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πŸ“ United States

🧭 Full-Time

πŸ’Έ 198050.0 - 233000.0 USD per year

πŸ” Health Tech

  • 3+ years of experience as an Engineering Manager
  • 3-5+ years of experience as a Software Engineer
  • Track record of building and leading high performing teams that have effectively delivered business outcomes through technical investments
  • Strong technical foundation
  • Strong product mindset
  • Track record of working well across teams and functions
  • Prior experience with Python and React (Nice to have)
  • Experience working with AWS infrastructure (Nice to have)
  • Experience in health tech, building user-facing products (Nice to have)
  • BS, MS in Computer Science or related field
  • Lead and manage a team (or teams) of 8+ engineers
  • Ensure there is process and product alignment across your team
  • Develop and grow your team through weekly 1-1s, mentorship, and feedback
  • Work with and help develop aspiring engineering leaders within the engineering team
  • Contribute to the broader company strategy and product roadmap
  • Help build out our engineering team as the headcount grows from 80 to 120+ through the remainder of the year

AWSBackend DevelopmentDockerLeadershipPostgreSQLProject ManagementPythonCloud ComputingData AnalysisKafkaPeople ManagementProduct ManagementReact.jsTypeScriptCross-functional Team LeadershipAlgorithmsData StructuresFastAPIREST APIRedisStrategic ManagementReactSparkCommunication SkillsAnalytical SkillsCI/CDProblem SolvingAgile methodologiesMentoringRelationship buildingTeam managementSoftware EngineeringDebugging

Posted about 4 hours ago
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πŸ“ Germany

πŸ” AI and data analytics consulting

🏒 Company: Unit8 SA

  • MSc level in the field of Computer Science, Machine Learning, Applied Statistics, Mathematics, or equivalent work experience.
  • Proficient software engineer who has experience in applying a blend of software engineering, machine learning, and statistical methods to solve real-world business problems
  • Proficient in one of the following languages: Python, Scala, Java.
  • Experience with cloud technologies is a strong plus.
  • Work with our customers to understand their challenges, design and implement solutions.
  • Closely collaborate with other data scientists, software engineers and business stakeholders.
  • Evaluate, compare and present results to technical and non-technical audience.
  • Contribute to the implementation and engineering of systems at different scales: from small proof-of-concepts to larger end-to-end data systems.
  • Implement best practices in CI/CD

AWSDockerPythonSQLCloud ComputingData AnalysisETLJavaKubernetesMachine LearningAlgorithmsData engineeringData scienceSparkCI/CDRESTful APIsScalaSoftware Engineering

Posted about 7 hours ago
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πŸ“ United States

🧭 Full-Time

πŸ’Έ 185000.0 - 220000.0 USD per year

πŸ” Software Development

🏒 Company: WellSaid

  • 5+ years of experience managing a software engineering team and a proven track record.
  • 2+ years of experience using Cloud platforms (GCP, AWS, etc),
  • Background in Machine learning frameworks (such as PyTorch), and data processing tools (Spark, Pandas, etc.) are a big bonus but not mandatory.
  • You are proficient in software development practices, including specing, documenting, testing, reviewing, deploying, and monitoring, and are passionate about writing clean, defensible code.
  • Excellent communication and collaboration skills to work effectively with cross-functional teams, including software engineers, data engineers, product managers, execs, and other stakeholders.
  • You are flexible and capable of working with a diverse team with various communication styles and needs. You are empathic and supportive.
  • You create equitable processes across the entire employee lifecycle. You are particularly mindful of addressing the needs of marginalized people.
  • Experience in text-to-speech, speech-to-text, audio libraries, or cloud storage is a bonus.
  • Build and lead a high-performing and collaborative machine learning team, fostering an environment of innovation, growth, and accountability.
  • Collaborate with Product Management and other stakeholders to define, prioritize, and deliver the ML roadmap, aligning it with business goals and technical feasibility.
  • Ensure that complex projects are effectively scoped, planned, executed, and delivered on time while meeting cross-team quality standards.
  • Oversee multiple concurrent machine learning projects simultaneously, facilitating planning, and generally ensuring that deliverables are met on time.
  • Own and run team standups, sprint planning, and other delivery ceremonies.
  • Work one-on-one with team members to meet their needs, providing regular and constructive feedback. You’ll show concern and success for the well-being of others and do what you can to support people.
  • Conduct design, code and pull request reviews with the team.
  • Champion best practices in machine learning and software engineering including testing, documentation, readability, defensibility, etc.
  • Manage team resources effectively by prioritizing projects based on impact while balancing budget constraints for infrastructure (e.g., compute resources) or tooling needs.
  • Foster customer empathy within the team by introducing real-world use cases, facilitating discussions on customer pain points, reviewing feedback loops, and ensuring alignment with user needs.
  • All together you’ll foster an inclusive team culture and working environment.

