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Datavant is the data collaboration platform trusted for healthcare. Guided by our mission to make the world’s health data secure, accessible and actionable, we provide critical data solutions for organizations across the healthcare ecosystem - including providers, health plans, researchers, and life sciences companies. From fulfilling a single patient’s request for their medical records to powering the AI revolution in healthcare, Datavanters are building the future of how data is connected and used to improve health. By joining Datavant today, you’re stepping onto a driven and highly collaborative team that is passionate about creating transformative change in healthcare. The Business Intelligence & Analytics team within Datavant Product is looking for a Senior Data Engineer to help build and scale our reporting, analytics, and data platform capabilities. Our team is focused on creating a trusted and scalable analytics platform that delivers clear, actionable insights across Datavant. In this role, you'll help improve our data ecosystem, modernise reporting capabilities, and enable better decision-making through reliable, high-quality data. We're looking for someone who enjoys solving complex data challenges, building scalable solutions, and partnering with both technical and non-technical teams to deliver meaningful outcomes. You Will Design and evolve scalable data platform infrastructure, orchestration frameworks, and data models that support reporting, analytics, and operational systems. Partner across Product, Engineering, Analytics, and Operations to translate business needs into scalable data solutions and platform capabilities. Build and maintain reliable, observable, and reusable data workflows using Python, SQL, dbt, Airflow, Terraform, and cloud-native technologies. Lead technical discussions and architecture decisions, balancing scalability, reliability, maintainability, cost, and delivery speed. Mentor engineers and help establish best practices for data engineering, observability, Infrastructure-as-Code, and operational excellence. Drive improvements in testing, monitoring, reliability, security, and cost optimisation across the platform. Review code, infrastructure, and architecture to support high standards of quality, maintainability, and performance. What You Will Bring To The Table 7+ years of experience in software development or data engineering, including experience contributing to complex technical initiatives and collaborating across teams. Experience using AI-assisted engineering tools to improve development workflows, code quality, operational efficiency, and scalability. Strong experience with modern data modelling, transformation practices, and scalable architecture patterns across analytical and operational domains. Experience designing and operating data pipelines and orchestration frameworks using technologies such as dbt, Apache Airflow, Python, and cloud-native platforms. Experience building and operating cloud-based data platforms in AWS, Azure, or GCP, including Infrastructure-as-Code practices using Terraform or similar tools. Experience supporting platform reliability through observability, monitoring, operational excellence, performance optimisation, and cost management. Familiarity with CI/CD pipelines, automated testing strategies, and modern software engineering practices for reliable data platforms. Strong communication and collaboration skills, with the ability to partner effectively across engineering, analytics, product, and operations teams. Ability to balance competing priorities, navigate ambiguity, and deliver impactful solutions. Bonus Points For Prior experience in healthcare or another highly regulated industry such as finance, insurance, or life sciences. Experience administering and optimizing Snowflake or similar cloud data warehouse platforms, including security and access management, performance tuning, workload management, cost optimization, governance, and operational reliability at scale. Hands-on experience with modern data stack technologies such as dbt, Fivetran Airflow, Kafka, Spark, Databricks, or streaming/event-driven architectures. Strong understanding of data governance, privacy, lineage, and compliance frameworks such as HIPAA, HITRUST, SOC2, or GDPR. Background as a Database Administrator, Data Analyst, Analytics Engineer, or similar data-focused role. Experience building self-service data platforms, reusable developer tooling, or internal platform capabilities that improve engineering productivity. Experience supporting multi-cloud or hybrid-cloud infrastructure and networking patterns across AWS and/or Azure. Join Our Team at Datavant Ireland – A Galway-Based R&D Technology Center Datavant Ireland is an innovative R&D technology center based in Galway, dedicated to solving complex technology challenges with a purpose. We are looking for talented technical professionals who are product-minded and eager to make an impact. If you are passionate about developing cutting-edge solutions and want to be part of a growing team, we invite you to explore the exciting career opportunities at Datavant. Careers at Datavant offer the opportunity to apply your technology and problem-solving skills toward a vision that every healthcare decision is powered by the right data, at the right time, in the right format. We’re looking for problem-solvers, game-changers, innovators, dreamers, doers - people who are ready to move the needle and build on our success. We provide team members with a robust total compensation package that includes: Competitive, equitable salary. Comprehensive benefits. Pension contribution. Flexible, Hybrid work environment. We are committed to building a diverse team of Datavanters who are all responsible for stewarding a high-performance culture in which all Datavanters belong and thrive. We are proud to be an Equal Employment Opportunity employer. Datavant is committed to working with and providing reasonable accommodations to individuals with physical and mental disabilities. If you need an accommodation while seeking employment, please request it here, by selecting the ‘Interview Accommodation Request’ category. You will need your requisition ID when submitting your request, you can find instructions for locating it here. Requests for reasonable accommodations will be reviewed on a case-by-case basis. For more information about how we collect and use your data, please review our Privacy Policy.
Here's how to pick the right one and stand out in your application.
144.883Jobs
31.687IN
81%EN
That number is real. WorkMundi's database shows 144,883 open engineer roles across the world. India has the most with 31,687 jobs, followed by the United States with 30,084. If you just finished reading one job ad and felt paralyzed by choice, you're not alone—but this scale is actually an advantage. It means you can afford to be selective.
Start by geography and language. The majority of engineer ads—117,837 of them—have the job posting text written in English. Use that as one filter, but remember: the ad text language tells you nothing about whether the role actually requires you to speak English day-to-day. Read the job description carefully. Then check which countries have the volume you're targeting. Singapore, Poland, and Australia round out the top five after India and the US.
Next, learn who's hiring. Accenture has posted 2,801 engineer roles. andurilindustries, speechify, and jobgether are also actively recruiting. If you're applying to one of these names, research their hiring patterns and interview style before you apply. That homework pays off.
When you interview, expect the question every engineer hears: 'Tell me about a time you had to debug a problem that wasn't in your job description.' Have a specific story ready—not a general one. Name the tools, the deadline pressure, and what you learned. Hiring managers listen for whether you see problem-solving as part of the role itself, not a favour.