About the role

As a Data Analyst at Sporty, you’ll be mining through petabytes of data to provide key insights that drive core business decisions. You’ll create dashboards that are used on a daily basis by product managers, traders, and executives, as well as provide in-depth reports on various areas of the business with complete freedom on your methodology.

Furthermore, our analysts play a key role in ensuring the stability of our reporting infrastructure. They are vital in maintaining our ability to deliver accurate and consistent reporting to the various stakeholders. 

Our Stack

• MySQL
• Python
• AirFlow
• AWS
• Metabase
• Redshift
• Linux

What you'll be doing

• Analysing large and complex datasets to identify trends, patterns, and actionable insights that support business decision-making.
• Designing, defining, and monitoring  core business KPIs to evaluate product and operational performance.
• Partnering with product, marketing, and business teams to translate business questions into structured data analysis.
• Delivering clear, concise, and data-driven insights to stakeholders and shareholders through presentations and reports.
• Developing and maintaining dashboards and reporting frameworks that enable self-service analytics.
• Conducting ad hoc analysis to support strategic initiatives and emerging business needs.
• Ensuring data quality and integrity by validating datasets and collaborating with data engineering teams when needed.

What you'll bring

• 3+ years experience in a similar data-driven role 
• Excellent working knowledge of SQL 
• Familiarity with Python and a range of BI and data visualization tools
• Strong knowledge with ETL data pipelines
• Strong knowledge of A/B Testing
• Familiarity with Airflow
• Understanding of principles of relational databases and data warehouse 
• Strong understanding of sports and gaming will be beneficial 
• Proactive and self-driven with excellent analytical skills 
• Ability to thrive in a fast paced and dynamic environment 
• Great communication skills

Even better if you have

• Hands-on experience with machine learning
• Relevant knowledge or experience in the gaming industry
• Working knowledge of Python
• Experience with Airflow and Metabase

What’s in it for you

• Sporty is a remote first company in pursuit of sustainability
• A competitive salary + individual performance based bonuses every quarter
• 28 days paid annual leave
• Our core working hours are 10am-3pm in your local time zone with flexibility outside of this
• Referral bonuses & flash bonuses
• Top of the line equipment
• Annual company retreats to provide great internal networking opportunities

Interview Process

• Remote video screening with our Talent Acquisition Team 
• Offline Take home assignment
• Remote video interview with Team Members (90 Mins)

If you're interested, we encourage you to apply! Every application is reviewed by a member of our team (AI is not used in our recruitment process), and we aim to respond within 48 hours.

#LI-remote

HYPR, the Identity Assurance Company, helps organizations create trust in the identity lifecycle.  We are a community of bold thinkers and energetic doers who imagined a brand new approach to identity security and, at the same time, are eliminating a pervasive and persistent 60-year old problem – the password. Since being founded in 2014, the company has grown to be the premium provider of authentication security to marquee brands around the globe and are quickly becoming the recognized leader in Identity Assurance. We are looking for exceptional people with the ambition and the will to positively change the world. If that sounds like you, join us on our mission to create a passwordless world and secure the identity lifecycle.

Your Role and Impact 

HYPR is looking for a Senior Software Engineer who cares deeply about building secure, high-quality software—and wants to work on problems that actually matter.

We are a great home for people who are intrinsically motivated—proud of their craft and excited to build with a high-bar team that expects great work and supports you.

You’ll design, build, and operate core components of HYPR’s security platform, used by Fortune 500 companies:

• Passwordless authentication and identity verification systems built on open standards
• W3C-compliant authentication servers and large-scale distributed systems
• Security-focused infrastructure and application workflows
• Emerging capabilities at the intersection of cybersecurity and AI

“If you're passionate about cyber security, scalable architectures, and impactful engineering, HYPR will be a great fit for you.”

