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Data Engineer Sponsorship Jobs in Oregon (NOW HIRING)

Data Governance- Manager

Portland, OR ยท On-site

$99K - $232K/yr

... Data Engineer / Azure Solutions Architect - Google Professional Data Engineer - DAMA CDMP ... or in the future, PwC sponsorship through the H-1B lottery, except as set forth within the ...

You will work with an AI Data Engineer (data ingestion, curation, governance, platform foundations ... Must be legally authorized to work in the United states without the need for employer sponsorship ...

Work you'll do As an AWS AI&Data FDE, you will work side by side with senior functional and ... Limited immigration sponsorship may be available Preferred qualifications * Experience with cloud ...

AZ, FL, GA, NJ, PA, TN, TX, UT, ID, MI, MO and WI THERE IS NO VISA SPONSORSHIP FOR THIS ROLE Role ... Lead, coach, and develop a team of data engineers while establishing high standards for technical ...

In this role at PwC, you will apply data, algorithms, and software engineering to build and deploy ... or in the future, PwC sponsorship through the H-1B lottery, except as set forth within the ...

Sr. Data Analyst - Finance

OR ยท On-site +1

$120K - $130K/yr

You will collaborate with Data Engineering on data pipelines, identifying and solving complex data ... Eligible for sponsorship: No * This position is contingent upon satisfactory completion of a more ...

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Data Engineer Sponsorship information

What is a data engineer sponsorship?

A Data Engineer Sponsorship refers to a job opportunity where an employer is willing to sponsor a work visa for a data engineering candidate, often for international professionals seeking to work in a new country. Data engineers in these roles design, build, and maintain data systems, pipelines, and architectures that enable companies to store, process, and analyze large volumes of data. Sponsorship can include assistance with visa applications, legal paperwork, and sometimes relocation support. These positions are common in countries with high demand for tech talent, such as the United States, United Kingdom, and Canada. Employers seek skilled data engineers who are proficient in programming, data warehousing, and big data technologies.

How does a data engineer working in a sponsorship-focused role typically collaborate with marketing and business development teams?

Data Engineers in sponsorship-driven environments often work closely with marketing and business development teams to design and maintain data pipelines that track sponsorship performance and audience engagement. This collaboration involves translating business requirements into technical solutions, ensuring data quality, and providing insights that help optimize sponsorship strategies. You can expect to participate in cross-functional meetings, support campaign analytics, and contribute to dashboards and reports that inform decision-making. Effective communication and a strong understanding of both data infrastructure and business goals are crucial for success in this role.

What are the key skills and qualifications needed to thrive as a data engineer, and why are they important?

To thrive as a Data Engineer, you need a solid background in computer science, proficiency in programming languages like Python or Java, and expertise in database management, often supported by a degree in a related field. Experience with big data tools (e.g., Hadoop, Spark), cloud platforms (e.g., AWS, Azure), and relevant certifications like Google Cloud Professional Data Engineer are highly valued. Strong problem-solving abilities, attention to detail, and effective communication skills help Data Engineers excel in collaborating with cross-functional teams. These skills and qualifications are crucial for building robust data pipelines, ensuring data quality, and enabling data-driven decision-making in organizations.

What is the difference between Data Engineer Sponsorship vs Data Scientist Sponsorship?

AspectData Engineer SponsorshipData Scientist Sponsorship
Required CredentialsBachelor's or higher in CS, Engineering, or related fields; certifications like AWS, GCP, or AzureBachelor's or higher in CS, Statistics, or related fields; certifications in data analysis or machine learning
Work EnvironmentData pipelines, ETL processes, cloud platformsStatistical analysis, model development, data visualization
Employer & Industry UsageTech companies, finance, healthcare, retailResearch institutions, tech firms, consulting

Both roles often require similar educational backgrounds and certifications, and they frequently work within the same industries. The main difference lies in their focus: Data Engineers build and maintain data infrastructure, while Data Scientists analyze data to generate insights. Sponsorship opportunities are common for both roles, especially for international candidates seeking work visas.

What job categories do people searching Data Engineer Sponsorship jobs in Oregon look for?

The top searched job categories for Data Engineer Sponsorship jobs in Oregon are:

What cities in Oregon are hiring for Data Engineer Sponsorship jobs?

Cities in Oregon with the most Data Engineer Sponsorship job openings:

Senior Data Engineer

Beaverton, OR โ€ข On-site

BizTek People, Inc. | APA International Placement Consultants
Recruiting and Staffing Servicesย โ€ขย 51 - 200 employees

$111K - $151K/yr

Contractor

Re-posted yesterday


Job description


JOB DESCRIPTION
Our client is seeking a skilled Senior Data Engineer for a 12-Month contract opportunity. This position is 100% remote and offers a competitive hourly pay rate, and candidates must have the legal right to work in the US without sponsorship. Interested? Details below:
  • Develops, codes/configures,and tests programs and systems, typically within the parameters of two tothree sprints. Shares knowledge effectively with the work team.
  • Builds productive networkswith technical colleagues, participating in technical forums and usergroups.
  • Demonstrates a strong workingunderstanding of production systems, with the ability to troubleshoot andresolve many problems on assigned systems with minimal support.

Requirements
Top 3 Skills
  • Data Engineering
  • Python
  • Big Data experience

BizTek People is committed to employing a diverse workforce. Qualified applicants will receive consideration without regard to race, color, religion, sex, national origin, age, sexual orientation, gender identity, gender expression, veteran status, or disability.