Flink jobs

Material Handler US - FL - Pompano Beach posted: Posted 30+ Days Ago

Cloud Enablement Engineering IN Remote India We're not just building better tech. We're rewriting how data moves and what the world can do with it. With Confluent, data doesn't sit still. Our platform puts information in motion, streaming in near real-time so companies can react faster, build smarter, and deliver experiences as dynamic as the world around them. It takes a certain kind of person to join this team. Those who ask hard questions, give honest feedback, and show up for each other. No egos, no solo acts. Just smart, curious humans pushing toward something bigger, together. One Confluent. One Team. One Data Streaming Platform. ABOUT THE ROLE: As a Cloud Enablement Engineer at Confluent, you will be at the intersection of engineering and education, empowering our users and prospects with the knowledge and skills to leverage Kafka and Flink on Confluent Cloud effectively. You will be responsible for guiding our valued users to get started with Confluent Cloud by holding one-on-one conversations and by creating high-quality technical content, including code samples, articles, and webinars, that demonstrate how to set up and use Confluent Cloud for various real-time data use cases like Real Time Data Warehousing, Migration from Open Source Kafka, Custom Connector set up, integrating with AI and ML tools etc. WHAT YOU WILL DO: - Develop and maintain high-quality, well-documented guides for various setup, performance tuning, scaling needs that customers often have. - Develop and maintain high-quality, well-documented code examples that illustrate the usage of Confluent Cloud with

Probe Process Technician FLOD Manassas, VA - Fab 6 posted: Posted Today

Fence Assembler Tampa, FL posted:

Software Engineer, Distributed Data Systems San Francisco, California | OnSite Exa is an applied AI lab building a search engine unlike the world has ever seen. We build massive-scale infra to crawl the entire web, train state-of-the-art embedding models to process it, and design super high performant vector databases to retrieve over it. We now power search for Cursor, Cognition, HubSpot, and over 400,000 developers and have raised $350m from Lightspeed, Benchmark, and a16z. Our ultimate goal is to build perfect search over all the world's information, far beyond Google. If you want to build massive-scale ML systems that will define the way the new AI world consumes information, this is the place for you. As a Data Engineer, you'll architect and build the data infrastructure that powers everything we do-from crawling billions of pages to training our embedding models to serving real-time search. You'll have enormous autonomy in designing systems that scale to hundreds of petabytes. If you've ever wanted to build data pipelines at a scale that most companies only dream about, this is your chance. WHO YOU ARE - Deep understanding of lakehouse architectures (Delta Lake, Iceberg, Hudi) and when to use them - Experience building and operating large-scale distributed data processing pipelines - Hands-on experience with streaming data systems (Kafka, Flink, or similar) - Familiarity with Ray, Spark, or ClickHouse at production scale - An obsessive focus on reliability and building systems that don't page you at 3am BONUS - Experience with Lance or other vector-native

Data Engineer Toronto Requisition ID: 252985 Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture. We are seeking a dedicated and enthusiastic Junior Developer to support automation and innovation initiatives across multiple strategic projects. The ideal candidate will have a solid foundation in Python, with exposure to Spark, Hadoop, and cloud platforms considered a strong asset. This role offers hands-on experience, mentorship, and opportunities for continuous learning and career growth. Is this role right for you? In this role, you will: Design, build, and maintain scalable data pipelines using Apache Spark, PySpark, Apache Beam, or Flink. Develop and enhance ETL/ELT workflows using Airflow and ETL tools such as Talend, Spring Batch, or NiFi. Work with structured and semi‑structured data (CSV, JSON, XML, Parquet, ORC, Iceberg) and apply data wrangling techniques using Python and pandas. Contribute to Test Automation Framework enhancements, ensuring reusable and scalable automation components. Support Group Intake Automation by translating business and operational requirements into backend workflows and data processes. Contribute to BotData Enhancement, developing synthetic data generation and validation logic using PySpark. Develop, test, and optimize Python scripts for automation, data transformations, and validation. Participate in Agile ceremonies (stand-ups, planning, retrospectives) and contribute to documentation and knowledge sharing. Coll

