Data Engineer Visa Sponsorship Available

Design
Us
April 13, 2024
Full Time
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Job Description

 

JOB DESCRIPTION

 

We are the world’s movers and shakers, shaping the future. Every day we get up, roll up our sleeves, and work together to make the world a better place. At Ford, we are all part of something larger than ourselves. Are you ready to transform the way the world operates?

Product Development employs design thinking and user experience techniques to create innovative products and services that please our customers. We bring new, intriguing, and sustainable ideas to life. We have possibilities for you to help progress autonomy, electrification, smart mobility technology, and other fields all across the world!

This is a hybrid role, and we prefer individuals that can work from our Dearborn, Michigan location.

 

You will have…

 

  • Bachelor’s degree in a technical field. Computer Science, Data Science, Computational Finance, Statistics, Economics, or Mathematics: Masters Preferred
  • 5+ years of expertise developing and delivering data solutions, pipelines, marts, and/or warehouses using agile development methodologies.
  • The ability to suggest, test, and implement solutions requires critical thinking abilities.
  • 2+ years of experience in a Data Engineering Competency on a public cloud (Google, Microsoft Azure, AWS)
  • 2+ years of integration and configuration scripting with Tekton and Terraform
  • 3+ years of expertise writing sophisticated SQL.
  • 3+ years of expertise developing data solutions in Python, Java, Scala, or Go.
  • Comprehensive knowledge of data service ecosystems, including data warehouses, lakes, metadata, meshes, fabrics, and analytical use cases.
  • User experience advocacy through sympathetic stakeholder relationships.
  • Excellent verbal and written communication skills for internal and external team members.
  • Excellent documentation abilities for technical specs, client needs, and github repository documentation.

 

Even better, you might have…

  • 2+ years Extensive expertise and understanding of GCP offers, bundled services, notably those related to data operations Cloud Console, BigQuery, Data Flow, Data Fusion, PubSub / Kafka, Looker Studio, and VertexAI.
  • Experience using Teradata, Hadoop, Hive, Spark, and other on-premise/legacy data systems.
  • Experience optimising data solutions and data science/analytical workflows: re-coding, re-developing, and refactoring.
  • Data Governance ideas, including GDPR (General Data Protection Regulation), CCPA (California Consumer Protection Act), and PoLP, and how they can effect technical architecture

You may not tick every box, and your expertise may differ slightly from what we’ve provided, but if you believe you can add value to Ford Motor Company, we invite you to apply!

As a well-established global corporation, we provide the benefit of choice. You have the opportunity to shape your Ford future: will your tale take you around the world or keep you close to home? Will your career be a deep dive into your passion, or a series of new teams and skills? Will you be a leader, changemaker, technical specialist, culture builder, or all of the above? Regardless of what you pick, we provide a work environment that works for you, including:

  • Provides immediate medical, dental, and prescription drug coverage.
  • Flexible family care, parental leave, new parent ramp-up programmes, subsidised backup daycare, and more
  • Vehicle discount programme for employees and family members, as well as management leases.
  • Tuition Assistance
  • Existing and active employee resource groups
  • Paid time off for individual and group community service.
  • A generous schedule of paid holidays, including the week between Christmas and New Years Day.
  • Paid time off with the option to purchase more vacation time.

For more information on our perks, visit https://fordcareers.co/GSRnon-HTHD.

This post has a salary range of GSR7 to GSR8.

Visa sponsorship is available for this role.

Candidates for positions at Ford Motor Company must be legally authorised to work in the United States. Employment eligibility must be verified at the time of hire.

We are an Equal Opportunity Employer dedicated to building a culturally diverse workforce. All competent applicants will be considered for employment regardless of race, religion, colour, age, sex, national origin, sexual orientation, gender identity, handicap status, or protected veterans status. In the United States, please call 1-888-336-0660 if you require a reasonable accommodation for the online application procedure due to a disability.

Position Responsibilities:

Design, develop, and implement data engineering solutions using standards, templates, patterns, and best practices on the Google Cloud Platform.

Full stack data engineering solutions that use both structured and unstructured data include development, ingestion, curation, implementation, deployment, automation, and monitoring.

Collaborates with the Data Factory Engineering Organisation, Data Architecture, PEM, GDIA, Information Technology, and Data Consumers to drive data engineering capabilities, product design and proof of concepts, MVPs, to broaden understanding, define technical optimisation, explore configurations, and overcome challenges.

Create high-quality, beautiful data engineering solutions that are cloud-first, encapsulated, repeatable, automated, and auditable.

Build, test, maintain, and troubleshoot data solutions both alone and as part of a team.

Continuously integrates and deploys data solutions with CI/CD.

Use Test Driven Development and Code Pairing Practices

Create and maintain detailed documentation for data engineering processes, systems, and pipelines to ensure clarity, transparency, and client needs.

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