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

Evoplay is one of the leading iGaming providers, recognized for its innovative approach to game development and technological solutions. The key to this success is the teamwork of like-minded people who are passionate about a common goal and love games.

Our mission is to surprise not only the iGaming market but the entire entertainment industry with our interesting and unique products. Our game portfolio of 150+ titles, where each is a unique and exciting story, is presented all over the world, including Europe, Latin America, Asia, and the CIS.

We are looking for a strong specialist who goes beyond data processing — someone who understands the business behind the data and can influence decisions through analytics. This role requires autonomy, fast learning, and full ownership of data quality and analytical outputs.

Requirements

• Advanced Python and SQL (query optimization, complex data transformations, large-scale data handling)
• Hands-on experience with ClickHouse or other columnar databases
• Strong background in building ETL/ELT pipelines (ingestion, transformation, orchestration). Experience with Airflow is a plus.
• Solid understanding of Data Warehouse architecture
• Strong Data QA skills (identifying and resolving data issues)
• Experience with Power BI (building and maintaining reports)
• Ability to quickly understand business logic and translate it into data models
• High attention to detail
• English — B2 or higher (working proficiency)

Nice to Have

• Experience with data governance implementation
• Experience in high-load systems
• Experience working with product and business teams

Responsibilities

• Own data quality: identify, analyze, and fix data issues
• Translate business processes into reliable data structures
• Build and optimize ETL pipelines
• Deliver clean and structured data for analytics and BI
• Handle AdHoc analytical requests under tight deadlines
• Maintain and improve Power BI reporting
• Automate repetitive tasks
• Provide analytical support
• Train users on BI tools

What we offer

• Corporate psychologist;
• Gifts for significant occasions;
• Legal support;
• Flexible working hours;
• Direct access to C-level and opportunity to suggest new business ideas and drive changes.

If you are ready to work in a dynamic team, passionate about the product, technology, and the world of entertainment, we’re waiting for your CV and portfolio to schedule an online/offline meeting and get to know each other better!

Your CV will be carefully reviewed by our TA department, and if it meets the requirements of the position, we will contact you within 3 business days to discuss the possibility of scheduling an interview.

Bridgeway is seeking a Senior Data Engineer to design, develop, and maintain our data warehouse infrastructure. This role involves working closely with analysts, engineers, and other stakeholders to shape our data architecture, ensuring secure and efficient data pipelines, and enabling advanced analytics across the organization. The ideal candidate will have a strong background in data engineering, data warehousing, and ELT processes, along with a passion for optimizing data systems.

This is a remote position, with preference given to East Coast candidates.

Key Responsibilities:

• Design, develop, and maintain a scalable data warehouse/lakehouse environment.
• Design and implement ELT pipelines to ingest, transform, and deliver high-quality data for analytics and reporting, incorporating current best practices, such as “pipelines as code”.
• Ensure data security and compliance, including role-based access controls for security, encryption, masking, and governance best practices to ensure compliant handling of sensitive information.
• Optimize performance of data workflows and storage for cost efficiency and speed.
• Partner with engineers, analysts, and stakeholders to meet data needs; balance cost, performance, simplicity, and time-to-value while mentoring teams and documenting standards.
• Define and implement robust testing frameworks, enforce data contracts, and establish observability practices including lineage tracking, SLAs/SLOs, and incident response runbooks to maintain data integrity and trustworthiness.
• Monitor, troubleshoot, and resolve data & automation issues.
• Collaborate within an Agile-Scrum framework and develop comprehensive technical design documentation to ensure efficient and successful delivery.
• Serve as a trusted expert on organizational data domains, processes, and best practices.

