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πŸ”₯ Senior Data Engineer
Posted about 9 hours ago

πŸ“ United States

πŸ’Έ 144000.0 - 180000.0 USD per year

πŸ” Software Development

🏒 Company: HungryrootπŸ‘₯ 101-250πŸ’° $40,000,000 Series C almost 4 years agoArtificial Intelligence (AI)Food and BeverageE-CommerceRetailConsumer GoodsSoftware

  • 5+ years of experience in ETL development and data modeling
  • 5+ years of experience in both Scala and Python
  • 5+ years of experience in Spark
  • Excellent problem-solving skills and the ability to translate business problems into practical solutions
  • 2+ years of experience working with the Databricks Platform
  • Develop pipelines in Spark (Python + Scala) in the Databricks Platform
  • Build cross-functional working relationships with business partners in Food Analytics, Operations, Marketing, and Web/App Development teams to power pipeline development for the business
  • Ensure system reliability and performance
  • Deploy and maintain data pipelines in production
  • Set an example of code quality, data quality, and best practices
  • Work with Analysts and Data Engineers to enable high quality self-service analytics for all of Hungryroot
  • Investigate datasets to answer business questions, ensuring data quality and business assumptions are understood before deploying a pipeline

AWSPythonSQLApache AirflowData MiningETLSnowflakeAlgorithmsAmazon Web ServicesData engineeringData StructuresSparkCI/CDRESTful APIsMicroservicesJSONScalaData visualizationData modelingData analyticsData management

Posted about 9 hours ago
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πŸ”₯ Solutions Architect
Posted about 9 hours ago

πŸ“ United States, Latin America, India

πŸ” Software Development

  • 8+ years as a hands-on Solutions Architect and/or Data Engineer
  • Programming expertise in Java, Python and/or Scala
  • Core cloud data platforms including Snowflake, AWS, Azure, Databricks and GCP
  • SQL and the ability to write, debug, and optimize SQL queries
  • 4-year Bachelor's degree in Computer Science or a related field
  • Production experience in core data platforms: Snowflake, AWS, Azure, GCP, Hadoop, Databricks
  • Design and implement data solutions
  • Lead and/or mentor other engineers
  • Develop end-to-end technical solutions into production β€” and to help ensure performance, security, scalability, and robust data integration
  • Programming expertise in Java, Python and/or Scala
  • Client-facing written and verbal communication skills and experience
  • Create and deliver detailed presentations
  • Detailed solution documentation (e.g. including POCS and roadmaps, sequence diagrams, class hierarchies, logical system views, etc.)

AWSLeadershipPythonSQLCloud ComputingETLGCPJavaSnowflakeAzureData engineeringREST APISparkPresentation skillsDocumentationClient relationship managementScalaData visualizationMentorshipData modeling

Posted about 9 hours ago
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πŸ“ United States

πŸ’Έ 135000.0 - 155000.0 USD per year

πŸ” Software Development

🏒 Company: JobgetherπŸ‘₯ 11-50πŸ’° $1,493,585 Seed about 2 years agoInternet

  • 8+ years of experience as a data engineer, with a strong background in data lake systems and cloud technologies.
  • 4+ years of hands-on experience with AWS technologies, including S3, Redshift, EMR, Kafka, and Spark.
  • Proficient in Python or Node.js for developing data pipelines and creating ETLs.
  • Strong experience with data integration and frameworks like Informatica and Python/Scala.
  • Expertise in creating and managing AWS services (EC2, S3, Lambda, etc.) in a production environment.
  • Solid understanding of Agile methodologies and software development practices.
  • Strong analytical and communication skills, with the ability to influence both IT and business teams.
  • Design and develop scalable data pipelines that integrate enterprise systems and third-party data sources.
  • Build and maintain data infrastructure to ensure speed, accuracy, and uptime.
  • Collaborate with data science teams to build feature engineering pipelines and support machine learning initiatives.
  • Work with AWS cloud technologies like S3, Redshift, and Spark to create a world-class data mesh environment.
  • Ensure proper data governance and implement data quality checks and lineage at every stage of the pipeline.
  • Develop and maintain ETL processes using AWS Glue, Lambda, and other AWS services.
  • Integrate third-party data sources and APIs into the data ecosystem.

