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Data engineering
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🔥 Engineering Manager, Integrations
Posted about 1 hour ago

📍 United States

🔍 AdTech

  • 5+ years of experience managing fast-moving, product-oriented engineering teams
  • 5+ years of experience with backend development and API design concepts
  • 5+ years of experience with NoSQL databases, SQL databases, distributed storage, and big data systems
  • A solid grasp of modern software development practices (CI/CD frameworks, Agile methodologies, etc.)
  • Exceptional people skills, including mentoring, scaling teams, and leading through uncertainty
  • Excellent communication skills for both technical and non-technical stakeholders
  • Proven ability to manage multiple stakeholders and priorities in a fast-paced environment
  • Build, optimize, and maintain the Integrations Platform, a robust, extensible integration architecture capable of supporting hundreds of data connectors - similar to frames seen in Zapier or Segment.
  • Hire, manage, and mentor a team of Data Engineers and Backend (Java/Kotlin) Engineers.
  • Work closely with leadership to identify, prioritize, and build high-impact features.
  • Own the processes on your team, ensuring the rapid and high-quality delivery of solutions to meet critical business needs.
  • Ensure smooth coordination of changes across technical and non-technical stakeholders, including internal Engineering and customer support teams
  • Regularly communicate and collaborate with senior leadership, including the CEO, to align on immediate priorities and technical directions.

Backend DevelopmentLeadershipProject ManagementSQLAgileJavaKotlinPeople ManagementCross-functional Team LeadershipAPI testingData engineeringREST APINosqlCommunication SkillsAnalytical SkillsCI/CDMentoringAdaptabilityJSONTeam managementStakeholder managementData modelingSoftware EngineeringData management

Posted about 1 hour ago
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🔥 Statistics Engineer
Posted about 2 hours ago

📍 United States

🧭 Full-Time

💸 220000.0 - 265000.0 USD per year

🔍 Software Development

🏢 Company: Eppo

  • 5+ years of experience utilizing this skillset in a data, SaaS, or similar technology company
  • Able to implement probabilistic techniques into a reusable statistical libraries, including bootstrapping, statistical tests, and ML models / regressions
  • Can build data engineering pipelines to gather the necessary data inputs (sufficient statistics) for statistical techniques
  • Can architect APIs that enable other engineers to incorporate statistical techniques in front-end interfaces
  • Implement probabilistic techniques into a reusable statistical libraries, including bootstrapping, statistical tests, and ML models / regressions
  • Build data engineering pipelines to gather the necessary data inputs (sufficient statistics) for statistical techniques
  • Architect APIs that enable other engineers to incorporate statistical techniques in front-end interfaces

PythonSQLData AnalysisData engineeringSoftware EngineeringA/B testing

Posted about 2 hours ago
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🔥 Senior/Staff Software Engineer - Backend
Posted about 2 hours ago

📍 United States, Europe

🧭 Full-Time

💸 180000.0 - 220000.0 USD per year

🔍 Software Development

🏢 Company: Eppo

  • Experience with OLAP SQL queries and processing
  • Expertise with software engineering practices like test coverage and CI/CD workflows
  • Experience with Nest.js (Typescript)
  • Building and maintaining backend APIs that power internal and external systems alike
  • Write backend software using Nest.js (Typescript) to power AirFlow tasks and our front-end API

Backend DevelopmentSoftware DevelopmentSQLApache AirflowCloud ComputingSnowflakeTypeScriptAPI testingData engineeringREST APINest.jsCI/CDData modelingNodeJSSoftware Engineering

Posted about 2 hours ago
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🔥 Senior Software Engineer, United Kingdom
Posted about 3 hours ago

📍 United Kingdom

🔍 Software Development

🏢 Company: KoBold Metals👥 101-250💰 $491,455,627 Series C 5 months agoArtificial Intelligence (AI)MineralMiningSoftware

