Apache Spark Jobs in Las Vegas.
All active Apache Spark roles based in Las Vegas.
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Senior Data Engineer
WHO ARE WE?
Launch Potato is a profitable digital media company that reaches over 30M+ monthly visitors through brands such as FinanceBuzz, All About Cookies, and OnlyInYourState.
As The Discovery and Conversion Company, our mission is to connect consumers with the world’s leading brands through data-driven content and technology.
Headquartered in South Florida with a remote-first team spanning over 15 countries, we’ve built a high-growth, high-performance culture where speed, ownership, and measurable impact drive success.
WHY JOIN US?
At Launch Potato, you’ll accelerate your career by owning outcomes, moving fast, and driving impact with a global team of high-performers.
BASE SALARY: $150,000 to $190,000 per year, paid semi-monthly
MUST HAVE:
- 5+ years of experience in data engineering within fast-paced, cloud-native environments
- Deep expertise in Python, SQL, Docker, and AWS (S3, Glue, Kinesis, Athena/Presto)
- Experience building and managing scalable ETL pipelines and data lake infrastructure
- Familiarity with distributed systems, Spark, and data quality best practices
- Strong cross-functional collaboration skills to support BI, analytics, and engineering teams
EXPERIENCE: 5+ years of data engineering experience in an AWS-based environment where data powers decision-making across product, marketing, and operations.
YOUR ROLE
Lead scalable data engineering efforts that empower cross-functional teams with reliable, timely, and actionable data, ensuring Launch Potato’s analytics and business intelligence infrastructure fuels strategic growth.
OUTCOMES
- Build and optimize scalable, efficient ETL and data lake processes that proactively catch issues before they impact the business
- Own the ingestion, modeling, and transformation of structured and unstructured data to support reporting and analysis across all business units
- Partner closely with BI and Analytics to deliver clean, query-ready datasets that improve user acquisition, engagement, and revenue growth
- Maintain and enhance database monitoring, anomaly detection, and quality assurance workflows
- Serve as the internal point of contact for reporting infrastructure—delivering ad hoc data analyses and driving consistent data integrity
- Drive adoption and advancement of Looker dashboards by ensuring robust and scalable backend data support
- Contribute to the future of Launch Potato’s data team by mentoring peers and shaping a high-performance, quality-first engineering culture
COMPETENCIES
- Data Engineering Mastery: Demonstrates technical excellence in building data pipelines, troubleshooting distributed systems, and scaling infrastructure using AWS and open-source tools
- Cross-Functional Collaboration: Communicates clearly across technical and non-technical teams, translating business needs into robust data solutions
- Proactive Ownership: Operates with a strong sense of accountability; identifies and solves data issues independently and efficiently
- Quality-Driven Execution: Holds a high bar for data accuracy, auditability, and documentation throughout all systems and workflows
- Strategic Thinking: Anticipates how data infrastructure impacts wider company OKRs and proactively suggests improvements and innovations
- Growth Mindset: Seeks out opportunities to elevate team capabilities, mentor others, and stay ahead of evolving best practices in data engineering
TOTAL COMPENSATION
Base salary is set according to market rates for the nearest major metro and varies based on Launch Potato’s Levels Framework. Your compensation package includes a base salary, profit-sharing bonus, and competitive benefits. Launch Potato is a performance-driven company, which means once you are hired, future increases will be based on company and personal performance, not annual cost of living adjustments.
Want to accelerate your career? Apply now!
Since day one, we've been committed to having a diverse, inclusive team and culture. We are proud to be an Equal Employment Opportunity company. We value diversity, equity, and inclusion.
We do not discriminate based on race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.
Ready to apply?
Apply to Launch Potato
Lead Data Engineer
WHO ARE WE?
Launch Potato is a profitable digital media company that reaches over 30M+ monthly visitors through brands such as FinanceBuzz, All About Cookies, and OnlyInYourState.
As The Discovery and Conversion Company, our mission is to connect consumers with the world’s leading brands through data-driven content and technology.
Headquartered in South Florida with a remote-first team spanning over 15 countries, we’ve built a high-growth, high-performance culture where speed, ownership, and measurable impact drive success.
WHY JOIN US?
At Launch Potato, you’ll accelerate your career by owning outcomes, moving fast, and driving impact with a global team of high-performers.