What you will do in this role

• Design, develop and deploy SaaS services end-to-end—from understanding requirements and designing solutions to deployment, production support, scalability and performance
• Be on the fore front of AI-native SDLC by using agents throughout design, coding, testing, and documentation
• Research new technologies and solutions to improve existing products and explore new directions
• Implement comprehensive automated testing at the component level and collaborate with SDET(s)
• Participate in standards bodies and shape next-generation standards like W3C, WebAuthn, and OAuth
• Work directly with customers - product calls to understand the problems and an on-call rotation of incident escalation

Who you are

• Self-starter—able to dive into an existing product and learn quickly in a fast, hands-on environment
• Team player—collaboration with team members, operations, and support teams is critical
• Detail-oriented—takes pride in writing high-quality, maintainable code and following best practices
• Security-minded—interested in the cybersecurity domain; previous exposure or participation is a plus
• Autonomous and accountable—takes ownership of work and drives it to completion; actively assists in the production support aspects of your work as needed

Required Qualifications

Expert-Level

• Java SE 21+ and Spring/Quarkus
• Kubernetes or another container orchestration platform
• Cloud-first development experience—AWS, Azure, or similar
• Datastores, one or more of: MySQL, Oracle, DynamoDB, Redshift, Redis

Strong

• CS algorithms, data structures, clean code, and scalability design patterns
• Scalable services—multi-region, graceful degradation, and elastic capacity
• One major JS framework—Angular, React, or Vue
• Observability techniques and tools—events, metrics, OpenTelemetry
• Continuous deployment methodologies—unit, acceptance, and load testing approaches
• Kotlin development experience

Preferred

• Authentication protocol knowledge is highly valued—OAuth, SAML, WebAuthn, PKI, Kerberos, FIDO/FIDO2
• Keycloak, Ping or Okta authentication server
• One Infrastructure as Code (IaC) tool—Terraform, Helm, AWS CloudFormation
• Dynamically typed language—Python, Ruby, or similar

Experience

10+ years of experience designing, building, and maintaining an enterprise web-based platform that services at least 100K users. Can be SaaS or on-premise

Education

BS/MS in computer science or a related software engineering field.

What HYPR Offers

• Long-Term stability within a high-growth sector within identity access automation.
• Majority of HYPR engineers are Senior; you’re joining a team of all-stars who consistently deliver the highest quality code and products on tight timelines.
• Strong support for work–life balance, with flexibility to meet family and personal responsibilities. We offer a generous amount of PTO and wellness days.
• Emphasis on collaboration, with paid weekly team lunches in office (some variations by country).
• Employer-paid supplemental medical coverage (some variations by country).
• Paid access to leading industry conferences and opportunities to participate in standards bodies, including FIDO and OAUTH.
• Extreme product focus with high levels of ownership and autonomy—you’ll work on cutting-edge, high-impact problems, bringing together your own insights to drive meaningful outcomes

Full Time Opportunity: Yes

Remote: Yes

As the premium provider of authentication security, HYPR is committed to preventing identity fraud by safely and accurately verifying the identities of our employees. Accordingly, all new employees are required to participate in an automated identity verification process, which includes document verification, location detection, and facial recognition, on their first day of employment with the Company.  To learn more about this identity verification process,  please contact peopleops@hypr.com.

Overview

The centralized Data and Analytics team at Recharge delivers critical analytic capabilities and insights for Recharge’s business and customers. 

As a Senior Data Engineer, you will build scalable data pipelines and infrastructure that power internal business analytics and customer-facing data products.  Your work will empower data analysts to derive deeper strategic insights from our data, and will  enable developers to build applications that surface data insights directly to our merchants. 

What you’ll do

• Build data pipeline, ELT and infrastructure solutions to power internal data analytics/science and external, customer-facing data products.
• Create automated monitoring, auditing and alerting processes that ensure data quality and consistency.
• Work with business and application/solution teams to implement data strategies, build data flows, and develop conceptual/logical/physical data models
• Design, develop, implement, and optimize existing ETL processes that merge data from disparate sources for consumption by data analysts, business owners, and customers
• Seek ways to continually improve the operations, monitoring and performance of the data warehouse
• Influence and communicate with all levels of stakeholders including analysts, developers, business users, and executives.
• Redesign and optimize existing data processes using AI (e.g., LLM-assisted development, automated documentation, issue resolution) to improve team productivity and enhance data quality across the data warehouse
• Live by and champion our values: #day-one, #ownership, #empathy, #humility.

