Omada Health Visa Sponsorship Jobs USA
Omada Health is a digital health company focused on chronic disease prevention, offering a mission-driven environment that attracts global talent. The company has sponsored permanent residency pathways for skilled professionals, making it a consideration for international candidates pursuing long-term careers in health technology.
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Get Access To All JobsOmada Health is on a mission to inspire and engage people in lifelong health, one step at a time.
Job overview: We are dedicated to leveraging data to drive strategic decision-making and operational efficiency. Our team is passionate about harnessing the power of data to solve complex problems and deliver impactful insights.
We are seeking a highly skilled and motivated Data Engineer to join our team. The ideal candidate will be responsible for designing, building, and maintaining robust data architectures and engineering data models and pipelines. This role will play a critical part in ensuring the integrity, scalability, and performance of our data processing and products.
Key Responsibilities:
- Data Architecture: Design, develop, and implement scalable, secure, and efficient data solutions that meet the needs of the organization.
- Data Modeling: Create and maintain logical and physical data models to support business intelligence, analytics, and reporting requirements.
- Pipeline Engineering: Design, build, and optimize ETL (Extract, Transform, Load) processes and data pipelines to ensure smooth and efficient data flow from various sources.
- Data Integration: Integrate diverse data sources, including APIs, databases, and third-party data, into a unified data platform.
- Performance Optimization: Monitor and optimize the performance of data systems and pipelines to ensure low latency and high throughput.
- Data Quality and Governance: Implement data quality checks, validation processes, and governance frameworks to ensure the accuracy and reliability of data.
- Collaboration: Partner closely with data scientists, analysts, and other stakeholders to understand data requirements and deliver solutions that meet their needs.
- Documentation: Maintain comprehensive documentation of data architectures, models, and pipelines for ongoing maintenance and knowledge sharing.
- Training: You'll train and collaborate with teammates effectively in data engineering best practices.
- Technical Influence/Leadership: Recommends policy changes and establishes department-wide procedures. Uses extensive experience and knowledge to resolve complex problems.
- Monitor and manage production environment to deliver data within defined SLAs.
How you can make an impact:
- You'll evaluate, benchmark, and improve the scalability, robustness, and performance of our data platform and applications.
- You'll make significant contributions to the architecture and design of our data processing platform.
- You'll implement scalable, fault tolerant, and accurate ETL frameworks.
- You'll gather and process raw data at scale from diverse sources.
- You'll collaborate with product management, data scientists, analysts, and other engineers on technical vision, design, and planning.
- You'll implement and maintain a high level of data quality monitoring in our analytics & ML ecosystem.
- You'll train and collaborate with teammates effectively in data engineering best practices.
- You will be responsible for leading, documenting, and collaborating across teams for technical projects.
You will love this job if you:
- You are passionate about building data-driven systems to enable Data Scientists, Data Analysts, and AI/ML Engineers.
- You want to make a difference to empower digital healthcare through data-driven decision making.
- You would like to learn how to build scalable, performant, and reliable data pipelines.
About you:
Experience
- 5+ years of experience building, maintaining, and orchestrating scalable data pipelines.
- 3+ years of experience as a data engineer developing or maintaining integration with software such as Airflow or any Python-based data pipeline codebase.
- Experience applying a variety of integration patterns for different use cases.
- Experience in backend software development to contribute to distributed computing development and data technologies, with broad experience across systems, contexts, and ideas.
- Experience implementing data pipelines and improving the performance of ETL processes and related SQL queries.
- Experience in data modeling for OLTP and OLAP applications.
- Experience with Cloud platforms such as Amazon AWS.
- Familiarity with workflow management tools (Airflow preferred).
- Familiarity with cloud-based data warehouses (Amazon Redshift preferred).
- Exceptional problem-solving and analytical skills.
- Experience working with sensitive data i.e. PHI / PII & security best practices.
- Familiarity with data governance practices and principles.
Technical Skills
- Proficiency in SQL and experience with relational databases (e.g., MySQL, PostgreSQL).
