Remote Data Engineering & Analytics Jobs

Drive user growth by turning analytics into business impact At Resmed, you’ll transform how we understand and grow our connected-device user base. As the User Data Growth Analytics Lead, you’ll lead the measurement framework that explains what drives user engagement, retention, and expansion—and how those dynamics connect directly to demand and revenue. In this role, you’ll help Resmed make smarter, faster decisions about how to grow value across millions of active users. You’ll collaborate across Finance, Product, and Commercial teams to connect insights from our digital ecosystem, including myAir and AirView, with the financial performance that drives our continued growth. Your analysis will shape trusted metrics, forecasting models, and next-generation analytics products that help connect patient engagement to commercial outcomes. You’ll bring a consumer-first lens to healthcare, building experimental approaches that move quickly from analysis to action. This is your chance to help Resmed evolve the way we measure and grow user outcomes—by teaching us new ways to think about engagement and retention. What you’ll do Define the analytics foundation - Own and evolve the measurement framework for our user base, shaping clear KPIs for engagement, retention, and experience enhancement across connected platforms. Tell the story behind the data - Build cohort and lifecycle analyses to explain user behaviors, identify growth opportunities, and clarify what drives retention or churn

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

Tabby creates financial freedom in the way people shop, earn and save by reshaping their relationship with money. Over 25 million users choose Tabby to stay in control of their spending and make the most out of their money. The company’s flagship offering allows shoppers to split their payments online and in-store with no interest or fees. Over 70,000 global brands and small businesses, including Amazon, Noon, IKEA, and SHEIN use Tabby to accelerate growth and gain loyal customers by offering easy and flexible payments online and in stores. Tabby generates over $18 billion in annual transaction volume for its partner brands and is the highest-rated, most-reviewed, largest, and fastest-growing FinTech in the GCC region. Tabby launched in 2019 and has since raised +$1 billion in equity and debt funding from global and regional investors, and is now valued at $6,5 billion. We’re looking for a Senior Database Administrator to join our Infrastructure team and help build and maintain reliable, high-performance database systems at scale. You’ll work on challenging technical problems, drive improvements in database reliability and performance, and contribute to the infrastructure powering Tabby ’s growing business. Key Responsibilities: Design, construct, install, and maintain large relational databases. Maintain the integrity and security of the database, including backups and recovery procedures. Implement and manage disaster recovery and failover systems. Monitor database performa

About Nscale Nscale is the vertically integrated AI cloud engineered for AI. We own and operate the full stack — energy, data centers, GPU superclusters, orchestration, and AI services — delivering high-performance infrastructure to AI-native companies, enterprises, and governments across Europe and the US. We are deploying GPU capacity at hyperscale, operating some of the densest, most advanced AI infrastructure in the world. At Nscale , our Data Center Design team plays a critical role in turning AI infrastructure requirements into buildable, scalable facilities across our global portfolio. We thrive on a culture of relentless innovation, ownership, and accountability, where every team member takes pride in their work and drives it with excellence and urgency. As an Nscale r, you'll build trust through openness and transparency, where everyone is inspired to do their best work. If you join our team, you'll be contributing to building the technology that powers the future. About the Role As Director, Data Hall Design, you will build and lead Nscale 's data hall design practice, the specialist function responsible for the physical design of AI infrastructure inside the data hall. This includes GPU rack layouts, high-speed network and storage topology, structured cabling, fiber tray routing, patch matrices, rack-level power distribution, and bill of materials development. The role sits at the intersection of AI infrastructure architecture, physical data center design, construc

Req ID: 392719 NTT DATA strives to hire exceptional, innovative and passionate individuals who want to grow with us. If you want to be part of an inclusive, adaptable, and forward-thinking organization, apply now. We are currently seeking a Data Migration Engineer (Informatica/DBT) to join our team remotely in the US. Role Overview o The Senior Data Migration Engineer serves as a hands-on technical contributor and delivery anchor, responsible for designing and implementing Python-based extract/load pipelines, dbt-based transformations, and Airflow-based orchestration for a large-scale migration from Informatica PowerCenter to a modern data stack. o This role requires deep expertise in converting complex Informatica workflows into Python, dbt, and Airflow, and the ability to deliver production-quality, functionally equivalent output at enterprise scale. Key Responsibilities: • Assess complex Informatica workflows including sessions, mappings, and parameterizations and translate them into equivalent Python EL scripts and dbt transformation models. • Develop and maintain Python EL pipelines to land high-volume data, including billion-row tables, into the target warehouse using SQLAlchemy, cx_Oracle, pyodbc, and bulk export tools such as Oracle Data Pump and SQL Server BCP. • Design and develop dbt transformation models based on Informatica mapping logic, incorporating dbt best practices including model layering, macros, incremental strategies, and snapshot patterns. • Develop db

