Technical Solutions Engineer Visa Sponsorship Jobs in New York
Technical solutions engineer roles in New York are concentrated across Manhattan's finance and enterprise software sectors, with major employers like Salesforce, Google, IBM, and a dense ecosystem of fintech and SaaS companies sponsoring international talent. New York City's enterprise tech market makes it one of the most active states for H-1B visa sponsorship in this role.
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Get Access To All JobsSolutions Engineer
At Databricks, our core values drive everything we do; a culture of proactiveness and a customer-first mindset fuels our mission to create a unified platform that makes data science and analytics accessible to all. This role is part of our programmatic effort to develop promising field engineers—offering a launchpad for the next generation of data leaders. We aim to build leaders who will empower our customers to make informed decisions that propel their businesses forward. With our Data Intelligence Platform, we make it easy to turn insights into action while encouraging creativity, experimentation, and continuous improvement. You’ll play a key role in this mission, building upon your emerging technical skills in the area of solutions engineering, learn how to apply them in the Databricks platform and show customers how to tackle real-world data challenges. Not just telling them what's possible, but building working prototypes and demos that prove it. You’ll join a collaborative, customer-obsessed team that thrives on innovation to help customers reach their goals. Come help us change how the world works with data—and shape your future while you're at it!
This will be an in-office role and candidates must be based in our New York City (Midtown location) office. Relocation assistance will not be provided.
The impact you will have:
- Form successful relationships with customers throughout your assigned territory, providing technical and business value to Databricks customers in collaboration with Account Executives.
- Operate as an expert in big data analytics to excite customers about Databricks. You will develop into a ‘champion’ and trusted advisor on multiple areas of architecture, design, and implementation to lead to the successful adoption of the Databricks Lakehouse platform.
- Adopt a builder-first approach: move quickly from customer problem to working prototype by writing code, building demos, and creating reusable assets that accelerate customer outcomes. Use AI tools to increase your productivity and drive innovation.
- Scale best practices in your field and support customers by authoring reference architectures, how-tos, demo applications, and help build the Databricks community in your region by leading workshops, seminars, and meet-ups.
- Grow your knowledge and expertise to the level of a technical and/or industry specialist.
What we look for:
- The ideal candidate has 2+ years of technical experience in a customer-facing solutions engineering role.
- Bachelor's degree in Computer Science, Data Science, Information Systems, Engineering, or equivalent experience through work experience.
- Demonstrates a builder mindset: preference for hands-on prototyping and learning-by-doing, with comfort using AI-assisted development tools to move faster.
- Hands-on experience with Python, Java, or Scala, and proficiency in SQL. Experience with Big Data technologies (Ex: Spark, Hadoop, Kafka) and architectures is a plus.
- Aptitude to interact with customers confidently and professionally.
- Can meet expectations for technical training and role-specific outcomes within 6 months of hire.
Pay Range Transparency
Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected base salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipated utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above.
Zone 1 Pay Range
$121,400—$167,000 USD
Zone 2 Pay Range
$121,400—$167,000 USD
Zone 3 Pay Range
$121,400—$167,000 USD
Zone 4 Pay Range
$121,400—$167,000 USD
About Databricks
Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook.
Benefits
At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees.
Our Commitment to Diversity and Inclusion
At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.
Compliance
If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.
Solutions Engineer
At Databricks, our core values drive everything we do; a culture of proactiveness and a customer-first mindset fuels our mission to create a unified platform that makes data science and analytics accessible to all. This role is part of our programmatic effort to develop promising field engineers—offering a launchpad for the next generation of data leaders. We aim to build leaders who will empower our customers to make informed decisions that propel their businesses forward. With our Data Intelligence Platform, we make it easy to turn insights into action while encouraging creativity, experimentation, and continuous improvement. You’ll play a key role in this mission, building upon your emerging technical skills in the area of solutions engineering, learn how to apply them in the Databricks platform and show customers how to tackle real-world data challenges. Not just telling them what's possible, but building working prototypes and demos that prove it. You’ll join a collaborative, customer-obsessed team that thrives on innovation to help customers reach their goals. Come help us change how the world works with data—and shape your future while you're at it!
This will be an in-office role and candidates must be based in our New York City (Midtown location) office. Relocation assistance will not be provided.
The impact you will have:
- Form successful relationships with customers throughout your assigned territory, providing technical and business value to Databricks customers in collaboration with Account Executives.
- Operate as an expert in big data analytics to excite customers about Databricks. You will develop into a ‘champion’ and trusted advisor on multiple areas of architecture, design, and implementation to lead to the successful adoption of the Databricks Lakehouse platform.