  • 4+ years of software engineering experience, ideally building production cloud data systems
  • Proficiency with Python
  • Ability to write production-quality code that is correct, readable, well-tested, scalable and extensible
  • Skilled in large-scale system design
  • A track record of taking ownership from definition of the problem and delivering projects with demonstrated impact in an iterative manner
  • Intellectual curiosity and eagerness to learn about all aspects of mineral exploration, particularly in the geology domain. Enjoys constantly learning such that you are driving insights through using our tools in exploration and willing to work directly with geologists in the field.
  • Ability to explain technical problems to and collaborate on solutions with domain experts who are not software developers. A strong communicator who enjoys working with colleagues across the company.
  • Excitement about joining a fast-growing early-stage company, comfort with a dynamic work environment, and eagerness to take on an evolving range of responsibilities.
  • Deep engagement with exploration geologists and data scientists, continual learning about mineral exploration, and tailoring technology development to the needs of exploration project scientists
  • Building data pipelines and tooling for deriving advanced human and machine insights from exploration data, often leading a small group of software engineers to successful delivery
  • Developing expertise in KoBold’s Data Systems and deeply understanding how they impact exploration
  • End-to-end ownership of projects from design to implementation and testing to continued engagement with colleagues on exploration teams using your solutions
  • Responding well to design and code feedback, also providing feedback to teammates
  • Operationally managing the team’s services and assisting scientific colleagues with our tooling

AWSBackend DevelopmentPythonSQLCloud ComputingGitData engineeringREST APICI/CDLinuxData modelingSoftware EngineeringData management

Posted about 3 hours ago
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🔥 GTM Engineer
Posted about 5 hours ago

📍 India

🧭 Full-Time

🔍 Software Development

🏢 Company: Atlan

  • 5+ years in revenue operations, growth, or similar roles with a proven track record of scaling GTM motions and driving measurable business outcomes.
  • Strong foundation in modern GTM tools, APIs, data enrichment platforms etc.
  • Hands-on experience with modern GTM stack including CRMs, MAPs, enrichment tools, and AI platforms, with proven ability to integrate and optimize these tools for maximum impact.
  • Leverage AI to supercharge our GTM engine - from automating workflows to delivering magical customer experiences that accelerate our growth.
  • Become a champion for AI within the GTM team, exploring and evaluating new AI tools and techniques to enhance our GTM strategies and keep us at the forefront of innovation.
  • Design, build, and optimise automated workflows across our marketing, sales & customer success technology stacks, with a focus on integrating and leveraging cutting-edge AI-powered tools and platforms.
  • Build a culture of systematic experimentation - design scalable systems, implement testing frameworks, and continuously optimise our GTM motion through data-driven insights.
  • Drive cross-functional impact - collaborate with teams across marketing, sales, and customer success to understand challenges and build AI-powered solutions that scale

SQLArtificial IntelligenceData AnalysisMachine LearningAPI testingData engineeringRESTful APIsData visualizationCRMData modelingScriptingA/B testing

Posted about 5 hours ago
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🔥 Engineering Manager, Integrations
Posted about 5 hours ago

📍 United States

🧭 Full-Time

🔍 Software Development

🏢 Company: MNTN👥 251-500💰 $2,000,000 Seed about 2 years agoAdvertisingReal TimeMarketingSoftware

  • 5+ years of experience managing fast-moving, product-oriented engineering teams
  • 5+ years of experience with backend development and API design concepts
  • 5+ years of experience with NoSQL databases, SQL databases, distributed storage, and big data systems
  • A solid grasp of modern software development practices (CI/CD frameworks, Agile methodologies, etc.)
  • Exceptional people skills, including mentoring, scaling teams, and leading through uncertainty
  • Excellent communication skills for both technical and non-technical stakeholders
  • Proven ability to manage multiple stakeholders and priorities in a fast-paced environment
  • Build, optimize, and maintain the Integrations Platform, a robust, extensible integration architecture capable of supporting hundreds of data connectors - similar to frames seen in Zapier or Segment.
  • Hire, manage, and mentor a team of Data Engineers and Backend (Java/Kotlin) Engineers.
  • Work closely with leadership to identify, prioritize, and build high-impact features.
  • Own the processes on your team, ensuring the rapid and high-quality delivery of solutions to meet critical business needs.
  • Ensure smooth coordination of changes across technical and non-technical stakeholders, including internal Engineering and customer support teams
  • Regularly communicate and collaborate with senior leadership, including the CEO, to align on immediate priorities and technical directions.