What you’ll bring

• Typically, 5+ years experience in a data engineering related role (Data Engineer, Data Platform Engineer, Analytics Engineer etc) with a track record of building scalable data pipeline, transformation, and platform solutions. 
• 3+ years of hands-on experience designing and building data pipelines and models  to ingesting, transforming and delivery of large amounts of data, from multiple sources into a Dimensional (Star Schema) Data Warehouse, Data Lake.
• Experience with a variety of data warehouse, data lake and enterprise data management platforms (Snowflake {preferred}, Redshift, databricks, MySQL, Postgres, Oracle,  RDS, AWS, GCP)
• Experience building data pipelines, models and infrastructure powering external, customer-facing (in addition to internal business facing) analytics applications.
• Solid grasp to data warehousing methodologies like Kimball and Inmon
• Experience working with a variety of ETL tools. (FiveTran, dbt, Python etc)
• Experience with workflow orchestration management engines such as Airflow & Cloud Composer
• Hands on experience with Data Infra tools like Kubernetes, Docker
• Expert proficiency in SQL
• Strong Python proficiency

Interview recording & AI notetakers
To protect privacy, legal compliance, and interviewer/candidate experience, recording, transcribing, or using AI notetaker tools during interviews is not permitted without our prior written consent. Handwritten notes are welcome. If you need an accommodation (e.g., captions), email recruiting@getrecharge.com before your interview—we’ll arrange an approved solution.

Compensation 

Recharge’s compensation offerings are grounded in a pay-for-performance philosophy that recognizes exceptional individual and team performance. Salary ranges are designed to be competitive and aligned with country specific practices, while individual compensation is determined by skills, qualifications, and experience. The compensation listed is not inclusive of any equity and benefits that might exist in your total compensation package.

• Hiring range in the US
  $148,000 USD - $185,000 USD
• Hiring range in Canada
  $108,000 CAD - $136,000 CAD

Application window anticipated to close: 6/1/2025. If you’re interested in this opportunity, please submit an application as soon as possible.

Our Engineering systems use an exciting array of technologies. Most of our backend systems use Python and the frontend uses React, Angular and JavaScript. We also use a variety of database technologies, including PostgreSQL, Snowflake, Redshift, and Redis. Everything is connected by message buses powered by Apache Kafka and RabbitMQ. We are a small and strong team of under 50 engineers and an Engineering Intern at Chartbeat, you will have the opportunity to work with our core engineering team responsible for building, scaling, and maintaining our data systems, front end, analysis engines, and APIs. As an engineering intern at Chartbeat, you will be on a small cross-functional scrum team (typically, a few engineers, a designer, a data scientist, and a product manager) that will define your day-to-day activity — your team will collaborate to plan sprint goals and execute on those. As a member of the larger engineering organization, you’ll participate in team meetings, demos, tech talks, discussions and learning/teaching opportunities. You will work closely with a mentor, who will help you build and deploy our products. Candidates are expected to have experience in one of our preferred coding languages given below, basic knowledge of working with version control software (git) and project management tools such as jira. 

Working at Chartbeat

During your time at Chartbeat, you can expect to work with a modern software development stack and engineering systems built for scale. You will also have a chance to meet heads of other departments such as Sales, Finance, Product and more, who will give you a view into what and how they work, it will be an opportunity not only to dive into all things engineering, but also to learn about how an enterprise SaaS company works end to end. Some logistics info, the internship will be fully remote with an expectation to work during the US east coast business hours. We will be providing a Macbook that will be used and returned back to us after the internship. Interns in the NYC area will have the chance to meet some of our local team members at a co-working space occasionally and work together. Finally, our interns will also be able to expense two lunches every month when meeting with anyone at the company - we encourage them to mix and mingle! 

Data Engineering Internship: 

Preferred Skills: Python, SQL

Chartbeat’s intuitive and powerful software has long empowered media brands to use their own data to build loyal audiences across desktop, social, and mobile platforms. With easy-to-use real-time and historical analytics, in-page optimization and testing tools, and unique insights into audience engagement, Chartbeat’s products bring value to editorial, product, and business teams. 

In 2023, Chartbeat acquired Tubular Labs, a leader in global social video intelligence and measurement. Tubular provides a unified view of the shifting values and interests of audiences across YouTube, Instagram, Facebook, TikTok and Twitch. Together, we’re expanding the ecosystem of insights we provide to enterprise content creators who are developing audiences and revenue streams across channels. 