Requirements:

• 5+ years of experience in data engineering and ELT with a focus on large-scale data platforms
• 3+ years of experience with Databricks
• Advanced proficiency in analytical SQL, including ANSI SQL, T-SQL, and Spark SQL
• Strong Python skills for data engineering
• Expertise in data modeling
• Hands-on experience with data quality and observability practices (tests, contracts, lineage tracking, alerts)
• Practical knowledge of orchestration tools and CI/CD concepts for data workflows
• Excellent communication and a track record of technical leadership and mentoring
• Strong understanding of integrating data solutions with AI and machine learning models
• Strong problem-solving skills and attention to detail.
• Experience with version control systems like Git preferred
• Strong understanding of data governance and best practices in data management, with hands-on experience using Unity Catalog
• Hands-on experience in designing and managing data pipelines using Delta Live Tables (DLT) on Databricks
• Streaming and ingestion tools, such as Kafka, Kinesis, Event Hubs, Debezium, or Fivetran
• DAX, LookML, dbt; Airflow/Dagster/Prefect, Terraform; Azure DevOps; Power BI/Looker/Tableau; GitHub CoPilot knowledge is a plus
• Bachelor’s degree in Computer Science, Information Technology, or a related field. Master’s degree preferred

Growe welcomes those who are excited to:

• Define key metrics and methodologies for Marketing and CRM analytics, align them with overall business goals, and assist in efficient decision-making;

• Identify opportunities and issues through data analysis, bring insights, and present them in an easy, actionable way;

• Work independently and autonomously, collaborating closely across Marketing, Finance, and Product to provide regular updates on the effectiveness of all marketing channels on the acquisition pipeline;

• Maintain data integrity from various sources, actively challenge and improve existing data flows;

• Contribute to the enhancement of accuracy, reliability, and overall data quality;

• Develop user-friendly Tableau dashboards to monitor primary Marketing and CRM KPIs, both existing and new;

• Recommend innovative ideas for optimizing marketing performance and efficiency;

• Lead automated reporting for timely and accurate information delivery.

We need your professional experience:

• At least 3 years of analytical experience, preferably in B2C marketing analytics;

• Understanding of multi-touch attribution mechanisms;

• Advanced proficiency in SQL;

• Proficiency in Tableau or similar tools;

• Solid statistical knowledge and experience in using statistics to analyze complex data;

• At least an Intermediate level of English;

• Familiarity with GIT and Airflow is a plus;

• Experience with Python libraries is also a plus.

We appreciate those skills and personal features:

• Capability to work self-sufficiently;

• Attention to detail and strong work ethic;

• Proactive and result-oriented mindset.

We are seeking those who align with our core values:

• GROWE TOGETHER: Our team is our main asset. We work together and support each other to achieve our common goals;

• DRIVE RESULT OVER PROCESS: We set ambitious, clear, measurable goals in line with our strategy and driving Growe to success;

• BE READY FOR CHANGE: We see challenges as opportunities to grow and evolve. We adapt today to win tomorrow.

Nosso Modo de Fazer no Time:

Transforme sua carreira com o iFood! Somos uma empresa brasileira de tecnologia referência na América Latina. Por meio de soluções inovadoras, conectamos milhares de restaurantes a milhões de consumidores diariamente com uma média de 100 milhões de pedidos mensais. Além do delivery de comida, também somos Mercado, Farmácia e Pet. Temos também o iFood Pago, nossa Fintech, que engloba o iFood Benefícios, o vale alimentação e refeição do iFood e o próprio iFood Pago, o banco do restaurante. Junte-se a nós e faça parte de uma equipe que está sempre à frente com tecnologia de ponta e inovação constante.

Seu Cardápio Diário:

• Colaborar com membros da equipe para coletar requisitos de negócio e projetar modelos de dados.

• Construir confiança em todas as interações e fornecer os dados mais completos, confiáveis e precisos para a empresa.
• Projetar, desenvolver e estender código ETL e pipelines de dados para expandir o Data Lake Empresarial.
• Criar e manter documentação de arquitetura e sistemas.
• Manter conjuntos de dados principais ou produtos de dados atualizados no Catálogo de Dados para apoiar análises de Self-Service e Fonte Única da Verdade.
• Desenvolver código que atenda aos nossos padrões internos de estilo, manutenibilidade e melhores práticas para um ambiente de dados de alta escala. Manter e defender esses padrões através de revisão de código.
• Aprovar mudanças em modelos de dados como Revisor da Equipe de Dados e ser responsável por conjuntos de dados específicos e esquemas de modelos de dados.
• Compartilhar expertise em modelagem e transformação de dados para todas as equipes do iFood através de revisões de código, pareamento e treinamento para ajudar a entregar designs e consultas otimizados e escaláveis de conjuntos de dados ou produtos de dados no Databricks. 

