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

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.

Overview 

Velir x Brooklyn Data is seeking a Director of Data & AI Alliances to build and scale strategic partnerships across the modern data and AI ecosystem. This role will drive joint go-to-market initiatives, co-sell motions, and revenue growth with leading data platform providers. 

As a data and AI-led digital agency, Velir x Brooklyn Data partners with organizations to unify data, activate AI, and deliver intelligent digital experiences. This role will be responsible for strengthening Velir x Brooklyn Data's position within the data ecosystem and translating partner relationships into meaningful pipeline and revenue. 

The ideal candidate is both strategic and commercially driven, with deep experience building alliances with leading data, analytics, and AI platforms.

Responsibilities

Strategic Alliance Development 

• Build and manage Velir x Brooklyn Data’s strategic partnerships with leading data and AI platform providers, including Snowflake, Databricks, Domo, and dbt. 
• Identify and develop new alliance opportunities within the modern data stack ecosystem. 
• Strengthen Velir x Brooklyn Data’s positioning as a preferred services partner within partner ecosystems. 
• Identify and pursue “first-to-market” opportunities, including early adoption of new partner features, products, or capabilities. 

Revenue and Pipeline Generation 

• Develop and execute joint go-to-market strategies that generate pipeline and new business opportunities. 
• Work closely with Velir x Brooklyn Data’s sales and growth teams to support co-selling initiatives and partner-led opportunities. 
• Proactively track and register opportunities to ensure the organization receives appropriate credit for sourced opportunities and client consumption growth. 

Partner Relationship Management 

• Serve as the primary Velir x Brooklyn Data liaison with key partner executives and alliance leaders. 
• Establish and nurture executive relationships across partner organizations. 
• Maintain strong collaboration between Velir’s sales, marketing, and delivery teams and partner counterparts. 

Partner Event & Ecosystem Strategy 

• Lead Velir x Brooklyn Data’s strategy and execution for data and AI partner conferences, summits, and ecosystem events. 
• Identify and prioritize the most impactful partner events including Snowflake Summit, Databricks Data + AI Summit, Domo Palooza, and dbt Coalesce. 
• Develop pre-event go-to-market strategies to drive pipeline generation, partner alignment, and client engagement. 
• Coordinate internal preparation across sales, marketing, and delivery teams to ensure Velir x Brooklyn Data is positioned effectively throughout event preparation, execution, and follow up 
• Oversee execution of Velir x Brooklyn Data’s presence at partner events including executive meetings, speaking opportunities, joint marketing initiatives, and partner engagement activities. 
• Ensure strong post-event follow-up and pipeline conversion from meetings, leads, and partner introductions generated at these events. 

Joint Marketing & Market Positioning 

• Identify opportunities to showcase Velir x Brooklyn Data’s expertise in data, AI, and modern digital experience transformation. 
• Drive the development of early case studies and success stories that support partner adoption and strengthen market positioning. 
• Maintain visibility into partner product and feature roadmaps to proactively identify opportunities for early testing, case studies, and joint go-to-market efforts 

Enablement & Internal Alignment 

• Ensure teams are enabled on partner technologies and value propositions. 
• Align internal stakeholders on partner priorities and initiatives. 
• Support joint solution development and partner-aligned service offerings

Qualifications

Required Experience 

• 7+ years of experience in technology alliances, partnerships, or ecosystem leadership 
• Experience working with data platforms, analytics, or AI technology ecosystems 
• Proven success driving partner-sourced or partner-influenced revenue 
• Experience building joint GTM strategies and co-sell motions 

Preferred Experience 

• Background in data platforms, analytics, AI, or digital transformation services 
• Experience working with platforms including, but not limited to: 
  • Snowflake 
  • Databricks 
  • Domo 
  • dbt 
• Experience working in consulting, agency, or professional services environments 

Skills & Attributes

• Strategic partnership development 
• Executive relationship building 
• Revenue-focused alliance management 
• Strong communication and storytelling 
• Deep understanding of the modern data stack 
• Demonstrated curiosity about emerging data technologies. 
• Ability to work cross-functionally with sales, marketing, and delivery teams 

Physical Requirements 

• Frequent sitting at a desk performing work on a computer. 
• Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. 
• Travel will be required  

Please note that compensation packages are finalized after the interview process is concluded. We use a competency-based approach to base pay, which means it is based on the competencies and skills demonstrated for this role.

Within the P&C domain, this role supports modernization of the data ecosystem including transition from DHIC (DataHub/InfoCenter) to a CDA (Cloud Data Access) architecture that enables access to Guidewire base tables. The role contributes to building consolidated data assets combining Guidewire with legacy P&C mainframe systems.  Support the phased transition from DHIC reporting structures to CDA-based data access framework.  Experience with Guidewire platforms (PolicyCenter, BillingCenter, ClaimCenter) and familiarity with Guidewire data models.  Experience working with Guidewire DHIC and CDA (Cloud Data Access) frameworks required.  

