Remote Data Engineering & Analytics Jobs

Arcadia is dedicated to happier, healthier days for all. We believe that there is a better healthcare world – one powered by data. Our platform transforms complex, diverse data into a unified foundation for health, helping organizations deliver better care, boost revenue, and lower costs. We’re a team of fiercely driven individuals committed to making healthcare more sustainable—and we’re looking for passionate people to help us get there. For more information, visit . Why This Role Is Important to Arcadia Arcadia 's data platform powers population health analytics for health plans, ACOs, and provider groups across the country. As a Lead Analytics Engineer — Data Modeling & Quality, you sit at the intersection of data quality ownership and analytical data modeling. You'll own the SQL and DBT layer that transforms raw clinical and claims data into trusted, production-grade datasets, while also serving as the quality authority for the data those models produce. This is a hybrid role — deeper SQL and DBT expertise than a traditional Data Health Professional, with a more analytical and model-focused scope than a Data Engineering role. You're less focused on pipeline infrastructure and more on the logic, shape, and trustworthiness of the data itself. What Success Looks Like In 3 months Independently triage and resolve pipeline data quality issues Author at least one new DBT model or refactor an existing one to meet current modeling standards Design a DBT test suite for a set o

The Role We Need PadSplit is growing its analytics platform and needs a hands-on Data Engineer to work alongside our existing DE lead. This person will build and maintain ingestion and transformation pipelines across Dagster (or Airflow), dbt, and Snowflake, with supporting work in Python, Airbyte, and AWS. The role combines building new pipelines and data models with providing real coverage on critical paths — especially the daily Postgres → Snowflake → dbt flow and third-party API loads — all shipped through reviewed pull requests rather than one-off scripts. The Person We Are Looking For We're looking for a practitioner who thinks natively in dimensions, facts, and slowly changing dimensions — someone who knows when to use a full refresh versus an incremental load and how that choice affects idempotency and backfills. This person writes clear, reviewable PRs and gives equally thoughtful reviews, with attention to scoped diffs, sensible tests, and failure modes. They're comfortable in complex Python data flows and have enough AWS literacy to reason about task roles, buckets, and cross-account access without needing to own all of platform engineering. Here's What You'll Be Doing Day-to-Day: PR-driven shipping: Opening and merging pull requests for new or updated Dagster jobs, assets, schedules, and sensors, plus dbt models, tests, and documentation. Infrastructure tweaks: Writing occasional Terraform for secrets, environment variables, or job sizing when a pipeline needs it.

Join us as we work to create a thriving ecosystem that delivers accessible, high-quality, and sustainable healthcare for all. Business Title Lead Data Engineer, Data Imports and Migrations Role summary: You will help move healthcare data into athenahealth systems with accuracy, consistency, and care. In this remote-US role, you will design and support data import, migration, transformation, and export processes that help practices transition from legacy EHR environments to athenahealth . You will work across sales, product, and operational teams to support reliable data movement, issue resolution, and validation. This position is based remotely in the United States. Team summary: The Data Imports and Migrations team supports customer implementations and data transition efforts by building repeatable, scalable processes for bringing in and transforming legacy healthcare data. The team works closely with product, implementation, engineering, and operations partners to define migration approaches, create ETL routines, validate data quality, and support export activities. The work is focused on delivering dependable data movement that helps customers get started on athenahealth with greater confidence and less disruption. Essential Job Responsibilities: Develop and support ETL workflows that extract, transform, and load data from legacy EHRs systems into athenahealth environments. Write and maintain functions used for data analysis, validation, reconciliation, and troubleshooting