Ingredientes Que Buscamos:

• Disposição para aprender coisas novas todos os dias.
• Habilidade com SQL, Python e Spark.
• Excelente comunicação: Alcançar consenso regularmente entre equipes técnicas e de negócio.
• Capacidade demonstrada de comunicar de forma clara e concisa atividades complexas de negócio, requisitos técnicos e recomendações.
• 2+ anos na área de Dados como analista, engenheiro ou equivalente.
• 2+ anos de experiência projetando, implementando, operando e estendendo modelos de dados empresariais (dimensionais ou não).
• 2+ anos trabalhando com Banco de Dados ou Data Warehouse de grande escala, preferencialmente em ambiente de nuvem.
• Inglês técnico.
• Desejável: Experiência com Databricks, Airflow e AWS.

Para Realçar o Sabor:

• Experiência prática em inteligência artificial.
• Habilidade para gerar indicadores mensuráveis e identificar mudanças necessárias.
• Capacidade de se adaptar rapidamente a novas tecnologias e desafios.
• Interesse em promover a cultura de colaboração e troca de conhecimentos.

Buscamos uma pessoa apaixonada por tecnologia e dados, que esteja sempre em busca de novos aprendizados e que goste de desafios. Se você se identifica com este perfil, adoraríamos conhecer você!

We’re seeking a Data & AI Engineer to develop intelligent data pipelines and analytics solutions that power smarter decisions across silicon design, verification, and manufacturing. You’ll transform engineering data into actionable insights through automation, modeling, and visualization.

Responsibilities

• Build and maintain data pipelines to support machine learning and analytics workflows.
• Collect, clean, and transform large, complex datasets from engineering environments.
• Develop and train predictive models for yield, performance, and anomaly detection.
• Automate recurring data analysis tasks and integrate models into engineering processes.
• Collaborate with design and software teams to embed AI-driven insights into products.
• Create dashboards and visualization tools for reporting and decision-making.
• Document code, models, and processes for transparency and reproducibility.

Qualifications

• Proficiency in Python and ML frameworks (TensorFlow, PyTorch, Scikit-learn).
• Strong skills in data manipulation (Pandas, NumPy, SQL).
• Experience with workflow orchestration (Airflow, Spark, or similar).
• 3–5 years of experience in data engineering or applied AI.
• Bachelor’s degree in Electrical Engineering, Computer Science, or related field.

Preferred / Plus

• Familiarity with semiconductor design, verification, or manufacturing datasets.
• Understanding of statistical modeling and predictive maintenance.
• Experience with cloud environments (AWS, Azure, GCP) and version control (Git).
• Knowledge of MLOps principles (deployment, monitoring, CI/CD).

Job Description & Responsibilities

The Senior Lead Engineer Business Intelligence at OneSix works collaboratively to design and develop data-driven solutions that empower clients with actionable insights. This role is mission-critical, leading project teams, shaping project scopes, and working directly with clients to refine and implement BI strategies. While not a direct people manager, the Senior Lead Engineer serves as a technical team lead, providing mentorship, guidance, and strategic direction to team members to ensure successful project delivery. They are responsible for architecting scalable data solutions, optimizing analytics workflows, and leveraging best-in-class BI tools to solve our clients' most pressing challenges.

• Define and drive the BI strategy, ensuring alignment with business objectives.
• Lead and mentor a team of BI engineers, fostering a culture of innovation and continuous improvement.
• Collaborate with executives and key stakeholders to understand business needs and translate them into BI solutions.
• Design, implement, and optimize scalable data models and architectures for reporting and analytics.
• Oversee the development and maintenance of ETL pipelines, ensuring data integrity and performance.
• Manage cloud-based data platforms (AWS, Azure, GCP) and data warehousing solutions (Snowflake)
• Lead the development of enterprise-level dashboards, reports, and self-service BI tools.
• Implement and optimize BI solutions using Power BI, Tableau, Looker, or similar tools.
• Integrate advanced analytics, predictive modeling, and AI-driven insights into BI platforms.
• Establish and enforce BI best practices, including data governance, security, and documentation.
• Monitor and improve query performance, data processing efficiency, and system scalability.
• Ensure compliance with data privacy and security regulations.
• Work cross-functionally with data engineers, analysts, and business teams to align data strategies.
• Act as a key advisor on data-driven initiatives, influencing decision-making at the leadership level.
• Facilitate training and enablement programs to enhance BI adoption across the organization.