This position has a wide degree of autonomy, and the incumbent must have the ability to move projects forward based on experience and industry standards.  The position is charged with:

•    Anticipating IT industry future directions and relates it to (Horace Mann) evolving needs This includes evolving enterprise data architecture and Guidewire platform capabilities.
•    Applying expertise for the development, specification and communication of the technology architecture that is applicable to their domain
•    Conforms and contributes to standards and environment needs
•    Flexibility to effectively provide leadership when called upon to provide some project management for single project involving their area of technical expertise
•    Works on multiple projects that require in-depth knowledge across multiple technical areas and business segments. Projects will include Guidewire data integration, P&C reporting solutions, and legacy system data consolidation.
•    Typically works on a defined set of solutions in all lifecycle stages for a particular business domain

This position is a seasoned subject matter expert in multiple technical roles. They must have the capacity to work on multiple projects as project leader or as the subject matter expert.

Challenges
•    Establishing, contributions to and team level enforcement of standards and processes
•    Interweaving technology enhancements into business initiatives
•    Proactively exploiting opportunities to improve the operation’s effectiveness and reduce cost
•    Keeping abreast of changes/innovations in the IT field and applying that knowledge in an effective and timely manner to Horace Mann IT practices
•    Establishing and communicating a cohesive technology direction in partnership with the business initiatives
•    Understanding and communicating how their portfolio cooperates and meets the needs of their business domain
•    Helping establish and communicate the changes needed to modernize the IT systems and business processes while maintaining operations and legacy support

Principle Accountabilities
•    Team conformance and contribution to standards
•    Technical solution planning to meet the needs of their business domain
•    Incorporating technology advancements into existing solutions
•    Communication
•    Team’s delivery of the technical portions of projects

Education and Experience 
Bachelor’s degree in Computer science, Information Systems, or other related field, Or equivalent work experience.  4-6 years of IT work experience in multiple IT areas 1-2 years of project management experience.  Must have a commitment to continuing education.  Appropriate industry certification (s) a plus.

Required Competencies
•    Excellent oral and written communication with a strong sense of professionalism and tact.  Must be able to communicate effectively to IT and Business.
•    Self-motivated and goal-oriented individual.  Demonstrated record of initiative,  record of initiative, adaptability and decision making.
•    Proven ability to seek out and solve problems; go beyond the obvious to gain performance
•    Strong project management skills and solid team-player

Technology Competencies
•    Experience required with Guidewire CDA and DHIC 
•    Experience preferred with Snowflake data platform and cloud data warehousing.
•    Experience preferred with dbt (data build tool) for data transformations, testing, and documentation.
•    Strong experience with Guidewire platforms with an understanding of the data model.
•    Strong working knowledge of dependencies between software development and infrastructure design.
•    Specific to targeted platform – Expert level working knowledge of development and debugging tools
•    Strong working knowledge of database design and query including advanced SQL development for large insurance datasets.
•    Strong working knowledge of SDLC and Project Life Cycle principles
•    Expert level working knowledge of platform specific code repository products
•    Specific to targeted platform – strong working knowledge of client-side and server-side scripting
•    Strong design and documentation skills using tools and techniques such as pipeline design patterns,  DB design, and infrastructure diagrams.

Pay Range:

• $105,200.00 - $147,950.00  

Salary is commensurate to experience, location, etc.

#VIZI 

#LI-LM1 

At Mammoth Growth, the Senior Analytics Engineer / Jr. Tech Lead focuses on building complex data infrastructure using dbt, Snowflake, and modern ELT tools while providing technical guidance and expertise. You'll design scalable data pipelines, implement governance frameworks, and leverage AI tools to optimize development workflows. The position requires hands-on technical work combined with code review responsibilities and team guidance.

What You'll Do

• Build complex data models using dbt with optimal performance and maintainability 
• Design and optimize Snowflake data pipelines leveraging advanced features for scalability
• Configure database environments, manage permissions, access control, and implement data governance frameworks
• Implement ELT processes using modern data stack tools such as Fivetran
• Write high-quality code following Git workflows, code reviews, and CI/CD practices
• Conduct data quality audits and implement automated testing frameworks
• Leverage AI tools (Claude, ChatGPT) to enhance development productivity and solution quality
• Apply prompt engineering and implement agentic workflows using MCPs
• Mentor Analytics Engineers I and II, providing technical guidance and code reviews 
• Collaborate with Technical Leads and Sr. Consultants on complex project decomposition and execution 
• Present technical solutions and audit findings to clients
• Independently manage project components while coordinating with cross-functional teams
• Support project planning with technical expertise and risk assessment

