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Experience Level
Senior
Qualifications
Proven experience as a Data Engineer or in a similar role. Strong understanding of data modeling, ETL processes, and data warehousing. Proficiency in programming languages such as Python, Java, or Scala. Experience with big data technologies (e.g., Hadoop, Spark). Knowledge of SQL and NoSQL databases. Excellent problem-solving skills and the ability to work in a fast-paced environment. Bachelor's degree in Computer Science, Engineering, or a related field.
About the job
Join Abacus Insights as a Senior Data Engineer and play a pivotal role in shaping our data strategy. In this key position, you will leverage your expertise in data engineering to design, build, and maintain scalable data pipelines that support our analytics and business intelligence initiatives.
Your responsibilities will include collaborating with cross-functional teams to understand data requirements, optimizing data flows, and ensuring data quality and integrity. You will also have the opportunity to mentor junior engineers and contribute to the continuous improvement of our data architecture.
About Abacus Insights
Abacus Insights is a leading provider of data solutions, dedicated to transforming the way organizations leverage data to drive decision-making. We empower businesses with innovative tools and strategies that enhance operational efficiency and foster growth. Join us to be part of a dynamic team that values creativity and collaboration.
Join CloudFactory, a mission-driven organization dedicated to harnessing the power of AI for global transformation. We merge cutting-edge technology with a diverse, skilled workforce to convert unmanageable data into actionable insights, creating a significant impact worldwide.Beyond being a job, we are a global family built on trust and the conviction that …
At SunnyData, we are dedicated to guiding our clients through their data journey, empowering their business with insightful data solutions. We understand that a robust infrastructure is essential for achieving exceptional data-driven outcomes, including scalable architectures, resilient data pipelines, streamlined data consumption layers, and precise machine learning and AI applications. We are currently on the lookout for a Business Intelligence (BI) Engineer to assist with our ongoing reporting and data engineering requirements. This position will concentrate on the development and maintenance of business reports across various BI platforms, in addition to executing modeling and transformation tasks with extensive datasets.A proactive approach, excellent communication skills, and the ability to work collaboratively with diverse teams are crucial for success in this role.
Speechify’s mission is to remove obstacles to learning through reading. More than 50 million people worldwide use Speechify’s text-to-speech tools to turn PDFs, books, Google Docs, news articles, and websites into audio. These products help users read faster, understand more, and remember information. Speechify’s suite includes apps for iOS, Android, Mac, a Chrome extension, and a web app. Recent honors include Chrome Extension of the Year from Google and Apple’s 2025 Design Award for Inclusivity. Our fully remote team includes nearly 200 professionals from organizations such as Amazon, Microsoft, Google, Stripe, Vercel, and Stanford. There is no central office; team members work from around the world. Role Overview The Platform Software Engineer will join the team responsible for all backend services at Speechify. This includes payments, analytics, subscriptions, new product features, text-to-speech capabilities, and external APIs. The role calls for someone who can think strategically, enjoys shaping product direction, and has a history of delivering strong user experiences. Speechify’s structure is flat. Leadership comes from technical skill and consistent, rapid results, not from job titles. The team values a strong work ethic, clear communication, and a focus on results. What You Will Do Develop and maintain backend systems for payments, analytics, subscriptions, and more Work on new product features and text-to-speech services Build and support external APIs Collaborate with colleagues across product and engineering What We Look For Strategic approach to technical challenges Ability to thrive in a changing environment Strong work ethic and reliable delivery Clear, effective communication skills Drive to shape product decisions and improve user experience Interview Process The process includes several technical interviews, typically completed within one week. Location This role is based in Kathmandu, Nepal.
