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ai data engineer (agent platform)

big data engineer

ROLLER

<div>
 
 About ROLLER
 
 
 
 ROLLER is not your average software-as-a-service company. With a global presence in over 30 countries, we're here to bring some excitement to the leisure and attractions industry and make a difference! Our mission is to help businesses operate smoothly and create fun and memorable guest experiences by providing seamless ticketing, point-of-sale, self-serve kiosks, memberships and digital waiver processes.
 
 
 But here's the best part: our team. We're a group of 300+ highly passionate, enthusiastic, and down-to-earth professionals located all around the world who are all working together to build something truly remarkable. We're aiming high and believe that the possibilities are endless. As we continue to grow globally, we're excited to write our success story and have fun along the way.
 
 
 We genuinely love what we do, and we're looking for like-minded people to join us on this amazing journey. If you're ready to be part of a dynamic team and make a real impact, come aboard, and let's create some unforgettable experiences together at ROLLER!
 
 
 
 About the Role
 
 
 
 We are seeking a highly technical, hands-on
 
 Senior
 
 
 Data Engineer
 
 to architect and scale our data infrastructure from the ground up. As a core member of the data function within our Business Technology team, you will be responsible for building the pipelines and models that power smarter decision-making and operational efficiency across the entire organization.
 
 
 In this foundational role, you will build &amp; architect the
 
 modern data stack
 
 , ensuring our infrastructure is robust, automated, and governed. You collaborate as a technical partner with
 
 GTM
 
 
 ,Product, Finance, P&amp;C
 
 to build high-performance data models and pipelines that transform raw data into actionable cross-functional insights.
 
 
 Joining ROLLER at this pivotal growth stage, you will have the opportunity to make an outsized impact on our technical landscape, directly influencing how we process data to deliver world-class experiences for our customers globally.
 
 
 
 What You'll Do
 
 
 
 <ul>
 <li>
 
 Scalable Architecture:
 
 Design and implement robust Data Modeling and Architecture strategies that support high-volume data processing and maintain long-term scalability.
 </li>
 <li>
 
 Cloud Ecosystem:
 
 Develop and manage end-to-end data pipelines using Google Cloud Platform services, specifically leveraging Cloud Run, Cloud Function for compute, BigQuery for storage, and Cloud Composer (Airflow) for orchestration.
 </li>
 <li>
 
 Transformation Excellence:
 
 Build, maintain, and document complex data transformation layers using DBT (Data Build Tool) to ensure high data quality and reliability.
 </li>
 <li>
 
 Infrastructure as Code:
 
 Automate the provisioning of cloud resources using Terraform and streamline deployment workflows via GitHub Actions CI/CD pipelines.
 </li>
 <li>
 
 Cloud Data Warehousing:
 
 Demonstrate expert-level proficiency in managing and optimizing Cloud Data Warehouses, such as Snowflake &amp; BigQuery.
 </li>
 <li>
 
 Team Collaboration:
 
 Partner with cross-functional stakeholders to build and scale high-performing data infrastructure that supports engineering, analytics, and Data Program needs.
 </li>
 <li>
 
 Stack Management:
 
 Architect and maintain a modern data stack by implementing best-in-class tools including Snowflake, Bigquery, dbt, Fivetran, Looker, Tableau and Airflow.
 </li>
 <li>
 
 Pipeline Engineering:
 
 Develop scalable ETL/ELT workflows and robust data models to deliver real-time analytics and unified business reporting.
 </li>
 <li>
 
 Data Visualization: Create and maintain intuitive, high-performance Looker dashboards will be an added advantage.
 
 
 
 </li>
 </ul>
 
 About You
 
 
 
 You are a technical builder who views data as a competitive advantage. You thrive in fast-paced environments and have a proven track record of engineering scalable data foundations from the ground up. Equal parts
 
 architect and analytical problem-solver
 
 , you excel at balancing long-term technical vision with the daily hands-on execution of complex pipelines.
 
 
 You are energized by the full lifecycle of data&mdash;moving beyond just writing code to actively leading
 
 project discovery and analysis
 
 alongside cross-functional partners. You take pride in enabling GTM, Product, Finance &amp; P&amp;C teams through clear insights and high-performance systems. Most importantly, you are excited to act as a founding technical force for a high-growth SaaS company that is transforming the guest experience for attractions businesses globally.
 