We are looking for a Senior Cloud Data Engineer with experience working with AWS and Databricks. The project involves creating a lakehouse solution, preparing a prototype to be presented at an industry event, and then executing a pilot implementation and further development of the platform. We are looking for someone who will actively support both the architecture and implementation of the solution, co-creating the foundations of a scalable data platform used for advanced analytics and business reporting. The project is implemented based on the modern Databricks ecosystem, medallion architecture, and best practices in Data Engineering. Optimal start of cooperation: November 2026. We are looking for you if: you have min. 5 years of IT experience, including min. 3.5 years of commercial experience with cloud data on AWS (Glue, Athena, DynamoDB), you have experience working with Terraform, you have experience working with Databricks, you have commercial experience processing large amounts of data using JSON, you know and use Python and PySpark, you use SQL at an advanced level across MS technology solutions and others, you know methods and fluently apply Git and CI/CD, you have experience with dbt, you create and optimize data processing solutions (ETL, ELT, etc.) preceded by technical design and alternative solutions (e.g., Apache Airflow), and you have experience with agile practices and tools.

Does developing creative machine learning models addressing application security threats get your head churning? Join us and use data science to make a positive impact! Join our Global Web Security group! Our team is part of the Cloud Security organization. We are responsible for the technologies powering Akamai's security products and protecting some of the world's major internet brands. Working in partnership with other development teams, we design and create highly scalable solutions. Partner with the best In this role, you'll play a key part in strengthening security products by analyzing data, addressing customer challenges, and driving product improvements. You'll collaborate across teams to implement solutions, enhance detection accuracy, and provide insights that shape strategy and performance. As a Senior Data Scientist, on a typical day you will be: Analysing large customer datasets (trillions of records a day), gaining insights and building models. Developing and implementing detection rules and models to improve the accuracy and effectiveness of the security products. Improving processes to collect, manipulate, present, and analyze large datasets in a production-ready environment Troubleshooting production issues in a very distributed environment Do what you love To be successful in this role you will: Have experience working on large datasets using SQL/Spark and Python. Have a good understanding of probability, statistics and machine learning algorithms/technique

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 us AB InBev is the leading global brewer and one of the world’s top 5 consumer product companies. With over 500 beer brands, we’re number one or two in many of the world’s top beer markets, including North America, Latin America, Europe, Asia, and Africa. About AB InBev Growth Group Created in 2022, the Growth Group unifies our business-to-business (B2B), direct-to-consumer (DTC), Sales & Distribution, and Marketing teams. By bringing together global tech and commercial functions, the Growth Group allows us to fully leverage data and drive digital transformation and organic growth for AB InBev around the world. In addition to supporting well known global beer brands like Corona, Budweiser and Michelob Ultra, the Growth Group is home to a robust suite of digital products including our B2B digital commerce platform BEES, on-demand delivery services Ze Delivery and TaDa Delivery, and table top beer keg PerfectDraft. We are an exceptional team, focused on understanding and supporting consumer and customer needs, harnessing new technology, and scaling growth opportunities. About the Role: We are looking for a Senior Data Analyst to join the BEES Fintech Data Analytics team. This role sits at the intersection of Business Intelligence, Advanced Analytics, and Analytics Engineering, transforming complex data into actionable insights that drive strategic decisions across Credit, Payments and Product teams. The ideal candidate is not only able to build reports and dashboards

Who We Are Oportun (Nasdaq: OPRT) is a mission-driven financial services company that puts its members' financial goals within reach. With intelligent borrowing, savings, and budgeting capabilities, Oportun empowers members with the confidence to build a better financial future. Since inception, Oportun has provided more than $22.7 billion in responsible and affordable credit, saved its members more than $2.5 billion in interest and fees, and helped its members set aside an average of more than $1,800 annually. The Opportunity We’re looking for a Senior DataOps Engineer to help operate, scale, and improve the data platforms that support Oportun ’s analytics, engineering, and business teams. This role will focus on Databricks, AWS, data pipelines, databases, observability, automation, and production support. You’ll be responsible for keeping critical data-platform services reliable, secure, performant, and cost-effective while partnering closely with Data Engineering, Analytics, Security, Cloud Infrastructure, Database, and application teams. Success in this role means improving platform reliability, reducing operational friction, strengthening automation, and helping teams resolve issues quickly and sustainably. At Oportun , we move fast and we hold each other to a high bar. If you care about doing your best work while actually moving the needle for real people, you'll fit right in. What You'll Do Your day-to-day You’ll administer and support Databricks workspaces, cluster po