- Proficiency in Analytical SQL (e.g. Analytics Queries, Distributed database queries) and experience working with massive parallel processing (MPP) databases (e.g., Redshift, BigQuery, Snowflake).
- Proficiency in programming languages such as Python, Java, or Scala.
- Knowledge of data modeling techniques (3NF) and tools (e.g., ER/Studio, ERwin).
- Software Engineering Mindset: Apply best practices to write elegant, maintainable code and understand automated testing concepts.
- Familiarity with business intelligence tools and environments.
- Familiarity with big data technologies (e.g., Lambda, Hadoop, Spark).
- Software engineering mindset and an ability to write elegant, maintainable code while following engineering best practices.
Communication Skills: Excellent communication and collaboration skills, both written and verbal, with the ability to convey complex technical concepts to non-technical stakeholders.
Self-Directed: Leading projects and tasks effectively with cross-functional stakeholders with minimal guidance. You care about writing quality software and recognize that there are often many right answers. Ability to lead tasks and projects effectively.
Education: Bachelor's degree in Computer Science or a similar discipline preferred.
Technologies we use: Ruby on Rails, Redshift, Athena, Postgres, SQL, Python, Apache Airflow, Appflow, S3, SNS, SQS, Kafka, Docker, Kubernetes, AWS infrastructure, Lambda, Serverless, Tableau, Bugsnag, Datadog, GitLabCI.
Bonus Points for:
- Experience with big data technologies such as Hadoop, Spark, or Kafka.
- Experience building internal frameworks or development productivity tools would be a big plus.
- Experience building data infrastructure, frameworks, and automation is a big plus.
- Understanding automated testing concepts and ability to consistently apply those concepts.
Benefits:
- Competitive salary with generous annual cash bonus.
- Equity grants.
- Remote first work from home culture.
- Flexible Time Off to help you rest, recharge, and connect with loved ones.
- Generous parental leave.
- Health, dental, and vision insurance (and above market employer contributions).
- 401k retirement savings plan.
- Lifestyle Spending Account (LSA).
- Mental Health Support Solutions.
- ...and more!
It takes a village to change health care. As we build together toward our mission, we strive to embody the following values in our day-to-day work. We hope these hold meaning for you as well as you consider Omada!
- Cultivate Trust. We listen closely and we operate with kindness. We provide respectful and candid feedback to each other.
- Seek Context. We ask to understand and we build connections. We do our research up front to move faster down the road.
- Act Boldly. We innovate daily to solve problems, improve processes, and find new opportunities for our members and customers.
- Deliver Results. We reward impact above output. We set a high bar, we're not afraid to fail, and we take pride in our work.
- Succeed Together. We prioritize Omada's progress above team or individual. We have fun as we get stuff done, and we celebrate together.
- Remember Why We're Here. We push through the challenges of changing health care because we know the destination is worth it.
About Omada Health: Omada Health (Nasdaq: OMDA) is reverse engineering the way healthcare is delivered in America, putting the space between doctor visits–where health is won or lost–at the center of care. Today's healthcare system poorly serves chronic conditions that require ongoing support outside of the exam room, like obesity, diabetes, hypertension, cholesterol, and musculoskeletal conditions. Omada's virtual-first model combines human-led care teams, connected devices, and AI-enabled technology to deliver personalized care at scale, including support for GLP-1 therapy. Omada has served more than two million members since launch across 2,000+ employers, health plans, pharmacy benefit managers, and health systems.
Omada is thrilled to share that we've been certified as a Great Place to Work!
We carefully hire the best talent we can find, which means actively seeking diversity of beliefs, backgrounds, education, and ways of thinking. We strive to build an inclusive culture where differences are celebrated and leveraged to inform better design and business decisions. Omada is proud to be an equal opportunity workplace and affirmative action employer. We are committed to equal opportunity regardless of race, color, religion, sex, gender identity, national origin, ancestry, citizenship, age, physical or mental disability, legally protected medical condition, family care status, military or veteran status, marital status, domestic partner status, sexual orientation, or any other basis protected by local, state, or federal laws.
