reuse, standards, quality monitoring, and data lineage documentation.</li><li><strong>Code Quality &amp; Security:</strong> Write clean, reliable code using Test-Driven Development (TDD) in an agile environment, actively addressing security vulnerabilities and code quality issues using tools like SonarQube, Checkmarx, Fossa, and Cycode.</li><li><strong>Optimization &amp; Cost Management:</strong> Continuously optimize existing data solutions (pipelines, infrastructure, and products) to ensure high performance, security, reliability, low vulnerability, and cost efficiency.</li><li><strong>Production Support:</strong> Monitor production pipelines and provide timely production support to resolve issues in accordance with established SLAs.</li><li><strong>Continuous Improvement:</strong> Stay current on modern data engineering practices, contribute to the company's technical direction, and proactively build domain expertise in finance data.</li></ul>",
    "InternationalTravelRequired": null
  },
  "list_job": {
    "Id": "64536",
    "Title": "Full Stack Data Engineer",
    "JobType": null,
    "Distance": 1780444800000,
    "JobShift": null,
    "Language": "US",
    "WorkDays": null,
    "JobFamily": null,
    "Relevancy": 9,
    "WorkHours": null,
    "Department": null,
    "HotJobFlag": false,
    "PostedDate": "2026-06-03",
    "StudyLevel": null,
    "WorkerType": null,
    "GeographyId": 300000009182319,
    "JobFunction": null,
    "JobSchedule": null,
    "BusinessUnit": null,
    "ContractType": null,
    "ManagerLevel": null,
    "Organization": null,
    "TrendingFlag": false,
    "workLocation": [
      {
        "Country": "US",
        "Region1": "Wayne",
        "Region2": "MI",
        "Region3": null,
        "Building": null,
        "Latitude": 42.30042,
        "Longitude": -83.25095,
        "LocationId": 300000005668533,
        "PostalCode": "48124",
        "TownOrCity": "Dearborn",
        "AddressLine1": "22001 Michigan Ave",
        "AddressLine2": null,
        "AddressLine3": null,
        "AddressLine4": null,
        "LocationName": "Wagner Place West"
      }
    ],
    "LegalEmployer": null,
    "MediaThumbURL": null,
    "WorkplaceType": "Hybrid",
    "BusinessUnitId": 300000004335154,
    "OrganizationId": 300000004335154,
    "PostingEndDate": null,
    "LegalEmployerId": 300000004907524,
    "PrimaryLocation": "Dearborn, MI, United States",
    "WorkDurationYears": null,
    "WorkplaceTypeCode": "ORA_HYBRID",
    "BeFirstToApplyFlag": false,
    "WorkDurationMonths": null,
    "otherWorkLocations": [],
    "secondaryLocations": [],
    "ShortDescriptionStr": "At Ford, we are transforming the future of mobility, and data is the engine driving that transformation. The Finance Data Hub is at the center of this evolution, modernizing how Ford manages, analyzes, and leverages financial data globally. We are looking for a talented and driven Data Engineer to join our product team. In this role, you will build the scalable, high-performance data pipelines and cloud infrastructure that power critical finance initiatives and strategic decision-making across the enterprise.",
    "requisitionFlexFields": [],
    "DomesticTravelRequired": null,
    "PrimaryLocationCountry": "US",
    "ExternalQualificationsStr": null,
    "ExternalResponsibilitiesStr": null,
    "InternationalTravelRequired": null
  },
  "detail_meta": {
    "url": "https://efds.fa.em5.oraclecloud.com/hcmRestApi/resources/latest/recruitingCEJobRequisitionDetails?expand=all&onlyData=true&finder=ById;Id=%2264536%22,siteNumber=CX_1",
    "http_status": 200,
    "content_type": "application/json",
    "response_bytes": 15023
  },
  "detail_errors": []
}