 
 <ul>
 <li>
 
 5+ years of experience
 
 in Data &amp; Analytics or Data Engineering with a focus on Scalable cloud driven data pipeline build
 </li>
 <li>
 Proven experience in dimensional modeling (Star/Snowflake schema) and designing architectures that support both historical reporting and real-time needs.
 </li>
 <li>
 Expert-level proficiency in Snowflake or BigQuery, including performance tuning, cost optimization, and access control (RBAC).
 </li>
 <li>
 Hands-on experience with Google Cloud Platform services, specifically Cloud Function, Cloud Run for containerized workloads and Cloud Composer for orchestration.
 </li>
 <li>
 Through hands-on experience of dbt (Data Build Tool) to manage transformations, including writing custom macros, implementing tests, and generating documentation.
 </li>
 <li>
 Solid experience using Terraform to provision cloud resources, ensuring that infrastructure is version-controlled and reproducible.
 </li>
 <li>
 Proficiency in GitHub Actions to automate testing and deployment pipelines for data models and infrastructure.
 </li>
 <li>
 Ability to design high-performance dashboards that prioritize user experience and fast load times.
 </li>
 <li>
 Experience collaborating with Finance, GTM, and Product to define key metrics (like CAC, LTV, or Churn) and codifying them into the data layer.
 </li>
 <li>
 Familiarity with data ingestion tools like Fivetran , Airbyte, Workato, Mulesoft to sync data from various SaaS platforms into the warehouse.
 </li>
 <li>
 Operates as a full-stack Data Engineer with the technical authority to architect and build entire data lifecycles, from raw source ingestion to high-impact data visualization.
 </li>
 <li>
 
 Familiarity with business-critical systems
 
 like Salesforce, Chargbee, Gainsight, and product analytics tools.
 </li>
 <li>
 
 Strong communicator
 
 with a track record of working across technical and non-technical teams to drive alignment.
 </li>
 <li>
 You have a high appetite for Technology and AI and a natural curiosity for how it can transform your work. You're comfortable using AI tools to automate repetitive 'busy work,' freeing you up to focus on high-impact work.
 
 
 </li>
 </ul>
 We believe AI is a career-defining inflection point. ROLLER is a fast adopter of new technology like AI, and every team member is empowered to own their learning and use the latest tools to supercharge their impact. We're looking for candidates with the proficiency and curiosity to embrace AI and technology &mdash; not just as a technical skill, but as a core competency to help us achieve big goals
 
 
 
 Preferred Qualifications
 
 
 
 <ul>
 <li>
 Experience partnering with IT or Business Technology teams to drive cross-functional outcomes.
 </li>
 <li>
 Exposure to customer success and revenue workflows, such as onboarding journeys, renewal metrics, or support analytics.
 </li>
 <li>
 Familiarity with AI/ML pipelines and experimentation frameworks that support data-driven innovation.
 
 
 </li>
 </ul>
 Perks!
 
 
 <ul>
 <li>
 You'll get to work on a category-leading product that customers love in a fun, high-growth industry! Check our Capterra and G2 reviews.
 </li>
 <li>
 ROLLER Recharge days to celebrate and recharge once we've hit our goals
 </li>
 <li>
 Engage in our 'Vibe Tribe' - led by our team members; you can contribute to company-wide initiatives directly. Regular events and social activities, fundraising &amp; cause-related campaigns...you name it. We're willing to make it happen!
 </li>
 <li>
 Team Member Assistance Program to proactively support our team's health and wellbeing - access to coaching, education modules, weekly webinars, and more.
 </li>
 <li>
 16 weeks paid Parental Leave for primary carers and 4 weeks paid Parental Leave for secondary carers.
 </li>
 <li>
 Work with a driven, fun, and switched-on team that likes to raise the bar in all we do!
 </li>
 <li>
 Individual learning &amp; development budget plus genuine career growth opportunities as we continue to expand!
 
 
 </li>
 </ul>
 What You Can Expect
 
 
 <ul>
 <li>
 
 Initial call with our Talent Acquisition Manager
 
 You'll have an initial call with our Talent Acquisition Manager to chat through some of your experience to date, salary expectations and you can check off any initial questions you might have.
 </li>
 <li>
 
 Interview with the Hiring Manager
 
 You'll get to meet with the hiring manager to learn more about the role &amp; ROLLER whilst also talking through your experience in more detail.
 </li>
 <li>
 
 Loop Interviews
 
 This is where you will get to meet our wider ROLLER team to do a 'vibe check' on us to make sure our culture &amp; vibe meet what you are looking for!
 </li>
 <li>
 
 Offer
 
 If all lights are green and the fit feel right, we'll conduct reference checks and you'll receive an offer to join!
 </li>
 </ul>
</div>

Data Engineer

Twitch

<div>
 
 About Us
 
 
 
 Twitch is the world&rsquo;s biggest live streaming service, with global communities built around gaming, entertainment, music, sports, cooking, and more. It is where thousands of communities come together for whatever, every day.
 
 
 We&rsquo;re about community, inside and out. You&rsquo;ll find coworkers who are eager to team up, collaborate, and smash (or elegantly solve) problems together. We&rsquo;re on a quest to empower live communities, so if this sounds good to you, see what we&rsquo;re up to on LinkedIn and X, and discover the projects we&rsquo;re solving on our Blog. Be sure to explore our Interviewing Guide to learn how to ace our interview process.
 