Below is a summary of salary ranges for this role in the following geographies:
California, New York State and Washington State Base Compensation Ranges: $179,400 - $224,300, Colorado Base Compensation Ranges: $171,600 - $214,500. Other states may vary.
This role is also eligible for participation in annual cash bonus and equity grants.
- The actual offer, including the compensation package, is determined based on multiple factors, such as the candidate's skills and experience, and other business considerations.
Omada Health is on a mission to inspire and engage people in lifelong health, one step at a time.
Job overview: We are dedicated to leveraging data to drive strategic decision-making and operational efficiency. Our team is passionate about harnessing the power of data to solve complex problems and deliver impactful insights.
We are seeking a highly skilled and motivated Data Engineer to join our team. The ideal candidate will be responsible for designing, building, and maintaining robust data architectures and engineering data models and pipelines. This role will play a critical part in ensuring the integrity, scalability, and performance of our data processing and products.
Key Responsibilities:
- Data Architecture: Design, develop, and implement scalable, secure, and efficient data solutions that meet the needs of the organization.
- Data Modeling: Create and maintain logical and physical data models to support business intelligence, analytics, and reporting requirements.
- Pipeline Engineering: Design, build, and optimize ETL (Extract, Transform, Load) processes and data pipelines to ensure smooth and efficient data flow from various sources.
- Data Integration: Integrate diverse data sources, including APIs, databases, and third-party data, into a unified data platform.
- Performance Optimization: Monitor and optimize the performance of data systems and pipelines to ensure low latency and high throughput.
- Data Quality and Governance: Implement data quality checks, validation processes, and governance frameworks to ensure the accuracy and reliability of data.
- Collaboration: Partner closely with data scientists, analysts, and other stakeholders to understand data requirements and deliver solutions that meet their needs.
- Documentation: Maintain comprehensive documentation of data architectures, models, and pipelines for ongoing maintenance and knowledge sharing.
- Training: You'll train and collaborate with teammates effectively in data engineering best practices.
- Technical Influence/Leadership: Recommends policy changes and establishes department-wide procedures. Uses extensive experience and knowledge to resolve complex problems.
- Monitor and manage production environment to deliver data within defined SLAs.
How you can make an impact:
- You'll evaluate, benchmark, and improve the scalability, robustness, and performance of our data platform and applications.
- You'll make significant contributions to the architecture and design of our data processing platform.
- You'll implement scalable, fault tolerant, and accurate ETL frameworks.
- You'll gather and process raw data at scale from diverse sources.
- You'll collaborate with product management, data scientists, analysts, and other engineers on technical vision, design, and planning.
- You'll implement and maintain a high level of data quality monitoring in our analytics & ML ecosystem.
- You'll train and collaborate with teammates effectively in data engineering best practices.
- You will be responsible for leading, documenting, and collaborating across teams for technical projects.
You will love this job if you:
- You are passionate about building data-driven systems to enable Data Scientists, Data Analysts, and AI/ML Engineers.
- You want to make a difference to empower digital healthcare through data-driven decision making.
- You would like to learn how to build scalable, performant, and reliable data pipelines.
About you:
Experience
- 5+ years of experience building, maintaining, and orchestrating scalable data pipelines.
- 3+ years of experience as a data engineer developing or maintaining integration with software such as Airflow or any Python-based data pipeline codebase.
- Experience applying a variety of integration patterns for different use cases.
- Experience in backend software development to contribute to distributed computing development and data technologies, with broad experience across systems, contexts, and ideas.
- Experience implementing data pipelines and improving the performance of ETL processes and related SQL queries.
- Experience in data modeling for OLTP and OLAP applications.
- Experience with Cloud platforms such as Amazon AWS.
- Familiarity with workflow management tools (Airflow preferred).
- Familiarity with cloud-based data warehouses (Amazon Redshift preferred).
- Exceptional problem-solving and analytical skills.
- Experience working with sensitive data i.e. PHI / PII & security best practices.
- Familiarity with data governance practices and principles.
Technical Skills
- Proficiency in SQL and experience with relational databases (e.g., MySQL, PostgreSQL).
