Sr. Data Engineer
COMPANY OVERVIEW
At the forefront at 0x, we are driven by our commitment to simplifying access to tokens and liquidity. Our team comprises a diverse group of talented individuals from renowned companies such as Coinbase, Google, and Meta. As a global and remote-first organization, our team members are spread across various continents, excluding Antarctica. As industry pioneers, we have played a pivotal role in shaping Ethereum standards, notably contributing to the NFT token standard (ERC721).
By coming aboard, you will play a vital role in revolutionizing global value exchange. Our dedication lies in the transformative power of open-source software and decentralized technology as agents for equality worldwide. Our technological solutions are leveraged by leading projects in the realms of internet advancement and economic progress.
Established in 2017, 0x is the driving force behind the 0x protocol - a decentralized exchange backbone that is open-source and globally accessible. Additionally, we continually refine and enhance our offerings, including Matcha - a premier token search engine, and 0x API - a platform for aggregated liquidity across diverse chains. Through these initiatives, 0x remains committed to realizing a tokenized world where value flows freely at optimal prices and minimal transaction costs, thereby simplifying access to decentralized markets across Web3's myriad layers.
Currently supporting nine major blockchains, including Ethereum, Polygon, Fantom, Avalanche, and others, 0x's ecosystem is rapidly expanding. Integrations with various top wallets and apps are already in place, including MetaMask, Coinbase Wallet, Polygon Wallet, and more, establishing 0x as the go-to standard for decentralized exchanges.
We operate as a remote-first company, with key contributors residing in almost ten countries and spanning over twice as many cities. Despite having headquarters in San Francisco, all team members have access to an office to utilize as needed. Irrespective of your location, we welcome applications from individuals worldwide.
YOUR ROLE AS A DATA ENGINEER AT 0X
As a Data Engineer with 0x, you will have a unique opportunity to influence the organization's culture and methodologies. Thriving in uncertain environments, you excel in formulating innovative solutions and concepts. Your drive to propel both 0x and the wider Ethereum community through data is exceptional. Serving as the key guardian for organizational data, you are committed to upholding high data standards and are proactive in enhancing data hygiene. Your ability to analyze vast datasets to support product decisions and company strategy is unmatched, and you communicate these findings effectively both internally and externally. Working with cutting-edge tech and resolving challenges without set guidelines inspire you. The data engineering team's primary responsibility is maintaining and upgrading tools that extract blockchain data, presenting it to internal and external teams. Collaborating with Data Scientists, Product Managers, and Engineers, you will bridge business requirements, translating them into valuable recommendations and strategies. An ideal candidate should be enthusiastic about constructing solutions from scratch in a fast-paced setting.
RESPONSIBILITIES
- Work in conjunction with Data Team, Product Managers, and Engineers to enhance data accessibility for informed decision-making.
- Devise and manage scalable ETL pipelines catering to real-time and batch data processing needs.
- Contribute to the evolution of 0x Data APIs, focusing on scalability and security protocols.
- Establish and maintain data observability standards.
- Make meaningful contributions to both the 0x and broader Ethereum communities.
- Cultivate an innovation-centric culture by exploring new technologies and methodologies in data engineering and blockchain.
- Identify and execute process enhancements and automation to improve data management and analytical efficiency.
- Mentor team members to foster professional growth and a collaborative team environment.
- Demonstrate experience in developing data-centric APIs for both internal and external users.
**: Place additional specific details or preferred requirements here. Use a list if necessary. *REQUIREMENTS*
- Showcase a passion for decentralization benefits and the 0x mission.
- Align with our core values by consistently doing the right thing, shipping on time, and creating enduring value.
- Possess over 5 years of relevant Data Engineering experience.
- Exhibit a minimum of 1 year working with Ethereum.
- Proven experience in crafting and maintaining resilient data pipelines.
- Familiarity with Apache Kafka or related data pub/sub systems.
- Proficient in Data Modeling and Architecture.
- Solid programming foundation, preferably in Python, TypeScript, Node, or Go.