AWSNode.jsPythonSQLETLKafkaData engineeringSparkAgile methodologiesScalaData modelingData management

Posted about 11 hours ago
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πŸ“ United States, Latin America, India

πŸ” Software Development

  • At least 6 years experience as a Machine Learning Engineer, Software Engineer, or Data Engineer
  • 4-year Bachelor's degree in Computer Science or a related field
  • Experience deploying machine learning models in a production setting
  • Expertise in Python, Scala, Java, or another modern programming language
  • The ability to build and operate robust data pipelines using a variety of data sources, programming languages, and toolsets
  • Strong working knowledge of SQL and the ability to write, debug, and optimize distributed SQL queries
  • Hands-on experience in one or more big data ecosystem products/languages such as Spark, Snowflake, Databricks, etc.
  • Familiarity with multiple data sources (e.g. JMS, Kafka, RDBMS, DWH, MySQL, Oracle, SAP)
  • Systems-level knowledge in network/cloud architecture, operating systems (e.g., Linux), and storage systems (e.g., AWS, Databricks, Cloudera)
  • Production experience in core data technologies (e.g. Spark, HDFS, Snowflake, Databricks, Redshift, & Amazon EMR)
  • Development of APIs and web server applications (e.g. Flask, Django, Spring)
  • Complete software development lifecycle experience, including design, documentation, implementation, testing, and deployment
  • Excellent communication and presentation skills; previous experience working with internal or external customers
  • Design and create environments for data scientists to build models and manipulate data
  • Work within customer systems to extract data and place it within an analytical environment
  • Learn and understand customer technology environments and systems
  • Define the deployment approach and infrastructure for models and be responsible for ensuring that businesses can use the models we develop
  • Demonstrate the business value of data by working with data scientists to manipulate and transform data into actionable insights
  • Reveal the true value of data by working with data scientists to manipulate and transform data into appropriate formats in order to deploy actionable machine learning models
  • Partner with data scientists to ensure solution deployabilityβ€”at scale, in harmony with existing business systems and pipelines, and such that the solution can be maintained throughout its life cycle
  • Create operational testing strategies, validate and test the model in QA, and implementation, testing, and deployment
  • Ensure the quality of the delivered product

AWSDockerPythonSoftware DevelopmentSQLCloud ComputingData AnalysisETLHadoopJavaKerasKubernetesMachine LearningMLFlowSnowflakeSoftware ArchitectureAlgorithmsAPI testingData engineeringData scienceREST APISparkTensorflowCommunication SkillsAnalytical SkillsCI/CDLinuxDevOpsPresentation skillsExcellent communication skillsScalaData modelingDebugging

Posted about 14 hours ago
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πŸ“ United States, Latin America, India

πŸ” Software Development

  • At least 4+ years experience as a Software Engineer, Data Engineer or Data Analyst
  • Programming expertise in Java, Python and/or Scala
  • Core cloud data platforms including Snowflake, AWS, Azure, Databricks and GCP
  • SQL and the ability to write, debug, and optimize SQL queries
  • Client-facing written and verbal communication skills and experience
  • 4-year Bachelor's degree in Computer Science or a related field
  • Develop end-to-end technical solutions into production β€” and to help ensure performance, security, scalability, and robust data integration.
  • Create and deliver detailed presentations
  • Detailed solution documentation (e.g. including POCS and roadmaps, sequence diagrams, class hierarchies, logical system views, etc.)