AWSLeadershipProject ManagementPythonSoftware DevelopmentSQLAgileCloud ComputingData AnalysisGCPGitMachine LearningPeople ManagementProduct ManagementPyTorchSCRUMSoftware ArchitectureAlgorithmsData engineeringData StructuresPandasSparkCommunication SkillsCI/CDRESTful APIsMentoringTeam managementData modelingDebugging

Posted about 15 hours ago
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πŸ“ India

πŸ” Market Research and Analytics

  • 5+ years of proven experience in web application development or application support, particularly in systems with high uptime requirements.
  • Strong ability to troubleshoot issues with web/http traffic, python applications, and JS applications.
  • Proficient in Python, Docker, AWS, REST APIs, and database technologies.
  • Diagnose and resolve technical issues in data applications and platform services, including web application performance, optimizing SQL, Pandas, and PySpark queries, and interacting with REST APIs.
  • Work cross-functionally with data analyst teams and platform engineers to coordinate releases, onboard users, and maintain the uptime of critical Plotly Dash applications.
  • Identify and implement process improvements to streamline support workflows, reduce repetitive tasks, and improve application and data platform efficiency.
  • Promote and enforce application best practices, data software management, and cloud infrastructure to enhance system reliability and reduce technical debt.

AWSDockerPythonSQLGitAPI testingREST APIPandasSparkCI/CDRESTful APIsLinuxTroubleshootingData modelingScriptingData analyticsDebugging

Posted about 16 hours ago
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πŸ“ United States

🧭 Full-Time

πŸ’Έ 200000.0 - 275000.0 USD per year

πŸ” Software Development

  • 6+ years of experience designing, developing and launching backend systems at scale using languages like Python or Kotlin.
  • Extensive track record of developing highly available distributed systems using technologies like AWS, MySQL, Spark and Kubernetes.
  • Experience delivering major features, system components or deprecating existing functionality in a system through the definition of a technical and execution plan.
  • Write high quality code that is easily understood and used by others.
  • Thrive in ambiguity, and are comfortable moving from low level language idioms all the way to the architecture of large systems to understand how they work.
  • Growth and impact trajectory demonstrates that you have mastered gathering and iterating on feedback from your engineering and cross-functional peers.
  • Strong verbal and written communication skills that support effective collaboration with our global engineering team.
  • Set technical strategy for your team on a year-long time scale, and help your team tie it together with critical, business-impacting projects.
  • Collaborate across teams in the product development lifecycle by collaborating with product management, design & analytics to ensure technical sustainability, risks and trade-offs are well understood and managed.
  • Act as a force-multiplier for your team through your definition and advocacy of technical solutions and operational processes.
  • Mentor less experienced engineers, leading by example, and setting the technical bar high.
  • Take ownership of your team’s operations and availability by ensuring you have the right monitoring, triage rotations, playbooks, policies, testing and alerting in place to support β€œkeep the lights on” & on-call efforts.
  • Foster a culture of quality and ownership on your team by setting code review and design standards for your team, and advocating for them beyond your team through your writing and tech talks.
  • Help develop talent on your team by providing feedback and guidance, and leading by example.