**: Include optional Preferred qualifications using the same format. *PREFERRED*
- Proficiency with cloud platforms such as AWS, Microsoft Azure, or Google Cloud.
- Experience in examining, cleaning, and generating reports using blockchain data.
- Familiarity with Apache Airflow.
- Proficient in creating and maintaining Data APIs for various users.
- Knowledge of deploying projects via Docker or Kubernetes.
- Experience with PostgreSQL or other RDBMS, as well As Clickhouse or other Analytical Database/Platform.
BENEFITS
We offer a competitive base salary ranging from xx to xx, equity, ZRX tokens, as well as comprehensive benefits. Individual pay scales are determined by various factors like job-related skills, location, and candidate preferences between different compensation elements. Our benefits cover comprehensive insurance (medical/dental/vision/life/disability) for both you and your dependents, retirement plans (401k, HSA, FSA for U.S.-based employees), monthly stipends for wellness, and more. Full details are provided in the comprehensive benefits package.
With 0x and its affiliates' commitment to promoting diversity, inclusion, and belonging, we uphold equal opportunity employment practices. Decisions regarding hiring or employment are purely based on merit, without discrimination based on race, color, gender identity, religion, age, disability, or any other protected status under local, state, or federal laws. Additionally, qualified candidates with prior arrest or conviction records will be considered, aligning with San Francisco’s Fair Chance Ordinance and similar regulations.
Software Developer
Architect designers
Looking for 2D AutoCAD specialists to prepare detailed architectural and engineering drawings.
Payment: AUD $500–$1,200 per project
Full-time Hackintosh iOS development
Responsibilities:
- Designing, developing, and implementing iOS applications for our Hackintosh platform
- Collaborating with cross-functional teams to define, design, and ship new features
- Troubleshooting application bugs and implementing solutions
- Ensuring the performance, quality, and responsiveness of applications
- Staying up-to-date with the latest industry trends and technologies
- Providing technical support and guidance to users as needed
Requirements:
- Proven work experience as an iOS Developer or similar role
- Proficient in Objective-C, Swift, and Xcode
- Strong understanding of iOS development best practices
- Excellent problem-solving skills
- Ability to work independently and as part of a team
- Strong communication and interpersonal skills
- Knowledge in web, mobile, and software development, engineering & architecture, customer service, and accounting and consulting specialist
If you are passionate about iOS development and eager to work on innovative projects in the Hackintosh space, we'd love to hear from you. Please apply with your resume and portfolio to be considered for this exciting opportunity.
Senior Data Engineer (432)
Ubiminds is a people-first company that collaborates with American software product firms to expand their development capabilities by handpicking elite talent from Brazil. They offer a unique mix of staff augmentation and employer-of-record services.
Ubiminds is aiding a rapidly growing technology and data company focused on APIs, developing modern quoting, enrollment, and member-management solutions for the health insurance and employee benefits sector. They are in the process of expanding their engineering team and introducing new ML/AI-powered features across their platform.
Job Responsibilities:
Take the lead in all ML/AI engineering initiatives as the primary dedicated member in this domain.
Develop, deploy, and deliver ML/AI-driven functionalities across various products.
Collaborate closely with Product, Engineering, and Operations to identify lucrative opportunities and transform them into operational systems.
Manage the complete lifecycle of ML solutions including problem definition, prototyping, modeling, deployment, monitoring, and ongoing enhancement.
Set up best practices, tools, and standards for ML/AI development, experimentation, and visibility.
Enhance data pipelines and feature repositories to support robust ML workloads.
Partake in architecture assessments, roadmap planning, and cross-team coordination.
Mentor colleagues on ML/AI concepts and contribute to team growth as the ML/AI practice expands.
Contribute to a top-notch codebase by following TDD, conducting code reviews, and adhering to well-structured engineering practices.
Required Qualifications:
Proven experience in building and launching ML/AI systems in production environments.
Proficiency across the ML lifecycle - from data preparation to deployment and monitoring.
