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Data Engineer

Remote:

Full Remote

Contract:

Full time

Experience:

Mid-level (2-5 years)

Work from:

United States

Offer summary

Qualifications:

Bachelor’s degree in Computer Science, Engineering or related field, 3+ years of experience in data warehousing, Google Cloud Platform, and Python.

Key responsabilities:

Collaborate with tech and external partners to build data solutions aligning with business goals.
Design and implement data pipelines for real-time analytics and support scalable growth

Ford Motor Company XLarge https://corporate.ford.com/

10001 Employees

See more Ford Motor Company offers

Job description

Your missions

Job Description

The Data Engineer will be a critical part of our team, focusing on developing, implementing, and optimizing cloud data storage solutions. You will collaborate with various teams and external partners to ensure the delivery of high-quality data solutions that align with Ford's business objectives. This role requires a blend of technical expertise, collaboration, and innovation to support near real-time analytics, build data products, and ensure data quality and availability. **

Responsibilities**

Collaborate with the Manufacturing & Quality Analytics Team, IT, Data Tech, and external solution partners to develop and deliver the Data Factory.
Contribute to data standards, interoperability, quality, and availability to support GDI&A goals.
Design and implement data engineering and streaming solutions for real-time analytics.
Build analytical model objects and data products to support scalable growth and accelerate business value delivery.
Develop data pipelines for cloud solutions, focusing on IIOT & Quality projects.
Master various data sources and contribute to the creation of the Data Discovery Hub.
Perform ETL activities and assist with customer inquiries and incident resolution.
Lead integration projects and liaise with business customers on status updates.
Optimize code design within/across teams for improved performance.

Qualifications

Minimum Requirements:

Bachelor’s degree in Computer Science, Computer Engineering, Analytics, or a related field.
3+ years of experience with data warehousing.
3+ years of experience with Google Cloud Platform, RDBMS, SQL, Hadoop Ecosystem.
2+ years of experience with Python, Apache Spark.
2+ years of experience in tuning and query optimization.

Preferred Requirements:

Master's degree in Computer Science, Computer Engineering, Analytics, or a related field.
Experience with GCP tools (Big Query, Cloud Storage, PubSub, DataFlow, etc.).
Experience with Alteryx, Tableau, Looker.
Excellent critical thinking, proactive decision-making, and communication skills.
Experience in coordinating data landing activities.
Strong collaboration and team leadership abilities.
Knowledge of machine learning concepts and models.
Eagerness to learn new skills and technologies.

As part of the Ford family, you’ll enjoy excellent compensation and a comprehensive benefits package that includes generous PTO, retirement, savings, and stock investment plans, incentive compensation, and much more. You’ll also experience exciting opportunities for professional and personal growth and recognition.

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. Visa sponsorship is available for this position.

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.

For information on Ford's salary and benefits, please visit: https://corporate.ford.com/content/dam/corporate/us/en-us/documents/careers/2024-benefits-and-comp-GSR-sal-plan-2.pdf