SAP Data Transformation Specialist – 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: SAP Data Transformation Specialist Location: 100% Remote (United States) Position Type: Full-time, Direct W2 Salary Range: $100,000–$150,000 Annually Experience: 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 SAP Data Migration Engineer to design, execute, and support large-scale data migration initiatives within SAP S/4HANA environments. This role focuses on the full data migration lifecycle — extraction, transformation, validation, reconciliation, and cutover — to ensure accurate, complete, and compliant migration of enterprise data from legacy systems into SAP. The ideal candidate will combine strong hands-on experience with SAP LTMC, SLT, LVM, and S/4HANA migration tools with deep understanding of SAP data structures, business processes, and data governance, and will partner closely with functional teams, business owners, and infrastructure stakeholders during all phases of migration. Required Qualifications Bachelor’s degree in Computer Scie

About us loyos bi GmbH is a growing SaaS company based in Hamburg and Lübeck. Our mission: We are bringing the financial reporting of private equity portfolios, start-ups, and medium-sized businesses into 2026. Our Financial Management Suite, based on Microsoft Power BI, enables our clients to evaluate financial data clearly, understandably, and with a modern visual presentation. With a high degree of creative freedom, flat hierarchies, and a genuine passion for technology, we are building a company that enables data-driven decisions – pragmatically, efficiently, and with an eye on the future. Responsibilities Your tasks You advise our clients in the financial sector – particularly in controlling, accounting, and group management – on the implementation, further development, and automation of financial reporting. You analyze monthly, quarterly, and annual financial statements, recognize relationships between profit, loss, and cash flow, and explain them clearly to our clients. You support our clients in using the Financial Management Suite – serving clients from various industries (including private equity, start-ups, medium-sized businesses). You systematically identify sources of error, analyze data flows, and reconcile them – thanks to your accounting acumen. You independently develop innovative solutions in the field of financial reporting – building dashboards and using tools such as Excel or Power BI to visualize complex financial relationships understandably.

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

Responsibilities This is for a SPRING internship begining in January 2027. Expected hours are 10-20 hours a week. The internship will run until April 2027. Noblis is seeking a motivated intern to support a technology scouting and risk assessment platform project that helps U.S. government decision makers identify, monitor, and evaluate emerging technologies with national security implications. The platform integrates open-source data from academic research, global news, patents, government funding sources, and other publicly available repositories, then applies advanced analytics, including machine learning, natural language processing, and structured analytic techniques, to surface insights and assess technology risk. The intern will join a small, high-impact engineering team working in an agile environment to expand the platform's data coverage and enhance its software capabilities. Job Responsibilities Data Discovery, Integration and Pipeline Development Research, identify, and evaluate new open-source datasets relevant to technology scouting and national security analysis Develop and maintain ETL (Extract, Transform, Load) pipelines to ingest data across multiple formats including structured data, documents (Word, Excel, PDF), and streaming sources Assess data quality, relevance, and coverage gaps to prioritize new data source integration Document data source characteristics, schemas, licensing, and access methods Support data normalization and transformation to align new

RWE Offshore Wind GmbH To start as soon as possible, full time / part time, fixed term Join the Central Offshore Wind Operations team and help continuously improve the material data used across our offshore sites. You will combine AI, data analysis and operational insights to develop practical, user-friendly solutions for maintenance and materials management processes. About the role Analyze operational challenges and translate user needs into clear requirements, prototypes, tests and practical solutions. Maintain and continuously improve digital tools for Materials Management and Works Management processes using AI-assisted development. Support the standardization and automation of materials management processes across offshore sites. Collaborate with site teams, process owners and digital experts to implement and enhance practical solutions. Create data checks and worklists to identify missing, inconsistent, duplicate or obsolete material information. Manage the central inbox by reviewing requests, structuring information, tracking progress and routing cases efficiently. Job requirements and experience Current enrolment in a degree programme at a university or university of applied sciences. Strong analytical and conceptual skills. Critical and responsible use of AI tools, including the validation of generated results. Confidence in working with technical information and structured data. A practical, solution-oriented approach combined with initiative. Good written and spok