Experience, Qualification,  & Skills

• Bachelor's or Master’s degree in Computer Science, Information Systems, Data Analytics, or a related field.
• 6+ years of experience in business intelligence, data engineering, or a similar role.
• Expert-level proficiency in SQL, data modeling, and ETL development.
• Extensive experience with BI tools such as Power BI, Tableau, or Looker.
• Deep understanding of cloud data platforms (AWS, Azure) and data warehousing solutions.
• Strong programming skills in Python, R, or other scripting languages for data automation.
• Proven ability to lead teams and manage large-scale BI initiatives.
• Excellent problem-solving, strategic thinking, and stakeholder communication skills.
• Experience with machine learning, AI-driven analytics, or predictive modeling.
• Familiarity with data pipeline orchestration tools (Airflow, dbt, or similar).
• Knowledge of version control (Git) and CI/CD for data workflows.
• Background in Agile methodologies and project management.

Leadership & Soft Skills:

• Strong mentorship abilities and a passion for helping others grow.
• Ability to influence technical strategy without direct managerial authority.
• Effective communication skills to present complex ML concepts to diverse audiences.
• Problem-solving mindset and ability to work cross-functionally with different teams.

Compensation / Benefits

• Competitive compensation
• Company-paid medical, vision, dental, and wellness benefits for employees 
• Company-provided home office equipment
• Flexible vacation and sick days
• Team-oriented and supportive working environment   
• Company-sponsored events and swag

This position offers a base salary in the range of $140,000–$160,000 USD annually, depending on experience and location. Compensation may vary based on factors including geographic location, level of experience, skills, and performance. This salary range reflects base pay only and does not include any additional compensation such as bonuses, equity, or benefits.

OneSix provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, familial status, or any other characteristic protected by federal, state, or local laws. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training.

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.

Canonical is a leading provider of open source software and operating systems to the global enterprise and technology markets. Our platform, Ubuntu, is very widely used in breakthrough enterprise initiatives such as public cloud, data science, AI, engineering innovation and IoT. Our customers include the world's leading public cloud and silicon providers, and industry leaders in many sectors. The company is a pioneer of global distributed collaboration, with 1000+ colleagues in 70+ countries and very few roles based in offices. Teams meet two to four times yearly in person, in interesting locations around the world, to align on strategy and execution.

The company is founder led, profitable and growing. We are hiring Python and Kubernetes Specialist Engineers focused on Data, Workflows, AI/ML and Analytics Solutions to join our teams building open source solutions for public cloud and private infrastructure.

As a software engineer on the team, you'll collaborate on end-to-end data analytics and MLOps solutions composed of popular, open-source, machine learning tools, such as Kubeflow, MLFlow, DVC, and Feast. You may also work on ETL, data governance and visualization tools like Apache SuperSet, dbt, workflow orchestration tools such as Airflow and Temporal, or data warehouse solutions such as Apache Trino, or ClickHouse. These solutions may be run on servers or on the cloud, on machines or on Kubernetes, on developer desktops, or as web services.

We serve the needs of individuals and community members as much as the needs of our Global 2000 and Fortune 500 customers; we make our primary work available free of charge and our Pro subscriptions are also available to individuals for personal use at no cost. Our goal is to enable more people to enjoy the benefits of open source, regardless of their circumstances.

Location: This initiative spans many teams that are home-based and in multiple time zones. We believe in distributed collaboration but we also try to ensure that colleagues have company during their work hours! Successful candidates will join a team where most members and your manager are broadly in the same time zone so that you have the benefits of constant collaboration and discussion.