BASE SALARY: $150,000 to $190,000 per year, paid semi-monthly
MUST HAVE:
- 5+ years of experience in data engineering within fast-paced, cloud-native environments
- Deep expertise in Python, SQL, Docker, and AWS (S3, Glue, Kinesis, Athena/Presto)
- Experience building and managing scalable ETL pipelines and data lake infrastructure
- Familiarity with distributed systems, Spark, and data quality best practices
- Strong cross-functional collaboration skills to support BI, analytics, and engineering teams
EXPERIENCE: 5+ years of data engineering experience in an AWS-based environment where data powers decision-making across product, marketing, and operations.
YOUR ROLE
Lead scalable data engineering efforts that empower cross-functional teams with reliable, timely, and actionable data, ensuring Launch Potato’s analytics and business intelligence infrastructure fuels strategic growth.
OUTCOMES
- Build and optimize scalable, efficient ETL and data lake processes that proactively catch issues before they impact the business
- Own the ingestion, modeling, and transformation of structured and unstructured data to support reporting and analysis across all business units
- Partner closely with BI and Analytics to deliver clean, query-ready datasets that improve user acquisition, engagement, and revenue growth
- Maintain and enhance database monitoring, anomaly detection, and quality assurance workflows
- Serve as the internal point of contact for reporting infrastructure—delivering ad hoc data analyses and driving consistent data integrity
- Drive adoption and advancement of Looker dashboards by ensuring robust and scalable backend data support
- Contribute to the future of Launch Potato’s data team by mentoring peers and shaping a high-performance, quality-first engineering culture
COMPETENCIES
- Data Engineering Mastery: Demonstrates technical excellence in building data pipelines, troubleshooting distributed systems, and scaling infrastructure using AWS and open-source tools
- Cross-Functional Collaboration: Communicates clearly across technical and non-technical teams, translating business needs into robust data solutions
- Proactive Ownership: Operates with a strong sense of accountability; identifies and solves data issues independently and efficiently
- Quality-Driven Execution: Holds a high bar for data accuracy, auditability, and documentation throughout all systems and workflows
- Strategic Thinking: Anticipates how data infrastructure impacts wider company OKRs and proactively suggests improvements and innovations
- Growth Mindset: Seeks out opportunities to elevate team capabilities, mentor others, and stay ahead of evolving best practices in data engineering
TOTAL COMPENSATION
Base salary is set according to market rates for the nearest major metro and varies based on Launch Potato’s Levels Framework. Your compensation package includes a base salary, profit-sharing bonus, and competitive benefits. Launch Potato is a performance-driven company, which means once you are hired, future increases will be based on company and personal performance, not annual cost of living adjustments.
Want to accelerate your career? Apply now!
Since day one, we've been committed to having a diverse, inclusive team and culture. We are proud to be an Equal Employment Opportunity company. We value diversity, equity, and inclusion.
We do not discriminate based on race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.
Ready to apply?
Apply to Launch Potato
Staff Tech Lead Manager, ML Data Services
The ML Data Service team is seeking a highly experienced and motivated Staff Tech Lead Manager (TLM) to lead the development and operation of our core machine learning data infrastructure. This critical role requires a blend of deep technical expertise in machine learning systems, large-scale data processing, and proven leadership ability to manage both individual contributors and technical direction.
The ML Data Service team is responsible for providing reliable, high-quality, and easily accessible data for all ML use cases. As owners of the "Data Engineering" phase of the ML lifecycle, they manage the most critical input to any ML system: the data itself. Our infrastructure supports hundreds of data pipelines and petabytes of data, directly enabling the success of our flagship products.
What You'll Do
Technical Leadership and Strategy
- Define and drive the technical roadmap and long-term strategy for the ML Data Service platform, ensuring it meets the evolving needs of ML engineers across the company.
- Serve as the top technical expert for the team, architecting complex, highly scalable, and fault-tolerant systems for data ingestion, transformation, and serving.
- Lead the technical vision for the provision of diverse training data sources, including ingestion from real-world drive logs, resimulation outputs, autolabelling pipelines, and human labelling efforts.
- Drive the implementation of robust mechanisms for monitoring data quality, tracking data lineage, and ensuring overall data governance and compliance.
- Provide hands-on technical guidance, design reviews, and mentorship to engineers, ensuring the adoption of best practices, high code quality, and operational excellence.
Management and Team Growth
- Manage a team of software engineers, including performance reviews, career development, coaching, and mentoring.
- Act as a technical leader-manager hybrid, balancing 50% management duties with 50% technical leadership, architecture, and hands-on coding/design.
- Drive hiring and recruitment efforts to attract, onboard, and retain top engineering talent, fostering a diverse and inclusive team culture.
