Senior Specialist, Yield Management – GTM Data Engineer

Ford Motor Company

. Design, build, and maintain scalable ETL/ELT pipelines to ingest, transform, and deliver data from diverse sources into Google BigQuery and other cloud data platforms .

Posted 10/13/2026full-timeDearborn • Michigan • United StatesSenior💰 $115,000 - $192,900 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in designing and maintaining scalable ETL/ELT pipelines, optimizing Google BigQuery performance, and implementing data governance practices. Proficient in Python and SQL programming, with a strong focus on data modeling and business intelligence tools.

Highest-signal resume keywords

ETL/ELT Pipeline DevelopmentGoogle BigQuery OptimizationPython ProgrammingData Governance ImplementationBusiness Intelligence Tools

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

PythonSQLGoogle BigQueryDataflowData ModelingCI/CD PipelinesData Catalog ManagementREST API IngestionApache AirflowData Quality Monitoring

Soft Skills

CollaborationCommunicationProblem-Solving

Tools & Technologies

Google Cloud PlatformLookerPower BITableauGoogle Data Catalog

Industry Keywords

Data EngineeringData GovernanceMetadata ManagementData MartAI/ML Models

Tech Stack

Tools & technologies

AirflowApacheBigQueryCloudETLGoogle Cloud PlatformPythonSQLTableau

About the role

Key responsibilities & impact

Design, build, and maintain scalable ETL/ELT pipelines to ingest, transform, and deliver data from diverse sources into Google BigQuery and other cloud data platforms
Develop, document, and maintain curated business-ready metrics for advanced analytics AI/ML models, dashboards, and other consumers
Design and manage a curated data layer translating raw data into consistent, business-friendly metrics and definitions
Design, build, and manage business-friendly dashboards providing insights to executive leadership
Implement and maintain a data catalog or knowledge catalog to improve data discoverability, lineage tracking, and metadata management
Optimize BigQuery performance through partitioning, clustering, query tuning, and cost-management practices
Build data quality checks, monitoring, and alerting to ensure pipeline reliability and data trustworthiness
Collaborate with analytics, product, and business teams to gather requirements and translate them into scalable data models and metrics
Enforce data governance, security, and access-control standards, including PII handling, role-based access, and encryption
Write clean, well-tested, maintainable Python and SQL code and backend frameworks for API-based ingestion
Create and maintain CI/CD pipelines for seamless deployments and code reviews
Participate in code reviews, architecture discussions, and CI/CD pipeline development

Requirements

What you’ll need

Bachelor's degree in computer science, Engineering, Information Systems, or a related field or Foreign equivalency degree, or equivalent combination of relevant education and experience
5+ years of experience in data engineering, software engineering, or a full-stack data role
3+ years demonstrating strong programming skills in Python, SQL, BigQuery, and Dataflow
3 years of hands-on experience with Google BigQuery and Dataform, including data modeling, query optimization, cost management, and scheduled queries
3 years of practical experience building and maintaining a data mart to standardize business metrics
2+ years using business intelligence tools such as Looker, Power BI, Tableau, or custom apps built using Dash
2+ years designing and building ingestion routines based on REST APIs
2+ years in roles requiring strong understanding of testing, monitoring, reliability, and maintainable software design
Experience using AI to build or maintain code/pipelines
Experience with data catalog or metadata management tools, such as Google Data Catalog, including lineage, tagging, and governance workflows
Experience with cloud platforms, preferably Google Cloud Platform, including Cloud Storage, Cloud Functions, Dataflow, Pub/Sub, and Composer/Airflow
Solid understanding of data modeling concepts, including dimensional modeling, star/snowflake schemas, and normalization
Familiarity with Git and CI/CD practices
Strong understanding of data governance, security, and privacy best practices
Experience with Apache Airflow or Cloud Composer
Candidates must be legally authorized to work in the United States
Master's degree in Computer Science, Engineering, Information Systems, or a related field is an additional preferred qualification

Benefits

Comp & perks

Immediate medical, dental, vision and prescription drug coverage
Flexible family care days
Paid parental leave
New parent ramp-up programs
Subsidized back-up child care
Family building benefits including adoption and surrogacy expense reimbursement and fertility treatments
Vehicle discount program for employees and family members
Management leases
Tuition assistance
Established and active employee resource groups
Paid time off for individual and team community service
Generous schedule of paid holidays, including the week between Christmas and New Year’s Day
Paid time off
Option to purchase additional vacation time
Visa sponsorship is available