Work From HomeWork From Home Work From Home, Indiana 46544 We are seeking a DevOps Engineer to design, automate, and scale the deployment and operation of our enterprise data and analytics platforms, including but not limited to SQL, Azure/Fabric, Power BI, Tableau, Databricks, and Epic Cogito. This role will establish and manage CI/CD pipelines, infrastructure-as-code (IaC), and source control practices across analytics and data engineering teams, enabling reliable, repeatable, and auditable delivery of code and data assets. You will own the administration and optimization GitHub (including migration from Azure DevOps), implement release management processes, and standardize environment promotion strategies (dev, test, prod). You will also introduce new source control processes for gaps in our current strategy as defined. Working closely with BI, data engineering, and cloud teams, you will drive automation, improve platform reliability, and introduce best practices for version control, monitoring, and secure deployment across the analytics ecosystem. WHO WE ARE With 12 ministries and access points across Indiana and Illinois, Franciscan Health is one of the largest Catholic health care systems in the Midwest. Franciscan Health takes pride in hiring coworkers that provide compassionate, comprehensive care for our patients and the communities we serve. PREFERRED CI/CD platform administration and implementation experience with tools such as Azure DevOps, GitHub, Microsoft Fabri

About the job Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark , General Catalyst , Peter Thiel , Adam D'Angelo , Larry Summers , and Jack Dorsey . Position: Data Science Expert Type: Contract Compensation: $120–$170/hour Location: Remote Role Responsibilities Design precise, task-specific grading criteria for real-world data science deliverables, including analyses, models, dashboards, and experiment readouts. Score AI-generated and human work samples against established criteria with detailed, well-reasoned written justifications. Apply consistent, evidence-based judgment to ensure scores are reproducible and defensible. Incorporate structured feedback from senior reviewers and iterate quickly on your work. Collaborate with AI research teams to improve training data quality and downstream performance. Qualifications Must-Have 5+ years of professional data science experience in industry. Background in business operations, product, or growth data science at top-tier technology companies. Deep fluency in experiment design, A/B testing , metric definition, SQL/Python analysis, and communicating findings to executive stakeholders. Exceptionally strong written communication. Detail-oriented, consistent, and comfortable having your judgment reviewed and calibrated against peers. Preferred Prior experience with AI training , evaluation, or human-data projects. Application Process (Take

We are looking for AI Data Specialists to support the improvement of AI-generated content in Marathi . Job Type: Freelance Location: Work from home Work Schedule: Part-time - 10+ hours per week. Flexible - work whenever you want. Start Date: Immediately Duration: TBC Rate: 4 USD per hour (rates vary per country. If you are based elsewhere, the rates will be different) Help Shape the Future of AI Are you a student, recent graduate, stay-at-home parent, gig worker, or professional seeking flexible remote work? Are you interested in shaping the development and safety of today’s AI models? What You’ll Do The role involves performing diverse data-related tasks, including: Data collection, evaluation, and annotation. Pairwise comparisons. Counting tasks. Object tagging and labeling across different content types (audio, video, images, or collected data) What we’re looking for: - Native-level fluency in Marathi - English Proficiency: Fluent or advanced proficiency in English (levels B2–C2) - AI & Data Capabilities (Preferred): Experience in one or more of the following areas: machine learning tasks, data collection and preprocessing, data evaluation and quality assurance, and data annotation and labeling. What We Offer Flexible schedule Opportunity to earn extra income Timely payments The job is ideal for students, part-timers, or stay-at-home parents Vendor Type When applying, please select the option that best describes your working status. Are you a Freelancer or Private Indi

GitLab is the intelligent orchestration platform for DevSecOps. GitLab enables organizations to increase developer productivity, improve operational efficiency, reduce security and compliance risk, and accelerate digital transformation. More than 50 million registered users and more than 50% of the Fortune 100* trust GitLab to ship better, more secure software faster. The same principles built into our products are reflected in how our team works: we embrace AI as a core productivity multiplier, with all team members expected to incorporate AI into their daily workflows to drive efficiency, innovation, and impact. GitLab is where careers accelerate, innovation flourishes, and every voice is valued. Our high-performance culture is driven by our values and continuous knowledge exchange, enabling our team members to reach their full potential while collaborating with industry leaders to solve complex problems. Co-create the future with us as we build technology that transforms how the world develops software. * Fortune 500® is a registered trademark of Fortune Media IP Limited, used under license. Claim based on GitLab data. Fortune 100 refers to the top 20% ranked companies in the 2025 Fortune 500 list, published in June 2025. Fortune and Fortune Media IP Limited are not affiliated with, and do not endorse products or services of GitLab. An Overview of this Role As Senior Manager, Data Science, you'll lead Product Data Science: a team of 6 Data Scientists within GitLab's data o