Backend DevelopmentLeadershipSoftware DevelopmentSQLJavaKotlinPeople ManagementCross-functional Team LeadershipAPI testingData engineeringData StructuresREST APINosqlCommunication SkillsCI/CDAgile methodologiesMentoringTeam managementStakeholder management

Posted about 5 hours ago
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🔥 Google Cloud Architect
Posted about 5 hours ago

📍 Canada

🧭 Full-Time

🔍 AI & Data

🏢 Company: Datatonic

  • Bachelor’s or Master’s degree in Computer Science or a related technical discipline.
  • Hands-on experience in designing and implementing large-scale big data cloud architectures.
  • Demonstrated ability to manage projects from conception to completion, employing creative and practical solutions.
  • Strong analytical skills with a focus on innovation and technical excellence.
  • Exceptional verbal and written communication skills, with an eye for detail and the ability to deliver authoritative presentations and proposals.
  • Skills in developing and maintaining relationships with key external stakeholders at various organisational levels.
  • Extensive experience in technical pre-sales, with the ability to champion and promote innovative, disruptive proposals.
  • Comprehensive knowledge of end-to-end production-grade cloud technologies, covering areas such as data, security, and networking.
  • Proficiency in working with container technologies and leveraging them effectively in projects.
  • Multiple years of experience in programming languages such as Python, Java, and SQL, with a focus on building scalable, high-performance code.
  • Demonstrated experience in delivering scalable, robust, and high-performing solutions to meet business needs.
  • Google Cloud Architect certification.
  • Experience with ETL tools and/or batch/streaming data pipelines such as Dataflow, Pub/Sub.
  • Experience with Google Cloud technologies such as Cloud Run, Cloud Functions, Cloud Scheduler, Workflow and Cloud Composer
  • Experience with Google Cloud Governance technologies such as Cloud Logging, Cloud Monitoring, IAM, Key Management Service and Artifact Registry.
  • Utilise cutting-edge, scalable cloud and data processing technologies to develop advanced solutions for customers.
  • Contribute to the design and implementation of enterprise-scale Data and AI projects.
  • Introduce innovative ideas and approaches to enhance Datatonic’s capabilities and methodologies.
  • Collaborate with sales teams to provide technical expertise during client engagements and help scope solutions for challenging requirements.
  • Partner with GTM teams to create and refine new market-ready solutions with a focus on technical leadership and governance.
  • Conduct architecture reviews for key clients, delivering actionable recommendations to senior stakeholders.
  • Define and embed best practices into project delivery, ensuring quality and consistency across initiatives.
  • Contribute to Datatonic’s internal knowledge base, including technical collateral and thought leadership materials.
  • Work in a dynamic, agile environment alongside data scientists, machine learning experts, data analysts, and data engineers.
  • Collaborate closely with partners such as Google Cloud, Tableau, and Looker to leverage their technologies effectively.
  • Guide team members, fostering a culture of growth and innovation.

LeadershipProject ManagementPythonSQLAgileCloud ComputingData AnalysisETLGCPJavaKubernetesMachine LearningSoftware ArchitectureTableauData engineeringREST APICommunication SkillsAnalytical SkillsCollaborationProblem SolvingAgile methodologiesMentoringWritten communicationSales experienceData visualizationStakeholder managementData modeling

Posted about 5 hours ago
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🔥 Associate Data Engineer
Posted about 6 hours ago

📍 USA

🧭 Full-Time

🔍 Digital Media Agency

🏢 Company: Spring & Bond👥 11-50Digital MarketingAdvertisingDigital MediaConsulting