- Proficiency in Analytical SQL (e.g. Analytics Queries, Distributed database queries) and experience working with massive parallel processing (MPP) databases (e.g., Redshift, BigQuery, Snowflake).
- Proficiency in programming languages such as Python, Java, or Scala.
- Knowledge of data modeling techniques (3NF) and tools (e.g., ER/Studio, ERwin).
- Software Engineering Mindset: Apply best practices to write elegant, maintainable code and understand automated testing concepts.
- Familiarity with business intelligence tools and environments.
- Familiarity with big data technologies (e.g., Lambda, Hadoop, Spark).
- Software engineering mindset and an ability to write elegant, maintainable code while following engineering best practices.
Communication Skills: Excellent communication and collaboration skills, both written and verbal, with the ability to convey complex technical concepts to non-technical stakeholders.
Self-Directed: Leading projects and tasks effectively with cross-functional stakeholders with minimal guidance. You care about writing quality software and recognize that there are often many right answers. Ability to lead tasks and projects effectively.
Education: Bachelor's degree in Computer Science or a similar discipline preferred.
Technologies we use: Ruby on Rails, Redshift, Athena, Postgres, SQL, Python, Apache Airflow, Appflow, S3, SNS, SQS, Kafka, Docker, Kubernetes, AWS infrastructure, Lambda, Serverless, Tableau, Bugsnag, Datadog, GitLabCI.
Bonus Points for:
- Experience with big data technologies such as Hadoop, Spark, or Kafka.
- Experience building internal frameworks or development productivity tools would be a big plus.
- Experience building data infrastructure, frameworks, and automation is a big plus.
- Understanding automated testing concepts and ability to consistently apply those concepts.
Benefits:
- Competitive salary with generous annual cash bonus.
- Equity grants.
- Remote first work from home culture.
- Flexible Time Off to help you rest, recharge, and connect with loved ones.
- Generous parental leave.
- Health, dental, and vision insurance (and above market employer contributions).
- 401k retirement savings plan.
- Lifestyle Spending Account (LSA).
- Mental Health Support Solutions.
- ...and more!
It takes a village to change health care. As we build together toward our mission, we strive to embody the following values in our day-to-day work. We hope these hold meaning for you as well as you consider Omada!
- Cultivate Trust. We listen closely and we operate with kindness. We provide respectful and candid feedback to each other.
- Seek Context. We ask to understand and we build connections. We do our research up front to move faster down the road.
- Act Boldly. We innovate daily to solve problems, improve processes, and find new opportunities for our members and customers.
- Deliver Results. We reward impact above output. We set a high bar, we're not afraid to fail, and we take pride in our work.
- Succeed Together. We prioritize Omada's progress above team or individual. We have fun as we get stuff done, and we celebrate together.
- Remember Why We're Here. We push through the challenges of changing health care because we know the destination is worth it.
About Omada Health: Omada Health (Nasdaq: OMDA) is reverse engineering the way healthcare is delivered in America, putting the space between doctor visits–where health is won or lost–at the center of care. Today's healthcare system poorly serves chronic conditions that require ongoing support outside of the exam room, like obesity, diabetes, hypertension, cholesterol, and musculoskeletal conditions. Omada's virtual-first model combines human-led care teams, connected devices, and AI-enabled technology to deliver personalized care at scale, including support for GLP-1 therapy. Omada has served more than two million members since launch across 2,000+ employers, health plans, pharmacy benefit managers, and health systems.
Omada is thrilled to share that we've been certified as a Great Place to Work!
We carefully hire the best talent we can find, which means actively seeking diversity of beliefs, backgrounds, education, and ways of thinking. We strive to build an inclusive culture where differences are celebrated and leveraged to inform better design and business decisions. Omada is proud to be an equal opportunity workplace and affirmative action employer. We are committed to equal opportunity regardless of race, color, religion, sex, gender identity, national origin, ancestry, citizenship, age, physical or mental disability, legally protected medical condition, family care status, military or veteran status, marital status, domestic partner status, sexual orientation, or any other basis protected by local, state, or federal laws.
