Senior Data Migration Specialist Jobs

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role We're looking for a Front End Engineer to support our Brand Web team, working at the intersection of design and development to build and maintain Anthropic's web properties. In this role, you'll contribute to shipping high-quality web experiences across anthropic.com and claude.com — from interactive marketing pages and data visualizations to internal tooling that keeps our content operations running smoothly. You'll work closely with designers, engineers, and brand and content teams to translate design intent into polished, production-ready code. Rapid prototyping is a core part of how we work here, and you'll be expected to move fast. Key responsibilities Own implementation of design system components and page templates across our web properties, with a focus on experiences that go beyond static content — interactive pages, data visualizations, and tools that communicate complex information clearly Work within our headless CMS architecture, helping maintain and improve content modeling, structured data workflows, and the publishing experience Collaborate closely with designers to bridge the gap between static design and living, interactive web experiences Contribute to internal tools that help teams author, manage, and publish content at scale Participate in migrations and site architecture projects, taking on defined scopes within larger efforts led by senior team members Move quickly from concept to working prototype, iterating in close collaboration with the team Support tooling and workflow improvements that help the broader team ship faster, and contribute to documentation and knowledge sharing Minimum qualificat

Who We Are Notion is the collaborative AI workspace where teams and agents think together . We're building one place where your knowledge, projects, meetings, and AI tools live side by side, so work is faster, clearer, and less fragmented. Millions of individuals, small teams, and large companies run their work on Notion. Notinos (our employees) are customer zero in bringing this future of work to life. We care about craft, building things that last, and the belief that great work is still fundamentally human. Our goal isn’t to ship the next feature. Each and every team of Notinos is working to set the standard for how humans work together in the AI era. From building a business’s system of record to making and managing AI agents to automating away the busy work, we care deeply about giving our customers more time for their life’s work. About the Role As a Manager of Forward Deployed Engineering on Notion’s Services team, you will lead a team responsible for the hands-on technical delivery of our most complex customer engagements. Your team will design, build, and deploy production-ready solutions that help enterprise customers integrate Notion as the operating layer for their business. You will combine people leadership, technical judgment, and customer-facing delivery. You will coach Forward Deployed Engineers through discovery, architecture, implementation, and launch while remaining close enough to the work to guide difficult technical decisions, unblock delivery, and build trust with senior customer stakeholders. The team’s work includes custom code, production-grade agents and AI workflows using MCP, Agent APIs, and Notion’s automation and execution infrastructure, as well as integrations, data pipelines, enterprise migrations, and complex challenges involving scale, permissions, and governance. You will help establish how Services delivers complex technical implementations across EMEA. This includes building a high-performing team, improving delivery standard

About BlueConic: At BlueConic, we’re reinventing how businesses grow by transforming customer data into real-time intelligence and action. As the creators of the industry’s first Customer Growth Engine (CGE), we help brands move beyond traditional CDPs to a smarter, faster model for growth that is powered by AI, built for privacy, and designed to create meaningful value across the customer lifecycle. For our customers, none of that works if their email doesn’t reach the inbox. Our Success Services team is what keeps it there. Senior Deliverability Strategist We’re hiring a Senior Deliverability Strategist to own the customer-facing side of deliverability in Success Services, from onboarding and IP/domain warm-up through audits, remediation, and ongoing inbox-placement strategy. You’ll be the senior deliverability voice customers rely on, working directly with mailbox providers, blocklist operators, and industry bodies on their behalf, and partnering with our Lead Deliverability Analyst, who owns technical and operational execution. This is a highly client-facing role reporting to the Manager, Deliverability. Location & Coverage Based in Pune, India, working U.S. business hours to support our U.S. customers and their mailbox-provider escalations in real time. As our customer base grows internationally, coverage will expand to additional time zones (including EU), so flexibility to shift or extend hours as the team scales is expected. What you'll do Own onboarding and warm-up: IP and domain warm-up for customers migrating to BlueConic, from plan design through execution and monitoring. Lead deliverability audits: holistic reviews of a customer’s sending infrastructure, authentication, list hygiene, reputation, and program performance, delivered as a clear report with prioritized remediation steps. Own incident response: serve as the escalation point for spam complaints, spam-trap hits, blocklistings, and ISP blocks, and drive them to resolution in real time. Own I