 
 
 About The Role
 
 
 
 As a data engineer in the Data Platform organization, you will be transforming Twitch&rsquo;s largest data sets into offerings that are usable by the entire company. You&rsquo;ll be working with other senior team members, as well as other data engineers, scientists, and stakeholders from all across the business. You will help define how our core business metrics are managed, as well as how other parts of the company define their individual metrics.
 
 
 
 You Will:
 
 
 
 
 <ul>
 <li>
 Work closely with data scientists and engineers from across the company to define and create robust data architectures and pipelines
 </li>
 <li>
 Develop and manage scalable data pipelines to extract, transform, and load data from various sources
 </li>
 <li>
 Partner with a range of stakeholders to translate the company&rsquo;s needs into data offerings
 </li>
 <li>
 Automate data processing and reporting workflows to improve efficiency and data integrity
 </li>
 <li>
 Implement data quality checks and monitor processes to maintain high data accuracy
 </li>
 <li>
 Simplify and enhance the accessibility, clarity, and usability of large and complex datasets through the development of data cubes and data sharing solutions
 
 
 
 </li>
 </ul>
 
 You Have:
 
 
 
 
 <ul>
 <li>
 3+ year of experience working in a data engineering, data science, or software engineering capacity
 </li>
 <li>
 Expertise in writing and maintaining robust data pipelines in SQL and Python
 </li>
 <li>
 A track record of turning data requirements from stakeholders into actionable plans
 </li>
 <li>
 Experience with cloud-native solutions
 </li>
 <li>
 A history of implementing and upholding best practices in data pipelines, ensuring accuracy, consistency, and reliability
 
 
 
 </li>
 </ul>
 
 Bonus Points
 
 
 
 
 <ul>
 <li>
 Bachelor's degree, or Master's degree in computer science, statistics, information systems, or a related, technical field
 </li>
 <li>
 Experience with a scripting language (e.g., Python, Java, or R)
 </li>
 <li>
 Familiarity and interest in Twitch!
 
 
 
 </li>
 </ul>
 
 Perks
 
 
 
 
 <ul>
 <li>
 Medical, Dental, Vision &amp; Disability Insurance
 </li>
 <li>
 401(k)
 </li>
 <li>
 Maternity &amp; Parental Leave
 </li>
 <li>
 Flexible PTO
 </li>
 <li>
 Amazon Employee Discount
 
 
 
 </li>
 </ul>
 
 Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
 
 
 
 Job ID: TW9042
 
 
 The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life &amp; AD&amp;D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.
 
 
 US, CA, San Francisco
 
 
 $152,000&mdash;$205,600 USD
 
 
 
 Twitch is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
 
 
 
 
 Twitch values your privacy. Please consult our Candidate Privacy Notice, for information about how we collect, use, and disclose personal information of our candidates.
 
</div>

Cohere

<div>
 
 Who are we?
 
 
 
 Our mission is to scale intelligence to serve humanity. We&rsquo;re training and deploying frontier models for developers and enterprises who are building AI systems to power magical experiences like content generation, semantic search, RAG, and agents. We believe that our work is instrumental to the widespread adoption of AI.
 
 
 We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. We like to work hard and move fast to do what&rsquo;s best for our customers.
 
 
 Cohere is a team of researchers, engineers, designers, and more, who are passionate about their craft. Each person is one of the best in the world at what they do. We believe that a diverse range of perspectives is a requirement for building great products.
 
 
 Join us on our mission and shape the future!
 
 
 
 Why this role?
 
 
 
 We're building the foundational infrastructure that will define how the world thinks about and deploys AI, and we want the sharpest, most curious people to help us do it. As a member of our Analytics &amp; Data Insights team, you'll tackle the kind of problems that don't have textbook answers yet, launch products that didn't exist a year ago, and help enterprises understand what foundational AI actually means for their bottom line.
 
 
 
 As a Data Engineer, You Will
 
 
 
 <ul>
 <li>
 Work directly on storage infrastructure, product launches, and new customer experiences built on one of the most advanced AI systems in the world
 </li>
 <li>
 Collaborate daily with researchers and engineers who are some of the best in the world at what they do
 </li>
 <li>
 Run implementations end-to-end and see initiatives through to real outcomes &mdash; no waiting around to be told what to do
 </li>
 <li>
 Partner across research, marketing, sales, and finance to help define how Cohere grows, with your recommendations feeding directly into products and strategy
 
 
 </li>
 </ul>
 
 You May Be a Good Fit If You Have
 
 
 
 <ul>
 <li>
 5+ years of experience working on production-grade data processing systems
 </li>
 <li>
 Strong command of Python and SQL
 </li>
 <li>
 Experience with distributed data processing frameworks such as Apache Beam, Spark, or Flink
 </li>
 <li>
 The ability to transform unstructured data into performant datasets across diverse storage backends including S3, GCS, and POSIX
 </li>
 <li>
 Experience with modern orchestration platforms, especially Kubernetes (nice to have)
 </li>
 <li>
 Familiarity with modern analytics stack tooling such as BigQuery, Airflow, or dbt (nice to have)
 </li>
 <li>
 Knowledge of Java or Golang (nice to have)
 </li>
 <li>
 Genuine excitement about AI - you follow the research, have opinions, and enjoy being in the weeds
 </li>
 <li>
 Comfort operating at the edge of what's known, with a desire to build something genuinely new rather than optimise what already exists
 
 
 </li>
 </ul>
 If some of the above doesn&rsquo;t line up perfectly with your experience, we still encourage you to apply!
 