Description Ledgebrook is an AI-native specialty insurance platform. When a business needs coverage that is custom and complex, its broker comes to us, and our underwriters give them an answer, often in hours rather than weeks. We built our technology from scratch, with AI in it from the first line of code. The technology helps price the risk; the underwriter uses their judgment to decide. There are always two hands on the wheel. We are insurance industry insiders, and we eat our own cooking: Ledgebrook writes the policy and shares the risk through our own carrier, Ledgebrook Specialty, rated A- (Excellent) by AM Best. We work exclusively through wholesale brokers. Our vision: to make the wheels of insurance spin faster. At Ledgebrook , everything we do is driven by our culture: Care, Strive, Thrive Together. To succeed in modernizing the industry, we must first succeed in changing the way we do business. Talent density is our north star—fewer, better people working together as one. To that end we’ve replaced all individual incentives with generous equity packages—we play as a team, we win as a team. Everyone benefits handsomely from Ledgebrook ’s success. Ledgebrook is seeking an experienced Data Analyst, Data Excellence to join our Product & Data team. On this team, you’ll lead analytical efforts to drive data informed decision-making across the entire organization by gathering, analyzing, and visualizing / presenting technical insurance data. As a Data Analyst, Data Ex

TWG Resources LLC is seeking a Director, Data Science in Chicago, IL with the following requirements: Bachelor’s degree in Computer Science, Computer Information Systems, Data Science, Information Systems, Engineering, Applied Mathematics, or related field, or foreign equivalent degree plus 5 years of related experience. Required skills: Design and deploy ML models for financial analytics (3 yrs); Architect cloud-based data pipelines (2 yrs); Develop quantitative models for IRR, MOIC, MVOC, WARF metrics (4 yrs); Implement scalable backend systems using Java and Spring Boot (5 yrs); Build APIs and integrations using Kafka and REST services (4 yrs); Apply LLMs and Generative AI for document (2 yrs); Utilize SQL and data warehousing for financial data processing and analytics (5 yrs); Lead cross-functional AI/ML projects with engineering and business teams ( 5 yrs). 100% telecommuting; can reside anywhere in the US. Co headquarters in Chicago, IL. The expected base pay for this position is $139,818 - $360,000. A discretionary bonus will be provided as part of the compensation package, in addition to a full range of medical, financial, and/or other benefits. Please note, TWG Resources, LLC is an affiliate of TWG Global, LLC. Please apply on-line at , scroll down, click Careers and search for job title. Requirements Develop and Deploy ML Models: Contribute to the development and deployment of machine learning models for applicant generation and ranking, aimed at enhancing multimod

We are looking for an Integration Engineer to help design, build, and maintain solutions that connect different data sources and platforms. This role will focus on creating reliable data flows, integrating systems through APIs, and supporting customer data initiatives by ensuring information is accurately collected, processed, and made available across platforms. The ideal candidate has experience working with data integrations, APIs, customer data platforms (CDPs), and modern data technologies. Experience working across different systems, troubleshooting data flows, and collaborating with technical and business teams to deliver scalable solutions is required. Responsibilities Design, develop, and maintain integrations between different systems and platforms using APIs and other integration technologies. Build and support data pipelines that enable the movement and availability of customer data across platforms. Work with customer data platforms (CDPs) and related technologies to support customer data management and activation initiatives. Implement solutions for data matching, identity resolution, and the management of customer identifiers across different systems. Ensure data quality, consistency, and reliability across integrated platforms. Troubleshoot integration issues and identify opportunities to improve existing processes. Collaborate with engineering, data, and business teams to understand requirements and deliver effective solutions. Support secure handling of cust

At ABB , we help industries run leaner and cleaner—and every person here makes that happen. You’ll be empowered to lead, supported to grow, and proud of the impact we create together. Join us and help run what runs the world. This position reports to: Service Project Management Manager __ In this role, you will work closely with Project Managers to coordinate high demand projects within our U.S. Data Center Services. Each day, you will support execution of project activities. You will also showcase your expertise by helping ensuring on-time delivery within project budget and our operating model. The work model for the role is: Remote in the US This role is contributing to the U.S. Data Center Services Center of Excellence (CoE) within our Electrification Service division . You will be mainly accountable for: Conducting analysis of plan versus actual project performance. Monitoring and releasing requests for invoicing, including assisting with follow up on delays, errors, etc. Supporting coordination of various administrative tasks, ensuring proper documentation and follow up are provided via email, SharePoint, and Project Management software. Meeting internal and customer driven SLAs and response times, ensuring proactive up-to-date engagement across all assigned projects. Assisting project manager with scheduling kickoff and recurring meetings with stakeholders. Troubleshooting and resolving coordination and/or administrative concerns. Act as backup support to project manage