<p> </p> <p><strong>Who we are</strong></p> <p><span data-path-to-node="12,1"><span class="citation-119">Ranked in 2024 by the Financial Times, Moniepoint is Africa’s fastest-growing fintech, trusted by over 10 million business and individual accounts, processing billions of Naira in transactions monthly</span></span><span data-path-to-node="12,3">. </span><span data-path-to-node="12,5"><span class="citation-118">Our mission is to enable financial happiness for every African, everywhere</span></span><span data-path-to-node="12,7">.</span></p> <p data-path-to-node="6"><strong data-path-to-node="6" data-index-in-node="0">About this role:</strong></p> <p id="p-rc_0cd24779a7324afc-115" data-path-to-node="7"><span data-path-to-node="7,0">We're looking for a Data Scientist to sit at the heart of how we fight fraud — building the models, experiments, and detection systems that protect millions of customers and merchants across our platform</span><span data-path-to-node="7,2">. This is a high-impact role at the intersection of machine learning, product, and engineering, where your work will directly shape how Moniepoint detects and responds to emerging fraud threats<

At CI&T, we help large enterprises transform the potential of AI into real business impact with AI Deployment, AI-native execution, and tech-integrated business solutions. With 30 years of experience in technological transformation, we accelerate innovation with expertise in Agentic SDLC, Application modernization, Data & AI, Martech and Business strategy. We are 8,000 CI&Ters across more than 25 countries, collaborating to build solutions with real impact. AI is already part of how we work, evolve, and innovate every day. We are looking for a Data Architect with strong AWS expertise to drive the strategy, development, and execution of our enterprise data platforms and analytics products. In this role, you will bridge the gap between business stakeholders, data engineers, and data science teams to transform raw data assets into scalable, high-value data products. You will leverage cloud-native AWS services to manage the product lifecycle from discovery to rollout, ensuring high data quality, governance, and business impact. Responsibilities: Product Strategy & Roadmap: Define the vision, roadmap, and KPIs for data products (data pipelines, data lakes, analytics dashboards, and AI/ML data features) on AWS. Stakeholder Alignment & Discovery: Work with business leaders, domain experts, and engineering teams to identify high-impact use cases, translate business requirements into technical epics, and prioritize the backlogs. AWS Data Ecosystem Management: Overs

About Backblaze Backblaze is the object storage leader in the open cloud movement, fueling customer success with cloud storage built purposefully to unlock budgets, unburden administrators, and unleash innovators. Together with our partners, we’re helping customers break free from the restrictive, overpriced legacy solutions that hold them back, and blaze forward with the full power of the open cloud in their hands. Founded in 2007, we scaled the business with less than $3 million in outside funding until 2021, when we did a traditional IPO on the Nasdaq stock exchange. Today, Backblaze generates over $100m in revenue and is the leading specialized storage cloud - managing over three billion gigabytes of data storage for 500K+ customers in 175+ countries, including businesses, developers, IT professionals, and individuals. Want to know what you’ll be doing? You will work on our data infrastructure platform which supports the B2 Object Storage and Computer Backup products, responsible for the data infrastructure that everything runs on. You will help improve automation, observability and stability for durability, increase throughput, and drive architectural changes to support the long term requirements of our service. Responsibilities: Design and build automation frameworks that let other engineers provision, configure, and repair fleet infrastructure themselves Design and extend the observability stack (metrics, logs, traces, alerts) that tells us whether the storage platform

