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Job Description: At Bank of America, we are guided by a common purpose to help make financial lives better through the power of every connection. We do this by driving Responsible Growth and delivering for our clients,…
Build and scale data pipelines, ML infrastructure, and distributed services to power ZipRecruiter’s job-matching platform using Python, Spark, Kafka, and Kubernetes.
We’re looking for an Engineering Manager to lead the team that builds and scales the indexing infrastructure powering web and image search. The team runs both petabyte-scale offline batch pipelines and near-real-time…
Hybrid (2 days/week in-office) AWS data engineer role in Toronto: build and maintain scalable data pipelines, data lakes and warehouses on AWS (S3, Glue, Lambda, Redshift, Step Functions) and migrate IBM Netezza warehouse logic to an AWS data lake for a banking/financial client. 5+ years in the bank/financial domain required.
Wattpad's vision is to entertain and connect the world through stories. A leading global webnovel platform, Wattpad has democratized storytelling for a new generation of diverse Gen Z writers and their fans.…
A consultancy DevOps engineer who designs, deploys and secures Linux-based Hortonworks Hadoop big-data clusters on AWS, builds CI/CD pipelines, automates infrastructure with Ansible/Terraform/Docker, and runs monitoring and ELK logging for a multi-tenant data platform serving a UK client program.
Opis stanowiska Dołączysz do zespołu Działu R&D, który współtworzy rozwiązania analityczne i backendowe dla największej internetowej telewizji w Polsce, należącej do wiodącej grupy medialno-telekomunikacyjnej w…
19,000 – 23,750 PLN Important: if an employer asks you to log into their system via iCloud or Google, send a code, an SMS or Telegram password, run some code, or install software — refuse. These are signs of fraud.…
Leads a data engineering team designing, building, and optimizing large-scale Big Data solutions — distributed Spark pipelines, stream processing, ETL, and cloud data services on Azure/AWS with Databricks — while mentoring engineers and driving Agile delivery.
Senior backend engineer at Salesforce building and scaling APIs and backend services for its multi-tenant CRM clouds (Marketing, Commerce, Service, Big Data, etc.) using Spring, gRPC and REST, with an AI-first workflow (prompt engineering, AI coding tools). Hybrid role in San Francisco, three days per week in office.
Senior Software Engineer designing and building the scalable, highly available backend and APIs for a SaaS platform that ingests, stores, and processes real-time and batch data from smart biometric/lifestyle sensors. Core stack is Java (Scala/Python a plus) with NoSQL and relational storage, distributed systems like Spark and Kafka, and AWS.
Senior engineers will design, architect, and scale high-volume backend services and micro-services serving millions of daily mobile users. The stack centers on Linux, AWS, Ruby on Rails, Go, Java, Cassandra, MySQL, RedShift, Hadoop, and AMQP messaging in an agile environment.
Senior Infrastructure Engineer in Boston who builds, evolves, and maintains high-availability production infrastructure as code for a mobile-focused business. Core stack: Ubuntu Linux administration, Puppet automation, AWS (EC2/RDS/SES/SNS), MySQL tuning, virtualization, networking, and Ruby/shell scripting.
We are looking for a hands-on software manager to own our Big Data and Analytics Platform. We are building the next generation data services and analytics platform to analyze our ever-growing electricity and energy…
Senior back-end engineer designing high-availability Go microservices and core platform APIs for large-scale consumer/business platforms serving millions of mobile users daily. Core stack includes Linux, AWS, Cassandra, MySQL, Redis, AMQP, Ruby on Rails and Go, with an agile process.
Senior Big Data Engineer on a Big Data Analytics Platform team, designing, deploying, and supporting data ingestion pipelines from cloud-connected consumer audio products (wireless headphones, WiFi speakers) to power advanced analytics. Core stack: Apache Spark, Cloudera/Hadoop ecosystem, Python/Scala/Java, cloud platforms (AWS/Azure/Google), and SQL.
Designs and owns the architecture for a Big Data & Analytics Platform, building pipelines and solutions that ingest high-volume data and enable advanced analytics for business partners. Core stack includes Cloudera Hadoop, cloud platforms (AWS/GCP/Azure), Spark/Hive/NoSQL stores, ETL tools, and SQL/Linux, delivered in an agile team.
Senior software engineer on small, autonomous, cross-functional teams building backend micro-services in Java 8 (Dropwizard, Kafka, Spark, Hadoop), React single-page front ends, and core infrastructure on Apache Mesos with HBase, Elasticsearch, and other data stores. The company builds software that powers small and medium-sized businesses; open-source contributions are a plus.
Senior engineer on a data infrastructure team building and automating large-scale data storage platforms (MySQL/Vitess, HBase, Kafka, Spark, Elasticsearch on AWS) that serve millions of requests per second. Day to day: automating deployment, configuration, and recovery of data stores and building tools that make database access simpler and more reliable for application developers.
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