- Adopt a builder-first approach: move quickly from customer problem to working prototype by writing code, building demos, and creating reusable assets that accelerate customer outcomes. Use AI tools to increase your productivity and drive innovation.
- Scale best practices in your field and support customers by authoring reference architectures, how-tos, demo applications, and help build the Databricks community in your region by leading workshops, seminars, and meet-ups.
- Grow your knowledge and expertise to the level of a technical and/or industry specialist.
What we look for:
- The ideal candidate has 2+ years of technical experience in a customer-facing solutions engineering role.
- Bachelor's degree in Computer Science, Data Science, Information Systems, Engineering, or equivalent experience through work experience.
- Demonstrates a builder mindset: preference for hands-on prototyping and learning-by-doing, with comfort using AI-assisted development tools to move faster.
- Hands-on experience with Python, Java, or Scala, and proficiency in SQL. Experience with Big Data technologies (Ex: Spark, Hadoop, Kafka) and architectures is a plus.
- Aptitude to interact with customers confidently and professionally.
- Can meet expectations for technical training and role-specific outcomes within 6 months of hire.
Pay Range Transparency
Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected base salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipated utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above.
Zone 1 Pay Range
$121,400—$167,000 USD
Zone 2 Pay Range
$121,400—$167,000 USD
Zone 3 Pay Range
$121,400—$167,000 USD
Zone 4 Pay Range
$121,400—$167,000 USD
About Databricks
Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook.
Benefits
At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees.
Our Commitment to Diversity and Inclusion
At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.
Compliance
If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.
Technical Solutions Engineer Job Roles in New York
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Search Technical Solutions Engineer Jobs in New YorkTechnical Solutions Engineer Jobs in New York: Frequently Asked Questions
Which companies sponsor visas for technical solutions engineers in New York?
Large enterprise technology companies with significant New York presences, including Salesforce, Google, IBM, Oracle, and Datadog, have consistent H-1B sponsorship histories for technical solutions engineer roles. Financial services firms with in-house technology divisions, such as JPMorgan Chase and Bloomberg, also sponsor this role. Sponsorship patterns vary by company size and hiring cycle, so checking employer-specific LCA filings on the DOL disclosure database is the most reliable way to verify a company's history.
Which visa types are most common for technical solutions engineer roles in New York?
The H-1B is the most common visa for technical solutions engineers in New York, as the role typically qualifies as a specialty occupation requiring a bachelor's degree or higher in computer science, engineering, or a related field. Candidates already in the U.S. on F-1 OPT or STEM OPT can work before H-1B sponsorship is secured. L-1B visas apply when an employee transfers from an overseas office of the same company in a specialized knowledge capacity.
How to find technical solutions engineer visa sponsorship jobs in New York?
Migrate Mate filters job listings specifically by visa sponsorship availability, making it straightforward to browse technical solutions engineer openings in New York without sorting through roles that won't support international candidates. Because sponsorship willingness is not always stated in standard job postings, using a platform built around sponsorship data saves significant time. Migrate Mate's New York listings cover both enterprise software companies in Manhattan and the broader metro area's growing SaaS and cloud sectors.
Which cities in New York have the most technical solutions engineer sponsorship jobs?
New York City, and Manhattan in particular, accounts for the overwhelming majority of technical solutions engineer sponsorship jobs in the state. The Midtown and downtown Manhattan corridors host dense concentrations of enterprise software vendors, financial technology firms, and cloud infrastructure companies that hire for this role. Buffalo and Albany have smaller but emerging tech sectors, though sponsorship activity in those cities is considerably lower than in New York City.
Are there any New York-specific considerations for technical solutions engineers seeking visa sponsorship?
New York's high cost of living directly affects the prevailing wage calculations that employers must meet when filing a Labor Condition Application for H-1B sponsorship. The Department of Labor sets prevailing wages by metropolitan area, so New York City LCA wages are among the highest in the country for this role. Additionally, several major universities in the state, including Cornell Tech on Roosevelt Island and Columbia University, supply engineering graduates who compete for the same sponsorship opportunities, making early applications and niche technical specializations important differentiators.
What is the prevailing wage for sponsored technical solutions engineer jobs in New York?
U.S. employers sponsoring a visa must pay at least the prevailing wage, which is what workers in the same role, area, and experience level typically earn. The Department of Labor sets this rate to make sure companies aren't hiring foreign workers simply because they'd accept lower pay than a U.S. worker. It varies by job title, location, and experience. You can look up current prevailing wage rates for any occupation and location using the OFLC Wage Search page.