- Champion engineering excellence, operational rigor, and a strong sense of ownership within the team.
Collaboration and Execution
- Collaborate closely with ML model teams and Infrastructure teams to understand data needs and deliver solutions that accelerate ML development cycles.
- Lead the execution of major projects, ensuring on-time delivery and alignment with business objectives.
- Communicate complex technical concepts and strategic direction effectively to both technical and non-technical stakeholders, including executive leadership.
What We're Looking For
- Bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent practical experience.
- 8+ years of experience in software engineering, with a strong focus on large-scale data systems, distributed systems, or ML infrastructure.
- 3+ years of experience managing engineering projects with a track record of delivering efficient tools and infra. Manger experience of building and scaling high-performing teams is a strong plus (including mentoring, performance management, and career development).
- Deep expertise in data processing technologies (e.g., Spark, Flink, Beam, distributed databases) and experience with cloud platforms (e.g., AWS, GCP, Azure).
- Demonstrated experience designing, implementing, and operating production-grade ML data pipelines or feature stores.
This role is hybrid from our Pittsburgh office and requires two in-office days per week, ideally Tuesday and Thursday.
The salary range for this role is an estimate based on a wide range of compensation factors including but not limited to specific skills, experience and expertise, role location, certifications, licenses, and business needs. The estimated compensation range listed in this job posting reflects base salary only. This role may include additional forms of compensation such as a bonus or company equity. The recruiter assigned to this role can share more information about the specific compensation and benefit details associated with this role during the hiring process.
Candidates for certain positions are eligible to participate in Motional’s benefits program. Motional’s benefits include but are not limited to medical, dental, vision, 401k with a company match, health saving accounts, life insurance, pet insurance, and more.
Motional is a driverless technology company making autonomous vehicles a safe, reliable, and accessible reality. We’re driven by something more.
Our journey is always people first.
We aren't just developing driverless cars; we're creating safer roadways, more equitable transportation options, and making our communities better places to live, work, and connect. Our team is made up of engineers, researchers, innovators, dreamers and doers, who are creating a technology with the potential to transform the way we move.
Higher purpose, greater impact.
We’re creating first-of-its-kind technology that will transform transportation. To do so successfully, we must design for everyone in our cities and on our roads. We believe in building a great place to work through a progressive, global culture that is diverse, inclusive, and ensures people feel valued at every level of the organization. Diversity helps us to see the world differently; it’s not only good for our business, it’s the right thing to do.
Scale up, not starting up.
Our team is behind some of the industry's largest leaps forward, including the first fully-autonomous cross-country drive in the U.S, the launch of the world's first robotaxi pilot, and operation of the world's longest-standing public robotaxi fleet. We’re driven to scale; we’re moving towards commercialization of our technology, and we need team members who are ready to embrace change and challenges.
Formed as a joint venture between Hyundai Motor Group and Aptiv, Motional is fundamentally changing how people move through their lives. Headquartered in Boston, Motional has operations in the U.S and Asia. For more information, visit www.Motional.com and follow us on Twitter, LinkedIn, Instagram and YouTube.
Motional AD Inc. is an EOE. We celebrate diversity and are committed to creating an inclusive environment for all employees. To comply with Federal Law, we participate in E-Verify. All newly-hired employees are queried through this electronic system established by the DHS and the SSA to verify their identity and employment eligibility.
Ready to apply?
Apply to Motional
Staff Tech Lead Manager, ML Data Services
The ML Data Service team is seeking a highly experienced and motivated Staff Tech Lead Manager (TLM) to lead the development and operation of our core machine learning data infrastructure. This critical role requires a blend of deep technical expertise in machine learning systems, large-scale data processing, and proven leadership ability to manage both individual contributors and technical direction.
The ML Data Service team is responsible for providing reliable, high-quality, and easily accessible data for all ML use cases. As owners of the "Data Engineering" phase of the ML lifecycle, they manage the most critical input to any ML system: the data itself. Our infrastructure supports hundreds of data pipelines and petabytes of data, directly enabling the success of our flagship products.
What You'll Do
Technical Leadership and Strategy
- Define and drive the technical roadmap and long-term strategy for the ML Data Service platform, ensuring it meets the evolving needs of ML engineers across the company.
- Serve as the top technical expert for the team, architecting complex, highly scalable, and fault-tolerant systems for data ingestion, transformation, and serving.
