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Data engineering
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๐Ÿ“ United States

๐Ÿงญ Employee

๐Ÿ’ธ 106900.0 - 125000.0 USD per year

๐Ÿข Company: DEPTยฎ

  • Expertise with data visualization tools such as Tableau, Google Sheets, Data Studio is required.
  • Advanced experience developing custom SQL
  • Experience with MS SQL Server, Snowflake, Azure or other data extraction, transformation and storage tools preferred
  • Knowledge of collecting and storing data using data transfer tools such as SSIS or Matillion, and experience with Secured Storage (sFTP, S3, etc.)
  • Requires excellent organizational, written, and communication skills
  • Ability to manage multiple tasks to completion within established deadlines
  • The ability and strong desire to innovate with strong problem-solving, technical, and communication skills
  • Work with the internal teams, external partners, and the client to assess automation needs
  • Build tools that expand upon automation via DEPTโ€™s existing systems
  • Take lead on projects and contribute to the evolution of processes by working with the team as well as independently with the goal of driving efficiency
  • Manage creation, implementation, validation and ongoing support of data visualization tools and recurring reports
  • Serve the client as an expert on data visualization best practices
  • Grow credibility with internal and external stakeholders by exceeding expectations and delivering valuable products and services
  • Develop and refine best practices and documentation around onboarding and usability
  • Contribute to the company's knowledge base by creating and sharing case studies and POVs
  • Develop logic to create an alert system for anomaly detection using Python

PythonSQLETLSnowflakeTableauAPI testingAzureData engineeringRESTful APIsReportingData visualizationData modelingData analytics

Posted about 10 hours ago
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๐Ÿ“ Canada

๐Ÿข Company: Jobgether๐Ÿ‘ฅ 11-50๐Ÿ’ฐ $1,493,585 Seed about 2 years agoInternet

  • 4+ years of experience as a professional developer
  • 2+ years of experience as an engineering team manager.
  • Strong expertise in Python and programming fundamentals.
  • Experience working with data solutions incorporating both online and batch ML inference.
  • Expertise in data engineering and machine learning design patterns and best practices.
  • Experience deploying machine learning models into distributed, data-intensive production systems.
  • Strong communication and collaboration skills to work effectively across teams.
  • Experience working in a Cloud-native environment (Azure, GCP, or AWS).
  • Lead and manage a team of engineers in the design, development, and deployment of data and machine learning solutions.
  • Oversee the full software development lifecycle, including discovery, design, implementation, and deployment of cutting-edge systems.
  • Foster a high-performance culture within the team, providing mentorship and guidance to ensure continuous skill development.
  • Ensure the successful delivery of business objectives, with an emphasis on delivering solutions that meet the needs of scientific researchers.
  • Collaborate cross-functionally with teams to ensure smooth integration of data solutions and machine learning models.
  • Navigate ambiguity and adapt to change, taking both hands-on and strategic leadership roles as needed.

AWSBackend DevelopmentDockerLeadershipPythonSQLApache AirflowCloud ComputingMachine LearningAlgorithmsApache KafkaData engineeringData scienceREST APICommunication SkillsCollaborationCI/CDAgile methodologiesMentoringTeam managementData modelingData analytics

Posted about 10 hours ago
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๐Ÿ“ India

๐Ÿ” Software Development

๐Ÿข Company: Jobgether๐Ÿ‘ฅ 11-50๐Ÿ’ฐ $1,493,585 Seed about 2 years agoInternet

  • Hands-on experience with GIS, location-based data ingestion pipelines, and AWS services such as EC2, S3, and Lambda.
  • Proficiency in Python or Java for orchestration of data pipelines.
  • Strong experience in writing analytical queries using SQL.
  • Familiarity with Airflow, Docker, and version control with Git.
  • Design and maintain data ingestion pipelines that integrate and process large datasets from multiple sources.
  • Build infrastructure for ETL (Extract, Transform, Load) processes, utilizing AWS technologies such as EC2, S3, EMR, and Lambda.
  • Collaborate with Product, Analytics, and Client Services teams to resolve data-related technical issues and ensure data infrastructure needs are met.
  • Write and optimize SQL queries to extract and analyze data effectively.
  • Participate in code reviews, ensure quality control, and test applications before deployment.
  • Contribute to the improvement of the location-based platform by proposing and implementing innovative solutions.