  • 1+ years of experience in a data engineering or related role.
  • Strong SQL skills, including the ability to write complex queries using JOINs and aggregate functions.
  • Proficiency in Python and data manipulation libraries such as Pandas.
  • Experience with data validation techniques and tools.
  • Familiarity with AWS cloud services, particularly S3 and Lambda.
  • Experience with Git for code version control.
  • Detail-oriented with a focus on data accuracy and quality.
  • Organized with a systematic approach to managing data workflows.
  • Comfortable working in an ambiguous environment and able to independently drive projects forward.
  • Nimble and able to adapt to changing priorities.
  • Design, develop, and maintain ETL pipelines to ingest and transform data from various sources.
  • Implement data validation processes to ensure data accuracy and consistency throughout the data lifecycle, using tools like Regex.
  • Write and optimize SQL queries for data extraction, aggregation, and analysis.
  • Develop and maintain Python scripts and Pandas dataframes for data manipulation and analysis.
  • Utilize AWS Lambda functions to automate data processing tasks.
  • Manage code using Git for version control and collaborative development.
  • Collaborate with data analysts, media strategists, and other stakeholders to understand their data requirements and provide solutions.
  • Communicate technical concepts to non-technical stakeholders and translate business needs into technical specifications.
  • Troubleshoot and resolve data-related issues, identifying areas for improvement and efficiency gains.
  • Document data processes, pipelines, and transformations for knowledge sharing and maintainability.
  • Work with vendors to ensure seamless data integration and resolve any data delivery issues.
  • Apply critical thinking skills to analyze complex data problems and develop innovative solutions.

AWSPythonSQLData AnalysisETLGitData engineeringPandas

Posted about 6 hours ago
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🔥 AI Strategist - Digital Velocity
Posted about 6 hours ago

📍 United States

💸 148000.0 - 205600.0 USD per year

🔍 Information Technology

  • Bachelor's degree and 7+ years of experience in deployment of private/public cloud solutions. Or, 11+ years of experience in deployment of private/public cloud solutions
  • Previous direct customer consulting experience or equivalent understanding of role responsibilities
  • Demonstrated high level understanding of M365 Copilot, Azure AI, Google AI platforms, AWS AI platforms, WatonsX, Github Copilot
  • Demonstrated high level understanding of the AI open source trends and emerging development paradigms including but not limited to Huggingface, OpenAI, Anthropic, Bard, Bing Chat, Meta, NVIDIA, Microsoft and IBM’s contribution to open source
  • Demonstrated knowledge of public cloud platforms, aware of multi-platform solutions and capabilities
  • High level understanding of AI application development, Large Language Modes (LLMs), Small Language Models, Data Governance, System Security
  • Understanding of prompt engineering best practices
  • High level understanding of AI offerings provide by platform providers such as Salesforce, ServiceNow, Adobe and other platforms is beneficial
  • Comprehensive understanding of agile development paradigms
  • Demonstrated ability to speak to business value of AI solutions
  • Excellent written and verbal communication skills, must be able to lead client facing conversations to drive success in consulting engagements
  • Demonstrate solid interpersonal skills, able to mentor and guide internal project teams and personnel technical development teams
  • Ability to understand, remember, and apply oral and/or written instructions or other information.
  • Ability to organize thoughts and ideas into understandable terminology.
  • Ability to multitask, organize and prioritize.
  • Ability to apply common sense while engaging with customers and providing solutions.
  • Ability to understand and follow complex instructions and guidelines.
  • Previous consulting experience a plus
  • Accurately design and scope AI professional services engagements.
  • Maintain deep expertise in their role; Is the "Go To" person for multi-disciplinary and multi-practice AI opportunities.
  • Communicates and trains the team on changes in technologies, procedures, solution implementations and approaches based on customer engagements.
  • Promotes a culture of knowledge sharing and collaboration by organizing knowledge bases, contributing regularly, and encouraging team members to contribute.
  • Coaches and mentors team members to improve their technical, consulting, and sales skills.
  • Acts as a resource to FSAs for advice and recommendations on technical design issues and product choices.
  • Serves in the customer escalation path for technical problem resolution.
  • Assist managers with AI aligned new hires, leads shadow assignments; proactively provides assistance and guidance to new hires to accelerate productivity.
  • Follows up on implemented solutions and identifies new opportunities that complement the work that was completed.
  • Advises team members and sales prior to customer calls and/or sales strategy sessions.
  • Articulates to customers the DV Practice (Digital Velocity) value proposition to customers, account managers, and partners and uses it to generate additional revenue opportunities to CDW.
  • Initiates new event ideas; collaborates with Partners and Sales to design events that can be replicated within the practice; secures funding to support CDW customer events.
  • Delivers presentations and conducts sales conversations with confidence and credibility to C-level clients, both in small meeting and large group formats.
  • Develops presentation content for the team.
  • Develops assessments, improvements, and demos for presales to use as sales tools, identifies new ideas for cross-sell opportunities, teaches presales and Sales on how to use these tools.
  • Collaborates with Partners, Inside Solution Architects (ISA), and Account Executives (AE) to drive mapped opportunities; fine tunes strategies and approaches to achieve greater sales results.
  • Operates in a regular cadence with multiple partners to educate, plan, and execute on joint strategies in collaboration with multiple stakeholders (ISA, AE, Sales Manager, Field Sales); understands partner alignment in geography and leads customer opportunity mapping exercises; coordinates on-site partner visits.
  • Shares best practices and effective territory planning approaches with peers to leverage successful approaches across the team.
  • Shares best practices and tactics for enhancing profitability and closing deals.
  • Acts as subject matter expert for marketing activities (e.g., marketing blog, content, references, videos, etc.); produces marketing-type documents and materials (e.g., data sheet, presentation, demo video) to use throughout the Practice.
  • Manages competing priorities and sets expectations with sales and other stakeholders through proactive communication, planning, and potential for return on investment.
  • Leads the development of Statements of Work, RFPs, RFIs, and proposal content for cross-technology solutions with high levels of accuracy and quality.
  • Maintains pre-sales pipeline data, develops plans, and takes actions to move opportunities to closure.
  • Reviews and monitors efforts and cadence to ensure compliance to scope / budget and communication of progress.