- Lead the technical vision for the provision of diverse training data sources, including ingestion from real-world drive logs, resimulation outputs, autolabelling pipelines, and human labelling efforts.
- Drive the implementation of robust mechanisms for monitoring data quality, tracking data lineage, and ensuring overall data governance and compliance.
- Provide hands-on technical guidance, design reviews, and mentorship to engineers, ensuring the adoption of best practices, high code quality, and operational excellence.
Management and Team Growth
- Manage a team of software engineers, including performance reviews, career development, coaching, and mentoring.
- Act as a technical leader-manager hybrid, balancing 50% management duties with 50% technical leadership, architecture, and hands-on coding/design.
- Drive hiring and recruitment efforts to attract, onboard, and retain top engineering talent, fostering a diverse and inclusive team culture.
- Champion engineering excellence, operational rigor, and a strong sense of ownership within the team.
Collaboration and Execution
- Collaborate closely with ML model teams and Infrastructure teams to understand data needs and deliver solutions that accelerate ML development cycles.
- Lead the execution of major projects, ensuring on-time delivery and alignment with business objectives.
- Communicate complex technical concepts and strategic direction effectively to both technical and non-technical stakeholders, including executive leadership.
What We're Looking For
- Bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent practical experience.
- 8+ years of experience in software engineering, with a strong focus on large-scale data systems, distributed systems, or ML infrastructure.
- 3+ years of experience managing engineering projects with a track record of delivering efficient tools and infra. Manger experience of building and scaling high-performing teams is a strong plus (including mentoring, performance management, and career development).
- Deep expertise in data processing technologies (e.g., Spark, Flink, Beam, distributed databases) and experience with cloud platforms (e.g., AWS, GCP, Azure).
- Demonstrated experience designing, implementing, and operating production-grade ML data pipelines or feature stores.
This role is hybrid from our Boston and Pittsburgh offices and requires two in-office days per week, ideally Tuesday and Thursday.
The salary range for this role is an estimate based on a wide range of compensation factors including but not limited to specific skills, experience and expertise, role location, certifications, licenses, and business needs. The estimated compensation range listed in this job posting reflects base salary only. This role may include additional forms of compensation such as a bonus or company equity. The recruiter assigned to this role can share more information about the specific compensation and benefit details associated with this role during the hiring process.
Candidates for certain positions are eligible to participate in Motional’s benefits program. Motional’s benefits include but are not limited to medical, dental, vision, 401k with a company match, health saving accounts, life insurance, pet insurance, and more.
Motional is a driverless technology company making autonomous vehicles a safe, reliable, and accessible reality. We’re driven by something more.
Our journey is always people first.
We aren't just developing driverless cars; we're creating safer roadways, more equitable transportation options, and making our communities better places to live, work, and connect. Our team is made up of engineers, researchers, innovators, dreamers and doers, who are creating a technology with the potential to transform the way we move.
Higher purpose, greater impact.
We’re creating first-of-its-kind technology that will transform transportation. To do so successfully, we must design for everyone in our cities and on our roads. We believe in building a great place to work through a progressive, global culture that is diverse, inclusive, and ensures people feel valued at every level of the organization. Diversity helps us to see the world differently; it’s not only good for our business, it’s the right thing to do.
Scale up, not starting up.
Our team is behind some of the industry's largest leaps forward, including the first fully-autonomous cross-country drive in the U.S, the launch of the world's first robotaxi pilot, and operation of the world's longest-standing public robotaxi fleet. We’re driven to scale; we’re moving towards commercialization of our technology, and we need team members who are ready to embrace change and challenges.
Formed as a joint venture between Hyundai Motor Group and Aptiv, Motional is fundamentally changing how people move through their lives. Headquartered in Boston, Motional has operations in the U.S and Asia. For more information, visit www.Motional.com and follow us on Twitter, LinkedIn, Instagram and YouTube.
Motional AD Inc. is an EOE. We celebrate diversity and are committed to creating an inclusive environment for all employees. To comply with Federal Law, we participate in E-Verify. All newly-hired employees are queried through this electronic system established by the DHS and the SSA to verify their identity and employment eligibility.
Ready to apply?
Apply to Motional
The ML Data Service team is seeking a highly experienced and motivated Staff Tech Lead Manager (TLM) to lead the development and operation of our core machine learning data infrastructure. This critical role requires a blend of deep technical expertise in machine learning systems, large-scale data processing, and proven leadership ability to manage both individual contributors and technical direction.