The data we process each day is massive in scale, Chartbeat’s products measure nearly 100 billion pageviews each month, over 1 million messages pass through our data systems each second and support measuring tens of millions of concurrent visitors across our customers’ sites. At Tubular, we have empowered 5,000+ creators and 200+ enterprise customers to create content with confidence, improve their organic and paid promotion, find and partner with influencers, and report it all out efficiently. Tubular analyzes the engagement of the world of digital video viewers and tracks 7+ billion videos and live streams across all major social platforms.

The Tech Stack and Team

Our Engineering systems use an exciting array of technologies. Most of our backend systems use Python and the frontend uses React, Angular and JavaScript. We also use a variety of database technologies, including PostgreSQL, Snowflake, Redshift, and Redis. Everything is connected by message buses powered by Apache Kafka and RabbitMQ. We are a small and strong team of under 50 engineers and an Engineering Intern at Chartbeat, you will have the opportunity to work with our core engineering team responsible for building, scaling, and maintaining our data systems, front end, analysis engines, and APIs. 

Intern Job Description

As an engineering intern at Chartbeat, you will be on a small cross-functional scrum team (typically, a few engineers, a designer, a data scientist, and a product manager) that will define your day-to-day activity — your team will collaborate to plan sprint goals and execute on those. As a member of the larger engineering organization, you’ll participate in team meetings, demos, tech talks, discussions and learning/teaching opportunities. You will work closely with a mentor, who will help you build and deploy our products. Candidates are expected to have experience in one of our preferred coding languages given below, basic knowledge of working with version control software (git) and project management tools such as jira. 

Frontend Engineering Internship 

Preferred Skills: React or Angular, JavaScript

Chartbeat’s intuitive and powerful software has long empowered media brands to use their own data to build loyal audiences across desktop, social, and mobile platforms. With easy-to-use real-time and historical analytics, in-page optimization and testing tools, and unique insights into audience engagement, Chartbeat’s products bring value to editorial, product, and business teams. 

In 2023, Chartbeat acquired Tubular Labs, a leader in global social video intelligence and measurement. Tubular provides a unified view of the shifting values and interests of audiences across YouTube, Instagram, Facebook, TikTok and Twitch. Together, we’re expanding the ecosystem of insights we provide to enterprise content creators who are developing audiences and revenue streams across channels. 

The data we process each day is massive in scale, Chartbeat’s products measure nearly 100 billion pageviews each month, over 1 million messages pass through our data systems each second and support measuring tens of millions of concurrent visitors across our customers’ sites. At Tubular, we have empowered 5,000+ creators and 200+ enterprise customers to create content with confidence, improve their organic and paid promotion, find and partner with influencers, and report it all out efficiently. Tubular analyzes the engagement of the world of digital video viewers and tracks 7+ billion videos and live streams across all major social platforms.

The Tech Stack and Team

Our Engineering systems use an exciting array of technologies. Most of our backend systems use Python and the frontend uses React, Angular and JavaScript. We also use a variety of database technologies, including PostgreSQL, Snowflake, Redshift, and Redis. Everything is connected by message buses powered by Apache Kafka and RabbitMQ. We are a small and strong team of under 50 engineers and an Engineering Intern at Chartbeat, you will have the opportunity to work with our core engineering team responsible for building, scaling, and maintaining our data systems, front end, analysis engines, and APIs. 

Intern Job Description

As an engineering intern at Chartbeat, you will be on a small cross-functional scrum team (typically, a few engineers, a designer, a data scientist, and a product manager) that will define your day-to-day activity — your team will collaborate to plan sprint goals and execute on those. As a member of the larger engineering organization, you’ll participate in team meetings, demos, tech talks, discussions and learning/teaching opportunities. You will work closely with a mentor, who will help you build and deploy our products. Candidates are expected to have experience in one of our preferred coding languages given below, basic knowledge of working with version control software (git) and project management tools such as jira. 

