Flink jobs

Material Handler Osijek posted: Posted 30+ Days Ago

Software Engineer - Streaming Data - Seattle, WA Seattle, WA Who we are In the past, to be a successful restaurateur, you simply had to have a passion for food and a passion for people - but to succeed as a digital restaurateur you also need to have a passion for technology. We believe in the joy of serving others, and that's why we created Otter - to help restaurateurs succeed in online food delivery. Restaurants around the world, both large and small, including Chick-fil-A, Ben & Jerry's, KFC, and Eataly trust our software to power their delivery business. We increase sales, reduce order issues, and decrease delivery headaches. What you'll do - Lead the development, architecture, and maintenance of real-time streaming pipelines with Apache Flink, Kafka, and related tools to ensure low-latency, reliable data delivery. - Implement data quality strategies, including dynamic filtering, checkpointing, and auto-healing for robust, consistent pipelines. - Support and operate real-time data infrastructure, internal tooling, and monitoring systems for pipeline health and performance. - Collaborate cross-functionally with product, engineering, and analytics teams to address data needs and feature requests. - Establish and promote best practices in streaming data engineering, data governance, and cloud platforms while optimizing data models for streaming analytics. What we're looking for - 3+ years of domain experience. - Exposure to streaming data frameworks/tools (e.g., Apache Kafka, Apache Flink, Google Data Flow, etc.) - Required bachelor's degree in Computer Science, Engineering, or a related field (or relevant practical experience). - Experience in

Opérateur finishing Le Locle posted: Posted Today

Senior Software Engineer – Real-Time Data Platform London, United Kingdom Join our team as a Senior Software Engineer and help build the backbone of our high-performance, real-time data platform. Work with cutting-edge technologies like Apache Flink, Kafka, and AWS to deliver scalable, mission-critical systems. Collaborate with talented engineers and stakeholders to solve complex challenges at scale. Shape the future of data-driven business with us.

Pipefitter USA - Illinois - Glenwood posted: Posted 30+ Days Ago

Senior Data Engineer Hong Kong, Hong Kong SAR Who We Are At OKX, we believe that the future will be reshaped by crypto, and ultimately contribute to every individual's freedom. OKX is a leading crypto exchange, and the developer of OKX Wallet, giving millions access to crypto trading and decentralized crypto applications (dApps). OKX is also a trusted brand by hundreds of large institutions seeking access to crypto markets. We are safe and reliable, backed by our Proof of Reserves. Across our multiple offices globally, we are united by our core principles: We Before Me , Do the Right Thing , and Get Things Done . These shared values drive our culture, shape our processes, and foster a friendly, rewarding, and diverse environment for every OK-er. OKX is part of OKG, a group that brings the value of Blockchain to users around the world, through our leading products OKX, OKX Wallet, OKLink and more. About the Team Our company, specializing in blockchain and web3 technologies, places a high emphasis on security and reliability. We are seeking individuals who are deeply knowledgeable in operating systems, browsers, DApps, smart contract security, and programming language behaviors. Responsibilities include identifying potential risks such as private key storage and designing leakage prevention solutions. What You'll Be Doing: - Design, develop, and maintain real-time and batch data processing pipelines using Flink, ensuring high performance and scalability. - Responsible for the architecture design and development of Flink streaming systems, tailoring solutions to complex business requirements. - Collaborate

Backend Engineer San Francisco, California, USA Backend Engineer San Francisco, CA Being a Backend Engineer at a company smaller than 10 people is special. You'll have a ton of autonomy, be expected to own and build a significant part of the product, and design the product's growth for the next set of engineers who will be joining us. You'll wear many hats: developer, designer, product owner, mentor, architect, support engineer, and sales engineer. Our engineers are strongly opinionated people who want to continuously improve the product they're working on, the team they're in, the company they're working at, and the world around them. Since our launch we've been getting a ton of positive feedback and pull from the market and now we're scaling the team to capture that momentum. We are well funded by investors like Andreessen Horowitz and Boldstart Capital. Our system is a real-time stream processing application built on top of Apache Flink, running on Kubernetes in AWS. The user-facing application's backend is a Java-based web application built on top of Dropwizard running on Kubernetes, that manages all the streaming pipelines on behalf of the user, translating their intents into complex streaming Flink pipelines, and delivering our awesome sauce. The role would be to own this backend, deliver clear and intuitive RESTful APIs and ensure their uptime and scalability. Experience with distributed systems, modern Java web applications and RESTful APIs for end users and front-end development are important . The ideal candidate cares deeply about the user experience