Are you eager to elevate your career in the dynamic and cutting-edge field of data engineering?At SunnyData, we are dedicated to guiding our customers on their data journey to enhance their business operations. We believe that a strong foundation is essential for achieving exceptional, data-driven outcomes: scalable architectures, resilient data engineering pipelines, intuitive data consumption layers, and precise machine learning and AI applications. As a Senior Data Engineer, you will be integral to this journey. You will collaborate closely with both internal teams and customers to architect, develop, and implement data solutions that capture, analyze, transform, and leverage data for Artificial Intelligence, Machine Learning, and Business Intelligence insights.SunnyData is a rapidly growing startup expanding its footprint in Nepal. In just under two years since our inception in the United States, we have successfully established teams in the LATAM region, including Uruguay, Argentina, and Mexico. This presents an outstanding opportunity for motivated engineers to join the founding team in Nepal.The Impact You Will HaveContribute to a team that supports new and existing customers with their data engineering requirements.Advise customers on optimal technical choices to meet their objectives.Manage multiple customer accounts, tracking and reporting on their progress.Design, construct, and operationalize complex data solutions, troubleshoot issues, apply transformations, and propose data cleansing and quality improvement strategies.Evaluate data sources to assess their utility and recommend their inclusion in analytical processes.Integrate essential data management practices encompassing data governance, security, and quality assurance.Collaborate across teams to facilitate delivery and educate end users on data products and analytical environments.Conduct data and system analysis, resolving defects and incidents of moderate complexity as needed.Test data flow, transformation code, and data components.What We Look ForA minimum of 5 years of relevant experience in data engineering and product development.Proficiency in one or more of the following technologies:Data pipeline orchestration frameworks, cloud computing platforms, and SQL/NoSQL databases.
About UsAt Abacus Insights, we are revolutionizing the way healthcare data is utilized for health plans. Our mission is to transform healthcare data into actionable insights, enabling decision-makers to act swiftly and confidently. We work tirelessly to dismantle data silos, facilitating the creation of a unified and reliable data foundation that enhances decision-making processes — ultimately improving health outcomes, minimizing waste, and enriching experiences for both members and providers.Supported by $100 million from leading investors, we are committed to addressing significant challenges in a healthcare sector ripe for innovation. Our platform empowers Generative AI applications by providing clean, interconnected, and dependable healthcare data that supports automation and streamlined decision-making workflows, positioning us at the forefront of the industry.Our innovation stems from our people. We foster a culture of boldness, curiosity, and collaboration — as we believe the best solutions arise from teamwork. Are you ready to make a difference? Join us in shaping the future.About the RoleThe Site Reliability Engineer plays a pivotal role as an experienced individual contributor, ensuring seamless production operations, managing incident responses, and maintaining reliability across the Abacus Insights platform.This position encompasses:Overseeing production operations and reliability engineeringEngaging in advanced technical problem-solving during incidents and escalationsProviding customer-facing technical support during deployments and troubleshootingHands-on software development and automation responsibilitiesIn this role, you will tackle intricate production challenges involving AWS infrastructure, Databricks workloads, and complex data pipelines, collaborating closely with senior engineers and platform teams. You will interact directly with customers during escalations and deployments, translating insights into product and operational enhancements. This is a hands-on position where you will actively participate in incident management, debug live systems, and write production code aimed at enhancing system reliability and operability under the mentorship of senior technical leaders.Your Day-to-Day ResponsibilitiesServe as a technical escalation point during production incidents, leading real-time triage, mitigation, and recovery efforts.
Join Abacus Insights as a Senior Data Engineer and play a pivotal role in shaping our data strategy. In this key position, you will leverage your expertise in data engineering to design, build, and maintain scalable data pipelines that support our analytics and business intelligence initiatives.Your responsibilities will include collaborating with cross-functional teams to understand data requirements, optimizing data flows, and ensuring data quality and integrity. You will also have the opportunity to mentor junior engineers and contribute to the continuous improvement of our data architecture.
About UsAt Abacus Insights, we are revolutionizing the way healthcare data is utilized by health plans. Our mission is straightforward: to make healthcare data actionable, enabling those involved in care and cost decisions to respond swiftly and confidently. We assist health plans in dismantling data silos to establish a unified, trusted data foundation that enhances decision-making, leading to improved outcomes, minimized waste, and superior experiences for both members and providers.Supported by $100M from prominent investors, we are addressing significant challenges in an industry ripe for transformation. Our innovative platform facilitates GenAI applications by providing clean, connected, and reliable healthcare data that supports automation, prioritization, and decision-making workflows, positioning us as industry leaders.Innovation begins with our people. We embrace boldness, curiosity, and collaboration—because the best ideas emerge from teamwork. Ready to make a significant impact? Join us and let's shape the future together.