Field Engineer I - PPS_FLD-G NL-SON EN BREUGEL-EKKERSRIJT 2052 posted: Posted 30+ Days Ago

Seasonal Lube and Tire Technician - PT Pensacola International Airport posted: Posted 11 Days Ago

Senior Software Engineer - JVM Language Clients United States (remote) About ClickHouse Recognized on the 2025 Forbes Cloud 100 list, ClickHouse is one of the most innovative and fast-growing private cloud companies. With more than 3,000 customers and ARR that has grown over 250 percent year over year, ClickHouse leads the market in real-time analytics, data warehousing, observability, and AI workloads. The company's sustained, accelerating momentum was recently validated by a $400M Series D financing round. Over the past three months, customers including Capital One, Lovable, Decagon, Polymarket, and Airwallex have adopted the platform or expanded existing deployments. These customers join an established base of AI innovators and global brands such as Meta, Cursor, Sony, and Tesla. We're on a mission to transform how companies use data. Come be a part of our journey! About the team The Integrations Ecosystem org is the bridge between ClickHouse and the rest of the data world. We build and maintain the connections that make ClickHouse accessible to the developers, data engineers, and analysts who rely on it in production every day. Our scope spans low-level database drivers, ingestion and CDC pipelines, data framework integrations, and BI connectivity - ensuring ClickHouse feels native in whatever stack our users already have. We maintain the official language clients (Python, JavaScript, Java, Go, Rust, C++, C#) and ODBC driver; ship first-party connectors for Kafka Connect, Apache Spark, Apache Flink, dbt, and Airbyte; and own integrations with BI platforms. This role sits on the Language Clients team, which

Software Development Engineer, AWS EMR East Palo Alto, California, USA Do you enjoy working on large-scale distributed systems? Do you want to influence how the world interacts with and analyzes large data sets across a number of industries and use cases? The AWS EMR Control Plane team is looking for smart engineers to work on scaling a heavily used AWS Service. If you want to work with a team solving some of the most interesting challenges in distributed systems, building solutions for large scale problems, please talk to us! Amazon EMR is the industry leading cloud-native big data platform for processing vast amounts of data quickly and cost-effectively at scale. Using open source tools such as Apache Spark, Apache Hive, Apache HBase, Apache Flink, and Presto, coupled with the dynamic scalability of Amazon EC2 and scalable storage of Amazon S3, EMR gives analytical teams the engines and elasticity to run Petabyte-scale analysis for a fraction of the cost of traditional on-premises clusters. We are developing innovative new features including our next-generation cluster and work management system, improvements for real-time processing of big data, and ways to enable customers to more easily interact with their data. In this role, you will have the opportunity to collaborate with and learn from senior and principal engineers who are domain experts at AWS. You will be part of a collaborative and growing team working on complex problems for a successful and long-running product. You will have an opportunity to learn and influence how our

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Software Engineer, Data Orchestration N/A Who we are About Stripe Stripe is a financial infrastructure platform for businesses. Millions of companies-from the world's largest enterprises to the most ambitious startups-use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone's reach while doing the most important work of your career. About the team The Big Data Infrastructure operates the critical infrastructure that powers the batch data processing at Stripe. The team supports a variety of use cases, including Payment, Ledger, ML, Fraud Detection, Product Analytics, Regulatory Reporting, Financial Data Reconciliation, and externally facing products like Radar and Sigma. As an example of the scale, the team's systems serve hundreds of teams, thousands of workflows, 100,000+ task executions, O(billion) transformations, and moving terabytes of data processing over 1 GB/second every day. Our users inside Stripe include other engineering teams, Data Scientists, Sales and Operations, Finance, etc. Data Orchestration builds and operates the time-based and event-based orchestration infrastructure that powers and accelerates batch data pipelines. The team operates on a wide range of tech stacks including Airflow, Spark, SQL, Kafka, Flink, Hive MetaStore, Trino, Pinot, Python, Java, Scala, S3, and Iceberg. What you'll do As a Software Engineer on this team, you'll design and build infrastructure that powers batch data processing at Stripe. Responsibilities Design, build, and

