Remote Data Engineering & Analytics Jobs

Band Level 7 Job Description Summary This position can be based remotely anywhere in the U.S. (there may be some restrictions based on legal entity). Please note that this role would not provide relocation as a result. The expectation of working hours and travel (do-mestic and/or international) will be defined by the hiring manager. This position will require 25% travel. Job description summary The Innovative Data Offerings and Products Lead is an Executive Director role responsible for setting the vision, roadmap, prioritization, and adoption strategy for innovative data products and offerings portfolio. The role oversees both the Innovative Data Products team and the Innovative Data Offerings team, ensuring investments align to business strategy, strengthen reusability, reduce duplication, and deliver measurable outcomes across customer, patient, commercial, and foundational data domains. Reporting to the Head of Data Partnerships, Innovation and Products, this lead-er establishes product management standards, governance, funding priorities, and the operating model for data products and innovative offerings. The role partners closely with business, analytics, technology, DEO, data teams, external data vendors, and technology vendors to maximize value from data assets, strengthen stakeholder engagement, and ensure the portfolio delivers meaningful business impact. Job Description Key Responsibilities: Set the vision, roadmap, prioritization, and adoption strategy for the ent

Mid-level Data Engineer – Big Data / Spark About the opportunity We are looking for a Mid-level Data Engineer to work on the development, maintenance, and optimization of data processing solutions on the Client Contribution platform. The professional will be responsible for building scalable pipelines, ensuring data quality, and contributing to the evolution of the Big Data architecture in an agile environment guided by good engineering practices. Responsibilities Develop, maintain, and optimize data processing solutions; Design and develop ETL and data transformation processes; Implement and maintain pipelines using Apache Spark; Support data integration initiatives between different systems; Analyze and resolve data-related incidents; Ensure the quality, performance, and reliability of data solutions; Work closely with multidisciplinary teams in an Agile environment. Mandatory requirements Minimum of 3 years of experience in Data Engineering and development; Solid knowledge in SQL, including: ANSI SQL; Hive SQL; Spark SQL; Experience with Apache Spark; Knowledge of at least one of the following languages: Scala; Python; Java; Experience with Big Data platforms, such as: Azure Databricks; Amazon EMR; Hive; Cloudera; or another Spark-based environment; Experience with Qlik Sense for developing reports and dashboards; Experience in Continuous Integration (CI), DevOps environments, and methodology

Data Analyst – Mapper Engine. About the Opportunity: We are looking for a Data Analyst to work on the Mapper Engine process, focusing on Market Risk. The professional will be responsible for mapping and transforming sensitivities for Value at Risk (VaR) calculations, parameterizing processes, and supporting critical risk processing routines in a highly complex environment. Responsibilities: Work on the Mapper Engine process; Perform the mapping and transformation of sensitivities for VaR (Value at Risk) calculations; Parameterize processes using SQL; Parameterize and administer processes in Control-M; Ensure the consistency and quality of information used in risk calculations; Analyze and propose improvements to data processes and automation; Work autonomously, contributing to the continuous evolution of solutions. Mandatory Requirements: Minimum of 3 years of experience as a Data Analyst; Proven experience in Market Risk; Knowledge of: Sensitivity mapping, Sensitivity transformation, VaR (Value at Risk) calculation; Experience with SQL for process parameterization; Experience with Control-M for process parameterization and automation; Proactive profile with autonomy and initiative. Advanced English, Spanish B2. Differentials: Experience in financial institutions, banks, or treasuries; Knowledge of financial products and derivatives; Experience with process automation and routine optimization.