 
 We value and celebrate diversity and strive to create an inclusive work environment for all. We welcome applicants from all backgrounds and are committed to providing equal opportunities. Should you require any accommodations during the recruitment process, please submit an Accommodations Request Form, and we will work together to meet your needs.
 
 
 
 Full-Time Employees At Cohere Enjoy These Perks
 
 
 
 🤝 An open and inclusive culture and work environment
 
 
 🧑&zwj;💻 Work closely with a team on the cutting edge of AI research
 
 
 🍽 Weekly lunch stipend, in-office lunches &amp; snacks
 
 
 🦷 Full health and dental benefits, including a separate budget to take care of your mental health
 
 
 🐣 100% Parental Leave top-up for up to 6 months
 
 
 🎨 Personal enrichment benefits towards arts and culture, fitness and well-being, quality time, and workspace improvement
 
 
 🏙 Remote-flexible, offices in Toronto, New York, San Francisco, London and Paris, as well as a co-working stipend
 
 
 ✈️ 6 weeks of vacation (30 working days!)
</div>

Whatnot

<div>
 
 
 🚀 Join the Future of Commerce with Whatnot!
 
 
 
 
 Whatnot is the largest livestream shopping platform in North America and Europe to buy, sell, and discover the things you love. Whether it's trading cards, fashion, electronics, or live plants, our sellers are building real businesses across hundreds of categories. We're building live commerce at a scale that's never been done in the West, and there's no playbook to copy. The people here are shaping how an entirely new industry develops.
 
 
 As a remote co-located team, we're inspired by our values and anchored in hubs across the US, UK, Ireland, Poland, Germany, and Australia. We move fast, stay close to our users, and focus on the work that drives the most impact.
 
 
 We're one of the fastest growing marketplaces and were recently named the #1 Best Startup Employer in America by Forbes. Check out the latest Whatnot updates on our news and engineering blogs and join us as we enable anyone to turn their passion into a business and bring people together through commerce.
 
 
 
 💻 Role
 
 
 
 At Whatnot data engineers build foundational data systems that power product development, experimentation, machine learning, and operational decision-making across the company. As an Data Engineer on the Notifications Platform, you will play a critical role in owning and evolving one of the highest-volume and highest-impact data domains at Whatnot.
 
 
 Notifications generate hundreds of millions of events per day, and the underlying data systems support everything from ML iteration and experimentation to adhoc engineering debugging. In this role, you will define the technical direction for the Notifications data mart, harden it to production-grade reliability, and set new patterns for domain-owned data engineering.
 
 
 Working in a highly cross-functional role, you will collaborate closely with Product Engineers, Data Scientists, ML Engineers, and the Analytics Platform team. You&rsquo;ll make key architectural decisions around data modeling, reliability, latency, and cost &mdash; and then make them real.
 
 
 
 On Any Given Day, You Will
 
 
 
 <ul>
 <li>
 Own data architecture end-to-end. Define how we capture, model, and serve critical business data&mdash;then implement it in production. You&rsquo;ll make architectural decisions around storage formats, compute patterns, and SLAs that balance cost, scalability, and consistency.
 </li>
 <li>
 Build mission-critical pipelines. Develop and operate batch data workflows that process high-volume events related to notifications with tight guarantees for latency, completeness, and accuracy.
 </li>
 <li>
 Design and implement canonical models. Create domain-oriented data models that serve as the source of truth for analytics, ML, and production applications. Establish and enforce modeling standards, ownership boundaries, and data contracts across teams.
 </li>
 <li>
 Enforce data quality at scale. Build tests, lineage, monitoring, and reconciliation systems that make every dataset observable and every anomaly actionable.
 </li>
 <li>
 Automate operational workflows. Partner with business systems and platform teams to eliminate manual data handoffs and reconcile data across services, warehouses, and external systems.
 </li>
 <li>
 Enable insights and experimentation. Support analytics, ML, and product engineering teams by exposing high-quality, self-healing, maintainable data assets.
 
 
 </li>
 </ul>
 
 We offer flexibility to work from home or from one of our global office hubs, and we value in-person time for planning, problem-solving, and connection. Team members in this role must live within commuting distance of our New York, Seattle, Los Angeles, and San Francisco hubs.
 
 
 
 
 👋 You
 
 
 
 Curious about who thrives at Whatnot? We&rsquo;ve found that embodying a low ego, growth mindset, and high-impact drive goes a long way here.
 
 
 As our next Data Engineer, you bring deep experience designing reliable, scalable data systems and are excited to take true ownership of a complex product domain.
 