QA Engineering Intern

Preferred Skills: Basic knowledge of Python, React, Angular, JavaScript

Job Description:

B12's engineering team views software as a craft, but improving the world as the reason to practice it. Our engineers are responsible for prioritizing, conceptualizing, co-designing, building, testing, and engaging users for any concept we are building out. We’re generalists in encouraging each other to experience the full stack, but we’re also aware of each other’s preferences in the stack. For this role in particular, we’re searching for a full-stack engineer who brings strong backend skills (and an interest in using them) to the product. We mentor and teach where we can, both inside and outside of the company.

We value sharing our work with the outside world. Our team has published papers on forming expert flash teams and machine-mediated worker hierarchies. We’ve baked our research into Orchestra, the system that coordinates our expert and machine teams, and released Orchestra into open source to contribute our software back to the community.

We hope our engineers have more longevity than any one tool we use, but here is a sampling of our current thoughts about technology:

• We live on Python/Django and TypeScript/React.
• We store blobs in Amazon’s S3, munch on them in Amazon’s EC2, develop in Docker, and deploy containers to Amazon’s Elastic Beanstalk.
• We believe PostgreSQL should be the first system you consider when thinking about persisting structured data.
• We clean and centralize data in Amazon’s Redshift, and are able to answer almost any question in SQL.
• We leverage AI in our product and our internal tooling, and faced with a landscape in constant flux, try to pick the right model or agent on a task-by-task basis.
• We have near-full test coverage on the backend, and are making progress on our frontend and integration tests.
• We set up continuous integration and deployment because, while this model comes with its own pains, we’ve disliked being on fixed release schedules on previous projects.
• We like to move fast and support point-in-time recovery :).

You’d be a good fit if

• You have at least 4 years of experience building products and systems in production.
• You are an amazing communicator.
• You feel comfortable managing your time and deciding among competing priorities.
• You are passionate about the future of work.
• You enjoy learning and teaching.
• You have some mobile experience.
• You are comfortable working with backend and frontend technologies, but have a deeper background and interest on the backend side.
• You care about and want to contribute to our mission of helping people do meaningful work.

Don’t fear:

• We're somewhat flexible on the number of years of previous experience for this role. We highly favor talent and interest.
• Some candidates may see this list and feel discouraged because they don’t match all the items. Please apply anyway: there’s a good chance you’re more wonderful than you think you are.
• B12 is a safe place for human beings. We particularly encourage you to apply if you identify as a woman, are a person of color or other underrepresented minority, or are a member of the LGBTQIA community.

How to apply

Please provide:

• A pointer to your CV, resume, LinkedIn profile, or any other summary of your career so far.
• If you have a profile on websites like GitHub or other repositories of open source software, you can provide that as well. If you don’t have one, it’s still very possible for us to get along just fine!
• In addition to the traditional application details, we also ask that you complete a small technical challenge below. Two notes:
  • By virtue of submitting your application via a public platform like GitHub, it's possible for people to search for projects with "B12" in the repository name/description/contents and see that you have applied. You can obfuscate these details for your privacy, but contact us if you could benefit from a slightly different process to further protect your privacy.
  • We’ve never tried a “write code to apply to B12” exercise before, and introduced it because of a recent deluge of AI-generated/AI-mediated applications that has made reviewing inbound applications infeasible for us. We hope that introducing this exercise results in a smaller number of qualified candidates without serving as too much of an impediment. You are welcome to use AI assistance on this exercise (we did!). We imagine we’ll iterate on this experiment, and very much welcome your feedback on your experience.

To submit an application, create the following Python script that is executed via a GitHub Action (or continuous integration on any other Git forge). The script should:

• POST to https://b12.io/apply/submission with the following JSON-encoded payload in the body. All fields are required:
  

  {

    "timestamp": "2026-01-06T16:59:37.571Z",

    "name": "Your name",

    "email": "you@example.com",

    "resume_link": "https://pdf-or-html-or-linkedin.example.com",

    "repository_link": "https://link-to-github-or-other-forge.example.com/your/repository",

    "action_run_link": "https://link-to-github-or-another-forge.example.com/your/repository/actions/runs/run_id"