MongoDB is looking for an outstanding person to join our newly created Forward Deployed Engineering team and take on a key role in our extended R&D organization. Forward Deployed Engineering is linking the work of teams engaged on application modernization roles with our Product and Engineering teams. We are looking to speak to candidates who are based in Dublin for our hybrid working model. Many organizations have built up large estates of legacy applications. Lack of scalability and resilience, long development times, operating cost, and inability to run on cloud are common issues with these applications. To address these issues, organizations are engaging in large transformational Application Modernisation programs. MongoDB is recognized as the developer data platform of choice for transactional systems that provide the best scalability, resiliency and developer experience in the cloud as well as on premises. Organizations are continuously migrating workloads from these legacy applications to new platforms, often based on microservices, using MongoDB. Such transformations are time intensive and often risky. Tooling based on generative AI promises to accelerate these transformations in a way never seen before. Forward Deployed Engineering is responsible for exploring the possibilities of Generative AI technologies and providing invaluable feedback to MongoDB’s R&D teams to drive future capabilities of MongoDB and the MongoDB ecosystem. Application Modernization Engineers will work alongside project teams that are executing Application Modernisation projects with customers. The successful candidate will be responsible for evaluation, build, and applying tools in modernization projects, facilitating the usage of such tools and processes across the different project teams, identifying opportunities for tooling deployment, selecting potential 3rd party tools, contributing to the development of tooling prototypes and helping to shape the produ

MongoDB is looking for an outstanding person to join our newly created Forward Deployed Engineering team and take on a key role in our extended R&D organization. Forward Deployed Engineering is linking the work of teams engaged on application modernization roles with our Product and Engineering teams. We are looking to speak to candidates who are based in Dublin or Cork for our hybrid working model. Many organizations have built up large estates of legacy applications. Lack of scalability and resilience, long development times, operating cost, and inability to run on cloud are common issues with these applications. To address these issues, organizations are engaging in large transformational Application Modernisation programs. MongoDB is recognized as the developer data platform of choice for transactional systems that provide the best scalability, resiliency and developer experience in the cloud as well as on premises. Organizations are continuously migrating workloads from these legacy applications to new platforms, often based on microservices, using MongoDB. Such transformations are time intensive and often risky. Tooling based on generative AI promises to accelerate these transformations in a way never seen before. Forward Deployed Engineering is responsible for exploring the possibilities of Generative AI technologies and providing invaluable feedback to MongoDB’s R&D teams to drive future capabilities of MongoDB and the MongoDB ecosystem. Application Modernization Engineers will work alongside project teams that are executing Application Modernisation projects with customers. The successful candidate will be responsible for evaluation, build, and applying tools in modernization projects, facilitating the usage of such tools and processes across the different project teams, identifying opportunities for tooling deployment, selecting potential 3rd party tools, contributing to the development of tooling prototypes and helping to shape t

Husky is what we call the distributed, petabyte-scale columnar event store at the heart of our Event Platform, which powers dozens of Datadog’s most popular products – Logs, RUM, APM, Cloud Network Monitoring, Netflow, and many more. Husky was built from the ground up at Datadog to store and query massive volumes of event data at low cost, with data fully queryable within seconds of arrival. As a Senior Software Engineer on this team, you'll work hands-on with a distributed storage system at petabyte scale, and help us evolve our platform to support the next level of scale that will power the AI era. We will move from a custom storage format towards open standards (Parquet, Arrow, DataFusion) enabling on prem solutions, increasingly complex analytical/batch workloads, and powering AI observability, sustainably into the future. You'll partner closely with Husky Ingestion, Metadata, and Platform, and increasingly with Lakehouse on the Iceberg-compatible boundary between Husky and analytical/batch workloads. You will also work with the open source community to build the next generation of reusable software solutions that can be operated at scale. Datadog has a culture that is increasingly rare in mature technology companies. We are an engineering driven, bottom up, high agency/high responsibility culture–where everyone is empowered and expected to drive the technological and strategic direction of the business over time. We are a blameless culture where we believe supporting each other through challenges produces the best outcomes over time and our track record corroborates this. We are open source champions. We believe in the flexibility of working remotely but also the value of bringing people together across our various offices worldwide–and our offices are nice places to work. What You’ll Do: Drive Husky to the next level of adoption by migrating our storage format to open source Parquet and re-imagine compaction on a format-agnostic, Data