At HCSC, our employees are the cornerstone of our business and the foundation to our success. We empower employees with curated development plans that foster growth and promote rewarding, fulfilling careers. Join HCSC and be part of a purpose-driven company that will invest in your professional development. Job Summary This position is responsible for leading the development of functional and non-functional business requirements, leveraging preferable experience with the following: Healthcare IT/Data, knowledge of FHIR interoperability standards, and experience with Blue Cross Blue Shield plans. Responsibilities include: Job Description * Participate in strategy discussions and other business unit (BU) discussions to understand and capture high level business needs * Assist both innovation and strategy development with subject matter expertise, when appropriate * Responsible for the development of user stories and user acceptance criteria for Epics to drive planning for the data component of projects and programs * Lead the gathering, analysis, documentation, and communication of business and technical requirements for new solutions * Work with Application Architect, Solutions Architect, or Data Architect to translate requirements into functional / technical specs * Identify key healthcare, innovation and technology trends and analyze the potential implications for the curation of data products valuable to the business * Validate business and technical requirements are met du

Company Overview: Our company is a start-up that specializes in episodes of care benefit plans. We have a deep expertise in episode pricing and analytics and our goal is to bring transparency and efficiency to the healthcare market. Our company is committed to providing high-quality, affordable healthcare to our customers. Role Description The Data Integration Engineer for Healthcare Transactions is a hands-on software engineer responsible for designing, building, and operating the data pipelines and integrations that move healthcare data, including claims, enrollment, and other transactions, into and out of the organization's systems. This is an individual contributor role on the engineering team: this person writes the code, mappings, and tests behind each feed, deploys it to production, and owns its reliability from there. The ideal candidate is an engineer who knows healthcare data standards in detail and treats integrations as production software. Responsibilities Design, build, test, and deploy inbound and outbound data pipelines with providers, payers, vendors, and network partners, covering Claims and Billing files, Provider Directory files, NPPES, ICD10 and other data sources. Write the parsing, mapping, and transformation logic in Python and SQL that validates, normalizes, and loads partner data into internal data models. Build and maintain the APIs and services that move integrated data into billing and other core systems. Build automated data quality checks, valid

Dandy is transforming the massive and antiquated dental industry—an industry worth over $400B. Backed by some of the world’s leading venture capital firms, we’re on an ambitious mission to simplify and modernize every function of the dental practice through technology. As we expand our reach globally, Dandy is building the operating system for dental offices around the world—empowering clinicians and their teams with technology, innovation, and world-class support to achieve more for their practices, their people, and their patients. About the Role Dandy is hiring a hands-on Senior Data Engineer to join our rapidly growing venture-backed company. The Data Infrastructure team owns the data platform — ingestion, pipelines, and the warehouse feeding downstream tools like Looker and Hex — that Sales, Marketing, Manufacturing, People, Finance, and ML teams rely on every day. In this role, you'll build and scale the infrastructure that turns raw data into trusted, self-serve data products, and help lay the foundation for an AI/agent-ready data platform. It's a rare chance to have outsized, ground-floor impact on how the entire company works with data. This role will be remote based in Ontario, Canada. What You'll Do Design, build, and operate ingestion pipelines and connectors (e.g., Fivetran, dbt, BigQuery) that reliably land data from disparate source systems into our warehouse Own and evolve core platform components — dbt models and the semantic layer,

The Role We Need PadSplit is growing its analytics platform and needs a hands-on Sr. Data Engineer to work alongside our existing DE lead. This person will build and maintain ingestion and transformation pipelines across Dagster (or Airflow), dbt, and Snowflake, with supporting work in Python, Airbyte, and AWS. The role combines building new pipelines and data models with providing real coverage on critical paths — especially the daily Postgres → Snowflake → dbt flow and third-party API loads — all shipped through reviewed pull requests rather than one-off scripts. The Person We Are Looking For We're looking for a practitioner who thinks natively in dimensions, facts, and slowly changing dimensions — someone who knows when to use a full refresh versus an incremental load and how that choice affects idempotency and backfills. This person writes clear, reviewable PRs and gives equally thoughtful reviews, with attention to scoped diffs, sensible tests, and failure modes. They're comfortable in complex Python data flows and have enough AWS literacy to reason about task roles, buckets, and cross-account access without needing to own all of platform engineering. Here's What You'll Be Doing Day-to-Day: PR-driven shipping: Opening and merging pull requests for new or updated Dagster jobs, assets, schedules, and sensors, plus dbt models, tests, and documentation. Infrastructure tweaks: Writing occasional Terraform for secrets, environment variables, or job siz