Sr. Software Development Engineer, Measurement, Ad Tech, and Data Science Santa Monica, California, USA Do you want to architect systems that process petabytes of data and power advertising decisions for millions of advertisers worldwide? Are you energized by solving hard distributed systems problems at a scale few companies ever reach? This is your opportunity. Amazon Advertising operates one of the largest big data platforms on the planet - processing trillions of events daily across display, search, native, and video surfaces on every device. We're looking for a Senior Software Development Engineer to lead the design and delivery of our next-generation measurement and reporting infrastructure - the backbone that enables advertisers to understand, attribute, and optimize their spend across Amazon's full advertising suite. You will define the technical direction for critical data systems, driving architectural decisions that balance scale, latency, cost, and extensibility. You'll leverage technologies like Spark, Flink, and Java alongside AWS services - EMR, Kinesis, DynamoDB, Bedrock, and more - to build pipelines and platforms that serve diverse consumers at Amazon scale. You'll own the end-to-end lifecycle: from whiteboarding system designs in ambiguous problem spaces to shipping production systems that handle billions of requests with high availability. The ideal candidate has a proven track record of delivering highly distributed systems at scale, with deep expertise in platform design patterns - including SDKs, libraries, APIs, and versioning strategies that enable teams across the organization to build on your foundations. You are operationally excellent, technically rigorous, and thrive when partnering across

Cleaner Client Site - USA - FL - Davie - 5480 Griffin Road posted: Posted 30+ Days Ago

Test Tag Job Ponte Vedra Beach, FL Test Tag Job

Senior Software Engineer (L5) - Analysis 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 Analysis team in Experimentation Platform builds and operates the core systems that power A/B test analysis across Netflix. Our tools enable confidence in business decisions that affect our members. We are looking for a Senior Distributed Systems Engineer to design, build, and operate the next generation of analysis tooling at Netflix. What You'll Do Build and evolve critical experiment analysis tooling Build, maintain, and improve real-time and batch analysis workflows for experiment analysis, regression detection, and more Own reliability and performance Participate in on-call, lead incident response, and drive long-term reliability improvements Instrument services with rich observability (metrics, logs, traces) and continuously tune for resilience, performance, and scalability Shape data and integration surfaces Collaborate with teams using technologies like Flink, Spark, Elasticsearch, and Druid to ensure experimentation data is correct, timely, and usable Define clear data and API contracts for consumers and pipelines Partner with product engineering teams Deeply understand experimentation workflows across Netflix Simplify and improve the experience for monitoring and deciding experiments What Sets You Apart Strong understanding of experimentation lifecycle and risks You've done it before: run or

Junior Quality Engineer Raron posted: Posted 30+ Days Ago

Staff Software Engineer, Stream Compute San Francisco, Seattle, New York, Toronto Who we are About Stripe Stripe is a financial infrastructure platform for businesses. Millions of companies-from the world's largest enterprises to the most ambitious startups-use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone's reach while doing the most important work of your career. About the team The Stream Compute team at Stripe builds and operates the infrastructure, tooling, and systems behind our Flink-powered stream processing systems. We're at the heart of several core asynchronous workflows, operating at significant scale and handling vast amounts of sensitive financial data. Our work powers intricate processes involving various critical financial operations and real-time analytics. We run globally distributed systems with high reliability and performance to meet Stripe's scaling, availability, and product needs, and we continually reduce operational toil by investing in automation and self-service tooling for upgrades, maintenance, and day-to-day operations. The team is distributed between Seattle, Toronto, and remote locations. What makes our team truly exciting is our commitment to our users: we ensure no event is dropped, state integrity is preserved, and exactly-once processing is supported as a first-class feature. Working at the intersection of real-time data processing and fintech innovation, we continuously push the boundaries of what's possible. Our focus on innovation, user