HackerRank helps companies like NVIDIA, Amazon, and Microsoft hire and upskill the next generation of developers based on skills, not pedigree. Our platform is trusted by over 2,500 of the world’s most innovative companies to build strong engineering teams ready for what’s next. Software has entered an era where humans and AI build side by side. As this shift accelerates, the definition of strong technical talent is changing. We give companies better ways to identify and invest in next-generation skills. People at HackerRank care deeply about the impact of their work and sweat the small details so our customers can be wildly successful with products they genuinely love to use. We move with urgency and believe great outcomes come from high standards. About the role HackerRank's data platform is at an inflection point. We've completed a multi-year modernisation - migrating from Redshift to StarRocks + Apache Hudi - and cut export latencies from 25 seconds to under 5 seconds. The infrastructure groundwork is done. Now we're building the AI-native data layer that will power revenue-generating features like natural language querying for HackerRank for Work customers. As Lead Data Engineer, you'll be a senior individual contributor at the heart of the data organisation - owning complex platform decisions, collaborating cross-functionally with AI, product, and go-to-market teams, and shipping data-driven features that directly drive revenue. This is a greenfield opportunity to shape the next phase of data at HackerRank. What you will do Own and evolve the data platform - StarRocks (OLAP), Apache Hudi (Data Lake), Trino, Spark, and Apache Ranger - ensuring performance, reliability, and security at scale. Build the next-gen AI-optimised data layer: clean, structured datasets that power natural language querying and AI add-on features for HackerRank for Work customers. Own in-product data features - exports, insights dashboards, interview analytics, and the self-s

P-211 Summary At Databricks, we are obsessed with enabling data teams to solve the world's toughest problems, from security threat detection to cancer drug development. We do this by building and running the world's best data and AI infrastructure platform, so our customers can focus on the high-value challenges that are central to their missions. Our engineering teams build highly technical products that fulfill real, important needs in the world. We constantly push the boundaries of data and AI technology, while simultaneously operating with the resilience, security, and scale that is critical to making customers successful on our platform. Customers trust Databricks with their most valuable data and Trust & Safety has the mission to build the most trusted data analytics and ML platform in the world. Security Engineering is an integral part of Trust & Safety and has a critical role to play in keeping customer data from bad actors. We are looking for senior leaders such as yourselves to create the vision and define the strategy for this space. We are hiring a Staff Software Engineer for the Access Management team at Databricks, based in Bellevue, WA. Access Management owns the access-gating systems at the core of the Databricks platform – the services that decide, for every user, application, and automated workload, what they are permitted to do. You will set technical direction for the Bellevue engineers and partner with our Mountain View technical lead on a team distributed across both sites. What you'll work on : Evolving the platform's core authorization service – the system is on the critical path of every access-control decision. Migrating and consolidating permission-checking across the platform onto a unified authorization model. Building fine-grained access controls: scoped service identities, delegated access, and role-based access control. Network ingress access policy for customer resources. Raising the availability and reliability o

Senior Data Analyst – Power BI About the Role We are looking for a Senior Data Analyst with strong hands-on expertise in Power BI, data visualization, and business intelligence to work on a broad range of analytics problems across various industries. The candidate should be able to translate business requirements into actionable insights, develop interactive dashboards, and effectively communicate findings and recommendations to clients. Key Responsibilities Engage with clients to understand their business context, objectives, and analytical requirements. Understand business processes and map end-to-end workflows using visual formats. Translate business problems into analytical frameworks and develop effective BI solutions using Power BI. Design, develop, and maintain interactive dashboards and reports to support business decision-making. Collaborate with Data Scientists, Data Engineers, and business stakeholders to integrate analytics into business processes. Define KPIs, metrics, and reporting requirements based on business objectives. Assess data quality, usability, and sufficiency to achieve desired business outcomes. Perform data analysis, identify trends and patterns, and generate actionable insights. Present analytical findings and recommendations through effective data visualization and storyboarding. Ensure the accuracy, consistency, and quality of dashboards and reports. Desired Skills & Competencies Strong hands-on experience with Power BI, including: Power BI Desktop and Power BI Service. Dashboard development, publishing, and workspace management. Data modelling, relationships, and schema design. DAX measures, calculated columns, and complex calculations. Power Query for data transformation and cleansing. Row-Level Security (RLS) implementation. Data refresh configuration and report performance optimization. Proficiency in MS SQL for data extraction, transformation, validation, and analysis. Experience in translating business requirements int