AWSDockerPythonSQLCloud ComputingETLGitJavaAirflowData engineering

Posted about 12 hours ago
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๐Ÿ“ India

๐Ÿงญ Full-Time

๐Ÿ” Software Development

๐Ÿข Company: Weave๐Ÿ‘ฅ 501-1000๐Ÿ’ฐ $70,000,000 Series D over 5 years agoMedicalSaaSVoIPUnified CommunicationsSmall and Medium BusinessesSoftware

  • 3+ years of experience with back-end languages, e.g. Go, Java, Ruby, Python, C#, etc. (Go is a major plus)
  • Experience building Data Platform and Products at scale
  • Experience working with distributed systems, and inter-service communication protocols and APIs, e.g ReST, protobufs/gRPC, Kafka, NSQ, etc.
  • Develop and review design, functional, technical, and/or user documentation, as needed.
  • Contribute to the design, implementation, and architecture of new or re-engineered software.
  • Develop, test, and integrate code for new or existing software of significant complexity.

Backend DevelopmentDockerSQLGCPJenkinsKafkaKubernetesData engineeringGoREST APICI/CDMicroservices

Posted about 14 hours ago
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๐Ÿ“ United States

๐Ÿ” Software Development

๐Ÿข Company: Jobgether๐Ÿ‘ฅ 11-50๐Ÿ’ฐ $1,493,585 Seed about 2 years agoInternet

  • 7+ years of experience in software engineering, with a focus on data platform management and support.
  • Expertise in programming languages like Python, Java, C++, or SQL, and hands-on experience with tools such as Trino (or Presto), Apache Spark, Terraform, Kubernetes, and ArgoCD.
  • Familiarity with Object Storage and open table formats like Iceberg and DeltaLake.
  • Strong communication skills, with a willingness to participate in daily stand-ups and a desire to continuously learn and keep up to date with technology advancements.
  • Experience in troubleshooting complex systems and optimizing performance across full stack systems.
  • Design, implement, and maintain a high-performance on-premises data platform to support large-scale OLAP/OLTP and feature engineering workloads.
  • Collaborate closely with internal teams to gather requirements and ensure the platform meets business needs.
  • Provide production-grade support, focusing on observability, instrumentation, and ensuring adherence to service level objectives (SLOs).
  • Automate administrative tasks and set up alerts for proactive system monitoring and issue resolution.
  • Troubleshoot performance issues and implement optimizations to eliminate bottlenecks across the platform.
  • Engage with vendors to provide critical product feedback and advocate for new features to meet evolving business needs.
  • Develop and implement best practices for data security across various layers of the platform.

PythonSQLBashJavaKubernetesC++Data engineeringSparkCI/CDTerraformTroubleshootingSoftware EngineeringData management

Posted about 15 hours ago
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๐Ÿ“ United Kingdom

๐Ÿงญ Full-Time

๐Ÿ” Software Development

  • Experience writing code in a modern object-oriented programming language (e.g., Python, Java, or C++).
  • Strong problem-solving and critical-thinking skills.
  • Comfortable in navigating and understanding complex codebases and distributed systems.
  • Ability to communicate effectively to technical and non-technical cohorts alike.
  • Self-motivated with a proactive approach to identifying opportunities and recommending scalable, creative solutions.
  • Exposure to some of the following technologies: Python, AWS Redshift, AWS Athena / Apache Presto, Big Data technologies (e.g S3, Hadoop, Hive, Spark, Flink, Kafka etc), NoSQL systems like Cassandra, DBT is nice to have.
  • Contribute to the experimentation and development of new ad products at Yelp.
  • Design, build, and maintain efficient data pipelines using large-scale processing tools like Apache Spark to transform ad-related data.
  • Manage high-volume, real-time data streams using Apache Kafka and process them with frameworks like Apache Flink.
  • Estimate timelines for projects, feature enhancements, and bug fixes.
  • Work with large-scale data storage solutions, including Apache Cassandra and various data lake systems.
  • Collaborate with cross-functional teams, including engineers, product managers and data scientists, to understand business requirements and translate them into effective system designs.
  • Support on-call rotations as needed to operate the team.

