Remote Data Engineering & Analytics Jobs

GPP Database Link Job Summary: Solves analytical problems using quantitative approaches through a combination of analytical, mathematical and technical skills. Researches, designs, implements and validates algorithms to analyze diverse sources of data to achieve project specific outcomes by leveraging statistical and predictive modeling concepts. Key Responsibilities: Leverages data science methodology to solve business problems. Creates individual algorithms using statistical methodologies through the use of statistical programming languages and tools. Partners with domain experts to verify model capabilities. Implements statistical techniques to clean, prepare and profile the data prior to deeper analysis. Clearly articulates results, methodologies and learnings to stakeholder and peer group. Continuous development and advancement of the team through knowledge sharing and collaboration. Originally posted on Himalayas

AECOM is seeking a Senior Plumbing Engineer/Designer specializing in Hyperscale Data Centers to act as a Data Center Plumbing Lead. The job incumbent will be responsible for designing plumbing systems in large scale data centers. This position could be based anywhere in the US, can be done remotely, with occasional site visits as needed. This position offers the flexibility of a remote work schedule and can be based from a variety of locations in the US where AECOM has an office Although the position is primarily remote periodic travel may be required for client meetings, key project milestones, onsite collaboration sessions, or other business‑critical activities. Travel is expected to be occasional and scheduled in advance AECOM is a leader in the global data center consulting industry with robust teams in the Americas, Europe, Africa, Asia, and Australia. In this role, you will have the opportunity to work with our teams around the world on high-profile, fast-paced data center projects for global clients. This is a hands-on, client-facing role with an opportunity for upward career mobility. Key Responsibilities: Serves as lead engineer on hyperscale data center projects. Provides specialized technical input to studies and design for staff's specific area of expertise. Approves and signs off on work. Collaborates with other engineers and stakeholders to develop specifications and design criteria. Provides technical expertise for studies and design efforts. Presents complex t

Job Posting: Since 1953, Ferguson has been a source of quality supplies for a variety of industries. Together We Build Better infrastructure, better homes and better businesses. We exist to make our customers’ complex projects simple, successful, and sustainable. We proactively solve problems, adapt and grow to continuously serve our customers, communities and each other. Ferguson , a Fortune 500 company, is proud to provide best-in-class products, service and capabilities across the following industries: Commercial/Mechanical, Facilities Supply, Fire and Fabrication, HVAC, Industrial, Residential Trade, Residential Building and Remodel, Waterworks and Residential Digital Commerce. Ferguson has approximately 36,000 associates across 1,700 locations. Ferguson is a community of proud associates who operate with the shared purpose of building something meaningful. You will build a career that you are proud of, at a company you can believe in. Business Intelligence Data Modeler The Business Intelligence Data Modeler is part of the Enterprise Solutions organization, specifically within the IT Enterprise Data Applications team. This role designs, builds, and optimizes the data models and semantic layers that power enterprise reporting, forecasting, self-service analytics, and emerging AI and machine learning use cases. Working across business and technology teams, this role transforms complex data into trusted, scalable, and easy-to-use analytical solutions. The ideal candidate bri

Role Overview The Data Product Owner acts as the key liaison between client stakeholders and delivery teams on data programmes/projects, ensuring that business requirements are clearly defined, prioritised, and delivered in alignment with Agile delivery principles. This role blends analytical thinking, stakeholder engagement, and hands-on collaboration within a data and analytics-focused development team and client. Anticipated start date: mid-September - October 2026 Key Responsibilities Requirements Management Write detailed user stories and acceptance criteria by breaking down Epics for integration and reporting use cases. Lead feature / data product kickoffs to ensure business context and delivery alignment. Facilitate estimation sessions and story readiness to support sprint planning. Collaborate closely with developers and testers to validate “done” stories and ensure Client sign-off . Partner with technical leads, client SMEs to ensure requirements are accurate, complete, and technically feasible. Backlog Management Support the Client in managing and prioritizing the product backlog to ensure alignment with business goals. Conduct backlog refinement sessions with the team to clarify requirements, dependencies, and priorities. Ensure stories meet the team’s definition of ready before sprint planning. Track and communicate backlog health and sprint progress through Agile tools (e.g., Jira ). Identify and escalate risks or blockers impacting backlog items or delivery flow

