Thinkific is a learning commerce platform that helps learning businesses turn knowledge into impact. By bringing together community, courses, and content with commerce, we power transformative learning experiences that help businesses grow their revenue—and reach millions of learners around the world. We’re a team of 300+ Thinkers building products that matter. Every role at Thinkific contributes to raising the bar for online learning, supporting learning businesses, and creating real-world impact. You’ll work alongside curious, collaborative teammates who care deeply about what they build and who they build it for. We’re committed to a fair, inclusive, and human hiring experience. Our team is here to guide you every step of the way, so you always know what to expect! Are you a data engineer who loves writing code, or a full-stack developer with a knack for data? Either way, we'd love to talk. We're looking for an Intermediate Data Engineer to join us at Thinkific As an Intermediate Data Engineer on our Data team, you'll be closely collaborating with engineering teams, designers, and stakeholders across the company to solve data problems that span the full stack — from pipelines and infrastructure to customer-facing data products. You'll be part of a small, dynamic team — the problems you'll work on won't always come with a neat brief, and we need someone who takes ownership and runs with it. Reporting to a Principal Data Engineer, your work will directly impact both internal decision-making and customer success. Your goal will be to help shape our data products and infrastructure to have a top-line impact on our company goals. Here's how you'll accomplish this: - Take ownership of undefined problems — dig in, scope the work, and ship solutions, whether that's a pipeline, a dashboard, a tracking implementation, or something we haven't thought of yet - Ship customer-facing analytics dashboards and features — this is production code, not just SQL and charts - Work directly with engineering teams to implement tracking services across our products - Interface with teams across the company who need data solutions, translating fuzzy requirements into concrete deliverables - Raise the bar on technical quality across the data team — through architecture decisions, reducing tech debt, code reviews, and bringing software development best practices to a high-performing data team - Work with your team to conduct new technology research; bring fresh ideas and concepts to bear on how we integrate AI into our data workflows The person we have in mind likely: - Has 3–5 years of experience working across data engineering, full-stack development, analytics, or some combination — we care more about range than a specific title - Has solid data engineering experience — you've built and maintained pipelines, worked with warehouses, and understand data modeling and quality - Has full-stack development experience — you've shipped production code that users interact with, not just internal tooling - Has hands-on experience with dbt and BigQuery or similar stacks (Snowflake, Databricks, etc.) - Is self-motivated and resourceful — you ship things, communicate clearly across technical and non-technical teams, and are always looking to level up - Is comfortable working across the stack and across disciplines; you don't need to be an expert everywhere, but you're not afraid to jump in - For reference, our current stack is primarily dbt (SQL) with Python for data work, Looker for our Analytics layer, and React, TypeScript (with some Ruby), and embedded Looker on the product side — but we're more interested in your engineering fundamentals than specific language experience. - Loves to learn and grow, They’ve found (and keep looking for) ways to level up their skills in this field, whether that’s through formal education, gaining professional experience, or maybe even building their own business These things would also be nice, but we think you could learn them on the job: - Experience with LLM/agent development — building AI-powered data products, automated workflows, or integrating LLMs into data pipelines and analytics - Experience with GCP and Terraform - Any exposure to ML - Experience white-labeling a BI tool or embedding analytics into a customer-facing product - Experience building or maintaining event tracking systems - Familiarity with modern data stack tools beyond