 
 You should have 5+ years of experience in the data or software engineering domain, plus:
 
 
 <ul>
 <li>
 Strong experience building and maintaining production-grade data pipelines with clear SLAs, monitoring, and alerting
 </li>
 <li>
 Deep expertise in SQL, including complex model graphs, dependency management, and performance optimization
 </li>
 <li>
 Are comfortable writing production-grade code in Python or SQL languages, and integrating with CI/CD and infrastructure-as-code workflows.
 </li>
 <li>
 Have deep hands-on expertise with modern data tooling across ingestion (e.g., Kafka, Debezium), transformation (dbt, Spark, Flink), orchestration (Dagster, Airflow), and observability (Monte Carlo, Great Expectations).
 </li>
 <li>
 Have operated cloud data warehouses such as Snowflake, BigQuery, or Redshift, including schema design, cost optimization, and workload tuning.
 </li>
 <li>
 Proven track record working with large-scale datasets (hundreds of millions of rows per day)
 </li>
 <li>
 Experience designing data models that balance analytics, ML, and operational debugging use cases
 </li>
 <li>
 Strong systems thinking &mdash; you consider correctness, latency, cost, and maintainability together
 </li>
 <li>
 Self-starter ethic, thriving under a high level of autonomy
 </li>
 <li>
 Exceptional interpersonal and communication skills in cross-functional environments
 
 
 </li>
 </ul>
 
 💰Compensation For Full-Time (Salary)
 
 
 
 
 US based applicants:
 
 $195,000/year to $230,000/year + benefits + equity.
 
 
 The salary range may be inclusive of several levels that would be applicable to the position. Final salary will be based on a number of factors including, level, relevant prior experience, skills, and expertise. This range is only inclusive of base salary, not benefits (more details below) or equity.
 
 
 
 🎁 Benefits
 
 
 
 <ul>
 <li>
 Generous Holiday and Time off Policy
 </li>
 <li>
 Health Insurance options including Medical, Dental, Vision
 </li>
 <li>
 Work From Home Support
 </li>
 <ul>
 <li>
 Home office setup allowance
 </li>
 <li>
 Monthly allowance for cell phone and internet
 </li>
 </ul>
 <li>
 Care benefits
 </li>
 <ul>
 <li>
 Monthly allowance for wellness
 </li>
 <li>
 Annual allowance towards Childcare
 </li>
 <li>
 Lifetime benefit for family planning, such as adoption or fertility expenses
 </li>
 </ul>
 <li>
 Retirement; 401k offering for Traditional and Roth accounts in the US (employer match up to 4% of base salary) and Pension plans internationally
 </li>
 <li>
 Monthly allowance to dogfood the app
 </li>
 <ul>
 <li>
 All Whatnauts are expected to develop a deep understanding of our product. We're passionate about building the best user experience, and all employees are expected to use Whatnot as both a buyer and a seller as part of their job (our dogfooding budget makes this fun and easy!).
 </li>
 </ul>
 <li>
 Parental Leave
 </li>
 <ul>
 <li>
 16 weeks of paid parental leave + one month gradual return to work *company leave allowances run concurrently with country leave requirements which take precedence.
 </li>
 </ul>
 </ul>
 
 
 💛 EOE
 
 
 
 
 Whatnot is proud to be an Equal Opportunity Employer. We value diversity, and we do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, parental status, disability status, or any other status protected by local law. We believe that our work is better and our company culture is improved when we encourage, support, and respect the different skills and experiences represented within our workforce.
 
 
 Compensation Range: $180K - $260K
 
 
</div>

Data Engineer, Notifications

Notion

<div>
 
 About Us
 
 
 
 Notion helps you build beautiful tools for your life&rsquo;s work. In today's world of endless apps and tabs, Notion provides one place for teams to get everything done, seamlessly connecting docs, notes, projects, calendar, and email&mdash;with AI built in to find answers and automate work. Millions of users, from individuals to large organizations like Toyota, Figma, and OpenAI, love Notion for its flexibility and choose it because it helps them save time and money.
 
 
 In-person collaboration is essential to Notion's culture. We require all team members to work from our offices on Mondays, Tuesdays, and Thursdays, our designated Anchor Days. Certain teams or positions may require additional in-office workdays.
 
 
 
 About The Role
 
 
 
 As Notion continues to grow rapidly, we're seeking talented data engineers to join our team and help us build the foundational datasets and pipelines for robust financial reporting. You'll be at the forefront of integrating our product, financial, and business systems to create rock solid processes that will propel us forward. If you're passionate about analytics use cases, data models, and solving complex data problems, then we want you on our team.
 