You’ll be working on diverse machine learning projects for local and international companies as well as in academic research. This will involve different phases of the end-to-end delivery – direct contact with the client, business analysis of the problem, coming up with an appropriate solution, implementation and moving it to the production environment. Requirements Key Responsibilities ● Design and develop end-to-end agentic AI solutions using modern LLM frameworks ● Build and deploy Generative AI applications using Python ● Develop and manage AI agents, including tool integrations, memory management, and reasoning workflows ● Implement agent orchestration for multi-agent systems and complex task automation ● Apply advanced prompt engineering techniques to optimize model performance ● Establish agent observability frameworks (monitoring, tracing, logging, evaluation, guardrails) ● Deploy AI solutions using container-based architectures (Docker, Kubernetes) ● Ensure scalability, reliability, and security of AI systems in production ● Integrate AI agents with enterprise APIs, databases, and external systems ● Continuously evaluate model performance and implement optimization strategies Required Skills & Qualifications: ● Strong proficiency in Python programming ● Hands-on experience with Generative AI / LLM frameworks (e.g., LangChain, LlamaIndex, Semantic Kernel, etc.) ● Experience building end-to-end agentic solutions ● Practical experience in agent development and orche

Data Scientist - Broker Terms Team Hybrid in London, United Kingdom We're looking for a Data Scientist to join the Broker Terms team. You'll shape the analytical approach for a team that sets the terms on iwoca 's biggest acquisition channel. The team is young, with many unexplored opportunities. The company Small businesses move fast. Opportunities often don’t wait, and cash flow pressures can appear overnight. To keep going, and growing, SMEs need finance that’s as flexible and responsive as they are. That's why we built iwoca . Our smart technology, data science and five-star customer service ensures business owners can act with the speed, confidence and control they need, exactly when it's needed. We’ve already cleared the way for 100,000 businesses with more than £4 billion in funding. Our passionate team is driven to help even more SMEs succeed, through access to better finance and other services that make running a business easier. Our ultimate mission is to support one million SMEs in their defining moments, creating lasting impact for the communities and economies they ildrive. The team Broker Terms is a growing team that sits within iwoca 's third-party acquisition department. It owns the full offer terms strategy for customers referred through the broker network – both first-time customers and repeat. The team sets pricing, loan amounts, durations, and broker commissions, and owns the UX that presents them to brokers and customers. The team is small and interdiscip

Data Engineer-6336 itD is seeking an experienced Data Engineer to build and modify high-complexity data pipelines, monitoring, and alerting systems supporting a legal-focused infrastructure team. The ideal candidate will bring deep expertise in SQL, Python, ETL/data pipelines, and data warehousing , along with a proven track record of leading complex, cross-functional data engineering initiatives from planning through delivery. Location: Remote, with preference for candidates based in California and ideally the Bay Area. Candidates open to occasional onsite work in San Francisco should indicate this in their skills matrix. Contract: 3Months Pay Rate: depending on experience and market rate. We provide comprehensive medical benefits, a 401k plan, paid holidays, and more. Please note that we are only considering direct W2 candidates at this time, as we are unable to offer sponsorship. Responsibilities Build and modify high-complexity ETL and data pipelines to efficiently extract, transform, and process data from large-scale datasets. Develop and maintain monitoring and alerting systems that proactively identify data, infrastructure, and workflow issues. Design data warehousing solutions and optimize queries and pipelines for large-scale data processing. Collaborate with attorneys, data scientists, engineers, and other technical and non-technical stakeholders to understand data requirements, sources, dependencies, and timelines. Lead end-to-end data engineering initiatives acros

Healthcare’s helping hand. CHG shook things up in 1979 by inventing the locum tenens staffing model. We connect doctors with patients who need their care. As the largest physician staffing firm in America, our providers treat millions of patients each year. Our industry is growing and demand is high. This means you’ll have plenty of opportunities to grow and develop in your career. Keeping healthcare healthy can be as fun as it is rewarding CHG is looking for a Data Scientist to join our Data Science team. You will build and ship models that help Sales and other business partners make better, faster decisions. Working alongside data engineers and analysts, you will turn raw data into reliable features, test your ideas, and explain the results in plain language. At this level, you own projects from question to production with light guidance, and you help newer teammates grow. Responsibilities Design, build, and validate machine learning and statistical models that solve defined business problems Explore large datasets to find trends and insights, and partner with data engineers to create and refine the features your models need Design and analyze experiments to measure the impact of data-driven initiatives Present findings to non-technical stakeholders in a clear way that supports decisions Work with engineers, product managers, and business partners in an agile environment to put models into products and processes, following CHG data privacy and security standards Qualificati