Senior Software Engineer (L5) - Personalization Data USA - Remote At Netflix, our mission is to entertain the world. Together, we are writing the next episode - pushing the boundaries of storytelling, global fandom and making the unimaginable a reality. We are a dream team obsessed with the uncomfortable excitement of discovering what happens when you merge creativity, intuition and cutting-edge technology. Come be a part of what's next. The personalization data engineering team is responsible for building large, web-scale datasets used for enabling and improving member experience. These datasets are integral inputs to our machine learning algorithms, which drive the exceptional experiences our members enjoy. About the role Given the size, complexity and criticality of our datasets, we are looking for a Software Engineer with a deep analytical mindset and experience with modern distributed systems. As a member of this team, you will drive innovation in big data processing by contributing and adding to the team's suite of data products and frameworks. You will also have the unique opportunity to partner with our world-class algorithm teams to drive continuous improvement and innovation to Netflix personalization. Skills required for this role: Expertise in building production data systems (using Spark, Flink, etc.) on web-scale datasets. Proficiency in at least one major programming language (e.g. Java, Scala) and ability to pick up new tech skills independently. Hands on experience with schema design and data modeling, with an unmistakable passion for elegant and intuitive dataset design. Qualities we value: You have a passion

FinTech Supervisor | OneStream | 20E | FLEX ATLANTA, Georgia, United States of America This position serves as a liaison between global Financial Planning & Analysis (FP&A) users and application developers to deliver OneStream financial systems solution projects. He/She is part of the F...

Sanitation Nights Freshpoint South Florida posted: Posted 30+ Days Ago

Senior Staff Engineer Dublin We are seeking a Senior Staff engineer to design, build, and operate the internal and external Observability stack for the MongoDB platform. Tens of thousands of customers depend on our Observability stack to monitor their database clusters and to generate actionable alerts to safeguard critical workloads. This is an opportunity to join a team that is responsible for all Observability systems that support metrics, metric visualization, logs, traces, and alerts for MongoDB. We are looking for engineers with high standards, and experience in setting direction and technical leadership for large engineering teams in designing and operating complex distributed systems, with strict SLO on security, durability, availability and performance. As MongoDB Atlas and its supporting infrastructure continue to experience rapid growth, the demand for high-cardinality observability data for internal and external use cases means we need to continually innovate and scale our systems to the next level. For example, MongoDB Observability systems need to handle 10's of billions of metrics time series, all whilst processing petabytes of logs, traces, and events. Our stack includes VictoriaMetrics, Splunk, Flink, WarpStream/Kafka, Java, Golang Fluentbit. In addition to owning our observability infrastructure, as an Engineer on the team, you'll also work closely with other SWE and SRE teams to promote and implement best practices in instrumenting and monitoring their services. This is a highly collaborative role, and you will get to own some of the most relied upon internal infrastructure at Mongo. Our team champions a strong culture of inclusivity, diversity,

Staff Engineer Maintenance Tie Bar Cut Melaka (Malaysia)

Data Engineer II Country India About McDonald's: One of the world's largest employers with locations in more than 100 countries, McDonald's Corporation has corporate opportunities in Hyderabad. Our global offices serve as dynamic innovation and operations hubs, designed to expand McDonald's global talent base and in-house expertise. Our new office in Hyderabad will bring together knowledge across business, technology, analytics, and AI, accelerating our ability to deliver impactful solutions for the business and our customers across the globe. Position Summary: We are seeking a Data Engineer II preferably Full Stack Engineer, to focus on core data engineering work within our RealTime Customer Data Platform (CDP). This role emphasizes building, testing, and operating data pipelines while developing strong fundamentals in streaming and distributed data systems. Roles & Responsibilities: A hands-on, full stack Data Engineering leader who can build real time and batch customer data pipelines and build audience/segmentation capabilities, scale them globally, and develop worldclass engineering teams that deliver privacy safe, high-performance activation. Build and scale real time pipelines for clickstream, transactional, and behavioral data using Kafka, Flink, Spark Structured Streaming, or Dataflow/Beam. Design and evolve customer event models, session-ization, and cross channel stitching to maintain a unified, channel stitching to maintain a unified, privacy aware customer view. Implement low latency activatio