NVIDIA's Digital Marketing Operations team is seeking a Senior Data Engineer to help build the shared data infrastructure that powers customer engagement, campaign intelligence, and marketing analytics at scale. Our data platform transforms customer behavioral signals, audience definitions, consent records, campaign metadata, and activation outputs into trusted, governed data products for marketing, analytics, personalization, campaign operations, and regional teams worldwide. These products enable audience segmentation, campaign performance measurement, privacy-compliant data activation, identity resolution, and the continued growth of NVIDIA's marketing technology ecosystem. We would love for you to apply today! What You'll Be Doing: Own a key data domain within Digital Marketing Operations, spanning pipelines, data products, audience services, and consumer teams. Shape its architecture and interfaces while anticipating needs related to scale, reliability, performance, privacy compliance, security, cost, and compatibility. Lead complex, cross-functional initiatives. Collaborate across engineering, marketing, and operations stakeholders to translate requirements into clear data architectures, write high-quality code in the critical path, and drive integrations safely into production. Architect, implement, and evolve batch and streaming pipelines that ingest, transform, reconcile, and serve customer behavioral, audience, campaign, consent, and activation data at scale. Build reliable, maintainable systems leveraging distributed processing frameworks, workflow orchestration tools, cloud data warehouses, object storage, and pub/sub messaging platforms. Build and evolve shared data quality frameworks and engineering standards that improve pipeline reliability, consistency, and efficiency across teams. Lead production incident investigations across pipelines, distributed processing, storage, an

Ready to do the most impactful work of your career? At Coinbase , we are uncompromising on our mission to increase economic freedom. The bar is high, the environment is intense, and we like it that way. This isn't a place for complacency, it’s a place to be pushed past your perceived limits. If you're ready to build the future of finance alongside people who refuse to settle for "good enough," you belong here. Coinbase is a remote-first, but not remote-only company. Expect to get together quarterly for intense in-person working sessions called “surges.” learn more about working at Coinbase . Data Science is an integral component of Coinbase’s product and decision making process: we work in partnership with Product, Engineering and Design to influence the roadmap and better understand our users. With a deep expertise in experimentation, analytics and advanced modeling, we produce insights which directly move the company’s bottom line. What you'll be doing: Conduct analysis and deep dives on ambiguous problems for our business. Your work will result in insights and recommendations that guide the team’s decision making. Build, tune, or measure the performance of online and offline ML models and AI systems used across Coinbase. Act as owner for a broad scope of data and metrics, from definitions and core logging to presentation of data visualizations. Guide code reviews, provide SQL and Python expertise, and create well-maintained ETL jobs. Maintain a high bar for statistical rigor on your team. Design, execute, and uplevel experimentation and causal analyses that build confidence with your stakeholders. What we look for in you: A BA/BS in a quantitative field (ex Math, Stats, Physics, or Computer Science) with ≥5+ years of relevant experience or a PhD in a quantitative field with with ≥3+ years of relevant experience Demonstrated experience in driving impactful data science projects that tackle ambiguous problem spaces. Ability to in

Why Sony Interactive Entertainment? Sony Interactive Entertainment isn’t just the Best Place to Play — it’s also the Best Place to Work. Sony Interactive Entertainment (SIE) is the company behind the PlayStation brand. As a subsidiary of Sony Group Corporation, we’re part of a proud legacy of innovation and excellence. SIE is a dynamic technology company, delivering cutting-edge hardware and network services to more than 100 million people and an entertainment leader, home to some of the most beloved and recognizable intellectual properties (IP) in the world. Our role at SIE is to create and nurture the experiences under the PlayStation brand, a name synonymous with entertainment excellence and creativity. We are looking for an experienced Senior Data Engineer to design, develop and operate trusted, scalable data solutions that power decision-making and transformation across Sony Interactive Entertainment (SIE). Working within Enterprise Data Engineering, you will build reusable data pipelines, integration services and curated data products for business domains including Finance, Supply Chain, IT Operations, People & Places, and Sales & Operations. You will partner with engineering, platform, product and business teams, take end-to-end ownership of complex solutions, and raise engineering standards through technical leadership and mentoring. You will help create reliable, governed and AI-ready enterprise data foundations. Responsibilities Design and deliver enterprise data solutions · Design, build, test and maintain robust batch and near-real-time data pipelines and ETL/ELT workflows across enterprise systems, APIs, SaaS platforms and cloud data environments. · Develop reusable, well-documented data models and domain-aligned data products, translating complex business logic into reliable engineering solutions. · Lead technical design for assigned initiatives, e