Peraton Overview Peraton is a next-generation national security company that drives missions of consequence spanning the globe and extending to the farthest reaches of the galaxy. As the world’s leading mission capability integrator and transformative enterprise IT provider, we deliver trusted, highly differentiated solutions and technologies to protect our nation and allies. Peraton operates at the critical nexus between traditional and nontraditional threats across all domains: land, sea, space, air, and cyberspace. The company serves as a valued partner to essential government agencies and supports every branch of the U.S. armed forces. Each day, our employees do the can’t be done by solving the most daunting challenges facing our customers. Visit peraton.com to learn how we’re keeping people around the world safe and secure. Responsibilities Peraton is seeking a Junior Data Engineer with ETL development and geospatial data experience to support the data engineering workstream on a federal data migration program. You will develop and deploy ETL pipelines, execute data ingestion workflows, and support spatial data validation activities within a cloud data Lakehouse environment. This is a fully remote position. The Department of the Interior (DOI), U.S. Fish and Wildlife Service (FWS), and NOAA's National Marine Fisheries Service (NMFS) have identified a critical gap in the federal government's ability to conduct comprehensive Endangered Species Act (ESA) research. While FWS

Who we are: As a global leader in digital infrastructure, QTS designs, builds and operates advanced data centers that support strategic AI, cloud and digital transformation initiatives. We are driven by a mission to connect the world for good and our people make it possible. Every single day, the creativity, dedication and genuine care for our communities are what push us forward and make this a truly special place to be. As a QTS Senior Director, Data Centre Development , you are a self-directed professional with strong interpersonal, communication, and organisational skills. You bring a strong background in data centre design, engineering, controls, and operational requirements, with an emphasis on project/construction management. You will deliver customer deployment projects that meet client expectations and support new builds and implementations. By bringing together customers, Sales, Operations, Property Development and specialty consultants, you will align client objectives, business processes and vendor management strategies across QTS. Your focus on effective client relationships and efficient cost management will help deliver projects on time and on budget. Roles & Responsibilities - not limited to: You will report into the QTS Property Development department and work closely with the Chief Delivery Officer and Chief Commercial Officer, depending on the origin of the project. Function as QTS’ point of contact for new client builds and implementations, liaising be

Bright Vision Technologies is a technology consulting and software development company delivering cloud, AI, data, and enterprise solutions across the United States. This is a fantastic opportunity to join an established and well-respected organization offering tremendous career growth potential. Job Title: Data Storage Architect Location: 100% Remote (U.S.) Position Type: Full-time, Direct W2 Salary Range: $140,000–$155,000 Annually Experience Required: 6+ years Sponsorship: U.S. Citizens, Green Card Holders, EAD Holders, and H-1B transfer candidates are encouraged to apply. We are unable to sponsor new H-1B visa petitions for this position. Job Summary: We are seeking a Data Storage Architect with deep expertise across enterprise storage platforms — NetApp ONTAP, Pure Storage, and Ceph — to design, deploy, and operate the storage foundation that supports our compute, virtualization, database, and Kubernetes workloads. The role spans block, file, and object storage across data center, edge, and cloud environments, with strong attention to performance, data protection, and cost. The ideal candidate has operated heterogeneous storage estates at scale, understands the storage characteristics of diverse workloads, and brings strong automation discipline to storage engineering work. Required Qualifications Five or more years of enterprise storage engineering experience. Deep expertise in NetApp ONTAP or Pure Storage FlashArray/FlashBlade. Hands-on experience with Ceph at producti

True Zero Technologies , a veteran-owned small business, was founded on the principle that the purposeful enablement of people and technology in an organization directly ties to the quality of its outcomes. True Zero recognizes that those outcomes begin and end with our people, and that is what we have built a community of like-minded, driven, and passionate individuals and innovators who are aligned in a common goal of delivering top-tier services to our customers. Our culture and commitment have been recognized through numerous accolades, including being named one of the Best Places to Work in 2023 in two categories (“Prosperous and Thriving” ($5MM–$50MM in gross revenue) and “Mid-Atlantic Region” (DC, DE, MD, NC, VA, WV)), and again in 2025 as a Best Places to Work honoree. In addition, True Zero earned coveted spots on the Inc. 5000 list of fastest-growing companies in America in 2022, 2023, and 2025 , a testament to our sustained growth driven by our people-first approach and unwavering dedication to excellence. Position Responsibilities Performance & Optimization: Optimize data pipelines, configure clusters, and implement best practices for cost and performance. Governance & Security: Implement security protocols, such as Unity Catalog, IAM, and data access controls. Technical Leadership: Act as a trusted advisor to engineering teams, mentor staff, and define technical roadmaps. Collaboration: Work with data engineers and stakeholders to align technical solution