AWSPythonSQLCloud ComputingData AnalysisETLGCPJavaKafkaSnowflakeAirflowAzureData engineeringSparkCommunication SkillsScalaData modelingSoftware Engineering

Posted about 15 hours ago
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πŸ“ United Kingdom

πŸ” Software Development

  • Demonstrated industry experience.
  • Great understanding of and interest in well-designed APIs.
  • Relevant experience in at least one server-side programming language (Java, Python, Scala).
  • You’re excited about the challenges of scalability, reliability, and performance.
  • Willing to delve into infrastructure to unlock more performant solutions.
  • Build platforms to increase the development velocity of new product features.
  • Iterate quickly using Continuous Integration / Continuous Deployment principles.
  • Articulate a technical vision and execute it.
  • Give back by mentoring other engineers and sharing the skills you learn.
  • Collaborate with team members and engineers across the company to design elegant systems.

AWSBackend DevelopmentPythonSoftware DevelopmentSQLCloud ComputingDesign PatternsJavaAlgorithmsAPI testingData StructuresCI/CDRESTful APIsMicroservicesScala

Posted 1 day ago
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πŸ“ United Kingdom

πŸ” Software Development

  • Demonstrated industry experience.
  • Great understanding of and interest in well-designed APIs.
  • Relevant experience in at least one server-side programming language (Java, Python, Scala).
  • You’re excited about the challenges of scalability, reliability, and performance.Willing to delve into infrastructure to unlock more performant solutions.
  • Build platforms to increase the development velocity of new product features.
  • Iterate quickly using Continuous Integration / Continuous Deployment principles.
  • Articulate a technical vision and execute it.
  • Give back by mentoring other engineers and sharing the skills you learn.
  • Collaborate with team members and engineers across the company to design elegant systems.

Backend DevelopmentDockerPythonSoftware DevelopmentSQLAgileCloud ComputingJavaAPI testingCI/CDRESTful APIsScala

Posted 1 day ago
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πŸ“ SΓ£o Paulo, Rio Grande do Sul, Rio de Janeiro, Belo Horizonte

πŸ” Data field

🏒 Company: TELUS Digital Brazil

  • 3+ years in the Data field
  • Experience in the construction and optimization of data pipelines, architectures, and 'big data' datasets
  • Proficiency with Apache Spark with a general-purpose programming language such as Python or Scala
  • Ability to create processes supporting data transformation, data structures, metadata, dependency, and workload management
  • Experience with big data tools: Hadoop, Spark, Kafka, etc.
  • Experience with relational SQL databases
  • Experience with data pipeline and workflow management tools
  • Be responsible for expanding and optimizing our data and data pipeline architecture, as well as optimizing data flow and collection for cross functional teams;
  • Create and maintain optimal data pipeline architecture;
  • Assemble large, complex data sets that meet business requirements;
  • Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc;
  • Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources.
  • Work with data and analytics experts to strive for greater functionality in our data systems.

AWSPythonSQLCloud ComputingETLGCPHadoopKafkaAirflowAzureData engineeringScala

Posted 4 days ago
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πŸ“ Germany, Italy, Netherlands, Portugal, Romania, Spain, UK

🧭 Full-Time

πŸ” Software Development

  • You're a backend engineer with experience building scalable and high-performing web applications
  • You're proficient in one or more programming languages, such as Go, Java, Kotlin, Scala, or Python, with familiarity in Golang being a valuable plus
  • You have experience developing modern web applications and working with cloud-based architectures
  • You have a solid understanding of developing RESTful web services, collaborating with front-end teams to define APIs, create mocks, and follow HTTP best practices
  • You apply computer science fundamentals, including data structures, algorithms, problem-solving, and complexity analysis, to your daily work
  • You have hands-on experience working with SQL/NoSQL databases like PostgreSQL, MySQL, or DynamoDB and understand their common use cases
  • You communicate effectively and collaborate well in a team, even in a distributed environment
  • You have professional working proficiency in English and can articulate ideas clearly in technical discussions
  • You have a computer science bachelor’s degree or equivalent professional experience
  • Develop, deliver, test, deploy, maintain and improve solutions working with a cross-functional team
  • Write maintainable code and tests
  • Take part in incident resolution and troubleshooting in the production environment, as well as in writing useful and critical post-mortems
  • Support existing systems looking to enhance functionality, increase scale, and transform in new ways to meet our product demands
  • Work in a collaborative and agile environment that prioritizes people over process and is laser-focused on productivity
  • Live the mission: inspire and empower others by genuinely caring for your wellbeing and your colleagues. Bring wellbeing to the forefront of work, and create a supportive environment where everyone feels comfortable taking care of themselves, taking time off, and finding work-life balance.