Senior Data Journalist Weekly office requirement: Hybrid, 2 days in office Employment type: Permanent At GWI we’re always looking for extraordinary people who thrive on making an extraordinary impact. Right now we’re looking for a Senior Data Journalist to play a key role in our PR & Comms team in London. If that’s you, and making a difference gets you out of bed in the morning, keep reading. It could be the start of something, well, extraordinary. As our Senior Data Journalist, you’ll: Play a pivotal role within the PR & Corporate Comms team, interrogating GWI data and transforming it into actionable, commercially impactful and, editorially punchy narratives. With a journalistic mindset, your work will showcase the value of GWI’s solutions across key personas, verticals and, companies to support GWI’s positioning at the forefront of AI-powered insights in an increasingly agent-driven world. A few things you’ll be responsible for: Support proactive pitches and media enquiries with data points to strengthen the story and build trust with media partners. Partner with the Marketing and PR team to deliver narrative and unique view points for events through relevant formats and channels Collaborating with Head of Comms, lead on the development and upkeep of industry wide data story tracking and wider press narrative trends, themes and forward features. Partner with Marketing, GWI leaders and Insights team to identify strategic thought-leadership themes and bring them to life through compelling data stories. Partner with the Marketing team to support ABM and demand gen efforts for high-value prospects by transforming GWI data into bespoke insights that drive engagement and accelerate pipeline through tailored content. Build bespoke data stories for high-value accounts, enabling Marketing and Revenue teams to deliver personalized campaigns and outreach that resonate with target prospects. Deliver outputs including presentations, white papers, reports, podcast

The AML Data Scientist will work under the supervision of a Functional Team Manager to provide ongoing support in terms of required analysis. The scope of analysis will cover all aspects of analysis performed by the team within different projects: Key Performance Indicator Driven Tuning and Tactical Tuning tasks, and data modeling/validation efforts depending on current needs and project plans. The Data Scientist will follow the globally consistent methodology but is expected to have a high level of initiative and creativity and suggest enhancements to current methodologies. The analyst evaluates moderately complex and variable issues with substantial potential impact, where development of an approach/taking an action involves weighing various alternatives and balancing potentially conflicting situations using multiple sources of information. It requires good analytical skills to filter, prioritize and validate potentially complex and dynamic material from multiple sources. Strong communication skills are required. Work and performance of all teams in the area are directly affected by the performance of the individual. Responsibilities : Apply quantitative and qualitative data analysis methods including Python (and R), SQL to extract, transform and analyze data. Prepare statistical and non-statistical data for visualization and exploration, validate data, identify data quality issues in AML risk related projects. Contribute towards AML Optimization techniques and related deliverables i.e. Optimizing monitoring systems, document optimization solutions, and present results to non-technical audiences; write formal documentation using statistical vocabulary. Build Machine Learning (Predictive Modeling/ Classification/ Regression) models. Conduct data analysis, data mining, read and create formal statistical documentation, and work with

Our Purpose Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we’re helping build a sustainable economy where everyone can prosper. We support a wide range of digital payments choices, making transactions secure, simple, smart and accessible. Our technology and innovation, partnerships and networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential. Title and Summary Senior Data Engineer Data Engineer, D&A Who is Mastercard? Mastercard is a global technology company in the payments industry. Our mission is to connect and power an inclusive, digital economy that benefits everyone, everywhere by making transactions safe, simple, smart, and accessible. Using secure data and networks, partnerships and passion, our innovations and solutions help individuals, financial institutions, governments, and businesses realize their greatest potential. Our decency quotient, or DQ, drives our culture and everything we do inside and outside of our company. With connections across more than 210 countries and territories, we are building a sustainable world that unlocks priceless possibilities for all. Overview Data & Analytics team is part of MasterCard Services group and one of the most rapidly growing organization in the space. This team provides analytic software tools that enable large, consumer-focused businesses to seize the Big Data analytics opportunity by triangulating between business strategy, algorithmic math, and large databases to improve decisions. Role The Data Engineer will participate on data management aspects of product engagements to deliver solutions, as well as contribute to and foster a high performance