Data Engineer Jobs at Google with Visa Sponsorship
Data Engineer jobs at Google sit at the intersection of large-scale infrastructure and product impact, spanning pipelines, warehousing, and real-time data systems. Google has a well-established sponsorship process for this function, supporting H-1B visa, H-1B1 visa, and E-3 visa candidates through structured legal and recruiting teams.
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INTRODUCTION
Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Fort Wayne, IN, USA; Council Bluffs, IA, USA; Papillion, NE, USA; Omaha, NE, USA; Columbus, OH, USA; New Albany, OH, USA; Kansas City, MO, USA.
ABOUT THE JOB
Our thirst for technology is a part of everything we do. The Data Center Engineering team takes the physical design of our data centers into the future. Our lab mirrors a research and development department -- cutting-edge strategies are born, tested and tested again. Along with a team of great minds, you take on complex topics like how we use power or how to run state-of-the-art, environmentally-friendly facilities. You're a visionary who optimizes for efficiencies and never stops seeking improvements -- even small changes that can make a huge impact. You generate ideas, communicate recommendations to senior-level executives and drive implementation alongside facilities technicians. With your technical expertise, you ensure compliance with codes and standards, develop infrastructure improvements and serve as an expert in your specialty (e.g., cooling, electrical). Google is looking for a Controls or Systems Engineer with a mastery of Building Management Systems (BMS), Electrical Power Monitoring System (EPMS) and Industrial Control Systems (ICS) to execute and deliver the supply of third-party data center projects. As the primary on-site technical authority for automation, you will ensure that the "brains" of the facility—the integration of mechanical, electrical, and cooling systems—are installed and networked to perfection. You will serve as the Lead Technical Point of Contact (POC) for all BMS, EPMS, and PLC-related engineering questions during the construction phase, ensuring that the physical installation of sensors, controllers, and network architecture aligns with the logical design intent, enabling seamless system communication and operational visibility. Behind everything our users see online is the architecture built by the Technical Infrastructure team to keep it running. From developing and maintaining our data centers to building the next generation of Google platforms, we make Google's product portfolio possible. We're proud to be our engineers' engineers and love voiding warranties by taking things apart so we can rebuild them. We keep our networks up and running, ensuring our users have the best and fastest experience possible.
ROLE AND RESPONSIBILITIES
Minimum qualifications:
Bachelor's degree in Electrical Engineering, Mechanical Engineering, or a related technical field.
5 years of experience as a program manager or technical program manager.
5 years of experience in controls engineering, automation, or systems integration within industrial or mission-critical environments.
5 years of experience in BMS/EPMS architectures, including DDC, PLC, virtual machines, and SCADA systems and with communication protocols including BACnet, Modbus, and SNMP.
* Ability to travel 50% of the time to provide on-site support across various project locations.
Preferred qualifications:
Understanding of electrical and mechanical systems to facilitate effective cross-discipline collaboration.
Ability to trace a failure from a software dashboard back to a physical wiring or sensor issue in the field.
Ability to translate complex automation logic into clear instructions for field technicians and electrical contractors.
Ability to focus on "point-to-point" accuracy to ensure 100% data integrity for the facility’s monitoring systems.
* Excellent verbal and written communication skills with the ability to navigate a complex matrix organization.
COMPENSATION
Individual pay is determined by factors including job-related skills, experience, and relevant education or training. US: $144000 - $208000 (USD) + 15% bonus target + equity + benefits
Responsibilities
Provide design development oversight and ensure owner’s requirements are met, act as the definitive resource for integrators and contractors to resolve ambiguities in sequence of operations (SOO), IOLs, and network topology diagrams.
Perform periodic site walk-throughs to verify the physical installation, ensuring correct placement for accurate readings.
Identify and resolve discrepancies between design intent and field conditions to prevent commissioning delays, ensuring hardware matches programmed logic.
Ensure all installations meet local electrical codes, cybersecurity hardening standards, Google standards, and project-specific automation requirements.
* Collaborate with Cross Functional Teams for resolution of sequence issues, controls intent and changes to the SOO during the construction process.
Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.
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Get Access To All JobsTips for Finding Data Engineer Jobs at Google
Tailor your portfolio to Google's stack
Google's Data Engineer roles lean heavily on BigQuery, Dataflow, and Pub/Sub. Showcasing hands-on experience with these tools, or their open-source equivalents like Apache Beam, signals immediate fit and reduces friction in technical screening.
Target teams hiring across multiple visa types
Google sponsors H-1B, H-1B1 visa, and E-3 visas for Data Engineers. If you're Australian or a Singapore or Chilean national, clarifying your visa category early helps recruiters route your application to the right legal workflow from the start.
Align your application to Google's leveling system
Google evaluates Data Engineers against internal levels (L3 to L6+). Applying at the right level matters for sponsorship, since more senior roles often move through offer and filing stages faster due to established headcount and legal budget.
Prepare your credentials before recruiter conversations
Have your degree transcripts, any relevant certifications, and a clear employment history ready before your first recruiter call. Google's legal team needs this documentation early in the H-1B or E-3 petition process, and gaps cause delays.
Understand the H-1B cap timing relative to your start date
If you need a new H-1B, USCIS registration opens in March for an October 1 start. Plan your Google interview process so an offer lands before the registration window, giving your sponsor enough runway to file on your behalf.
Use Migrate Mate to surface open Data Engineer roles at Google
Data Engineer openings at Google move quickly and aren't always easy to filter by sponsorship type. Use Migrate Mate to browse current listings at Google filtered by visa category, so you're applying to roles where sponsorship is already confirmed.
Frequently Asked Questions
Does Google sponsor H-1B visas for Data Engineers?
Yes, Google sponsors H-1B visas for Data Engineer roles. Google has dedicated immigration legal teams that manage the petition process from Labor Condition Application filing with the DOL through USCIS adjudication. If you need H-1B sponsorship, you'll want to confirm the specific role is eligible during your recruiter screening call, as sponsorship decisions are made at the team level.
How do I apply for Data Engineer jobs at Google?
Applications go through Google's careers portal, where you can filter by job function and location. For the strongest chance of being seen, tailor your resume to highlight experience with distributed data systems and Google Cloud tooling. You can also browse current Data Engineer openings at Google filtered by visa sponsorship type on Migrate Mate, which surfaces roles where sponsorship has been confirmed.
Which visa types does Google commonly sponsor for Data Engineer roles?
Google sponsors H-1B, H-1B1 visa, and E-3 visas for Data Engineer positions. H-1B is the most common pathway for most nationalities. H-1B1 applies to nationals of Singapore and Chile, and E-3 applies exclusively to Australian citizens. Each visa type has different filing mechanics and timelines, so clarifying your category early in the recruiting process helps Google's legal team plan accordingly.
What qualifications does Google expect for sponsored Data Engineer roles?
Google's Data Engineer roles typically require a bachelor's degree or higher in computer science, engineering, or a related field, which also satisfies the specialty occupation requirement for H-1B and E-3 petitions. Beyond credentials, Google's technical bar emphasizes hands-on experience with large-scale data pipelines, SQL and distributed systems, and familiarity with cloud-native tooling. Passing the technical interview loop is the main filter, not just degree level.
How do I navigate the timeline between offer and visa filing at Google?
After an offer is accepted, Google's immigration team initiates the visa petition process, which typically starts with the employer filing a Labor Condition Application with the DOL. For H-1B transfers from another sponsoring employer, you can start work as soon as USCIS receives the petition. For new H-1B cap cases, the October 1 start date is fixed, so build at least six months of runway into your job search timeline.