The Data Entry Typist is responsible for accurately entering, updating, and maintaining information in digital databases and systems. This role requires strong attention to detail, fast and accurate typing skills, and the ability to manage confidential information with discretion. The ideal candidate is organized, dependable, and able to work independently or as part of a team. Key Responsibilities Enter, update, and maintain data in company databases, spreadsheets, and computer systems. Review documents for completeness and accuracy before entering information. Verify data by comparing it to source documents and correcting any discrepancies. Retrieve data as requested by authorized personnel. Maintain organized files and ensure data integrity and security. Prepare and sort documents or materials for data entry. Follow company procedures and data management policies. Generate reports and perform basic administrative tasks as needed. Meet daily or weekly productivity quotas and deadlines. Qualifications High school diploma or equivalent (Associate degree preferred). Proven experience as a Data Entry Clerk, Typist, or similar role. Fast and accurate typing skills (typically 40–60+ WPM). Strong attention to detail and excellent organizational skills. Proficiency with Microsoft Office (Word, Excel) and data-entry software. Ability to maintain confidentiality with sensitive information. Good communication and time-management skills. Ability to work independently or in a team envir

We are seeking an entrepreneurial and highly collaborative Product Manager to lead the development, launch, and growth of the North American TecDataHub platform while also owning the OptiCat MCP product initiative. This role will be responsible for defining product strategy, managing the roadmap, translating market needs into product requirements, coordinating cross-functional delivery teams, and driving commercial success. The Product Manager will serve as the primary business owner for both initiatives and will work closely with customers, data operations, engineering, sales, marketing, and executive leadership. The ideal candidate combines strong automotive aftermarket expertise with product management discipline, technical curiosity, and the ability to connect customer requirements with scalable solutions. Key Responsibilities Product Strategy & Vision Own the product vision, roadmap, and business objectives for North American TecDataHub and OptiCat MCP. Translate business goals into clear product strategies and executable roadmaps. Define product positioning, value propositions, and go-to-market priorities. Develop annual and quarterly product plans aligned with company growth objectives. Monitor industry trends, competitor offerings, customer feedback, and Auto Care standards developments. TecDataHub Ownership Lead development of the North American TecDataHub platform as the industry's neutral data utility. Drive the adoption of TecDoc methodologies while ensuring A

Veeam is the Data and AI Trust Company, specializing in helping organizations ensure their data and AI are fully understood, secured, and resilient to enable the acceleration of safe AI at scale. As the market leader in both data resilience and data security posture management, Veeam is built for the convergence of identity, data, security, and AI risk. Headquartered in Seattle with offices in more than 30 countries, Veeam protects over 550,000 customers worldwide, who trust Veeam to keep their businesses running. Join us as we go fearlessly forward together, growing, learning, and making a real impact for some of the world’s biggest brands. About the Role: Veeam, following its acquisition of Securiti AI - the leader in AI-powered data security posture management (DSPM) - is seeking experienced Sales Specialists to drive growth in this innovative business. In this role, you will focus exclusively on Securiti AI solutions, working closely with Veeam account executives to cross-sell into Veeam’s customer base, win new business, and expand existing Securiti AI accounts. You’ll have a shared territory with multiple AEs, strong earning potential, and support from a dedicated Securiti AI solution engineer for technical engagements. You’ll also benefit from Veeam’s robust go-to-market resources to ensure customer success. What You’ll Do: Develop and execute a territory plan to drive repeatable revenue within assigned accounts. Collaborate with account executive