dbt/BigQuery (Airflow, Dagster, etc.) - Experience working in startup-style environments or autonomous teams within larger orgs - Experience working in a SaaS environment We’re committed to fair and transparent pay that reflects both where you are and where you can grow to. This role has a salary range base of $88,200 - $110,200 - $132,200 designed to capture the full journey from developing skills to excelling in the position. Most new hires start between the minimum and midpoint, which aligns with being fully capable in the role. Salaries above the midpoint are typically reserved for team members who have demonstrated strong, consistent performance, deep expertise, and a significant positive impact within the role. For high-demand or hard-to-fill positions like this one, we may hire above midpoint for candidates who bring exceptional experience, skills, or impact potential. Diversity, Equity, Inclusion and Belonging & Accessibility This is just our initial idea of who we’re looking for! At Thinkific, we know that people have unique career journeys. If your experience is close to what we’ve described but you feel that you might be missing a few of the requirements, please still apply! We believe in equal opportunity and are committed to diversity, equity, inclusion, and belonging across every facet of our business. We’re also committed to providing a comfortable and accessible interview experience for every candidate. If there are any accommodations our team can make throughout our hiring process (big or small), please let us know. What you can expect if you join Thinkific: 👏 An amazing team of talented, passionate, and kind Thinkers. Together, we’ve built an amazing, award-winning culture—we’re a Certified Great Place to Work and one of Canada’s Most Admired Corporate Cultures by Waterstone! 🚀 The chance to build, improve, and innovate on a platform that’s driving positive impact for thousands of businesses and millions of students around the world. 💸 A competitive compensation package including base salary, equity, team-wide bonuses, and an Employee Share Purchase Plan. 🌴Flexible Paid Time Off to maintain mental and physical health. Our team is encouraged to take a minimum 4 weeks of vacation, plus Thinker Holidays (extended long weekends in the summer) and time off for the December holiday season. 🩺 Health Benefits and Wellness: Comprehensive benefits starting on Day 1 include health, vision, and dental coverage for you and your family, $3,000 for mental health care, a short-term health plan, and an additional $900/year health or personal spending account. Plus, family friendly benefits include generous parental leave top-ups for up to 32 weeks, as well as fertility coverage and personalized return to work options. 🤝 3 Paid Volunteer Days each year to give back to your community and support the causes you care about. 💻 Flexible Work. Choose to work from home from anywhere in Canada, at our Vancouver HQ, a co-working space, or anywhere there’s wifi for a change of scenery. ⬆️ Learning & Growth. An annual $2,000 CAD Learn and Grow fund for conferences, seminars, or courses, plus training, mentorship, coaching, and internal promotion opportunities. 🏡 A home office setup so you’re ready to succeed with a company-owned Macbook Pro and a budget to order a desk, chair, or any accessories to help you work comfortably and productively. 💙 A place where you can bring your whole self to work. We know that different perspectives lead to amazing ideas, more innovation, and, ultimately, our success as a company. We welcome applicants of all backgrounds, experiences, beliefs, identities, and statuses. Whoever you are—we can’t wait to meet you! The Thinkific Vancouver office operates on the traditional, ancestral, and unceded territories of the xʷməθkʷəy̓əm (Musqueam), Sḵwx̱wú7mesh (Squamish), and Sel̓íl̓witulh (Tsleil-Waututh) Nations of the Coast Salish People. We encourage everyone to learn more about the original caretakers of the land that you currently occupy.

• You'll focus on solving problems and creating value for business by building solutions that are reliable and scalable to work with the size and scope of the company. • You will be tasked with creating a custom-built pipeline on GCP stack. • You will be part of teams that implement vendor sourced enterprise software, configuring that software, customizing it, and integrating with other internal systems.