Senior Software Engineer (Monitor team) Flexible - Serbia What you will do - Reporting to the Engineering Manager, you will be part of a team of expert developers building the core distributed systems that power the Sysdig platform at scale. - Collaborate with colleagues in product and design to define feature specifications and timelines. - Be part of an amazing team where the primary goal for everybody is to work together to build the best product we can. We enjoy what we do and we always aim to get better. - Participate in an on-call rotation to address any urgent issues. What you will bring with you - Advanced coding skills, with 5+ years of experience in Java or Golang Backend, such as RESTful API design and microservice-based architectures. - Hands-on experience building horizontally scalable components and event-driven architectures using messaging and streaming platforms like Redis, Kafka, NATS, Apache Flink, or similar. - Proficiency with testing methodologies, such as unit testing and integration testing. - We appreciate experience observability topics (metrics, logging, tracing) and tools (e.g., Prometheus, Grafana, Jaeger, Elastic Stack, or similar). - Experience operating in Kubernetes and Cloud providers (AWS, GCP, Azure) is desirable. What we look for - You are willing to participate in professional development activities to stay current with industry trends and improve. - You are fluent in English with the proficiency to collaborate with a global team while expressing your thoughts and ideas, contributing to both technical and product discussions and seeing them come

Scientist - Slurry Hwaseong-si, Gyenggi-do posted: Posted 30+ Days Ago

Tubefitter US-Louisiana-New Orleans

Data Engineer - Digital Assets Zug, Switzerland IMC has a strong presence in traditional Finance and has been expanding into Crypto over the last years. Through its overseas affiliates, IMC provides liquidity and trades on many cryptocurrency exchanges and DeFi protocols. You can expect a dynamic, fast-paced environment that delivers a steady stream of challenges and opportunities, with one of the most exciting aspects of the job being our quick feedback loop in the research, development and deployment of strategies. As a Data Engineer, you'll be joining our core engineering team. You will contribute to our proprietary low-latency trading system, acquire market and trading data, implement ETL processes and collaborate with traders and researchers on improving the trading results. Your Core Responsibilities: - Collaborate on developing market and trading data pipeline systems, both in batch mode and streaming mode. - Extend data pipelines to multiple exchanges/platforms and across different areas of application. - Work closely together with other engineers and researchers, providing efficient data solutions for our research and trading operations. Your Skills and Experience: - Masters in Computer Science, Mathematics, Physics or a related technical field. Industry experience in big data would be a big plus. - Skills in data pipeline technologies such as Clickhouse, Flink and Kafka. Experience with Kubernetes is a plus. - Proficient programming experience in Java/Scala & Python, C++ being a plus. - You are absolutely fluent in English and enjoy working in an international team. - You are eager to design, develop, test, deploy,

Performance Coach USA FL - Stuart Airport Road posted: Posted Yesterday

Member of Technical Staff - Data Platform Palo Alto, CA ABOUT xAI xAI's mission is to create AI systems that can accurately understand the universe and aid humanity in its pursuit of knowledge. Our team is small, highly motivated, and focused on engineering excellence. This organization is for individuals who appreciate challenging themselves and thrive on curiosity. We operate with a flat organizational structure. All employees are expected to be hands-on and to contribute directly to the company's mission. Leadership is given to those who show initiative and consistently deliver excellence. Work ethic and strong prioritization skills are important. All employees are expected to have strong communication skills. They should be able to concisely and accurately share knowledge with their teammates. ABOUT THE ROLE: The Data Platform team builds and operates the infrastructure responsible for all large-scale data transport and processing across the company. We own and manage core systems including Apache Kafka, HDFS, Spark, Flink, and Trino, enabling real-time ML pipelines, feed ranking, experimentation, analytics, and observability at petabyte scale. Our team deals with latency-critical workloads, high-throughput streaming, and distributed compute systems that require fault tolerance, performance, and absolute reliability. As a software engineer on the Data Platform team, you will design, build, and operate the distributed systems powering X's data movement and compute. You will take ownership of infrastructure components that process trillions of events daily, driving the scalability, performance, and reliability of the systems that power product and ML workloads across the company. RESPONSIBILITIES: - Design and