What You'll Bring

Technical Skills

• Advanced dbt proficiency with complex modeling, macros, and performance optimization
• Deep Snowflake expertise including architecture, optimization, and advanced features
• Hands-on experience with Fivetran and modern data stack ecosystem 
• Proficient in Git/GitHub workflows, branching strategies, and collaborative development
• Advanced SQL skills with query optimization and performance troubleshooting 
• Understanding of dimensional modeling and analytics engineering methodologies
• Experience with cloud environments and scalable solutions in AWS and/or GCP
• Familiarity with project management tools like Jira

AI & Innovation Skills

• Demonstrated experience with Claude, ChatGPT, and other LLM platforms
• Familiarity with agentic tools such as CoPilot, RooCode, and others
• Prompt engineering skills for code generation, documentation, and problem-solving
• Strong interest or direct experience in agentic workflows and Model Context Protocols (MCP)
• Ability to integrate AI tools into technical workflows

Professional Skills

• 5-7+ years of analytics engineering or data engineering experience
• Strong problem-solving abilities with complex technical challenges
• Excellent communication skills for technical and business stakeholders
• Experience mentoring junior team members
• Self-motivated with ability to work independently and collaboratively

Are you an experienced business consultant, project strategist and data technologist all wrapped-up into one?  If so, then you are exactly who we are looking for!

As a Senior Delivery Lead at Mammoth Growth, you will be responsible for overseeing multiple client engagements, ensuring project success from inception to completion. You will lead multidisciplinary teams implementing agentic AI-driven analytics and data engineering solutions while maintaining client satisfaction and project profitability.

What You’ll Do:

• Manage multiple concurrent client projects, ensuring they remain on schedule and within budget
• Serve as the primary client liaison, communicating effectively with both executive and technical stakeholders
• Lead implementation teams comprised of data engineers, analytics engineers, and AI specialists
• Lead sprint (or Kanban) planning and execution, driving agile practices that foster alignment, transparency, and accountability across the team
• Develop and manage project plans and roadmaps, ensuring clear timelines for upcoming initiatives while proactively identifying risks and mitigation strategies to keep delivery schedules on track
• Facilitate client workshops and discovery sessions to identify business requirements
• Ensure architecture decisions and data implementations meet business objectives 
• Present project progress and deliverables to client stakeholders with visual storytelling excellence
• Communicate project health to executive and account management teams, highlighting business value delivered, renewal risks, and opportunities for expansion or extension.
• Coach and mentor team members to enhance delivery capabilities

What You’ll Bring:

• 5+ years of experience in consulting or professional services, preferably in data analytics or AI implementation
• Proven track record of successful project delivery in data-driven environments
• Previous exposure to Snowflake, DBT, or similar modern data stack technologies preferred
• Strong understanding of analytics engineering and data engineering principles
• Excellent communication skills, with the ability to translate technical concepts to business stakeholders
• Experience building and presenting strategic roadmaps for data initiatives
• Background in managing multidisciplinary teams in an agile environment
• Bachelor's degree in a relevant field or equivalent work experience

What Sets You Apart:

• Demonstrated experience leveraging AI tools, particularly in marketing or analytics contexts
• Understanding of data privacy regulations and best practices
• Prior consulting experience in mid-market or enterprise environments
• Demonstrated ability to maintain client relationships while driving business outcomes
• History of successful on-time, on-budget project delivery

Ready to architect the future of data? We'd love to hear from you.

Why This Role is Different

Here at Mammoth Growth, we’re going beyond just building data pipelines, we're pioneering the future of AI-enhanced analytics engineering. Our team has developed custom workflows that combine our decade of best practices with cutting-edge AI capabilities. We've built a team, toolset and workflow that utilizes the best AI models to accelerate delivery while maintaining the quality standards we're known for.

As a Technical Architect, you'll be at the forefront of this transformation, working with our AI-enhanced tooling while guiding clients through complex data challenges. You'll define architecture, code hand in hand with agents, review code, and deliver solutions that exceed industry standards.

You will be immersing yourself in a contemporary data stack environment. While familiarity with tools like dbt, Snowflake, and BigQuery are vital, your ability to draw from broad experiences will be paramount.