About FastSpring : FastSpring is how AI, SaaS, gaming, software, and digital product companies sell online in more places around the world. We handle all payment needs from checkout to taxes so you can go farther faster. Founded in 2005, we are a privately owned company headquartered in Santa Barbara with offices in Amsterdam, Austin, Belfast, Dublin, Halifax, and Singapore. The Position: FastSpring is looking for a Senior Data Product Manager who has operated as a product innovator and data steward to drive both product innovation in analytics and trust for our sellers. FastSpring is a SaaS leader in subscription billing. This person will be responsible for executing the product strategy by discovering and delivering winning solutions that solve unmet needs, delights customers, and drive business growth. You will work cross-functionality with various teams and executives to identify market growth opportunities, prioritize features, and execute go-to-market strategies. This role will report to the VP of Product who reports to the CPTO. Responsibilities: Define, evangelize, and execute a data product roadmap that services our sellers needs by providing actionable insights in and out of the FastSpring ecosystem. Gather data use cases for both external and internal customers to craft a next generation data warehouse for improved efficiency and performance and partner with data engineering to implement it. Identify and prioritize new product opportunities based on internal and ex

We are looking for a Junior Data Engineer who will be responsible for monitoring production pipelines, solving incidents, improving stability, and ensuring smooth daily data operations. Perform daily monitoring checks of ETL pipelines and reporting processes Provide incident support, investigation, and resolution Drive continuous improvements across the production environment Prevent, detect, and capture data processing failures Ensure proper communication and documentation of all operational activities Monitor and report on KPI metrics, including % availability of datasets Manage operational tickets (creation, assignment, follow‑up, resolution) Maintain and update the internal Knowledge Base must have: Strong knowledge of Azure Data Factory, including flat‑file ingestion and processing Experience with Power BI, including: Report building Tabular model development and transformations Permissions and workspace management Proficiency in T‑SQL Hands‑on experience with Azure Monitor Strong communication skills We hereby inform you that Inetum Polska sp. z o.o. has implemented an internal reporting (whistleblowing) procedure. The content of the procedure and the possibility to submit an internal report are available at: Inetum Polska is part of the global Inetum Group and plays a key role in driving the digital transformation of businesses and public institutions. Operating in cities such as Warsaw, Poznan, Katowice, Lublin, Rzeszow, Lodz the company offers a wide range of IT serv

About Carrot: Carrot is the leading global fertility and family care platform, built on intelligent care orchestration: the right clinical guidance, at the right moment, in the context of each member’s life. More than a thousand multinational employers, health plans, and health systems trust Carrot to support millions of members across 195 countries – from pre-pregnancy through menopause and major life moments in between. Carrot's comprehensive clinical program delivers industry-leading cost savings for plan sponsors and award-winning experiences and improved outcomes for millions of people worldwide. Carrot is widely regarded as a defining force in healthcare innovation as a recipient of several top-tier awards, including Fast Company's 'Most Innovative Companies' and CNBC's '100 Barrier Breaking Startups'. The company is regularly cited by leading global outlets — including The Economist, Bloomberg, The Wall Street Journal, NPR, ABC News, and Harvard Business Review — as a leading voice on digital health, the future of work, and family health. Learn more at . The Opportunity 🚀 Carrot is seeking a Sr. Manager, Data Engineering to lead our Business Intelligence data engineering function as it scales to meet, and anticipate, the needs of the organization and its clients. This is a senior player/coach role with a strong emphasis on strategic leadership, technical excellence, and organizational impact. You will lead and grow a high-impact team while remaining deeply hands-on in

About AlphaSense : The world’s most sophisticated companies rely on AlphaSense to remove uncertainty from decision-making. With market intelligence and search built on proven AI, AlphaSense delivers insights that matter from content you can trust. Our universe of public and private content includes equity research, company filings, event transcripts, expert calls, news, trade journals, and clients’ own research content. The acquisition of Tegus by AlphaSense in 2024 advances our shared mission to empower professionals to make smarter decisions through AI-driven market intelligence. Together, AlphaSense and Tegus will accelerate growth, innovation, and content expansion, with complementary product and content capabilities that enable users to unearth even more comprehensive insights from thousands of content sets. Our platform is trusted by over 6,000 enterprise customers, including a majority of the S&P 500. Founded in 2011, AlphaSense is headquartered in New York City with more than 2,000 employees across the globe and offices in the U.S., U.K., Finland, India, Singapore, Canada, and Ireland. Come join us! About the Team: Our diverse Product & Engineering team values innovation, collaboration, and the continuous improvement of our platform. We offer a dynamic work environment where employees can grow and thrive while working on cutting-edge technology that shapes the future of AI and search. At AlphaSense , we believe that diverse experiences and perspectives are cri