  }

  • Make the timestamp an ISO 8601 timestamp
  • The action_run_link is a page similar to https://github.com/marcua/ayb/actions/runs/20561457327 (might differ if you’re using a forge other than GitHub), which allows us to see the continuous integration run that POSTed to B12
  • We’ve pretty-printed for readability here, but the post body should contain no extra whitespace (compact separators), have keys sorted alphabetically, and be UTF-8-encoded. For example, the canonicalized payload above is
    {"action_run_link":"https://link-to-github-or-another-forge.example.com/your/repository/actions/runs/run_id","email":"you@example.com","name":"Your name","repository_link":"https://link-to-github-or-other-forge.example.com/your/repository","resume_link":"https://pdf-or-html-or-linkedin.example.com","timestamp":"2026-01-06T16:59:37.571Z"}

• Include a header called X-Signature-256 in the post request
  • The value of the header should be sha256={hex-digest}, where the hex digest is the HMAC-SHA256 of the raw UTF-8-encoded JSON request body, using the signing secret as the key.
  • Use a signing secret of hello-there-from-b12 (yes, it’s public, but treat it like a secret in your implementation ;))
  • As an example, the payload above will have a hex digest of c5db257a56e3c258ec1162459c9a295280871269f4cf70146d2c9f1b52671d45
• If the POST is successful, you will receive an HTTP 200 with a response of
  '{"success": true, "receipt": "your-submission-receipt"}'
  • Print that receipt in your continuous integration task
  • To confirm your submission, copy/paste the receipt into the field below

Data Engineer

$100k - $140k

Who We Are.

Wynd Labs is an early-stage startup that is on a mission to make public web data accessible for AI through contributions to Grass.

Grass is a network sharing application that allows users to share their unused bandwidth. Effectively, this is a residential proxy network that directly rewards individual residential IPs for the bandwidth they provide. Grass will route traffic equitably among its network and meter the amount of data that each node provides to fairly distribute rewards.

In non-technical terms: Grass unlocks everyone's ability to earn rewards by simply sharing their unused internet bandwidth on personal devices (laptops, smartphones).

This project is for those who lead with initiative and seek to challenge themselves and thrive on curiosity.

We operate with a lean, highly motivated team who revel in the responsibility that comes with autonomy. We have a flat organizational structure, the people making decisions are also the ones implementing them. We are driven by ambitious goals and a strong sense of urgency. Leadership is given to those who show initiative, consistently deliver excellence and bring the best out of those around them. Join us if you want to set the tone for a fair and equitable internet.

The Role.

We are seeking a Data Engineer with expertise in building and maintaining robust data pipelines and integrating scalable infrastructure. You will join a small, talented team and play a critical role in designing and optimizing our data systems, ensuring seamless data flow and accessibility. Your contributions will directly support our mission to position Grass as a key player in the evolution of data-driven innovation on the internet.

Who You Are.

• Bachelor’s degree in Computer Science, Information Systems, Data Engineering, or a related technical field.
• Extensive experience with database systems such as Redshift, Snowflake, or similar cloud-based solutions.
• Advanced proficiency in SQL and experience with optimizing complex queries for performance.
• Hands-on experience with building and managing data pipelines using tools such as Apache Airflow, AWS Glue, or similar technologies.
• Solid understanding of ETL (Extract, Transform, Load) processes and best practices for data integration.
• Experience with infrastructure automation tools (e.g., Terraform, CloudFormation) for managing data ecosystems.
• Knowledge of programming languages such as Python, Scala, or Java for pipeline orchestration and data manipulation.
• Strong analytical and problem-solving skills, with an ability to troubleshoot and resolve data flow issues.
• Familiarity with containerization (e.g., Docker) and orchestration (e.g., Kubernetes) technologies for data infrastructure deployment.
• Collaborative team player with strong communication skills to work with cross-functional teams.

What You'll Be Doing.

• Designing, building, and optimizing scalable data pipelines to process and integrate data from various sources in real-time or batch modes.
• Developing and managing ETL/ELT workflows to transform raw data into structured formats for analysis and reporting.
• Integrating and configuring database infrastructure, ensuring performance, scalability, and data security.
• Automating data workflows and infrastructure setup using tools like Apache Airflow, Terraform, or similar.
• Collaborating with data scientists, analysts, and other stakeholders to ensure efficient data accessibility and usability.
• Monitoring, troubleshooting, and improving the performance of data pipelines and infrastructure to ensure data quality and flow consistency.
• Working with cloud infrastructure (AWS, GCP, Azure) to manage databases, storage, and compute resources efficiently.
• Implementing best practices for data governance, data security, and disaster recovery in all infrastructure designs.
• Staying current with the latest trends and technologies in data engineering, pipeline automation, and infrastructure as code.