 
 
 What You'll Achieve
 
 
 
 <ul>
 <li>
 You'll build core datasets to serve as the sources of truth for Notion&rsquo;s financial reporting, integrating data from financial systems, business systems data and Notion&rsquo;s product.
 </li>
 <li>
 You&rsquo;ll partner closely with our Finance, Monetization Engineering, Business Intelligence and Data Science teams to support critical financial reporting and analysis needs.
 </li>
 <li>
 You'll design, build and monitor pipelines that meet today's requirements but can gracefully scale with our growing data size.
 </li>
 <li>
 You&rsquo;ll help democratize access to high quality financial data across Finance, Staff and go-to-market teams.
 
 
 </li>
 </ul>
 
 Skills You'll Need To Bring
 
 
 
 <ul>
 <li>
 You've spent 4+ years as a data engineer building core datasets and supporting business verticals as needed, ideally in product and business areas with high data volumes. You are passionate about analytics use cases, data models and solving complex data problems.
 </li>
 <li>
 You&rsquo;ve built integrations with and reporting datasets for payments, finance and business systems like Stripe, Netsuite, Adaptive, Anaplan, Salesforce and/or others.
 </li>
 <li>
 You are a self-starter and continuously gather and synthesize high-impact needs from business partners, design and implementing the appropriate technical solutions, and effectively communicating about deliverables, timelines and tradeoffs
 </li>
 <li>
 You have hands-on experience shipping scalable data solutions in the cloud (e.g AWS, GCP, Azure), across multiple data stores (e.g Snowflake, Redshift, Hive, SQL/NoSQL, columnar storage formats) and methodologies (e.g dimensional modeling, data marts, star/snowflake schemas)
 </li>
 <li>
 You are a SQL expert. You intimately understand aggregation functions, window functions, UDFs, self-joins, partitioning and clustering approaches to run correct and highly-performant queries
 </li>
 <li>
 You are comfortable with object-oriented programming paradigms (e.g Python, Java, Scala)
 </li>
 <li>
 You don&rsquo;t need to be an AI expert, but you&rsquo;re curious and willing to adopt AI tools to work smarter and deliver better results
 
 
 </li>
 </ul>
 
 Nice To Haves
 
 
 
 <ul>
 <li>
 You have hands-on experience in designing and building highly scalable and reliable data pipelines using BigData stack (e.g Airflow, DBT, Spark, Hive, Parquet/ORC, Protobuf/Thrift, etc)
 </li>
 <li>
 You have hands-on experience building payment processing and invoice systems or have worked closely with teams that do this.
 
 
 </li>
 </ul>
 We hire talented and passionate people from a variety of backgrounds because we want our global employee base to represent the wide diversity of our customers. If you&rsquo;re excited about a role but your past experience doesn&rsquo;t align perfectly with every bullet point listed in the job description, we still encourage you to apply. If you&rsquo;re a builder at heart, share our company values, and enthusiastic about making software toolmaking ubiquitous, we want to hear from you.
 
 
 Notion is proud to be an equal opportunity employer. We do not discriminate in hiring or any employment decision based on race, color, religion, national origin, age, sex (including pregnancy, childbirth, or related medical conditions), marital status, ancestry, physical or mental disability, genetic information, veteran status, gender identity or expression, sexual orientation, or other applicable legally protected characteristic. Notion considers qualified applicants with criminal histories, consistent with applicable federal, state and local law. Notion is also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, please let your recruiter know.
 
 
 Notion is committed to providing highly competitive cash compensation, equity, and benefits. The compensation offered for this role will be based on multiple factors such as location, the role&rsquo;s scope and complexity, and the candidate&rsquo;s experience and expertise, and may vary from the range provided below. For roles based in San Francisco, the estimated base salary range for this role is $170,000 - $240,000.
 
 
 By clicking &ldquo;Submit Application&rdquo;, I understand and agree that Notion and its affiliates and subsidiaries will collect and process my information in accordance with Notion&rsquo;s Global Recruiting Privacy Policy.
 
 
</div>

Data Engineer, Finance

Aircall

<div>
 Aircall is a unicorn, AI-powered customer communications platform used by 22,000+ companies worldwide to drive revenue, resolve issues faster, and scale customer-facing teams. We&rsquo;re redefining customer communications by bringing voice, SMS, WhatsApp, and AI together into one seamless workspace.
 
 
 Our momentum comes from a simple idea: help teams work smarter, not harder. Aircall&rsquo;s AI Voice Agent automates routine calls, AI Assist streamlines post-call work, and AI Assist Pro delivers real-time guidance so people can do their best work. The result is higher revenue, faster resolutions, and teams that scale with confidence.
 
 
 Aircall is headquartered in Paris, our European HQ, with a strong North American presence anchored in Seattle, our North American HQ, and teams across Madrid, London, Berlin, San Francisco, New York City, Sydney, and Mexico City. We&rsquo;ve built a product customers love and a business that&rsquo;s scaling quickly, backed by world-class investors and driven by rapid AI innovation across multiple product lines.
 
 
 At Aircall, you&rsquo;ll join a company in motion. We&rsquo;re ambitious, product-driven, and execution-focused, with visible impact, fast decisions, and real growth.
 