Mecánico/a de Flota Junior Barcelona ASF posted: Posted Today

Staff Engineer, Observability Dublin We are seeking a Staff engineer to design, build, and operate the internal and external Observability stack for the MongoDB platform. Tens of thousands of customers depend on our Observability stack to monitor their database clusters and to generate actionable alerts to safeguard critical workloads. This is an opportunity to join a team that is responsible for all Observability systems that support metrics, metric visualization, logs, traces, and alerts for MongoDB. We are looking for engineers with high standards, and experience in setting direction and technical leadership for large engineering teams in designing and operating complex distributed systems, with strict SLO on security, durability, availability and performance. As MongoDB Atlas and its supporting infrastructure continue to experience rapid growth, the demand for high-cardinality observability data for internal and external use cases means we need to continually innovate and scale our systems to the next level. For example, MongoDB Observability systems need to handle 10's of billions of metrics time series, all whilst processing petabytes of logs, traces, and events. Our stack includes VictoriaMetrics, Splunk, Flink, WarpStream/Kafka, Java, Golang Fluentbit. In addition to owning critical components of our observability infrastructure, as a Staff engineer on the team, you'll also work closely with other SWE, Product and SRE teams to promote and implement best practices in instrumenting and monitoring their services. This is a highly collaborative role, and you will get to own some of the most relied upon internal infrastructure at Mongo. Our team champions a strong

Cleaning Installer Miami, FL posted: Posted Yesterday

Data Engineer Williamsburg, NY, United States Company Description: Shaped is an API for developers to seamlessly add personalized ranking and recommendation into their products. These frictionless discovery experiences help end-users find what they want faster, and, consequently, grow conversion and engagement business metrics. We're a seed stage start-up backed by top-tier investors (e.g. Y-Combinator, Susa Ventures, Tribe Capital etc…) and executives (e.g. Google, Amazon, Uber, Dropbox etc…). Our team comes from Meta, Google, Apple and Uber. We're a remote team but have a small office in Brooklyn, New York. Job Description: We are looking for a data engineer to design, build and optimize Shaped's real-time and batch streaming infrastructure. You will be a founding engineer working to reliably ingest customer data (both with batch and real-time processing) into our our state-of-the-art AI discovery engine. As one of Shaped's early employees you will help shape our product, culture and vision. We're excited to work with you. Come build the future of AI with us! Qualifications: 6+ years experience Skills should include Python, Data Warehouses (such as Clickhouse, Snowflake, or BigQuery) Nice-to-have skills should include DBT, Meltano, Airflow, and Apache Flink (or other stream processing frameworks) Additional Information: Salary $130K - $200K Equity 0.10% - 0.50%

Systems Development Engineer, Files, Edge, and Data Streams (FEDS) Denver, Colorado, USA Application deadline: Jun 16, 2026 The Amazon Dedicated Cloud (ADC), AWS for Government, Storage Services team is hiring a cleared Systems Development Engineer to join the team. This is an exciting opportunity to use the latest cloud computing technologies to help U.S. Government agencies implement innovative cloud computing solutions and solve technical problems. In this role, you will join a team of highly talented engineers building and operating Amazon Simple Queue and Notification Services, Kinesis Data Streams (KDS), and AWS Managed Flink and Kafka, services instrumental to some of our customers' most sensitive workflows. This is a great opportunity to have direct impact to some of the largest-scaled systems in the world and work with some of the smartest people in the industry, while having a huge impact. A successful Systems Development Engineer should be focused on troubleshooting complex system operations, not just on a server level but enterprise wide. Additionally, you will take part and be responsible for developing and building exciting new features for these services - further enabling our customers' mission. You should also have a solid foundation in multiple operating systems, networking and general knowledge of cloud services. You will work with Amazon's largest and most demanding customers to address specific needs across a full suite of services. You will dive deep into technical issues and work diligently to improve the customer experience. This position requires that the candidate selected must currently possess and