WHO ARE WE? Launch Potato is the discovery and conversion company. We reach tens of millions of people every month through our brands, including FinanceBuzz, All About Cookies, and OnlyInYourState. We turn that attention into real outcomes for our partners, some of the world's leading companies. Our mission: create predictable, high-value customer acquisition at scale by connecting discovery, intent, and performance across category-leading consumer brands in finance, travel, and entertainment. We run profitable and bootstrapped, with a South Florida HQ and a remote-first team across 18 countries. WHY JOIN US? You own outcomes here, not tasks. We measure work by impact, not activity. The pace is real, and change is constant, so the people who do best turn change into opportunity instead of waiting for it to settle. Feedback runs direct and lands with respect. Ordinary people make themselves extraordinary at Launch Potato . YOUR ROLE You'll build the models that decide which carrier each auto insurance shopper sees on our click wall. The goal is to send every user to the carrier most likely to convert them, so carriers see our traffic convert and raise their bids. You'll also own the buying models behind our media spend, which are held to ROAS. Carrier conversion data (quotes, policies and acquisition cost) is now coming back to us, and you'll be the one who puts it to work in production. The hard part is the data. Outcomes land weeks or months after the click, many sessions ar

Leega is a company focused on providing efficient and innovative service to its clients. This is no different with our main fuel: people! Our culture is inspiring, and our values are present in our daily work: ethics and transparency, quality excellence, teamwork, economic, social, and environmental responsibility, human relations, and credibility. We look for innovative professionals who are driven by challenges and focused on results. If you are looking for a dynamic partner company that invests in its employees through continuous training, Leega is the place for you! >> LEEGA IS FOR EVERYONE; we will be very happy to have you on our team. Come be a part of our history and help build our future. Apply to our job openings right now! We are looking for a Senior Data Engineer who, in addition to building and operating pipelines, will assume architectural responsibility for the event-driven data platform: topic and event contract design, streaming ingestion patterns, PySpark processing, and performance, resiliency, and cost decisions in the AWS environment. This is a heavy technical execution position: the person will write code, tune Kafka and Spark, review third-party designs, and be responsible for the reliability of data powering executive dashboards, client reports, and regulatory obligations. The environment is regulated, operating within the financial and investment markets, where traceability and reproducibility are essential.

About you You are an experienced Data Engineer who enjoys building reliable integrations and transforming complex data into accurate, accessible, and actionable information. You have hands-on experience developing production ETL pipelines with TypeScript/Node.js and Python, integrating REST APIs, and working with cloud-based data platforms. You are comfortable joining an established codebase, following existing technical patterns and CI/CD workflows, and becoming productive with minimal guidance. You communicate clearly in distributed environments, work effectively with limited overlap, and take ownership of monitoring, troubleshooting, and maintaining the reliability of your pipelines. You Bring to Applaudo the Following Competencies 5+ years of professional experience in data engineering, integration development, or related roles. Production experience building ETL or data-integration pipelines using TypeScript and Node.js. Strong Python experience focused on data-pipeline development. Hands-on experience with GCP services, including BigQuery, Cloud Storage, Dataflow, and Pub/Sub. Experience integrating REST APIs using OAuth 2.0, pagination, error handling, and retry mechanisms. Advanced SQL skills and experience working with complex data warehouse schemas. Experience developing data-transformation logic and data-quality validations. Understanding of pipeline monitoring, alerting, failure recovery, and operational support. Experience working within established architectures