Why Work With Us.

• Opportunity. We are at at the forefront of developing a web-scale crawler and knowledge graph that allows ordinary people to participate in the process, and share in the benefits of AI development.
• Culture. We’re a lean team working together to achieve a very ambitious goal of improving access to public web data and distributing the value of AI to the people. We prioritize low ego and high output.
• Compensation. You’ll receive a competitive salary and equity package.

Data Engineer

$100k - $140k

Who We Are.

Wynd Labs is an early-stage startup that is on a mission to make public web data accessible for AI through contributions to Grass.

Grass is a network sharing application that allows users to share their unused bandwidth. Effectively, this is a residential proxy network that directly rewards individual residential IPs for the bandwidth they provide. Grass will route traffic equitably among its network and meter the amount of data that each node provides to fairly distribute rewards.

In non-technical terms: Grass unlocks everyone's ability to earn rewards by simply sharing their unused internet bandwidth on personal devices (laptops, smartphones).

This project is for those who lead with initiative and seek to challenge themselves and thrive on curiosity.

We operate with a lean, highly motivated team who revel in the responsibility that comes with autonomy. We have a flat organizational structure, the people making decisions are also the ones implementing them. We are driven by ambitious goals and a strong sense of urgency. Leadership is given to those who show initiative, consistently deliver excellence and bring the best out of those around them. Join us if you want to set the tone for a fair and equitable internet.

The Role.

We are seeking a Data Engineer with expertise in building and maintaining robust data pipelines and integrating scalable infrastructure. You will join a small, talented team and play a critical role in designing and optimizing our data systems, ensuring seamless data flow and accessibility. Your contributions will directly support our mission to position Grass as a key player in the evolution of data-driven innovation on the internet.

Who You Are.

• Bachelor’s degree in Computer Science, Information Systems, Data Engineering, or a related technical field.
• Extensive experience with database systems such as Redshift, Snowflake, or similar cloud-based solutions.
• Advanced proficiency in SQL and experience with optimizing complex queries for performance.
• Hands-on experience with building and managing data pipelines using tools such as Apache Airflow, AWS Glue, or similar technologies.
• Solid understanding of ETL (Extract, Transform, Load) processes and best practices for data integration.
• Experience with infrastructure automation tools (e.g., Terraform, CloudFormation) for managing data ecosystems.
• Knowledge of programming languages such as Python, Scala, or Java for pipeline orchestration and data manipulation.
• Strong analytical and problem-solving skills, with an ability to troubleshoot and resolve data flow issues.
• Familiarity with containerization (e.g., Docker) and orchestration (e.g., Kubernetes) technologies for data infrastructure deployment.
• Collaborative team player with strong communication skills to work with cross-functional teams.

What You'll Be Doing.

• Designing, building, and optimizing scalable data pipelines to process and integrate data from various sources in real-time or batch modes.
• Developing and managing ETL/ELT workflows to transform raw data into structured formats for analysis and reporting.
• Integrating and configuring database infrastructure, ensuring performance, scalability, and data security.
• Automating data workflows and infrastructure setup using tools like Apache Airflow, Terraform, or similar.
• Collaborating with data scientists, analysts, and other stakeholders to ensure efficient data accessibility and usability.
• Monitoring, troubleshooting, and improving the performance of data pipelines and infrastructure to ensure data quality and flow consistency.
• Working with cloud infrastructure (AWS, GCP, Azure) to manage databases, storage, and compute resources efficiently.
• Implementing best practices for data governance, data security, and disaster recovery in all infrastructure designs.
• Staying current with the latest trends and technologies in data engineering, pipeline automation, and infrastructure as code.

Why Work With Us.

• Opportunity. We are at at the forefront of developing a web-scale crawler and knowledge graph that allows ordinary people to participate in the process, and share in the benefits of AI development.
• Culture. We’re a lean team working together to achieve a very ambitious goal of improving access to public web data and distributing the value of AI to the people. We prioritize low ego and high output.
• Compensation. You’ll receive a competitive salary and equity package.