What is this position about? Conduct comprehensive gap analysis and data mapping across 80+ ERP systems to identify integration challenges, data inconsistencies, and transformation requirements. Design and develop standardized ETL pipelines and data transformation processes for migrating enterprise data into Microsoft Fabric. Build robust data quality frameworks and validation rules to ensure data readiness for AI and analytics workloads. Lead hands-on implementation of ETL standards and best practices, establishing repeatable patterns and automation scripts for multi-source integrations. Develop and optimize data models that support seamless transformation from fragmented ERP sources into a unified, AI-ready data architecture. Lead the pilot implementation phase, testing and refining standards against real ERP data before full-scale rollout. Mentor and guide team members on ETL development, data transformation techniques, and Fabric-specific engineering practices. Collaborate with stakeholders to document data lineage, transformation logic, and integration patterns for knowledge transfer and governance. Troubleshoot data inconsistencies and implement corrective measures to maintain data integrity throughout the pipeline. Advanced proficiency in SQL for complex data transformations, query optimization, and performance tuning. Strong Python expertise for automation scripting, data pipeline development, and ETL orchestration. Demonstrated hands-on experience in designing and im

At our core, we help organizations unlock the full value of their data - turning complexity into clarity and strategy into measurable outcomes. As a Data Vault Engineer, you will support the delivery of data solutions and contribute to client transformation initiatives. This role focuses on building on foundational experience at the intersection of data engineering, analytics, and consulting delivery. You will work alongside experienced team members to help design, develop, and implement modern, cloud-based data solutions that enable efficient analytics and data-driven decision-making. You will support development efforts across platforms such as Snowflake, Databricks, AWS, and Azure, contributing to client data modernization initiatives. You will assist in translating business and technical requirements into well-structured data solutions while developing your technical and consulting skill set. Success in this role requires strong problem-solving abilities, attention to detail, and a willingness to learn in a fast-paced environment. You will be expected to contribute to team deliverables, continuously build technical expertise, and support high-quality client outcomes. What You'll Work On Support client engagements as a contributing project team member Assist in gathering and understanding business and technical requirements Translate requirements into technical tasks under guidance from senior team members Support preparation of presentations, documentation, and deliverabl

To get the best candidate experience, please consider applying for a maximum of 3 roles within 12 months to ensure you are not duplicating efforts. Job Category Sales Job Details About Salesforce Salesforce is the #1 AI CRM, where humans with agents drive customer success together. Here, ambition meets action. Tech meets trust. And innovation isn’t a buzzword — it’s a way of life. The world of work as we know it is changing and we're looking for Trailblazers who are passionate about bettering business and the world through AI, driving innovation, and keeping Salesforce 's core values at the heart of it all. Ready to level-up your career at the company leading workforce transformation in the agentic era? You’re in the right place! Agentforce is the future of AI, and you are the future of Salesforce . Applications for this position will be accepted on an ongoing basis. Note: By applying to this posting, recruiters and hiring managers who support multiple verticals across the organization — hiring for both Commercial and Enterprise Account Executives — will review your resume. Apply once and have it considered by multiple hiring teams. Some positions may be office-based, office-flexible, or remote depending on the team. Overview of the Role: AI agents are reshaping how global enterprises automate decisions, orchestrate processes, and engage customers at scale. But AI is only as powerful as the data foundation behind it. As an Enterprise Account Executive within these teams, you

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

PLAYERSBEST is an online lead generation company that creates quality leads in highly competitive verticals, such as iGaming, Financials, Health and Communications. We focus on building high-end websites with quality content that let customers make an informed decision about the product they’re about to buy or sign-up to. We pride ourselves on adopting a customer-focused approach to quality and usability. About the role We are expanding our Data & BI team and looking for an experienced Senior Data Engineer to own the data model and the medallion framework (Bronze, Silver, Gold) that turn raw data into trusted, business-ready numbers. Our platform runs on Google Cloud, with dbt on BigQuery, Airflow and ClickHouse. What you'll do Design and own the medallion framework: Bronze for raw landing, Silver for cleaned and conformed data, Gold for business-ready marts Design the core dimensional model of facts and dimensions (traffic, clicks, registrations, deposits, commissions, costs), with clear grain and conformed keys Build these layers as tested, documented transformation models with agreed business definitions Write and maintain Airflow DAGs, and use ClickHouse for high-volume event data Add data quality checks and alerts, help integrate new sources, and take part in architecture discussions and code reviews What we're looking for At least 4 years' working experience as a Data Engineer or Data Warehouse developer Working experience in the iGaming or affiliate marketing indus