 
 
 How we work at Aircall:
 
 We&rsquo;re customer-obsessed, data-driven, and focused on delivering meaningful outcomes. We value ownership, continuous learning, and thoughtful speed. If you thrive in a collaborative, fast-moving environment where trust and impact matter, you&rsquo;ll feel at home here.
 
 
 
 About The Role
 
 
 
 The Data Engineering team at Aircall works on providing high-quality, reliable, and actionable data. As an AI-first data team, we are currently in a pivotal transition to build a robust semantic layer that will power our AI-first data platform, enabling analytics at speed and democratizing intelligent insights across the company. Some of the key problems we are currently solving include taking charge of data reliability, integrating new sources for raw data ingestion, and building sophisticated data models to power real-time dashboards and predictive analytics.
 
 
 In this role, you will be instrumental in building new datasets for high-impact use cases such as churn prediction and feature adoption, while owning the end-to-end reliability and scalability of our data pipelines. You will work closely with Product and GTM business teams, sitting at the heart of a larger data organization alongside Data Science, Analytics, and Applied Scientists to bridge the gap between raw data and AI-driven decision-making.
 
 
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Design, build and maintain core data infrastructure pieces that allow Aircall to support our many data use cases.
 </li>
 <li>
 Enhance the data stack, lineage monitoring and alerting to prevent incidents and improve data quality.
 </li>
 <li>
 Implement best practices for data management, storage and security to ensure data integrity and compliance with regulations.
 </li>
 <li>
 Own the core company data pipeline, responsible for converting business needs to efficient &amp; reliable data pipelines.
 </li>
 <li>
 Participate in code reviews to ensure code quality and share knowledge.
 </li>
 <li>
 Lead efforts to evaluate and integrate new technologies and tools to enhance our data infrastructure.
 </li>
 <li>
 Define and manage evolving data models and data schemas. Manage SLA for data sets that power our company metrics.
 </li>
 <li>
 Collaborate with applied scientists, data scientists, analysts and other business stakeholders to drive efficiencies for their work, supporting complex data processing, storage and orchestration
 
 
 </li>
 </ul>
 
 A little more about you:
 
 
 
 <ul>
 <li>
 Bachelor's degree or higher in Computer Science, Engineering, or a related field.
 </li>
 <li>
 3+ years of experience in data engineering, with a strong focus on designing and building data pipelines and infrastructure.
 </li>
 <li>
 Proficient in SQL and Python, with the ability to translate complexity into efficient code.
 </li>
 <li>
 Experience with data workflow development and management tools (dbt, Airflow).
 </li>
 <li>
 Solid understanding of distributed computing principles and experience with cloud-based data platforms such as AWS, GCP, or Azure.
 </li>
 <li>
 Strong analytical and problem-solving skills, with the ability to effectively troubleshoot complex data issues.Excellent communication and collaboration skills, with the ability to work effectively in a cross-functional team environment.
 </li>
 <li>
 Prior experience designing AI-ready data semantic layer is a major plus, specifically for enabling low-latency, high-fidelity analytics at scale.
 </li>
 <li>
 Experience with data tooling, data governance, business intelligence and data privacy is a plus.
 
 
 </li>
 </ul>
 $130,000 - $200,000 a year
 
 
 This is not including equity and other benefits. The actual salary offered will carefully consider a wide range of factors, including your skills, qualifications, and experience.
 
 
 Why join us?
 
 
 🚀 Key moment to join Aircall in terms of growth and opportunities
 
 
 💆&zwj;&female;️ Our people matter, work-life balance is important at Aircall
 
 
 📚 Fast-learning environment, entrepreneurial and strong team spirit
 
 
 🌍 45+ Nationalities: cosmopolite &amp; multi-cultural mindset
 
 
 💵 Competitive salary package &amp; benefits
 
 
 🏨 Medical, dental, and vision insurance is 100% covered
 
 
 📈 401k plan with company matching!
 
 
 ✈️ Unlimited PTO &mdash; take the time you need to come to work feeling great!
 
 
 ⭐️ Wellness, internet, and childcare reimbursements
 
 
 💚 Generous parental leave policy
 
 
 DE&amp;I Statement:
 
 
 At Aircall, we believe diversity, equity and inclusion &ndash; irrespective of origins, identity, background and orientations &ndash; are core to our journey.
 
 
 We pride ourselves on promoting active inclusion within our business to foster a strong sense of belonging for all. We&rsquo;re working to create a place filled with diverse people who can enrich and learn from one another. We&rsquo;re committed to ensuring that everyone not only has a seat at the table but is valued and respected at it by providing equal opportunities to develop and thrive.
 
 
 We will constantly challenge ourselves to make sure that we live up to our ambitions around diversity, equity and inclusion, and keep this conversation open. Above all else, we understand and acknowledge that we have work to do and much to learn.
 
 
 Want to know more about candidate privacy? Find our Candidate Privacy Notice here.
 