🌍 Hello World! We are The Codest - International Tech Software Company with Partners tech hubs in Poland delivering global IT solutions and projects. Our core values lie in “Customers and People First” approach that prioritises the needs of our customers and a collaborative environment for our employees, enabling us to deliver exceptional products and services. Our expertise centers on web development, cloud engineering, DevOps and quality. After many years of developing our own product - Yieldbird, which was honored as a laureate of the prestigious Top25 Deloitte awards, we arrived at our mission: to help tech companies build impactful product and scale their IT teams through boosting IT delivery performance. Through our extensive experience with product development challenges, we have become experts in building digital products and scaling IT teams. But our journey does not end here - we want to continue our growth. If you’re goal-driven and looking for new opportunities, join our team! What awaits you is an enriching and collaborative environment that fosters your growth at every step. We are currently looking for: SENIOR DATA ENGINEER Here, you will have an opportunity to contribute to a banking platform for one of Japan’s leading financial groups. The platform includes banking modules, data management features, and customer-facing applications. The Data Flow Team supports the Fund Administration domain, integrating internal, vendor-hosted, and third-party systems. Data

We are looking for a Senior Data Steward to support data governance , data quality , and regulatory compliance initiatives in a banking environment. The role focuses on BCBS239 -related activities, including resolving data quality issues, maintaining business glossaries, implementing data quality controls, and defining data lineage in close collaboration with business and technology stakeholders. Key Responsibilities: Support data governance , data quality , and regulatory compliance initiatives Contribute to BCBS239 activities, including data quality issue resolution and control implementation Maintain business glossaries and document data lineage Collaborate with business and technology stakeholders to improve data management practices Translate business needs into technical requirements and support delivery using SQL , JIRA , and Confluence Must-Have Requirements: Experience in data governance , data management, or similar roles Experience in the banking or financial services industry Strong SQL skills and data analysis capabilities Understanding of data warehousing and reporting concepts Knowledge of database structures Experience with MS Office , JIRA , and Confluence Strong analytical and problem-solving skills Ability to translate business needs into technical requirements Excellent communication skills Fluent English written and spoken Nice to Have: Regulatory reporting experience Knowledge of BCBS239 Business knowledge of banking products, systems, and processes Expe

At CI&T, we help large enterprises transform the potential of AI into real business impact with AI Deployment, AI-native execution, and tech-integrated business solutions. With 30 years of experience in technological transformation, we accelerate innovation with expertise in Agentic SDLC, Application modernization, Data & AI, Martech and Business strategy. We are 8,000 CI&Ters across more than 25 countries, collaborating to build solutions with real impact. AI is already part of how we work, evolve, and innovate every day. We are looking for a Data Architect with strong AWS expertise to drive the strategy, development, and execution of our enterprise data platforms and analytics products. In this role, you will bridge the gap between business stakeholders, data engineers, and data science teams to transform raw data assets into scalable, high-value data products. You will leverage cloud-native AWS services to manage the product lifecycle from discovery to rollout, ensuring high data quality, governance, and business impact. Responsibilities: Product Strategy & Roadmap: Define the vision, roadmap, and KPIs for data products (data pipelines, data lakes, analytics dashboards, and AI/ML data features) on AWS. Stakeholder Alignment & Discovery: Work with business leaders, domain experts, and engineering teams to identify high-impact use cases, translate business requirements into technical epics, and prioritize the backlogs. AWS Data Ecosystem Management: Overs

Key Responsibilities • Support the delivery of a data migration project using Boomi DataHub. • Design, configure and implement DataHub solutions. • Ensure data quality, governance and consistency throughout the migration process. • Collaborate with technical and business stakeholders to define and execute migration activities. Required Skills • Proven hands-on experience with Boomi DataHub. • Previous involvement in data migration projects using Boomi DataHub. • Strong understanding of data integration, data quality and master data management concepts. • Good communication skills and ability to work with distributed teams. Nice to Have • Broader experience within the Boomi platform (Integration, Master Data Management, APIs, etc.). • Experience working in consulting or customer-facing environments What can you expect from us? Mind-blowing workplace culture. You will be integrated in a professional, dynamic and collaborative team. 100% Remote opportunities We want you to have the flexibility to work where you feel most comfortable and productive. International Career You can expect professional growth and to be connect with the world. We are represented in Portugal, Belgium, Luxembourg, and Denmark. And with projects in many other countries: Netherlands, Luxembourg, Singapore and in the United States of America (and a lot more is coming…) Extra Benefits & Perks If you wish to work with us and you are outside European Union (good news…) we are a Tech Visa Company, We will h