The ML Data Service team is responsible for providing reliable, high-quality, and easily accessible data for all ML use cases. As owners of the "Data Engineering" phase of the ML lifecycle, they manage the most critical input to any ML system: the data itself. Our infrastructure supports hundreds of data pipelines and petabytes of data, directly enabling the success of our flagship products.
What You'll Do
Technical Leadership and Strategy
- Define and drive the technical roadmap and long-term strategy for the ML Data Service platform, ensuring it meets the evolving needs of ML engineers across the company.
- Serve as the top technical expert for the team, architecting complex, highly scalable, and fault-tolerant systems for data ingestion, transformation, and serving.
- Lead the technical vision for the provision of diverse training data sources, including ingestion from real-world drive logs, resimulation outputs, autolabelling pipelines, and human labelling efforts.
- Drive the implementation of robust mechanisms for monitoring data quality, tracking data lineage, and ensuring overall data governance and compliance.
- Provide hands-on technical guidance, design reviews, and mentorship to engineers, ensuring the adoption of best practices, high code quality, and operational excellence.
Management and Team Growth
- Manage a team of software engineers, including performance reviews, career development, coaching, and mentoring.
- Act as a technical leader-manager hybrid, balancing 50% management duties with 50% technical leadership, architecture, and hands-on coding/design.
- Drive hiring and recruitment efforts to attract, onboard, and retain top engineering talent, fostering a diverse and inclusive team culture.
- Champion engineering excellence, operational rigor, and a strong sense of ownership within the team.
Collaboration and Execution
- Collaborate closely with ML model teams and Infrastructure teams to understand data needs and deliver solutions that accelerate ML development cycles.
- Lead the execution of major projects, ensuring on-time delivery and alignment with business objectives.
- Communicate complex technical concepts and strategic direction effectively to both technical and non-technical stakeholders, including executive leadership.
What We're Looking For
- Bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent practical experience.
- 8+ years of experience in software engineering, with a strong focus on large-scale data systems, distributed systems, or ML infrastructure.
- 3+ years of experience managing engineering projects with a track record of delivering efficient tools and infra. Manger experience of building and scaling high-performing teams is a strong plus (including mentoring, performance management, and career development).
- Deep expertise in data processing technologies (e.g., Spark, Flink, Beam, distributed databases) and experience with cloud platforms (e.g., AWS, GCP, Azure).
- Demonstrated experience designing, implementing, and operating production-grade ML data pipelines or feature stores.
This role is hybrid from our Boston office and requires two in-office days per week, ideally Tuesday and Thursday.
The salary range for this role is an estimate based on a wide range of compensation factors including but not limited to specific skills, experience and expertise, role location, certifications, licenses, and business needs. The estimated compensation range listed in this job posting reflects base salary only. This role may include additional forms of compensation such as a bonus or company equity. The recruiter assigned to this role can share more information about the specific compensation and benefit details associated with this role during the hiring process.
Candidates for certain positions are eligible to participate in Motional’s benefits program. Motional’s benefits include but are not limited to medical, dental, vision, 401k with a company match, health saving accounts, life insurance, pet insurance, and more.
Motional is a driverless technology company making autonomous vehicles a safe, reliable, and accessible reality. We’re driven by something more.
Our journey is always people first.
We aren't just developing driverless cars; we're creating safer roadways, more equitable transportation options, and making our communities better places to live, work, and connect. Our team is made up of engineers, researchers, innovators, dreamers and doers, who are creating a technology with the potential to transform the way we move.
Higher purpose, greater impact.
We’re creating first-of-its-kind technology that will transform transportation. To do so successfully, we must design for everyone in our cities and on our roads. We believe in building a great place to work through a progressive, global culture that is diverse, inclusive, and ensures people feel valued at every level of the organization. Diversity helps us to see the world differently; it’s not only good for our business, it’s the right thing to do.
Scale up, not starting up.
Our team is behind some of the industry's largest leaps forward, including the first fully-autonomous cross-country drive in the U.S, the launch of the world's first robotaxi pilot, and operation of the world's longest-standing public robotaxi fleet. We’re driven to scale; we’re moving towards commercialization of our technology, and we need team members who are ready to embrace change and challenges.
Formed as a joint venture between Hyundai Motor Group and Aptiv, Motional is fundamentally changing how people move through their lives. Headquartered in Boston, Motional has operations in the U.S and Asia. For more information, visit www.Motional.com and follow us on Twitter, LinkedIn, Instagram and YouTube.