We are looking for a Microsoft Data Analyst | Power BI Expert. Knowledge of the Microsoft ecosystem is mandatory, so verifiable experience in our requirements is necessary. 100% remote | LATAM Payments in USD via Ontop Monday to Friday, 9h to 18h (Spain time) What are we looking for? A consultant with at least 3 years of hands-on experience in: Advanced Power BI: Power Query, DAX, Dataflows Gen1/Gen2, Deployment Pipelines - Design and implementation of solutions with Microsoft Fabric - Technical integration with internal and external teams - Diagnosis and resolution of technical problems - Client advisory and continuous updating on Microsoft trends - Advanced English (spoken and written, intermediate is acceptable) Bonus points for: - Knowledge in Power Platform - Handling of tools such as DAX Studio, Tabular Editor. Apply now! Originally posted on Himalayas

We are looking for a highly technical bilingual professional with experience in Oracle databases, ETL processes, and hospitality platforms such as OPERA and OHIP. This role is key for data migration, integration, and transformation projects in complex hospitality sector environments. Main Responsibilities: Design and execute advanced queries in SQL and Oracle DB (11g, 12c, 19c). Optimize database performance and extraction processes. Manipulate large volumes of data (XML, CSV, XLSX) using Python and Pandas. Create, validate, and modify XML structures for SOAP/REST services. Integrate data using the OXI interface and OHIP APIs (Reservation, Block, Customer). Participate in migration processes: mapping, validation, reconciliation. Technical Requirements: Mastery of Oracle DB and Python scripting. Knowledge of the OPERA V5 schema (training available). Hands-on experience with OXI and OHIP platforms. Familiarity with Opera Cloud structures and import methodologies. Strong understanding of ETL processes and data transformation. Additional Pluses: Previous experience in hotel environments or PMS platforms. Analytical capability and focus on continuous improvement. Autonomy to document processes and collaborate with international teams. Monthly payment in USD via Ontop. Full-time, remote schedule. Originally posted on Himalayas

Job Opportunity! Microsoft Data Analyst Consultant (100% Remote - All LATAM). We are looking for a solid, experienced Microsoft Data Analyst Consultant to join our team. If you are passionate about transforming data into value and master the Microsoft Fabric and Power BI ecosystem, this is your opportunity! What we are looking for: Experience: Minimum 3 years of hands-on experience in the indicated technologies. Essential: Advanced level in Microsoft Power BI (Power Query, DAX, Dataflows Gen1/Gen2, Deployment Pipelines). Experience in the design and development of solutions based on the Microsoft Fabric ecosystem. Ability to collaborate with internal and external teams. Provide technical support and troubleshooting. High level of English (oral and written). Desirable (A plus): Knowledge of other Microsoft Power Platform tools. Handling of external tools to Power BI (DAX Studio, Tabular Editor, etc.). Offer Conditions: Modality: 100% Remote (From anywhere in LATAM). Schedule: Monday to Friday, from 9:00h to 18:00h (Spain/CET time). Payment: Professional fees, monthly payments in $ (Dollars) through Ontop. Join an innovative team and continue growing professionally! Interested parties: Send updated CV to #MicrosoftDataAnalyst #PowerBI #MicrosoftFabric #DataAnalyst #RemoteWork #LATAM #RemoteJobs #DAX #PowerQuery #Ontop Originally posted on Himalayas