What your day will look like

• Develop your understanding of the entire Linux stack, from kernel, networking, and storage, to the application layer
• Design, build and maintain solutions that will be deployed on public and private clouds and local workstations
• Master distributed systems concepts such as observability, identity, tracing
• Work with both Kubernetes and machine-oriented open source applications
• Collaborate proactively with a distributed team of engineers, designers and product managers
• Debug issues and interact in public with upstream and Ubuntu communities
• Generate and discuss ideas, and collaborate on finding good solutions

What we are looking for in you

• Professional or academic software delivery using Python
• Exceptional academic track record from both high school and university
• Undergraduate degree in a technical subject or a compelling narrative about your alternative chosen path
• Confidence to respectfully speak up, exchange feedback, and share ideas without hesitation
• Track record of going above-and-beyond expectations to achieve outstanding results
• Passion for technology evidenced by personal projects and initiatives
• The work ethic and confidence to shine alongside motivated colleagues
• Professional written and spoken English with excellent presentation skills
• Experience with Linux (Debian or Ubuntu preferred) 
• Excellent interpersonal skills, curiosity, flexibility, and accountability
• Appreciative of diversity, polite and effective in a multi-cultural, multi-national organisation
• Thoughtfulness and self-motivation 
• Result-oriented, with a personal drive to meet commitments 
• Ability to travel twice a year, for company events up to two weeks long

Additional skills that would be nice to have

The following skills may be helpful to you in the role, but we don't expect everyone to bring all of them.

• Proven track record of building highly automated machine learning solutions, data pipelines, or orchestrating workflows for the cloud.
• Hands-on experience with machine learning libraries, or tools.
• Experience with container technologies (Docker, LXD, Kubernetes, etc.)
• Experience with public clouds (AWS, Azure, Google Cloud)
• Working knowledge of cloud computing
• Passionate about software quality and testing
• Experience working on an open source project

What we offer colleagues

We consider geographical location, experience, and performance in shaping compensation worldwide. We revisit compensation annually (and more often for graduates and associates) to ensure we recognise outstanding performance. In addition to base pay, we offer a performance-driven annual bonus or commission. We provide all team members with additional benefits, which reflect our values and ideals. We balance our programs to meet local needs and ensure fairness globally.

• Distributed work environment with twice-yearly team sprints in person
• Personal learning and development budget of USD 2,000 per year
• Annual compensation review
• Recognition rewards
• Annual holiday leave
• Maternity and paternity leave
• Employee Assistance Programme
• Opportunity to travel to new locations to meet colleagues
• Priority Pass, and travel upgrades for long haul company events

About Canonical

Canonical is a pioneering tech firm at the forefront of the global move to open source. As the company that publishes Ubuntu, one of the most important open source projects and the platform for AI, IoT and the cloud, we are changing the world of software. We recruit on a global basis and set a very high standard for people joining the company. We expect excellence - in order to succeed, we need to be the best at what we do. Most colleagues at Canonical have worked from home since its inception in 2004.​ Working here is a step into the future, and will challenge you to think differently, work smarter, learn new skills, and raise your game.

Canonical is an equal opportunity employer

We are proud to foster a workplace free from discrimination. Diversity of experience, perspectives, and background create a better work environment and better products. Whatever your identity, we will give your application fair consideration.

#LI-remote

Location: Remote (Global)

Role Overview

We are looking for a passionate and skilled Developer Advocate to join our team. If you're enthusiastic about empowering developers, thrive in technical communities, and excel at both technical communication and content creation, we'd love to hear from you.

Key Responsibilities

• Engage actively in the DataHub Slack community by answering technical questions, offering guidance, leading conversations, and fostering positive interactions.
• Create compelling technical content such as technical blog posts, tutorials, and video content to educate users about DataHub's features, integrations, and best practices.
• Deliver impactful technical presentations at conferences, webinars, and community events to promote DataHub and the broader metadata management ecosystem.
• Collaborate with DataHub's product and engineering teams to understand technical concepts deeply and translate them into clear, digestible content for diverse audiences.
• Develop and maintain example projects, sample code, and other resources to help developers succeed with DataHub.
• Identify opportunities to improve DataHub's developer experience and advocate for user needs within the engineering team.
• Partner with marketing to build campaigns that attract new developers and increase community engagement.