Material Handler Laguna, Mexico posted: Posted 30+ Days Ago

Senior Software Engineer - Data Platform 📍 Toronto, ON | Hybrid | Remote ABOUT TERMINAL Terminal is Plaid for Telematics in commercial trucking. Companies building the next generation of insurance products, financial services and fleet software for trucking use our Universal API to access GPS data, speeding data and vehicle stats. We are a fast-growing, venture-backed startup supported by top investors including Y Combinator, Golden Ventures and Wayfinder Ventures. Our exceptionally talented team is based in Toronto, Canada. For more info, check out our website: https://withterminal.com Note: This role is only available to Toronto/GTA-based candidates ABOUT THE ROLE We're looking for an engineer who thrives on building scalable data platforms and enjoys tackling complex backend challenges. This isn't just a data engineering role, you'll be designing and optimizing the data platform that powers Terminal's API, managing everything from data streaming and storage to analytics features at petabyte scale. You should be comfortable navigating both data and backend engineering, with a solid foundation in software development. You'll work with advanced data architectures, including Iceberg, Flink, and Kafka, tackling large-scale challenges and contributing to core product development using Java and Python. If you're excited by the opportunity to shape a high-impact platform and tackle diverse engineering problems, we'd love to hear from you. WHAT YOU WILL DO - Own projects aimed at enhancing data replication, storage, enrichment, and reporting capabilities. - Build and optimize efficient streaming and batch data pipelines that support our core product and API. - Design scalable storage solutions

DFT Engineer Richardson posted: Posted 22 Days Ago

Sr. Software Development Engineer, EMR East Palo Alto, California, USA Do you enjoy working on large-scale distributed systems? Do you want to influence how the world interacts with and analyzes large data sets across a number of industries and use cases? Amazon EMR provides a managed framework that makes it easy, fast, and cost-effective to process vast amounts of data across dynamically scalable Amazon EC2 instances using popular distributed Hadoop frameworks such as Apache Spark, HBase, Presto, and Flink, and interact with data in other AWS data stores such as Amazon S3 and Amazon DynamoDB. Our customers in a variety of industries - eg: real estate, travel, finance and gaming - use EMR to process and interact with their vast datasets to fulfill existing and uncover new business needs. We are looking for talented engineers to help us develop innovative features for EMR to enable an interactive, secure and seamless experience for our growing customer base. One such feature is our next-generation cluster and work management system designed with an emphasis on speed, reliability and security. We'll trust you to design and implement critical high performance, large scale services and libraries in collaboration with other internal development teams to solve key business problems with minimal technical supervision. We'll be looking to you to evangelize SDLC best practices across the organization, help refine operational procedures and workflows, and influence architectural decisions to achieve our technical and business goals. In this role, you will have the opportunity to collaborate with and learn

Spray Painter - Multiple Opportunities AUS - Port Melbourne, Australia posted: Posted Today

Software Engineer (L5) - Experimentation Platform 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. At Netflix, our mission is to entertain the world, and experimentation is how we learn, innovate, and continuously improve the product for hundreds of millions of members. The Experience Foundation team in Experimentation Platform builds and operates the core systems that power A/B test allocation, adaptive experimentation, and feature rollouts across Netflix. Our services are on the critical path for product experiences on every device, and must be highly available, low latency, and resilient. We are looking for a Senior Distributed Systems Engineer to design, build, and operate the next generation of experimentation and feature flag infrastructure at Netflix. What You'll Do Build and evolve critical experimentation and feature flag services Design and implement high-scale, low-latency services for experiment allocation and feature flag evaluation Advance core distributed systems for decentralized allocation, rules evaluation, and real-time decisioning Own reliability and performance Participate in on-call, lead incident response, and drive long-term reliability improvements Instrument services with rich observability (metrics, logs, traces) and continuously tune for resilience, performance, and scalability Shape data and integration surfaces Collaborate with teams using technologies like Flink, Spark, Elasticsearch, and