Vālenz® Health is the platform to simplify healthcare – the destination for employers, payers, providers and members to reduce costs, improve quality, and elevate the healthcare experience. The Valenz mindset and culture of innovation combine to create a distinctly different approach to an inefficient, uninspired health system. With fully integrated solutions, Valenz engages early and often to execute across the entire patient journey – from care navigation and management to payment integrity, plan performance and provider verification. With a 99% client retention rate, we elevate expectations to a new level of efficiency, effectiveness and transparency where smarter, better, faster healthcare is possible. About This Opportunity: As a Data Engineer I, you’ll play a hands-on role in building and supporting scalable data pipelines within our cloud-based Lakehouse environment (Azure Databricks, Delta Lake), leveraging tools like Spark and PySpark. You’ll help bring in healthcare data from a variety of sources, ensuring it’s accurate, reliable, and ready to support analytics and reporting needs across the organization. You’ll also partner closely with the broader Analytics team to make sure data is delivered in a way that’s clear and actionable. Over time, you’ll build expertise in managing large, complex datasets and contribute to evolving our data architecture to support new and emerging data sources as the business grows. Things You’ll Do Here: - Create and maintain processes to acquire, validate, and enrich data from various sources. - Support the migration of on-premise data systems (SQL Server) to a cloud-based lakehouse architecture (Azure Databricks, Delta Lake), including data transformation and pipeline re-architecture. - Develop and optimize ETL/ELT pipelines using PySpark and Spark SQL. - Implement Lakehouse + Delta architecture best practices to ensure a standardized and scalable way that we store and process our data, including schema enforcement, ACID transactions, and data versioning. - Orchestrate data pipelines using Databricks Workflows (Jobs) or similar tools. - Implement data quality frameworks, validation checks, and monitoring for pipeline reliability. - Optimize performance and cost of data pipelines. - Collaborate on CI/CD practices for data pipelines, including testing, deployment, and versioning. - Partner with data analysts, data scientists, and business stakeholders to identify new sources of data and estimate feasibility of acquiring specific data sources. - Design and implement data models to support analytics, reporting, and data warehousing use cases. - Take an active role in agile processes. - Perform other duties as assigned. Reasonable accommodation may be made to enable individuals with disabilities to perform essential duties. What You’ll Bring to the Team: - 1+ years of work experience in a data engineering role. - Bachelor’s degree or greater in a quantitative field such as statistics, mathematics, engineering, computer science, finance, or economics or equivalent practical experience - Hands-on experience with Databricks (Spark, PySpark, Delta Lake) and/or migrating RDBMS systems to a data lakehouse. - Experience working the most common types of healthcare data (medical claims, eligibility, provider network rosters, Rx claims, etc) from a variety of sources. - Strong organizational skills and time management capacity to balance multiple projects with limited supervision. - Ability to build (and re-evaluate) a process from the ground up. - Strong investigative skills with ability to search beyond the initial results. - High attention to detail, with overwhelming desire to test and double-check your own results. - Comfortable working with messy data and ambiguous results - Hands-on experience with SQL and Python (including PySpark) for distributed data processing. - Experience building and optimizing large-scale distributed data pipelines for both batch and streaming ingestion. - Our data platform is undergoing a transformation from a traditional on-premise architecture to a modern cloud-based lakehouse on Azure. Technologies used: - Cloud & Modern Data Platform: - Azure (Blob Storage / Data Lake Storage, Synapse Analytics) - Databricks (Spark, PySpark, Delta Lake, Databricks Workflows) - Delta Lake architecture (ACID transactions, schema enforcement, time travel) - Data Engineering & Development: - Python (including PySpark), SQL - Data pipeline orchestration and workflow management - Version control (Git, Azure DevOps) - Legacy / Transitional Systems: - SQL Server (on-premise RDBMS) - .NET / C#-based data processing applications - Migration from traditional ETL and relational systems to cloud-based lakehouse architecture Where You’ll Work: This is a fully remote position, and we’ll provide all the necessary equipment! - Work Environment: You’ll need a quiet workspace that is free from distractions. - Technology: Reliable internet connection—if you can use streaming services, you’re good to go! - Security: Adherence to company security protocols, including the use of VPNs, secure passwords, and company-approved devices/software. - Location: You must be US based, in a location where you can work effectively and comply with company policies such as HIPAA. Why You'll Love Working Here Valenz is proud to be recognized by Inc. 5000 as one of America’s fastest-growing private companies. Our team is committed to delivering on our promise to engage early and often for smarter, better, faster healthcare. With this commitment, you’ll find an engaged culture – one that stands strong, vigorous, and healthy in all we do. Benefits - Generously subsidized company-sponsored Medical, Dental, and Vision insurance, with access to services through our own products, Healthcare Blue Book and KISx Card. - Spending account options: HSA, FSA, and DCFSA - 401K with company match and immediate vesting - Flexible working environment - Generous Paid Time Off to include vacation, sick leave, and paid holidays - Employee Assistance Program that includes professional counseling, referrals, and additional services - Paid maternity and paternity leave - Pet insurance - Employee discounts on phone plans, car rentals and computers - Community giveback opportunities, including paid time off for philanthropic endeavors At Valenz, we celebrate, support, and thrive on inclusion, for the benefit of our associates, our partners, and our products. Valenz is committed to the principle of equal employment opportunity for all associates and to providing associates with a work environment free of discrimination and harassment. All employment decisions at Valenz are based on business needs, job requirements, and individual qualifications, without regard to race, color, religion or belief, national, social, or ethnic origin, sex (including pregnancy), age, physical, mental or sensory disability, HIV Status, sexual orientation, gender identity and/or expression, marital, civil union or domestic partnership status, past or present military service, family medical history or genetic information, family or parental status, or any other status protected by the laws or regulations in the locations where we operate. We will not tolerate discrimination or harassment based on any of these characteristics.