 
 We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
</div>

Data Engineer/Senior Data Engineer, Data and Science

Emerald Advantage Concepts LLC

<div>
 
 About The Team
 
 
 
 We build the data, evaluation, and experimentation infrastructure powering next‑generation
 
 agentic AI systems
 
 . Our work directly supports
 
 all five leading AI labs
 
 and focuses on the hardest problems in LLM reasoning, RL environments, and human‑in‑the‑loop workflows.
 
 
 We're a fast‑moving, talent‑dense team with backgrounds in
 
 quant finance, top‑tier startups, and elite engineering orgs
 
 . Revenue is already in the
 
 8‑figure range
 
 with a steep growth curve and a major Series A on the way.
 
 
 
 The Role
 
 
 
 This is a
 
 broad, high‑ownership engineering role
 
 &mdash; not a narrow feature lane.
 
 
 You'll work across research, infra, product, and data, owning systems end‑to‑end. Expect to touch everything from RL environments to distributed infra to full‑stack dashboards.
 
 
 
 A typical month might include:
 
 
 
 <ul>
 <li>
 Prototyping a new RL environment from a research paper
 </li>
 <li>
 Deploying distributed experiments on Kubernetes
 </li>
 <li>
 Improving reliability of Next.js dashboards
 </li>
 <li>
 Building a Kafka pipeline for annotator analytics
 
 
 
 </li>
 </ul>
 You'll shape core systems used by frontier AI labs from day one.
 
 
 
 What You'll Do
 
 
 
 <ul>
 <li>
 Build scalable systems: RL environments, APIs, human‑in‑the‑loop platforms
 </li>
 <li>
 Collaborate with research, product, and design to ship quickly
 </li>
 <li>
 Write clean, maintainable code with strong documentation
 </li>
 <li>
 Participate in architecture discussions and code reviews
 </li>
 <li>
 Solve real‑world scalability and reliability challenges
 </li>
 <li>
 Contribute to the infrastructure powering frontier AI evaluation
 
 
 
 </li>
 </ul>
 
 Who We're Looking For
 
 
 
 We're looking for early‑career engineers who have already shown they can thrive in fast‑moving, high‑ownership environments and want to work on some of the most challenging problems in AI.
 
 
 
 Experience
 
 
 
 <ul>
 <li>
 1&ndash;3 years as a full‑stack software engineer
 </li>
 <li>
 Background at a high‑growth startup, top quantitative trading firm, or experience as a founding engineer at a company with meaningful early traction
 </li>
 <li>
 If your experience is primarily big tech, we look for a strong CS foundation (e.g., top‑tier CS programs such as Berkeley, CMU, MIT, Stanford)
 
 
 
 </li>
 </ul>
 
 Bonus Experience
 
 
 
 <ul>
 <li>
 Time spent at companies focused on human‑in‑the‑loop AI, data labeling, or AI evaluation (e.g., Surge AI, Snorkel, Scale, Labelbox, Micro1, Mercor)
 </li>
 <li>
 Exposure to fast‑paced environments where you shipped features end‑to‑end and owned outcomes
 
 
 
 </li>
 </ul>
 
 What Matters Most
 
 
 
 <ul>
 <li>
 You've built real systems &mdash; not just maintained them
 </li>
 <li>
 You take ownership, move quickly, and enjoy solving hard technical problems
 </li>
 <li>
 You're comfortable working directly with researchers, product teams, and customers
 </li>
 <li>
 You thrive in environments where the roadmap changes based on what you learn
 
 
 
 </li>
 </ul>
 
 Technical Skills
 
 
 
 <ul>
 <li>
 Full‑stack: Next.js / React, Node.js / Python
 </li>
 <li>
 Infra: Kubernetes, Kafka, Redis, Elasticsearch
 </li>
 <li>
 Ability to build end‑to‑end systems with high ownership
 
 
 
 </li>
 </ul>
 
 Soft Skills
 
 
 
 <ul>
 <li>
 Strong ownership and bias toward shipping
 </li>
 <li>
 Comfortable being client‑facing with AI lab researchers
 </li>
 <li>
 Thrives in fast‑paced, high‑iteration environments
 
 
 
 </li>
 </ul>
 
 Work Environment
 
 
 
 
 5 days/week onsite
 
 in Financial District
 
 
 Flexible hours
 
 
 Optional half‑day or remote on Sundays
 
 
 Tight‑knit, high‑trust, high‑velocity team
 
 
 
 Why Join
 
 
 
 <ul>
 <li>
 Work directly with frontier AI labs
 </li>
 <li>
 Solve the hardest problems in AI evaluation
 </li>
 <li>
 Massive ownership and impact from day one
 </li>
 <li>
 Build at a scale most AI startups never reach
 </li>
 <li>
 Join a team of elite engineers and operators
 
 </li>
 </ul>
</div>

Software Engineer (Full‑Stack / Infrastructure) — Frontier AI Evaluation

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Software Engineer (Full‑Stack / Infrastructure) — Frontier AI Evaluation