Data Engineer Jobs

We are seeking experienced Data Engineering professionals to add to our product teams to drive the next generation of Commercial Business. DS Cloud Data Engineers work in a Product Management Delivery model working end-to-end with business partners, analytics managers, product owners, product designers, data scientists, business intelligence engineers, and software developers to deliver analytics innovation.

This is an exciting and fast-paced role, which requires exceptional technical data and Data Engineering skills with the opportunity to create huge impact to Ford Pro Commercial business.

Pro 360 Data Platforms & Engineering Product Line: Leads design and product teams with create the operational core data capability for Ford Pro Tech. Includes ETL processes, multi-tier data model designs and implementations, data quality strategy & monitoring, plus domain expertise of data sets in the environment, third-party data evaluations, data quality, creating intelligence layers for ease of use.

You'll have...

• 3+ years of experience with SQL and Python.
• Comfortable with a broad array of relational and non-relational databases.
• 5+ years in a traditional data warehouse environment (ETL pipelines with Informatica) will be considered.
• 3+ years of experience building out data pipelines from scratch in a highly distributed and fault-tolerant manner.
• 2+ years of experience with GCP or AWS cloud services.
• Proven track record of building applications in a data-focused role (Cloud and Traditional Data Warehouse).
• Bachelors Degree.

Even better, you may have...

• M.S. in a science-based program and/or quantitative discipline with a technical emphasis.
• 1+ year experience with Hive, Spark, Scala, JavaScript.
• Experience with GCP cloud services including BigQuery, Cloud Composer, Dataflow, CloudSQL, GCS, Cloud Functions and Pub/Sub.
• Familiarity with big data and machine learning tools and platforms. Comfortable with open source technologies including Apache Spark, Hadoop, Kafka.
• Comfortable working in a dynamic environment where problems are not always well-defined.
• Inquisitive, proactive, and interested in learning new tools and techniques.
• Strong oral, written and interpersonal communication skills.

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!

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:

For a detailed look at our benefits, click here:

https://clicktime.symantec.com/15tStcTSmHAgHks7BszyN?h=kA-XrxhBCrgX46-x0pzjDlX0OSK6IUQX2L3G9bBFwww=&u=https://fordcareers.co/GSR-HTHD

Visa sponsorship is not available for this position.
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.

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.

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In this position...

• Develop EL/ELT/ETL pipelines to make data available in BigQuery analytical data store from disparate batch, streaming data sources for the Business Intelligence and Analytics teams.
• Work with on-prem data sources (Hadoop, SQL Server), understand the data model, business rules behind the data and build data pipelines (with GCP, Informatica) for one or more Ford Pro verticals. This data will be landed in GCP BigQuery.
• Build cloud-native services and APIs to support and expose data-driven solutions.

What you'll do...

• Building out scalable data pipelines and choosing the right tools for the right job. Manage, optimize and Monitor data pipelines.
• Provide extensive technical, strategic advice and guidance to key stakeholders around data transformation efforts. Understand how data is useful to the enterprise.
• Partner closely with our data scientists to ensure the right data is made available in a timely manner to deliver compelling and insightful solutions.
• Design, build and launch shared data services to be leveraged by the internal and external partner developer community.