Mission The mission of Speechify is to make sure that reading is never a barrier to learning. Over 50 million people use Speechify 's text-to-speech products to turn whatever they're reading – PDFs, books, Google Docs, news articles, websites – into audio, so they can read faster, read more, and remember more. Speechify 's text-to-speech reading products include its iOS app, Android App, Mac App, Chrome Extension, and Web App. Google recently named Speechify the Chrome Extension of the Year and Apple named Speechify its 2025 Design Award winner for Inclusivity. Today, nearly 200 people around the globe work on Speechify in a 100% distributed setting – Speechify has no office. These include frontend and backend engineers, AI research scientists, and others from Amazon, Microsoft, and Google, leading PhD programs like Stanford, high-growth startups like Stripe, Vercel, Bolt, and many founders of their own companies. Overview We're looking for a Software Engineer - AI Data to join Speechify 's AI team and build the data pipelines that power our model training and next-generation AI products. We build high-quality datasets at petabyte scale and low cost by combining engineering, infrastructure, and research. We're looking for a strong software engineer who enjoys solving complex problems, exploring new data sources, and building systems that make AI training more efficient and scalable. What Yo u’ ll Do: Discover new sources of audio data and build reliable pipelines to bring the

About Integrate Integrate is a B2B demand orchestration platform that helps enterprise marketing teams capture, validate, and activate leads across every channel — turning fragmented demand generation into a unified, measurable pipeline. We’re Hiring: Lead Data Analyst – Technical Delivery Team Department: Technical Delivery Experience: 6+ Years Qualification: Engineering Graduates Only Location: Work From Home Shift: US Shift – 6:00 PM to 3:00 AM IST Notice Period: Immediate Joiners to 30 Days Job Description We are looking for skilled, analytical, and client-oriented Lead Data Analyst with strong SQL expertise and a good understanding of Python and Spark. This role focuses on translating customer business, reporting, and data-analysis requirements into accurate, scalable technical solutions. You will work closely with Customer Success Managers within the Technical Delivery team to understand requirements and develop custom reports, dashboards, widgets, data models, configurations, and other platform-based solutions. You will also collaborate with Product Engineering and Design teams to evaluate technical approaches, resolve platform challenges, and ensure smooth execution. This role is ideal for someone who enjoys combining data analysis, SQL, technical problem-solving, client communication, and cross-functional collaboration to deliver effective solutions. Key Responsibilities Engage directly with clients and Customer Success Managers to understand business, reporting, and

About the Role We are looking for an Embedded Python Data & Automation Engineer to take ownership of an existing Python environment, maintain production systems, improve automations and data pipelines, and develop internal tools and integrations. Key Responsibilities System Transition & Knowledge Absorption: Shadow the departing programmer and take ownership of the existing Python codebase. Production Support & Maintenance: Troubleshoot live issues, maintain existing systems, and ensure system stability. Data Pipelines & Automations: Maintain, debug, and improve data pipelines and scheduled automations. API & Integration Ownership: Maintain and extend APIs, third-party integrations, authentication flows, and webhooks. Technical Debt: Identify fragile systems, undocumented dependencies, and technical risks and improve them over time. Documentation: Create and maintain system documentation, workflow diagrams, dependency maps, and operating procedures. Internal Tooling: Build practical automation tools and internal software based on business needs. Engineering Practices: Use Git, pull requests, automated testing, changelogs, and staged deployments. Required Experience & Skills 3+ years of professional Python experience in a data-focused environment. Experience building or maintaining production data pipelines and automations . Strong experience with APIs, integrations, authentication, and webhooks . Experience working with an existing or legacy codebase .

Build What Matters at RevStar Position: Data & AI Forward Deployed Engineer Reports To: Product Manager/Engineering Lead Location : Remote Employment Type: Contract Job Summary At RevStar, we build cutting-edge cloud, data, and Generative AI solutions that transform how enterprise organizations operate. As an Advanced AWS Consulting Partner, we don’t just deliver code—we solve complex business problems, modernize legacy infrastructure, and deploy production-grade cloud native and AI applications that drive real business value. Above all, our team operates on three core principles: Self-Mastery: We hold a high bar for how we think, communicate, and improve. Ownership: We own outcomes, not just effort. Shared Destiny: We rise or fall together. We are seeking a Data & AI Forward Deployed Engineer (FDE) to join our Digital Solutions Practice. In this highly visible role, you will operate embedded directly at the intersection of enterprise cloud architecture, hands-on engineering, and client-facing delivery. As an FDE, you are both a master cloud builder and a trusted technical advisor. You will own the full delivery lifecycle for high-impact enterprise accounts—architecting resilient cloud-native environments, modernizing legacy infrastructure, and deploying state-of-the-art AWS Generative AI (Amazon Bedrock, Q, SageMaker) architectures. Simultaneously, you will drive AWS adoption and consumption growth by identifying new workloads, building POCs, and driving strategic te