About Workato Workato transforms technology complexity into business opportunity. As the leader in enterprise orchestration, Workato helps businesses globally streamline operations by connecting data, processes, applications, and experiences. Its AI-powered platform enables teams to navigate complex workflows in real-time, driving efficiency and agility. Trusted by a community of 400,000 global customers, Workato empowers organizations of every size to unlock new value and lead in today’s fast-changing world. Learn how Workato helps businesses of all sizes achieve more at workato.com. Why join us? Ultimately, Workato believes in fostering a flexible, trust-oriented culture that empowers everyone to take full ownership of their roles. We are driven by innovation and looking for team players who want to actively build our company. But, we also believe in balancing productivity with self-care. That’s why we offer all of our employees a vibrant and dynamic work environment along with a multitude of benefits they can enjoy inside and outside of their work lives. If this sounds right up your alley, please submit an application. We look forward to getting to know you! Also, feel free to check out why: - Business Insider named us an “enterprise startup to bet your career on” - Forbes’ Cloud 100 recognized us as one of the top 100 private cloud companies in the world - Deloitte Tech Fast 500 ranked us as the 17th fastest growing tech company in the Bay Area, and 96th in North America - Quartz ranked us the #1 best company for remote workers Responsibilities - Conduct research into integration use cases, data pipelines, and connector ecosystems to propose strategic, data-driven opportunities. - Work closely with users, engineering, and partner teams to understand pain points around data ingestion, transformation, and orchestration. - Help define and prioritize product requirements for data connectors, sync modes, and data platform capabilities like retries, batching, or schema evolution. - Collaborate with cross-functional teams to drive roadmap discussions for supporting popular apps, databases, cloud warehouses, and data movement patterns. - Translate complex data movement concepts into clear PRDs and user flows, and support implementation through launch. - Analyze usage data and customer feedback to identify areas for improvement across integration reliability, scale, and usability. - Contribute to enablement content that helps internal teams and customers understand and adopt new integration features. Requirements - Currently pursuing a degree in Computer Science, Information Systems, Data Engineering, or a related technical field, or relevant B2B SaaS internship experience. - Interest in data systems, APIs, integration tooling, or cloud data platforms (e.g., Snowflake, S3, SQL Server). - Strong written and verbal communication skills with the ability to explain technical concepts to diverse audiences. - Comfort with ambiguity and a passion for solving complex system-level problems involving data flows and app ecosystems. - A proactive, ownership-driven attitude and eagerness to learn in a fast-paced environment. - Exposure to SQL, ETL/ELT patterns, or data modeling is a plus (but not mandatory). To stand out in our hiring process, please take the time to respond to the Job Application Questions below with concise yet informative answers. All submissions are personally reviewed by the Hiring Team, not evaluated by AI. (REQ ID: 2714)