Hands-on familiarity with advanced AI methodologies such as LLMs and traditional ML algorithms.
8–10+ years of experience in software or ML engineering.
Proficient in at least one major ML/AI programming language (Python preferred).
Comfortable collaborating in a diverse engineering environment (team predominantly uses Ruby).
Skilled in building systems from ground zero in ambiguous settings with substantial autonomy.
Strong communication skills and keenness for transparent, positive collaboration.
Desired Skills:
Experience in designing ML feature stores, embedding retrieval systems, or ML observability frameworks.
Knowledge of data-intensive APIs, large-scale data pipelines, or high-throughput backend systems.
Exposure to infrastructure supporting ML workloads like orchestration and experiment tracking.
Previous experience in mentoring engineers or familiarizing stakeholders with ML/AI practices.
Passion for API-centric products and robust engineering regulations.
Team & Workplace Environment:
A collaborative, experienced engineering organization.
Emphasis on continuous improvement with practices like TDD, pair programming, and code reviews.
Strong partnership with Product for exploration, prioritization, and architecture design.
Addressing impactful challenges in data, APIs, and intelligent system design.
High autonomy in work, contemporary engineering methodologies, and a focus on technical excellence.
About Ubiminds:
Our Culture:
Prioritizing people's needs above all else.
Cultivating a culture of continual self-improvement.
Valuing initiative, ownership, and dedication.
Emphasizing teamwork and collective growth.
Delivering exceptional services and surpassing expectations.
Promoting openness, honesty, and transparency at all times.
Perks and Benefits:
Integrated into a product-focused company with full team support in various areas.
Possess your own MacBook as part of a remote-first policy.
Access to tech discussions, events, and an esteemed community of engineers.
Free English lessons with a native speaker to enhance language skills.
Referral incentive for recommending new team members.
Enjoy office amenities like snacks, massages, beverages, and games at the Florianópolis HQ.
Recruitment Process:
Initial chat with a Tech Recruiter about the role and your background.
Completion of a behavior and code assessment as part of the tech evaluation.
Assessment review by Ubiminds' CS Manager.
Interview with the Hiring Manager before receiving an offer.
Completion of a background check throughout the hiring process.
Engineering Manager (431)
Responsibilities include mentoring and developing engineers, ensuring high levels of productivity and reliability within the engineering teams, setting and maintaining engineering standards, leading team roadmaps and priorities in collaboration with other departments, designing and maintaining APIs, backend services, systems, and supporting user-facing experiences, overseeing partner integrations from start to finish, managing engineering tasks while also contributing technically when necessary, planning and executing work on monthly and quarterly timelines, liaising with external partners for efficient solutions, leading recruitment efforts, and facilitating team growth in multiple streams.
Key requirements include proven experience in leading engineering teams that consistently deliver production software, competence in balancing people management with technical contributions, expertise in designing and building scalable APIs, hands-on experience in developing AI or ML features/projects, adeptness in planning and executing projects over different time horizons, exceptional organization and collaboration skills, proficiency in English communication, and deep knowledge of Ruby or Rust programming languages.
Desirable qualifications include experience in regulated or data-heavy environments, familiarity with event-driven architectures or messaging systems, prior experience mentoring other tech leads or engineering managers, exposure to distributed or offshore team environments, and a background in platform or integration-driven product development.
The chosen candidate will demonstrate leadership over two engineering teams of varying seniority levels, emphasizing ownership, collaboration, autonomy, and continuous improvement within the teams. Benefits of this role include comprehensive healthcare coverage, FSA options, a flexible PTO policy, pre-tax commuting benefits, and a home office stipend for ensuring comfortable remote work arrangements.
The interview process involves an initial discussion with the Tech Recruiter, followed by the client's recruitment process, ultimately leading to a formal job offer. Ubiminds may utilize AI tools to aid in specific hiring processes, such as application review or resume analysis, although final decisions are made by human evaluators. For inquiries concerning data processing, candidates are encouraged to reach out for further clarification.