Overview To be part of our organization, every employee should understand and share in the YNHHS Vision, support our Mission, and live our Values. These values - integrity, patient-centered, respect, accountability, and compassion - must guide what we do, as individuals and professionals, every day. ITS Lead Data Science Dev/Ops Engineer will be an experienced system administrator and DevOps engineer with aproven track record of managing distributed hardware and software environments, integrating emerging technologies and working within a collaborative development and analytics environment. The individual will be responsible for management of dedicated and virtual environments that run data science platforms using Kubernettes. The individual must have familiarity with both Linux and Windows environments. EEO/AA/Disability/Veteran Responsibilities System Management /DevOps Coordinates and supports Ubuntu Linux engineering and operations Deploying, managing and administering Kubernetes Manages container workloads (Kubernetes) Develops and supports Infrastructure as code (Python, Ansible, Helm, GitLab) Monitoring and alerting (Prometheus) Coordinates and supports Nutanix operations (management of virtual servers) Researches new technologies or methods to advance technical capabilities of the Co-op; Works with system owners to consult on system design and gather technical requirements fo rcomplex IT systems Experience designing to high availability and disaster recovery requireme

PENN Entertainment, Inc. is North America’s leading provider of integrated entertainment, sports content, and casino gaming experiences. From casinos and racetracks to online gaming, sports betting and entertainment content, we deliver the experiences people want, how and where they want them. We’re always on the lookout for those who are passionate about creating and delivering cutting-edge online gaming and sports media products. Whether it’s through Hollywood Casino, theScore Bet Sportsbook, or theScore media app, we’re excited to push the boundaries of what’s possible. These state-of-the-art platforms are powered by proprietary in-house technology, a key component of PENN’s omnichannel gaming and entertainment strategy. When you join PENN Entertainment’s digital team, you’ll not only work on these cutting-edge platforms through theScore and PENN Interactive, but you’ll also be part of a company that truly cares about your career growth. We’re committed to supporting you as you expand your skills and explore new opportunities. With locations throughout North America, you can build a future at PENN Entertainment wherever you are. If you want to challenge conventions in gaming, media and entertainment, we want to talk to you. About the Role & TeamAs a Senior Data Engineer, you’ll work hand-in-hand with the Data Services team to build, validate and deliver transformed data to meet stakeholder requirements. The ideal candidate has strong SQL skills, a passion for data, a t

Mission The mission of Speechify is to make sure that reading is never a barrier to learning. Over 50 million people use Speechify 's text-to-speech products to turn whatever they're reading – PDFs, books, Google Docs, news articles, websites – into audio, so they can read faster, read more, and remember more. Speechify 's text-to-speech reading products include its iOS app, Android App, Mac App, Chrome Extension, and Web App. Google recently named Speechify the Chrome Extension of the Year and Apple named Speechify its 2025 Design Award winner for Inclusivity. Today, nearly 200 people around the globe work on Speechify in a 100% distributed setting – Speechify has no office. These include frontend and backend engineers, AI research scientists, and others from Amazon, Microsoft, and Google, leading PhD programs like Stanford, high-growth startups like Stripe, Vercel, Bolt, and many founders of their own companies. Overview We're looking for a Software Engineer - AI Data to join Speechify 's AI team and build the data pipelines that power our model training and next-generation AI products. We build high-quality datasets at petabyte scale and low cost by combining engineering, infrastructure, and research. We're looking for a strong software engineer who enjoys solving complex problems, exploring new data sources, and building systems that make AI training more efficient and scalable. What Yo u’ ll Do: Discover new sources of audio data and build reliable pipelines to bring the