Computer Vision Data Scientist In your new role, you will: Analyze large-scale receipt data for fraud patterns and anomalies Develop statistical methods to detect subtle inconsistencies in receipt data Design feature engineering strategies combining OCR, visual embeddings, and behavioral signals Build and optimize ML models for fraud detection using collected data points Develop fraud scoring algorithms that combine multiple detection signals and model outputs Implement threshold optimization strategies balancing precision and recall for different risk levels Design comprehensive fraud scoring systems Develop weighted scoring mechanisms adaptive to fraud types and retailer patterns Create interpretable scoring frameworks for manual review teams We're Looking For: 4+ years as a data scientist with experience in fraud detection Strong expertise in hypothesis testing, time series, and anomaly detection Hands-on experience with classification, ensemble methods, and deep learning (scikit-learn, XGBoost, PyTorch/TensorFlow) Computer Vision - Strong experience with image processing and embedding, specifically EfficientNet and FAISS, is a plus Experience with high-volume transaction processing and real-time decision systems Knowledge of retail/e-commerce fraud patterns preferred Familiarity with document fraud techniques and anti-fraud methodologies Why join us? Cutting-edge tech stack including GenAI and ML A global team with diverse perspectives 100% remote work Opportunity to infl

We are seeking a Data Scientist to design and deliver analytical models and decision-support systems that improve understanding, prediction and decision-making across the business. The role focuses on building practical models of complex real-world systems, working with imperfect data, uncertainty and competing objectives to generate commercially valuable outcomes. Responsible for developing deployable analytical solutions in partnership with Engineering teams, while not owning production infrastructure or application development. Key Responsibilities: Model Development Design, develop and maintain statistical, probabilistic and simulation-based models. Translate complex business questions into tractable modelling problems. Select appropriate modelling approaches based on the characteristics of the problem rather than methodological preference. Develop prototypes and working solutions iteratively, refining approaches as new information becomes available. Build analytical assets that can be reused as products, decision-support tools or operational capabilities. Design and analyse experiments to evaluate interventions, operational changes and model effectiveness. Inference & Uncertainty Work effectively with incomplete, imperfect and evolving datasets. Develop approaches for estimating missing information and combining evidence from multiple sources. Quantify uncertainty and communicate appropriate confidence in model outputs. Test assumptions and identify limitations withi

Do you have experience managing databases and are you looking for a challenging project with remote and part-time arrangements? This opportunity might be for you! What will your challenge be? Manage, monitor, and maintain databases in production and test environments. Manage backups, recovery, and service continuity. Optimize performance and ensure database security. Provide support to development teams and participate in incident resolution. What do you need to apply? More than 2 years of experience managing at least two database engines: PostgreSQL, MySQL, MongoDB, Redis, or SQL Server. Certifications or courses of at least 50 hours in the corresponding engines, valid or approved within the last 5 years. We also value! Experience with AWS RDS/Aurora or Azure, high availability, replication, and automation. What do we offer? 100% remote modality. Part-time commitment. 1-year project contract. If you meet the requirements and are interested in being part of this project, we want to meet you! Apply and share this opportunity with anyone who might be looking for a challenge like this. Originally posted on Himalayas

At Forbes Advisor, our mission is to help readers turn their aspirations into reality. We arm people with trusted advice and guidance so they can make informed decisions they feel confident in and get back to doing the things they care about most. We are an experienced team of industry experts dedicated to helping readers make smart decisions and choose the right products with ease. Forbes Advisor boasts decades of experience across dozens of geographies and teams, including Content, SEO, Business Intelligence, Finance, HR, Marketing, Production, Technology and Sales. The team brings rich industry knowledge to Forbes Advisor's global coverage of consumer credit, debt, health, home improvement, banking, investing, credit cards, small business, education, insurance, loans, real estate and travel. Overview We're looking for a Data Science Manager who can turn commercial problems into scalable Data Science products. You'll work closely with the Director of Data Science to turn our Data Science strategy into scalable products and measurable business outcomes. You'll manage the day-to-day work of a growing team while partnering directly with stakeholders across the business to understand the decisions they're trying to make and identify where Data Science can materially improve the outcome. This is a player-coach role. You'll lead and develop a growing team of Data Scientists while remaining close enough to the work to shape methodology, review technical outputs and contribute hand

Why Praxent ? We get it. You have options. Let us tell you why we’re different. Our work is changing the world of financial services. Everyday, clients arrive with big ideas for their industry. They’re experts in their field with the vision and resources you need to change everything. All that’s left is the right team to bring that vision to life. If you’re a fast learner and you love working on a wide variety of projects, you’re going to like it here. We help our clients modernize, rather than rebuild, outdated customer-facing software applications. Our clients see a return within weeks instead of months and that’s why they choose us. At Praxent , we let you do your work your way. We’re a team of 200+ located throughout the United States and Central/South America. Our role is to encourage you, support you, and give you the freedom you need to thrive. Whether you’re working at home, in a coffee shop, or heck, even on your travels, we’re here to create an environment that lets you live your best life. On your terms. This role has been categorized as a Remote position. “Remote” employees do not have a permanent corporate office workplace and, instead, work from a physical location of their choice which must be identified to the Company. Employees may live in the following locations: Mexico, Colombia, or El Salvador. Your Mission : Enhance the team’s capacity to deliver assigned stories by end of sprint Cultivate Camaraderie: Ensure that Core Values are living and breathing thro