Below is a summary of salary ranges for this role in the following geographies:
California, New York State and Washington State Base Compensation Ranges: $179,400 - $224,300, Colorado Base Compensation Ranges: $171,600 - $214,500. Other states may vary.
This role is also eligible for participation in annual cash bonus and equity grants.
- The actual offer, including the compensation package, is determined based on multiple factors, such as the candidate's skills and experience, and other business considerations.
Job Roles at Omada Health
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Get Access To All JobsTips for Finding Omada Health Visa Sponsorship Jobs USA
Target roles aligned with Green Card sponsorship
Omada Health's sponsorship activity has focused on permanent residency rather than temporary work visas. Prioritize applying for senior or specialized roles in engineering, data science, or clinical technology where long-term retention, and Green Card sponsorship, is more likely.
Understand the EB-2 and EB-3 pathways before you apply
Omada Health sponsors through employment-based immigrant visa categories. Research the difference between EB-2 and EB-3 before your interview so you can ask informed questions about timelines, PERM labor certification, and what the sponsorship process looks like at the company.
Lead with your specialization in digital health
Omada Health builds software-driven care programs for chronic conditions. Candidates with backgrounds in health informatics, behavioral science, or clinical data systems have a stronger alignment with the company's technical needs, which matters when sponsorship decisions are tied to specialized skill sets.
Ask about sponsorship early but frame it professionally
Because Omada Health sponsors a selective number of candidates, raise sponsorship during the offer stage rather than the first screen. Frame it around your long-term commitment to the role, employers are more willing to sponsor when they see you as a retention investment.
Filter for verified sponsors before applying
Not every health tech company has a consistent sponsorship track record. Migrate Mate surfaces verified sponsors so you can filter by real sponsorship history, helping you focus your applications on companies like Omada Health that have an established pattern of supporting international hires.
Prepare for a longer hiring process given sponsorship complexity
Permanent residency sponsorship involves PERM labor certification, which adds time to the hiring process. Go into applications at Omada Health prepared for a multi-stage process and be ready to demonstrate the specialized qualifications that justify the sponsorship investment from the employer's perspective.
Frequently Asked Questions
Does Omada Health sponsor H-1B visas?
Based on available sponsorship data, Omada Health has not been an active H-1B visa sponsor. Its sponsorship activity has focused on employment-based Green Card pathways rather than temporary work visas. If you currently hold H-1B status through another employer and are exploring a transfer, it is worth discussing directly with Omada Health's recruiting team during the offer stage.
What visa types does Omada Health sponsor?
Omada Health's sponsorship track record is concentrated in permanent residency, specifically through the EB-2 and EB-3 employment-based immigrant visa categories. These pathways are typically reserved for candidates in specialized or professional roles where the company has determined long-term sponsorship is warranted. Candidates should confirm current sponsorship policies directly with the recruiting team, as programs can evolve.
Which departments or roles at Omada Health are most likely to receive visa sponsorship?
Sponsorship at Omada Health tends to follow the company's core technical and clinical functions. Roles in software engineering, data science, product development, and clinical operations are the most likely candidates for sponsorship consideration, given Omada's focus on building digital care programs. Highly specialized positions where talent is difficult to source domestically typically have the strongest case for employer-sponsored immigration.
How do I find open roles at Omada Health that offer visa sponsorship?
Migrate Mate is the most direct way to find Omada Health jobs with confirmed sponsorship history. Unlike general job boards, Migrate Mate verifies sponsorship data so you can see which companies have actually filed for visas rather than relying on self-reported listings. Search for Omada Health on the platform to browse current openings filtered by sponsorship type.
How do I approach the application process at Omada Health as an international candidate?
Start by confirming that the role you are targeting falls within the skill categories where Omada Health has historically sponsored. When you reach the offer stage, raise sponsorship directly and come prepared with questions about the PERM process and expected timelines. Demonstrating specialized expertise in digital health, behavioral science, or clinical technology will strengthen your case for sponsorship consideration.