TFS HealthScience is a leading global mid-size Contract Research Organization (CRO) that partners with biotechnology and pharmaceutical companies throughout their entire clinical development journey. Our expertise includes full service-capabilities, resourcing and Functional Service (FSP) solutions. Join Our Team as a Clinical Database Programming Process Lead - home based in UK, Sweden, Germany, Spain, Portugal or Poland About this role As part of our CDS Group Management (Operations) team you will be working alongside passionate and innovative professionals to ensure our customers achieve their goals. The Clinical Database Programming Process Lead is responsible for the ongoing ownership, strategy, and development of a consistent, scalable and high-quality clinical database programming capability across TFS. The role combines: (1) enterprise subject matter expertise and capability ownership; (2) governance, quality and continuous improvement leadership; (3) senior technical and operational support across Business Units for complex issues, strategic priorities and agreed capacity gaps. Business Units retain accountability for study delivery and local resource management. What Will Make You Successful in This Role? Success in this role requires a strong combination of deep hands-on clinical database programming experience, strategy and change management, as well as leadership. You will be able to assess complex technical and operational challenges, provide pragmatic, complian

As the Manager, Data Science, you'll lead a team of data scientists as they apply data science to solve complex business problems. You’ll play a key role in shaping the direction of the Data Science organization by partnering with other leaders across the company and working alongside the Vice President of Data Science to evolve our practices, strategy, and impact. In this role, you’ll work across business and technology teams to align on a vision, influence priorities, and execute against high-impact initiatives. Just as importantly, you’ll help grow great people — creating an environment where team members can learn, develop, and do great work. About the role Lead and mentor a team of data scientists on performance, growth, production, and day-to-day responsibilities Partner across business and technology organizations to align on priorities, influence strategy, and execute against a shared vision Query, analyze, and summarize large and complex datasets to drive business strategy and decision-making Apply statistical analysis, machine learning, and predictive modeling techniques to solve business problems Support the development and scaling of internal and user-facing data products Work with team members and stakeholders to translate business processes and challenges tractable data science problems Monitor the performance of implemented solutions and conduct recurring evaluations to identify opportunities for improvement Generate simulations, experiments, and what-if analys

Who We Are PLATO is Canada’s largest Indigenous-owned software testing and technology services company. For nearly 30 years, our expert teams have helped our clients deliver reliable products that users enjoy interacting with. Our 100% Canada‑based team brings deep experience in QA, software testing, and IT services, along with a shared commitment to collaboration, mentorship, and continuous improvement. We’re a team that shows up for each other, whether that’s tackling complex client challenges or helping colleagues grow through coaching and knowledge‑sharing. As Canada’s largest Indigenous‑owned software testing company, we’re proud of our roots and our mission to build a stronger, more inclusive technology workforce. At the same time, we warmly welcome applicants of all backgrounds and experiences who are passionate about quality, teamwork, and making an impact. Duration: December 2026- March 2027 (good likelihood of being extended) The Opportunity: The Data Engineer will build Silver layer conversion and scheduling pipelines in the medallion Lakehouse on Microsoft Fabric. They will transform Bronze data into cleansed, conformed Silver datasets and orchestrate their execution reliably. Security Clearance requirement: Active Reliability and eligible for Secret clearance Responsibilities: Develop Silver layer conversion and transformation pipelines using Microsoft Fabric, Azure Data Factory, Spark and Delta Lake Build and maintain scheduling and orchestration of Silver pipel

Applicants must be a resident and work from one of the following states: WA, OR, OH, IL, MN, NC, SC, FL, AZ, TX or ID, with occasional travel to our headquarters, located in Seattle, WA. Who We Are: At PEMCO, we’re all about people – our customers, our employees, and the community. We’re a mutual insurance company owned by our Northwest policyholders. We provide auto, home, renters, and boat coverage. Recognized by Forbes as one of America’s Best Insurance Companies in both Auto and Home for 2026, based on customer survey feedback, and by Newsweek as one of America’s Greatest Midsize Workplaces 2025. We are consistently recognized for our outstanding customer service, employee expertise, community partnerships, and social impact programs. All of which makes PEMCO a great place to work! Our social impact programs motivate high achievement by youth in education; build stronger and greener communities; and increase safety at home, on the road, and at play. We’re committed to diversity, equity, inclusion, and belonging, and to fostering an inspiring and inclusive workplace. These efforts create and cultivate an environment that builds fairness and understanding, encourages collaboration and flexibility, and celebrates all the ways in which we’re different and the same – enabling all individuals to achieve their full potential. Why We Need You: The Data Scientist - Actuarial position is responsible for conducting actuarial and predictive analysis to support product development, ra