Required Qualifications

• Previous experience in a Developer Advocate role in the metadata or open source ecosystems.
• Hands-on experience using DataHub with technical expertise in data engineering and metadata management.
• Strong communication skills, both written and verbal, with a talent for simplifying complex technical concepts.
• Proven experience creating technical content such as blog posts, video tutorials, or documentation.
• Comfortable speaking at events, leading workshops, participating in podcasts, or hosting livestreams and webinars.
• Experience contributing to open-source projects and engaging with technical communities.
• Empathy and patience to help developers of varying skill levels succeed.
• Familiarity with data ecosystems (e.g., Apache Kafka, Spark, dbt, Airflow) is a plus.

If you are passionate about helping developers unlock the power of intelligent AI & data management, we want to hear from you! Apply today to become an integral part of the DataHub journey.

JJanea Systems (USA) is a dynamic team of the best & brightest software engineering specialists and solutions innovators, from around the world. From kernel to cloud, we provide high-impact software development services to Fortune 500 companies.
We are urgently looking an exceptionally talented Senior Machine Learning Engineer to join our rapidly growing consulting team. In this role, you will have the opportunity to work at the cutting edge of the software industry and help work on the client's internal AI/ML practice, as well as utilize your LLM, Data Engineering, ML, and ML Ops skills while working with a team of highly skilled professionals in the AI/ML domain.

• To be considered for this position, you must have the following qualifications:

  • Bachelor's or Master’s degree in Computer Science or a related field
  • 4+ years of experience as a Software Engineer, Platform Engineer, ML Engineer, Data Scientist, AI Engineer, or Data Engineer
  • Flexibility in experience with different programming languages and willingness to adjust to project needs
  • Strong knowledge of Python
  • Knowledge of machine learning algorithms, data pre-processing methods, and ML frameworks (such as PyTorch, TensorFlow, Keras)
  • Experience with containers and Kubernetes in cloud environments (AWS, MS Azure, or GCP)
  • Familiarity with data-oriented workflow orchestration frameworks (KubeFlow, Airflow, Argo)
  • Understanding of software testing, benchmarking, and continuous integration principles
  • Ability to translate business needs into technical requirements
  • Excellent communication and problem-solving skills, with the ability to break down complex challenges and develop innovative solutions
  • Being self-motivated and adaptable, with the ability to work effectively in fast-paced, dynamic environment
    
    
  Ideal candidates will also have:
  • Familiarity with agent frameworks (such as Langchain, Langgraph, IllamaIndex)
  • Familiarity with developing RAG systems
  • Experience with Natural Language Processing (NLP)
  • Familiarity with monitoring tools (such as DataDog or Langfuse)
  • Any associate cloud certification (AWS preferred)
  Responsibilities:
  • Design scalable data pipelines and infrastructure for enterprise ML systems
  • Implement ML models and systems into production
  • Collaborate with data scientists and software engineers
  • Deploy scalable tools and services for machine learning training and inference
  • Evaluate new technologies to improve ML system performance and reliability
  • Apply software engineering best practices, including CI/CD, to ML development
  • Facilitate the development and deployment of ML proof-of-concepts
  • Review, refactor, optimize, containerize, deploy, version, and monitor ML models
  • Implement monitoring and alerting solutions to ensure the reliability and performance of machine learning systems
  • Optimize and automate the machine learning deployment process to ensure efficiency and reproducibility
  • Collaborate with cross-functional teams to troubleshoot and resolve issues related to machine learning deployments
  • Stay updated with industry trends and apply knowledge to drive innovation
  • Promote industry best practices and enhance team expertise
    
    
  Why join Janea? Because world-class talent deserves world-class opportunities. What we offer:
  • Competitive compensation with benefits, paid vacation, and sick leave.
  • The opportunity to work with a globally diverse team of top engineering talent on the industry’s toughest engineering challenges.
  • Ultra-flexible working conditions – we provide a generous office equipment allowance so you can work from home, we can also provide you with a desk at an office/coworking facility near you, or use both. No business travel necessary.
  • An enjoyable, start-up work environment, with excellent opportunities for professional growth and development.
  • Flexible working hours – as a remote-first company, our focus has always been on getting the job done well, not when or where it gets done.
   

#LI-DNI

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.