AWSBackend DevelopmentPythonSQLApache KafkaCassandraData engineeringNosqlRESTful APIs

Posted about 15 hours ago
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๐Ÿ“ Ireland, the Netherlands, the United Kingdom

๐Ÿ” Software Development

๐Ÿข Company: Reddit๐Ÿ‘ฅ 1001-5000๐Ÿ’ฐ $410,000,000 Series F over 3 years ago๐Ÿซ‚ Last layoff almost 2 years agoNewsContentSocial NetworkSocial Media

  • 7+ years of relevant experience as a software engineer involved in projects related with natural language processing and AI models integration in products.
  • Strong background in Python programming and some experience with deep learning frameworks like TensorFlow, PyTorch, or Hugging Face Transformers.
  • Expertise in distributed training frameworks (e.g., Ray Training, PyTorch Distributed), and efficient utilization of hardware resources.
  • Proficiency in data preprocessing, tokenization, embeddings, and language modeling techniques.
  • Passion for developing scalable, well-designed, and responsible AI solutions that positively impact society.
  • Excellent communication and collaboration skills, with the ability to discuss complex technical topics with diverse teams.
  • Entrepreneurial spirit, self-motivation, and a bias towards action in fast-paced environments.
  • Lead the design, development, and maintenance of the backend and data infrastructure for efficient, accurate, and optimized deployment of AI / ML based systems.
  • Architect and implement scalable AI / ML based solutions that can handle both the long term growth in the size of our data, and the scalability of the support in accessing it across a growing number of needs within the company
  • Collaborate with other teams and functions to work towards consolidating all insights about Redditโ€™s data to be powered by the same platform.
  • Oversee data storage, retrieval, indexing, and query optimization strategies to ensure fast and reliable access to our data. This may include migrating the data to the right datastore given the companyโ€™s growing needs
  • Collaborate with cross-functional teams to gather requirements, define system architectures and support system development.
  • Provide technical guidance and mentorship to engineers on the team, fostering a culture of learning and innovation.
  • Proactively identify technical challenges and propose innovative solutions that align with the team's goals.

AWSBackend DevelopmentPythonArtificial IntelligenceMachine LearningNLTKNumpyPyTorchSoftware ArchitectureAlgorithmsAPI testingData engineeringData scienceData StructuresREST APITensorflowRESTful APIsSoftware EngineeringData management

Posted about 16 hours ago
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๐Ÿ“ UK, Ireland, Netherlands

๐Ÿงญ Full-Time

๐Ÿ” Software Development

๐Ÿข Company: Reddit๐Ÿ‘ฅ 1001-5000๐Ÿ’ฐ $410,000,000 Series F over 3 years ago๐Ÿซ‚ Last layoff almost 2 years agoNewsContentSocial NetworkSocial Media

  • 2+ years of experience with industry-level deep learning models
  • 2+ years of experience with mainstream ML frameworks (such as Tensorflow and Pytorch)
  • 4+ years of end-to-end experience of training, evaluating, testing, and deploying industry-level models
  • 4+ years of experience of orchestrating complicated data generation pipelines on large-scale dataset
  • Successful track record of productionizing and applying machine learning techniques in addressing real-world problems end to end.
  • Comfort analyzing high-volume natural language and multimodal data from varying sources, proficient with SQL
  • Experience working with data-intensive systems and writing production-quality software (preferred Python or golang)
  • Collaborate on projects with other Top of Funnel engineers where youโ€™ll apply Machine Learning to solve discovery, relevance and recommendation problems.
  • Build and deploy sophisticated machine learning models to improve experiences for millions of users.
  • Participate in the full software development cycle: design, develop, QA, deploy, experiment, analyze and iterate.
  • Collaborate across disciplines and with other ML teams at Reddit to find technical solutions to complex challenges.
  • Be a mentor and cross-functional advocate for the team