Motional AD Inc. is an EOE. We celebrate diversity and are committed to creating an inclusive environment for all employees. To comply with Federal Law, we participate in E-Verify. All newly-hired employees are queried through this electronic system established by the DHS and the SSA to verify their identity and employment eligibility.
Ready to apply?
Apply to Motional
Ever imagined saying, “I helped launch the future of transportation”?
We’re rewriting the rules of urban mobility. At Vay, customers tap a button and a car arrives - with no one inside - powered by our world-first Remote Driving technology on real public streets.
We’re live in Las Vegas and scaling fast, powered by a strategic investment of up to $410 million from Grab. Our mission is simple: replace private car ownership with a faster, cleaner, door-to-door mobility model. If you want to build something real, visible, and genuinely transformative, you’ll feel right at home here.
Curious to experience Vay yourself? Use the code VAYCANDIDATE for $10 off your first trip in Las Vegas! Download the "Vay" app from the Apple or Google Play store & off you go!
What’s happening at Vay
- First to roll out vehicles in both Europe and the USA on public roads without a human being inside & currently the 2nd largest commercial, driverless car fleet in the Western World.
- We've partnered with Kodiak to bring remote-driving technology to autonomous trucks in the US, showcasing our ability to integrate our system into heavy-duty commercial vehicles and expand the applications of our tech across the US.
- We’ve completed 10’s of thousands of trips so far and are busy multiplying our Las Vegas fleet just to meet demand!
- ...And soon we’ll be expanding across the US & Europe 🚀
Why this role is exciting
This is a high-impact role at the intersection of data science, mapping, and real-world mobility systems. You’ll work on the data and algorithms that define how Vay’s vehicles navigate cities safely and efficiently within our Operational Design Domain (ODD). Your work will directly unlock our ability to scale to new cities, improve routing performance, and solve complex real-world challenges in a rapidly evolving mobility environment.
What you’ll be driving
In this role, you will play a critical part in advancing Vay’s mapping and routing capabilities using data science and machine learning approaches.
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Develop automated approaches to map augmentation using video, connectivity, trip data, and open datasets such as OpenStreetMap.
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Build data science solutions that accelerate map creation and updates for new cities where Vay launches.
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Design and develop routing simulation tools to discover optimal strategies for improving ETA and ATA accuracy.
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Lead and contribute to initiatives within the Operational Design Domain (ODD) data science pod.
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Identify and automate inefficiencies in map generation workflows to enable faster and more frequent updates.
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Work cross-functionally with engineering, operations, and product teams to implement and deploy production-grade solutions.
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Help scale the impact of the data science team by driving key initiatives and reducing knowledge concentration on critical ODD topics.
What are we looking for
We’re looking for a data scientist who enjoys solving complex real-world problems and turning experimental ideas into production systems that power next-generation mobility.
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Strong experience applying data science or machine learning techniques to real-world problems.
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Ability to write high-quality, production-grade code.
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Experience building and deploying applied data science solutions across the full lifecycle—from concept to implementation and rollout.
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Strong Python experience and familiarity with modern data science workflows (e.g., Jupyter, GitHub, cloud compute environments).
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Experience working with geospatial data, routing systems, or map-based datasets is highly valuable.
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Comfortable working cross-functionally and owning complex initiatives in a fast-moving environment.
Nice to have
-
Prior engineering experience or strong software engineering foundations.
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Experience with technologies such as Spark, TensorFlow, PyTorch, or similar ML frameworks.
Why choose Vay
💪 A global team of smart, motivated people from 30+ countries who love tackling hard problems and turning bold ideas into reality.
🌍 Huge scope for impact in a fast paced environment
💰 ESOP stock options: A stake in Vay’s future – not just a salary.
🌴 Unlimited Paid Vacation Days
🎫 401(k) programme
🏥 Health, Dental & Vision Insurance
🚗 All Vay team members receive 30% off their Vay rides
🏋️♂️ Wellness Hub free gym access & wellness app subscriptions
🛍️ Exclusive external discounts
💼 $350 Home office budget
✈️ Relocation financial assistance when relocating to Las Vegas
🎊 Regular team events throughout the year
For more information on Vay’s physical demands, working environments and safety requirements, you can review this link. We’ll also cover anything specific to this role during the first interview.
We’d love to stay connected for future opportunities, so feel free to include your LinkedIn profile when you apply.
We welcome applications from all backgrounds and experiences. If you’re excited about shaping something truly groundbreaking, we’d be happy to hear from you.
Ready to apply?
Apply to Vay