AWSBackend DevelopmentLeadershipProject ManagementPythonSoftware DevelopmentSQLData AnalysisKotlinKubernetesMySQLAlgorithmsData StructuresREST APISparkCommunication SkillsAnalytical SkillsCollaborationCI/CDProblem SolvingMentoringDevOpsWritten communicationMicroservices

Posted about 16 hours ago
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πŸ“ United States

🧭 Full-Time

πŸ’Έ 232000.0 - 310000.0 USD per year

πŸ” Software Development

  • 10+ years of experience designing, developing and launching backend systems at scale using languages like Python or Kotlin.
  • Strong experience leading multiple engineering teams to deliver high quality software
  • Track record of successfully leading engineering teams at both rapidly scaling startups and complex larger technology companies.
  • Expertise in synthesizing complex technical requirements, designs, trade-offs, and capabilities into clear decisions to influence ML & engineering direction
  • Extensive experience developing highly available distributed systems using technologies like AWS, MySQL, Spark and Kubernetes.
  • Experience building and operating online, real-time ML infrastructure including a model server and a feature store
  • Experience developing an offline environment for large scale data analysis and model training using technologies including Spark, Kubeflow, Ray, and Airflow
  • Experience delivering major features and system components
  • Set the multi-year, multi-team technical strategy for ML Platform and deliver it through direct implementation or broad technical leadership
  • Partner with technical leaders across the company to create joint roadmaps that will achieve business impacting goals through the advancement of machine learning
  • Act as a force-multiplier for your teams through your definition and advocacy of technical solutions and operational processes
  • You have an ownership mindset, and you will proactively champion investments in availability so that every project in your area achieves its availability targets
  • You will foster a culture of quality and ownership on your team by setting system design standards for your team, and advocating for them beyond your team through your writing and tech talks
  • You will help develop talent on your team by providing feedback and guidance, and leading by example

AWSBackend DevelopmentLeadershipProject ManagementPythonApache AirflowData AnalysisKotlinKubeflowKubernetesMachine LearningMySQLSoftware ArchitectureCross-functional Team LeadershipData engineeringSparkCommunication SkillsRESTful APIsDevOps

Posted about 16 hours ago
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πŸ”₯ Data Engineer
Posted about 16 hours ago

πŸ“ United States

🧭 Full-Time

πŸ” Sustainable Agriculture

🏒 Company: Agrovision

  • Experience with RDBMS (e.g., Teradata, MS SQL Server, Oracle) in production environments is preferred
  • Hands-on experience in data engineering and databases/data warehouses
  • Familiarity with Big Data platforms (e.g., Hadoop, Spark, Hive, HBase, Map/Reduce)
  • Expert level understanding of Python (e.g., Pandas)
  • Proficient in shell scripting (e.g., Bash) and Python data application development (or similar)
  • Excellent collaboration and communication skills with teams
  • Strong analytical and problem-solving skills, essential for tackling complex challenges
  • Experience working with BI teams and tooling (e.g. PowerBI), supporting analytics work and interfacing with Data Scientists
  • Collaborate with data scientists to ensure high-quality, accessible data for analytical and predictive modeling
  • Design and implement data pipelines (ETL’s) tailored to meet business needs and digital/analytics solutions
  • Enhance data integrity, security, quality, and automation, addressing system gaps proactively
  • Support pipeline maintenance, troubleshoot issues, and optimize performance
  • Lead and contribute to defining detailed scalable data models for our global operations
  • Ensure data security standards are met and upheld by contributors, partners and regional teams through programmatic solutions and tooling

PythonSQLApache HadoopBashETLData engineeringData scienceRDBMSPandasSparkCommunication SkillsAnalytical SkillsCollaborationProblem SolvingData modeling

Posted about 16 hours ago
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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 1 day ago
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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 1 day 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 1 day ago
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