Speechify’s mission is to make reading accessible for everyone, removing barriers to learning. More than 50 million people use Speechify’s text-to-speech tools to turn reading materials, PDFs, books, Google Docs, news stories, and websites, into audio. This helps users read faster, understand more, and remember what matters. Our platform spans iOS, Android, Mac, Chrome, and web apps. Google named Speechify Chrome Extension of the Year, and Apple awarded us the 2025 Design Award for Inclusivity. The Speechify team is fully remote, with nearly 200 professionals worldwide. Our colleagues include frontend and backend engineers, AI researchers, and alumni from Amazon, Microsoft, Google, and Stanford, as well as founders from successful startups. Role Overview Speechify is hiring a Software Engineer for the AI Data division. This position centers on data collection to fuel model training. The team builds and maintains infrastructure to assemble high-quality, petabyte-scale datasets efficiently and cost-effectively. The work combines engineering, infrastructure, and research. What You Will Do Find new and creative sources of audio data, then connect them to our ingestion pipeline. Maintain and improve cloud infrastructure for data ingestion, using GCP and Terraform. Work with Scientists to optimize for cost, throughput, and data quality, ensuring our models receive the best possible training data at scale. Collaborate with AI team members and leadership to shape the dataset roadmap for future consumer and enterprise products. Requirements BS, MS, or PhD in Computer Science or a related field. At least 5 years of professional software development experience. Strong skills in bash or Python scripting within Linux environments. Hands-on experience with Docker and Infrastructure-as-Code practices, plus professional experience with at least one major cloud provider (GCP preferred). Background working with web crawlers and large-scale data processing is a plus. Comfort managing multiple projects and shifting priorities. Clear and effective written and verbal communication skills. Location This role is based in Kathmandu, Nepal, as part of Speechify’s distributed team.
Speechify is looking for an iOS Core Product Software Engineer based in Kathmandu, Nepal. This position centers on developing and refining the essential features behind Speechify’s iOS apps, which aim to make text-to-speech tools more accessible for users. Role overview This engineer will play a key role in shaping the core experience of Speechify’s iOS products. The work involves both building new capabilities and improving existing ones to meet user needs. What you will do Design and implement new features for iOS applications Work closely with product managers, designers, and other engineers to deliver updates Focus on enhancing user experience and accessibility within the app Ensure the software is reliable and meets quality standards About Speechify Speechify creates technology that brings text-to-speech to people worldwide. The team values practical solutions and continuous innovation to improve daily life for its users.
About UsAt Abacus Insights, we are revolutionizing data utilization for health plans. Our mission is clear: to make healthcare data actionable, empowering decision-makers with the insights they need to respond swiftly and confidently. We dismantle data silos, establishing a cohesive data foundation that enables improved decision-making—ultimately enhancing outcomes, minimizing waste, and enriching the experiences of both members and providers.Supported by $100 million from leading investors, we are addressing significant challenges in an industry ripe for transformation. Our platform fosters GenAI applications by providing clean, interconnected, and reliable healthcare data that underpins automation, prioritization, and decision workflows—positioning us at the forefront of innovation.Our success starts with our people. We value boldness, curiosity, and collaboration, believing that the best ideas emerge from teamwork. Are you ready to make a difference? Join us in building the future.About the Role:We are looking for a skilled Senior Data Quality Assurance Engineer to spearhead the development and implementation of robust data quality testing strategies across our platforms and data pipelines. You will be responsible for ensuring the integrity, accuracy, and reliability of our data ecosystem through sophisticated testing methodologies and automation frameworks.Your Daily Responsibilities:Design and implement comprehensive data quality testing strategies for data pipelines, ETL/ELT processes, and data warehouses.Create automated data validation frameworks to confirm data accuracy, completeness, and consistency.Establish and maintain data quality metrics, monitor dashboards, and set up alert mechanisms.Execute complex SQL queries to validate data transformations and business logic.Craft test cases for data ingestion, processing, and consumption layers.Work collaboratively with data engineers, data scientists, and analysts to grasp data requirements and quality standards.Lead root cause analysis for data quality issues and implement preventive measures.Mentor junior QA engineers and promote data testing best practices.