What You’ll Do:

Technical Leadership

• Be the go-to expert in the room of how we are going to implement the solution
• Articulate and defend your recommendations
• Doing what it takes to move the project toward its goals
• Anticipate future problems and proactively mitigating them

Create Solutions

• Evaluate and document a client’s current systems
• Helping clients to realize their strategy and define their future roadmap
• Design and recommend new systems architecture
• Design the data architecture based on business requirements
• Design custom engineering integrations and solutions

Hands On Execution

• Build complex dbt implementations following medallion architecture patterns
• Design and implement model contracts, versioning strategies, and frameworks
• Conduct rigorous code reviews ensuring quality and testing coverage

What You’ll Need:

• Expert-level dbt proficiency: Complex modeling, macros, testing strategies, model contracts, state comparison, and performance optimization
• Deep cloud data warehouse experience: Extensive hands-on work with Snowflake AND BigQuery, including architecture, optimization, and advanced features
• Advanced SQL mastery: Query optimization, complex transformations, and performance troubleshooting
• Git proficiency: Branching strategies, PR workflows, CI/CD pipelines, and collaborative development practices
• Systems architecture: Proven experience designing and implementing scalable cloud-based data solutions
• Modern ELT architecture: Solid understanding of medallion architecture and evolving best practices
• Prompt engineering: Experience crafting detailed, effective prompts for LLMs
• AI Experience: understanding of top models and how to effectively implement them in development workflows. 

Qualities:

• Demonstrated ability to quickly assess, strategize, and resolve high-stakes situations with calm precision and efficiency
• Inquisitive with an attention to detail and ability to ask the right questions at the right time
• Independently organized; self-starter; ability to work with minimal direction
• Good communication / client facing skills / ability to work in a team environment
• Enjoy learning new tools to better solve new challenges

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.

The Role

Hone is looking for a Director, Business Intelligence to lead our BI function and manage a team of analysts supporting Finance & Operations, Product & Engineering, and Marketing & Customer Care. In this role, you will report to the Sr. Director, Data, Analytics, and Machine Learning and serve as a key thought partner in shaping how data informs decisions across the company.

You will own the BI roadmap and operating model, including self-service analytics, governance, stakeholder engagement, and delivery. This role is responsible for ensuring BI is both responsive to business needs and proactive in surfacing insights, while maintaining high standards for data quality, consistency, and usability.

This is a senior leadership role that blends strategy, people management, and hands-on analytical work.

Primary Responsibilities

Key responsibilities for this role include (but are not limited to) the following:

BI Strategy & Roadmap

• Define and own the Business Intelligence roadmap, aligning BI initiatives with company priorities and data strategy.
• Drive the evolution of BI from ad hoc reporting to a proactive, insight-driven function.
• Identify opportunities where BI can better inform strategic, operational, and clinical decisions.

Team Leadership & Development

• Lead and develop a team of ~3-5 analysts across multiple business domains and experience levels.
• Set clear expectations for quality, timeliness, and impact.
• Coach analysts on analytical rigor, stakeholder management, and storytelling.
• Support hiring, onboarding, and long-term team growth planning.

Self-Service BI & Governance

• Own the self-service BI strategy, enabling stakeholders to answer common questions independently.
• Establish and enforce BI governance, including metric definitions, data ownership, access controls, and documentation.
• Partner with data engineering and analytics engineering to ensure BI is built on trusted, well-modeled data.

Stakeholder Partnership & Delivery

• Act as the primary BI partner for senior leaders across Finance, Operations, Product, Marketing, and Customer Care.
• Intake, prioritize, and manage BI requests using a clear, transparent process.
• Balance short-term stakeholder needs with longer-term strategic initiatives.
• Ensure BI deliverables are clear, actionable, and decision-oriented.

Hands-On Analysis & Execution

• Remain engaged in hands-on work as needed, including building dashboards, reviewing analyses, and tackling complex or high-impact analytical problems.
• Ensure dashboards and reports meet high standards for accuracy, usability, and design.
• Lead or support deep-dive analyses that inform strategic decisions.

Operational Excellence

• Track team throughput, quality, and stakeholder satisfaction.
• Identify and address bottlenecks in BI workflows, tooling, or collaboration.
• Improve processes to increase speed, reliability, and impact.

Qualifications

In order to qualify for this role, candidates must meet the following criteria:

• 12+ years of experience in analytics, business intelligence, data, or a related field.
• 4+ years of experience managing and developing analytics or BI teams.
• Proven track record of owning BI strategy and delivering high-impact analytics at scale.
• Strong technical foundation in SQL and BI tools; ability to review and produce high-quality dashboards and analyses.
• Experience designing self-service BI solutions and metric governance frameworks.
• Strong project and stakeholder management skills, with the ability to juggle competing priorities.
• Experience partnering closely with senior leaders across multiple business functions.
• Excellent communication and data storytelling skills.
• Experience working with modern data stacks (e.g., dbt, cloud data warehouses, modern BI tools).
• Familiarity with product analytics, financial reporting, and operational metrics.
• Experience working closely with data engineering and machine learning teams.
• Exposure to experimentation or causal analysis frameworks.
• Experience in healthcare, telehealth, or other regulated industries.