Decision Inc. is seeking talented Data Engineers to join our Data, Information, and Analytics practice as client-facing consultants. You will design and build modern data platforms, lead delivery across diverse industries, and help our clients become genuinely data-driven businesses. You will work across the full engineering lifecycle, from architecture and pipeline development to mentoring junior colleagues and contributing to pre-sales engagements. A passion for data, a curiosity for new technologies, and the ability to adapt quickly to different business environments are essential. Who Are We? Decision Inc. is a global digital partner that enables businesses to reinvent themselves to realise their full potential. We deliver agility, resilience, and intelligence to any enterprise, enabling them to adapt quickly and thrive through innovation and opportunity. Our teams have engaged with more than 400 clients globally over the past 15 years, providing them with the expertise to build, operate, and optimise their digital businesses. We achieve this by leveraging the world's best technology to drive our client's business ambitions forward into tomorrow's reality. These technologies include but are not limited to: Microsoft, SAP, Qlik, Snowflake, Alteryx, Automation Anywhere, and Workday Adaptive Insights. Our success is ultimately driven by our entrepreneurial culture, industry exposure, and the passion of our people. We have three key cross-functional teams – Functional and Spe

Mission The mission of Speechify is to make sure that reading is never a barrier to learning. Over 50 million people use Speechify 's text-to-speech products to turn whatever they're reading – PDFs, books, Google Docs, news articles, websites – into audio, so they can read faster, read more, and remember more. Speechify 's text-to-speech reading products include its iOS app, Android App, Mac App, Chrome Extension, and Web App. Google recently named Speechify the Chrome Extension of the Year and Apple named Speechify its 2025 Design Award winner for Inclusivity. Today, nearly 200 people around the globe work on Speechify in a 100% distributed setting – Speechify has no office. These include frontend and backend engineers, AI research scientists, and others from Amazon, Microsoft, and Google, leading PhD programs like Stanford, high-growth startups like Stripe, Vercel, Bolt, and many founders of their own companies. Overview We're looking for a Software Engineer - AI Data to join Speechify 's AI team and build the data pipelines that power our model training and next-generation AI products. We build high-quality datasets at petabyte scale and low cost by combining engineering, infrastructure, and research. We're looking for a strong software engineer who enjoys solving complex problems, exploring new data sources, and building systems that make AI training more efficient and scalable. What Yo u’ ll Do: Discover new sources of audio data and build reliable pipelines to bring the

Would you like to help shape Vattenfall ’s next generation of data, analytics, and planning solutions and contribute to our journey towards fossil freedom? Within Enterprise Collaboration Solutions, our Enterprise Information & Communication Solutions team manages and develops digital solutions supporting information and communication, risk and compliance, planning, reporting and business analytics across Vattenfall . Our SAP analytics landscape is evolving around SAP Business Data Cloud (BDC), SAP Datasphere and SAP Analytics Cloud (SAC), supporting enterprise analytics as well as financial and project planning scenarios. We work closely with business stakeholders, architecture teams, delivery teams and technology partners to provide reliable services while continuously developing our internal capabilities. We are now looking for an SAP Datasphere & Analytics Planning Specialist to strengthen our internal team. The role combines hands-on expertise in SAP Datasphere data modelling and SAC Planning with an interest in the evolving SAP Business Data Cloud ecosystem. What will you do? As an SAP Datasphere & Analytics Cloud Planning Specialist, you will work across the data and planning landscape, translating business requirements into scalable and maintainable solutions. You will contribute across the solution lifecycle, from requirements analysis and modelling through development, testing, performance optimization, operational support, and continuous improvement. A