Backend DevelopmentPostgreSQLPythonSoftware DevelopmentSQLCloud ComputingJavaKotlinAlgorithmsAPI testingData StructuresGoREST APIProblem SolvingRESTful APIsMicroservicesScalaComputer skillsSoftware EngineeringEnglish communication

Posted 5 days ago
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πŸ“ Canada

πŸ’Έ 98400.0 - 137800.0 CAD per year

πŸ” Data Technology

🏒 Company: HootsuiteπŸ‘₯ 1001-5000πŸ’° $50,000,000 Debt Financing almost 7 years agoπŸ«‚ Last layoff about 2 years agoDigital MarketingSocial Media MarketingSocial Media ManagementApps

  • A degree in Computer Science or Engineering, and senior-level experience in developing and maintaining software or an equivalent level of education or work experience, and a track record of substantial contributions to software projects with high business impact.
  • Experience planning and leading a team using Scrum agile methodology ensuring timely delivery and continuous improvement.
  • Experience liaising with various business stakeholders to understand their data requirements and convey the technical solutions.
  • Experience with data warehousing and data modeling best practices.
  • Passionate interest in data engineering and infrastructure; ingestion, storage and compute in relational, NoSQL, and serverless architectures
  • Experience developing data pipelines and integrations for high volume, velocity and variety of data.
  • Experience writing clean code that performs well at scale; ideally experienced with languages like Python, Scala, SQL and shell script.
  • Experience with various types of data stores, query engines and data frameworks, e.g. PostgreSQL, MySQL, S3, Redshift, Presto/Athena, Spark and dbt.
  • Experience working with message queues such as Kafka and Kinesis
  • Experience with ETL and pipeline orchestration such as Airflow, AWS Glue
  • Experience with JIRA in managing sprints and roadmaps
  • Lead development and maintenance of scalable and efficient data pipeline architecture
  • Work within cross-functional teams, including Data Science, Analytics, Software Development, and business units, to deliver data products and services.
  • Collaborate with business stakeholders and translate requirements into scalable data solutions.
  • Monitor and communicate project statuses while mitigating risk and resolving issues.
  • Work closely with the Senior Manager to align team priorities with business objectives.
  • Assess and prioritize the team's work, appropriately delegating to others and encouraging team ownership.
  • Proactively share information, actively solicit feedback, and facilitate communication, within teams and other departments.
  • Design, write, test, and deploy high quality scalable code.
  • Maintain high standards of security, reliability, scalability, performance, and quality in all delivered projects.
  • Contribute to shape our technical roadmap as we scale our services and build our next generation data platform.
  • Build, support and lead a high performance, cohesive team of developers, in close partnership with the Senior Manager, Data Analytics.
  • Participate in the hiring process, with an aim of attracting and hiring the best developers.
  • Facilitate ongoing development conversations with your team to support their learning and career growth.

AWSLeadershipPostgreSQLPythonSoftware DevelopmentSQLAgileApache AirflowETLMySQLSCRUMCross-functional Team LeadershipAlgorithmsApache KafkaData engineeringData StructuresSparkCommunication SkillsAnalytical SkillsCI/CDProblem SolvingMentoringDevOpsWritten communicationCoachingScalaData visualizationTeam managementData modelingData analyticsData management

Posted 5 days ago
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