The QC Specialist is responsible for planning, executing, and documenting Testing activities for EDC and other systems. This role ensures that systems are tested and programmed to specification, supporting regulatory requirements and high-quality clinical trial data collection. The QC Specialist works closely with Data Management, Database Development, and external partners to verify that system builds meet specification expectations prior to study deployment. and programmed to specification, supporting regulatory requirements and high-quality clinical trial data collection, and external partners to verify that system builds meet specification expectations prior to study deployment. Originally posted on Himalayas

Our team members are at the heart of everything we do. At Cencora, we are united in our responsibility to create healthier futures, and every person here is essential to us being able to deliver on that purpose. If you want to make a difference at the center of health, come join our innovative company and help us improve the lives of people and animals everywhere. Apply today! Job Details Cencora is seeking a Corporate Counsel II (Senior Counsel) with experience advising and providing strategic leadership in data governance, privacy, cybersecurity, and AI as they apply to our Managed Services Organization (“MSO”), which serves clinical practice groups in the retinal space across the United States. This role reports to the Assistant General Counsel, Privacy, Responsible Data, & Technology within Cencora’s legal team and serves as a key legal resource to MSO legal and business teams on the design, launch, and operation of MSO technology-based services, including the collection, use, sharing, and protection of sensitive health information and other regulated data. This role requires an energetic, agile legal expert who will collaborate closely with our MSO medical professional teams, clinical operations, product/technology experts, information security, compliance, and commercial teams to enable MSO offerings while managing risk in a highly regulated healthcare environment. The successful candidate will deliver business-oriented legal services and project management across M

Streaming Data Engineer – Remote Bright Vision Technologies is a technology consulting and software development company delivering cloud, AI, data, and enterprise solutions across the United States. This is a fantastic opportunity to join an established and well-respected organization offering tremendous career growth potential. Job Title: Streaming Data Engineer Location: 100% Remote (U.S.) Position Type: Full-time, Direct W2 Salary Range: $78,000–$105,000 Annually Experience Required: 6+ years Sponsorship: U.S. Citizens, Green Card Holders, EAD Holders, and H-1B transfer candidates are encouraged to apply. We are unable to sponsor new H-1B visa petitions for this position. Job Summary We are seeking an experienced Streaming Data Engineer to architect, deploy, and operate large-scale Apache Kafka and Confluent platform environments supporting mission-critical event-driven workloads. In this role you will own the Kafka platform end-to-end, including cluster sizing, configuration, security, automation, observability, and developer enablement. The ideal candidate will combine deep Kafka internals knowledge with strong DevOps and SRE practices, and will partner with application teams to deliver a reliable, performant, and developer-friendly streaming platform. In this role you will work closely with cross-functional partners — product, design, engineering, operations, and business stakeholders — to translate ambiguous requirements into well-engineered solutions, and will be expe

🌟 Ready to help reshape a $26B industry and build the future of branded merch? commonsku is revolutionizing the promotional products industry. Our platform empowers branded merch distributors to work smarter — managing projects, building quotes, placing orders, and collaborating with clients and suppliers seamlessly through the power of the Connected Workflow. We’re a remote-first, community-driven team obsessed with elevating our customers, their clients, and the broader industry. Our values – Community First, Ten Steps Ahead, Fast Forward, and Delightful Work – guide us. We believe you can innovate, push forward, and do more, while also sharing a laugh, supporting your colleagues, and having a life outside of work. We’re also proud to be officially recognized as aCertified Great Place to Work® in Canada. If you’re energized by ambitious work, creative collaboration, and helping to build something great, you’ll want to keep reading. 🚀 About the Role: Engineering Manager, Data We’re growing — and we’re hiring an Engineering Manager, Data to join our Engineering team! In this role, you’ll help us build reliable data pipelines, deliver actionable reporting and analytics, and guide the people and technical strategy of our Data team. You’ll collaborate closely with teammates across Product Management, Design, Customer Success, and broader engineering teams, contribute to a high-trust environment, and play a direct role in shaping the future of the industry 💡 About You You’re n