Role Overview wisevu is hiring a Search Engine Optimization (SEO) Specialist for a fully remote position based in Nepal. This role focuses on strengthening wisevu’s online visibility and driving improvements in search engine rankings.
Why Join CoverGo?Attractive Salary PackageGlobal Work EnvironmentOpportunity to Work with Cutting-Edge Technology in the Insurtech SectorAbout CoverGoCoverGo is dedicated to transforming the insurance industry by making it entirely digital and accessible to everyone. We are recognized as the leading no-code insurance platform for health, life, and property & casualty sectors.Awarded Insurtech of the Year across Asia and other global accoladesPartnering with esteemed clients like AXA, Bupa, MSIG, Dai-ichi, and Bank of China Group InsuranceOur team is a vibrant mix of over 120 professionals from 30 different nationalities, all working remotely from various locations worldwideFully funded by reputable venture capital and institutional investorsGlobal footprint across Asia, EMEA, and the AmericasAchieved over 30x growth in annualized revenue since January 2021We strive to create a workplace that fosters diversity and inclusivity, believing that varied perspectives create the best culture for diverse communities.Your RoleDevelop, implement, and maintain new features for our SaaS platform, translating insurance business requirements into scalable software solutions.Contribute to both front-end and back-end development, showcasing expertise in various tech stacks, frameworks, and programming languages.Collaborate with product managers, designers, and UX experts to ensure user requirements are met and create cohesive solutions for an optimal user experience.Enhance application performance to manage high data loads and user traffic effectively.Engage in code reviews and uphold coding best practices, writing and executing unit and integration tests for code quality assurance.Diagnose and resolve bugs to ensure the platform's reliability.Prioritize security and compliance by following best practices for web application security and handling sensitive data.Keep abreast of the latest technological advancements and best practices to maintain competitiveness.Design the platform for scalability and flexibility, preparing for future growth in clients and users.Mentor junior developers, promoting their professional growth and contributions to team objectives.
Why Join CoverGo? Work fully remotely from anywhere Collaborate with colleagues from around the world in a diverse team Build with modern technology in the insurtech space About CoverGo CoverGo is on a mission to make insurance accessible through digital transformation. As a global no-code platform for health, life, and property & casualty insurance, CoverGo partners with major insurers including AXA, Bupa, MSIG, and Bank of China Group Insurance. The company has been named Insurtech of the Year in Asia and has earned several international awards. Backed by respected venture capital firms, CoverGo has grown rapidly, increasing annualized revenue more than 30 times since January 2021. The team works remotely, with over 120 people from 30 countries. Inclusion and the exchange of diverse ideas are central to the company culture. Role Overview: Lead Full Stack Engineer (Node.js, React/Vue & AI Solutions) This Lead Full Stack Engineer role shapes the technical direction and execution of CoverGo’s enterprise insurance platform. The position combines hands-on development with leadership, guiding a team of engineers and mentoring colleagues. The role also champions the adoption of AI features to advance insurance technology. Key areas include making architectural decisions, setting development standards, and driving innovation across the platform. The Lead Full Stack Engineer focuses on scalable software design, supports team growth, and ensures ongoing delivery. This leadership role connects technology initiatives with business goals to deliver meaningful, intelligent solutions. Main Responsibilities Manage the full development lifecycle of the SaaS platform, from design and implementation through deployment and maintenance, ensuring projects meet both business and technical needs Lead and mentor Full Stack Engineers, supporting their professional development through coaching, feedback, and sharing knowledge Shape and execute the technical strategy for integrating AI, working closely with product and data teams to deliver features that improve automation, decision-making, and user experience Location Remote , Lalitpur, Bagmati Province, Nepal