*CANDIDATES MUST BE LOCATED IN THE UNITED STATES OR CANADA** About SafelyYou SafelyYou ’s passionate mission is to empower safer, more person-centered care across senior living through world-leading AI, industry-changing hardware, and remote expert clinicians, significantly improving outcomes for residents while increasing peace of mind for families and reducing costs for communities. Originating in 2015 as the doctoral research of CEO George Netscher—and inspired by his own family's experience with Alzheimer's disease— SafelyYou was spun out of UC Berkeley’s Artificial Intelligence Research Lab, one of the top five AI research groups in the world. And today, our company is solving critical challenges in senior living, from resident falls and ER visits to staffing concerns, length of stay, and NOI. All helping ensure that communities can focus on improved care for residents while still reaching their financial goals. SafelyYou is one of five most innovative fall technologies referenced in the Senate Falls Report (2019), a winner of the McKnight’s Tech Partner of the Year, and has been named to Fortune’s Impact 20 list, which recognizes companies making people’s lives better through innovation. Your Role at SafelyYou As a Data Integration Engineer at SafelyYou , you will be the subject matter expert behind how our internal systems communicate with the outside world. You will design, build, and operate robust integration pipelines that transform data between our internal event-

Are you ready to trade your job for a journey? Become a FlyMate! Passion, excitement & global collaboration are all core to what it means to be a FlyMate. At Flywire , we’re on a mission to deliver the world’s most important and complex payments. We use our Flywire Advantage - the combination of our next-gen payments platform, proprietary payment network and vertical specific software, to help our clients get paid, and help their customers pay with ease - no matter where they are in the world. What more do we need to truly be unstoppable? Perhaps, that is you! Who we are: Flywire is a global payments enablement and software company, founded more than a decade ago to solve high-stakes, high-value payments. We’ve scaled into new regions and industry verticals and expanded our product offerings to deliver meaningful value to our clients around the world. Today we support more than 5,100 clients across the global education, healthcare, travel & B2B industries, with diverse payment methods across 240 countries & territories and more than 140 currencies. With over 1,400+ global FlyMates, representing more than 40 nationalities, and in 15 offices world-wide, we’re looking for FlyMates to join the next stage of our journey as we continue to grow. The Opportunity Flywire is seeking a strategic and detail-oriented Payment Operations Associate, Data Operations. You will play a pivotal role in scaling our payment architecture, ensuring the flawless execution of high-volume in

IMPORTANT Application note Please apply only through this job portal. Kindly do not send applications or recruitment messages by email or LinkedIn. Only applications submitted through the portal will be considered. Thank you. About AgentixLake AgentixLake GmbH is a Data and AI engineering consultancy based in Hamburg, Germany. We design, build and operate production-grade data platforms and AI systems in our customers’ cloud accounts or on-premises environments. We are an AWS Services Partner and a Certified Services Partner in Anthropic’s Claude Partner Network. Our commercial focus is DACH and the Gulf region, alongside selected international opportunities. Your role Build the pipelines and data models that people can depend on. You will own defined components of our data engineering projects, from understanding a source system to delivering tested transformations and monitoring how they run. Our data platform engineering work connects operational systems with analytics and AI applications. Depending on the project, you will work with cloud warehouses, lakehouse architectures and the data quality and reliability practices that support production use. What you will do Build Python and SQL pipelines to ingest and transform data from APIs, databases, files or event sources. Develop data models and dbt transformations with clear definitions, tests and documentation. Implement incremental processing, schema checks and reconciliation so changes and data issues