PythonSQLData AnalysisMachine LearningPyTorchAlgorithmsData engineeringData StructuresTensorflowRESTful APIsData visualizationData modeling

Posted about 16 hours ago
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๐Ÿ“ United Kingdom

๐Ÿ” Software Development

  • Fluency in an object-oriented language (like Python or Java), SQL or NoSQL, Unix, developing within a Continuous Integration/Deployment pipeline.
  • Experienced in designing, building and maintaining large-scale distributed systems that back a consumer app or website.
  • In-depth experience building effective APIs (like REST or GraphQL).
  • Comfortable with performance analysis tools (e.g. tracers, profilers, debuggers, visualization tools).
  • Skilled at effectively gathering, aligning, and managing requirements across multiple teams.
  • Experience or an interest in developing infrastructure supporting data-intensive applications.
  • Build, extend, and support our backend platforms to collect all trusted business data.
  • Collaborate with other engineering groups, such as Search, Local Services, and Ads to build instant-access APIs and streaming solutions that make it easy for them to consume business data.
  • Partner with our database teams to select and optimize the appropriate storage solutions for our scalability needs.
  • Create tools and services that regularly monitor and ensure this data is of high quality.
  • Make build-or-buy decisions that help reach our business goals.

Backend DevelopmentGraphQLPythonSQLCloud ComputingAPI testingData engineeringPostgresREST APINosqlCI/CDRESTful APIsMicroservicesData modelingData management

Posted about 17 hours ago
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๐Ÿ“ UK, Ireland, Netherlands

๐Ÿงญ Full-Time

๐Ÿ” Software Development

  • 5+ years of industry experience in large-scale distributed systems.
  • 8+ years of hands-on, professional software development experience in one or more general purpose programming languages (Go, Python, Ruby, Java, C++)
  • Experienced with GraphQL, REST, HTTP, Thrift basics, and the ability to design and implement maintainable APIs
  • Experienced with distributed caching layers, and distributed large scale data storage systems like Cassandra.
  • A track record of developing and improving highly scalable and reliable serving systems
  • Experience mentoring engineers, owning team processes, and leading cross-functional projects is preferred.
  • Strong organizational skills, the ability to prioritize tasks and to deliver projects on schedule
  • Entrepreneurial spirit. You are self-directed, innovative, and biased towards action in fast-paced environments. You love to build new things and thrive in ambiguity and even failure
  • Excellent communication skills. You partner effectively with teams in a fully remote environment and discuss complex topics with technical and non-technical audiences
  • Lead key technical and design decisions across all areas mentioned above.
  • Work cross-functionally with product, design, and other engineering counterparts to execute on product and business strategy and build novel products and features that our users will love.
  • Contribute to the full development cycle: technical design, development, test, experimentation, analysis, and launch. Youโ€™ll be reviewing code and design docs, giving feedback on product specs and mocks.
  • Contribute meaningfully to team strategy. We give everyone a seat at the table and encourage active participation in planning for the future. Donโ€™t just come along for the ride.
  • Participate with a team of thoughtful, fast-moving, and motivated engineers. Contribute to standards that improve developer workflows, recommend best practices, and help mentor junior engineers on the team to grow their technical expertise.
  • Move fast while balancing quality. We canโ€™t afford extensive processes, and we also canโ€™t afford show-stopping bugs. We need someone who can balance speed with quality while quickly building brand-new products.

AWSBackend DevelopmentDockerGraphQLLeadershipPythonSoftware DevelopmentSQLJavaKafkaRubyC++API testingCassandraData engineeringGoCommunication SkillsSEOAgile methodologiesRESTful APIsMentoringMicroservices

Posted about 17 hours ago
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