AWSProject ManagementPythonSQLAgileArtificial IntelligenceCloud ComputingData AnalysisGCPKubernetesMachine LearningSalesforceAPI testingAzureData engineeringPrometheusREST APICommunication SkillsCI/CDMentoringDevOpsTerraformPresentation skillsMicroservicesJSONData visualizationStrategic thinkingData modelingData management

Posted about 6 hours ago
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🔥 Principal Software Engineer - Product
Posted about 6 hours ago

📍 India

🧭 Full-Time

🔍 Software Development

🏢 Company: Atlan

  • 12+ years of experience in backend development with a focus on scalable and reliable solutions.
  • Demonstrated success in leading the design and deployment of enterprise-grade systems.
  • Deep expertise in Python, Kotlin, Kubernetes, and cloud platforms (AWS, Azure, or GCP).
  • Experience with workflow orchestration tools like Argo.
  • Exceptional mentoring skills and the ability to foster technical excellence in teams.
  • Proven capability to interact with customers and partners as a technical SME.
  • Strong understanding of SaaS products, metadata management, and scalable architecture design.
  • Full ownership around enterprise connectors, connector framework and feasibility.
  • Champion Engineering Excellence for this Business unit.
  • Lead the design and implementation of scalable architecture and framework for enterprise connectors.
  • Develop advanced solutions for metadata management, enhancing Atlan’s Metadata Marketplace.
  • Provide technical leadership and mentorship to engineering teams, promoting a culture of innovation and excellence.
  • Own and deliver on the major business outcomes for the business unit.
  • Serve as a technical thought leader for customer onboarding, ensuring a smooth and reliable adoption process.
  • Oversee the deployment and operational excellence of solutions on the Atlan platform.
  • Spearhead innovation in connector development and drive developer productivity improvements.

AWSBackend DevelopmentLeadershipPythonSQLCloud ComputingKotlinKubernetesSoftware ArchitectureData engineeringCommunication SkillsAnalytical SkillsRESTful APIsMentoringMicroservicesData modelingSoftware EngineeringData analyticsData managementSaaS

Posted about 6 hours ago
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