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Snowflake
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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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🔥 Technical Program Manager II
Posted about 5 hours ago

📍 United States

💸 100937.0 - 207811.0 USD per year

🔍 Software Development

  • Proven track record of creating and implementing automation, reporting and/or metrics programs for a large organization.
  • B.S degree in a technical field or equivalent experience
  • Intermediate data visualization tools, with a strong preference for Tableau
  • Intermediate experience with creating and maintaining large Google Sheets, with a proven ability to easily compile and maintain multi-sheet workbooks.
  • Basic competency with SQL queries, with a preference for Snowflake experience.
  • Basic JAVA script or google app development experience, or a desire to quickly learn both.
  • Proven ability to identify and communicate analysis and insights from data sources.
  • High writing communication and presentation skills, with experience presenting complex data analysis to high level stakeholders
  • Basic knowledge of headcount management process including recruiting, people systems and financials.
  • Maintain, upgrade and communicate a suite of reports that tracks all Engineering and Product headcount.
  • Be the Subject Matter Expert for all headcount related requests.
  • Lead the program for delivering automation for all headcount reports and processes.
  • Be the POC for HR, Finance and Recruiting requests related to active headcount.
  • Maintain critical response time and high customer feedback scores.
  • Assist in building out advanced metrics for leadership forums and ongoing reporting.
  • Assist with building out advanced “proof of concept’ tools for the Org Insight team.
  • Assist in planning and budgeting programs.

Project ManagementSQLData AnalysisJavascriptSnowflakeHR ManagementTableauFinancial ManagementMicrosoft ExcelReportingData visualizationData modelingData management

Posted about 5 hours ago
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🔥 Operations Specialist (Remote
Posted about 6 hours ago

📍 US

🧭 Full-Time

💸 85000.0 - 105000.0 USD per year

🏢 Company: FURTHER

  • 4+ years of experience in business operations, preferably in a fast-paced, high-growth environment.
  • Experience configuring, administering, and optimizing operational systems to improve efficiency and scalability.
  • Strong analytical and problem-solving skills with a process-driven mindset focused on building scalable, repeatable workflows.
  • Proven ability to navigate ambiguity, identify areas for improvement, and independently drive solutions.
  • Experience working in a tech or startup environment, adapting to evolving priorities and undefined parameters.
  • Proficiency in data analysis and SQL, with the ability to leverage data for decision-making and operational improvements.
  • Experience with compliance frameworks (e.g., SOC 2).
  • Experience driving cross-functional initiatives from start to finish.
  • Familiarity with Metabase, Snowflake, or other data platforms
  • Administer and optimize key internal systems to improve operational workflows and data accuracy.
  • Build scalable processes within existing platforms (e.g., Jira Service Management) to support organizational growth.
  • Identify and implement automation opportunities to streamline manual processes.
  • Own the end-to-end onboarding process for new hires, ensuring a seamless experience from pre-hire setup to full integration.
  • Coordinate across teams to align onboarding logistics, system access, and compliance requirements.
  • Manage operational compliance requirements, including SOC 2, annual training, and audit processes in collaboration with leadership.
  • Maintain accurate documentation and tracking systems to ensure ongoing compliance.
  • Partner with internal teams to drive cross-functional operational projects, ensuring alignment across departments.
  • Support the implementation of new tools, systems, and workflows to enhance efficiency.

SQLData AnalysisSnowflakeJiraOperations ManagementBusiness OperationsMicrosoft ExcelComplianceData visualizationProcess improvementData analyticsData management

Posted about 6 hours ago
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🔥 Technical Implementation Program Manager [Finance]
Posted about 7 hours ago

📍 United States

🧭 Full-Time

💸 62400.0 - 78000.0 USD per year

🔍 SaaS

  • 3+ years of experience in technical implementation, solution engineering, or customer success management with a focus on SaaS or enterprise solutions.
  • Strong project management skills with experience in managing cross-functional teams and complex implementations.
  • Experience with data analytics and visualization tools (e.g, Looker, PowerBI, SQL, Snowflake)
  • Experience with APIs, integrations, and technical configurations for software solutions.
  • Ability to understand and communicate complex technical concepts to both technical and non-technical stakeholders.
  • Excellent troubleshooting and problem-solving abilities.
  • Exceptional communication and interpersonal skills.
  • Ability to work independently and manage multiple projects simultaneously.
  • Lead and manage the implementation of the solution for new customers, ensuring a smooth transition from sales to deployment.
  • Develop and manage project plans, timelines, and milestones for customer implementations. Track progress and ensure timely delivery of projects.
  • Partner with Customer Success Managers (CSMs), Product, Engineering, and Support teams to ensure all customer requirements are met, with proactive communication and coordination.
  • Provide expert technical advice and best practices to customers to guide them through integration and adoption. Understand customer environments and tailor implementations accordingly.
  • Address and resolve technical issues during implementation phases, collaborating with engineering and support teams when necessary.
  • Provide training to customers on best practices, product features, and technical workflows. Create and maintain technical documentation to ensure the customer can easily manage and operate the solution.
  • Ensure successful handoff to the customer success team post-implementation, providing any additional support as needed for long-term customer satisfaction.
  • Gather feedback from customers on their implementation experience and work with internal teams to continuously improve processes, tools, and resources for future implementations.

Project ManagementSQLData AnalysisSnowflakeProject CoordinationCross-functional Team LeadershipCommunication SkillsAnalytical SkillsCollaborationCI/CDAgile methodologiesRESTful APIsTroubleshootingData visualizationStakeholder managementTechnical supportSoftware EngineeringData analyticsCustomer supportCustomer SuccessSaaS

Posted about 7 hours ago
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🔥 Data Scientist / Engineer
Posted about 19 hours ago

📍 United States

🧭 Full-Time

🔍 Software Development

🏢 Company: Common Room

  • 2+ years of experience building data or/or ML-based models leveraging industry best practices.
  • Exceptional SQL skills and experience with large-scale data transformation.
  • Build data or/and ML-based models leveraging industry best practices.
  • Convert data insights into product improvements
  • Partner with customers to solve unique data challenges to optimize their workflows, and validate methodologies to develop pragmatic, scalable solutions for customers.
  • Identify and participate in important company-building initiatives.

AWSNode.jsPostgreSQLPythonSQLData AnalysisETLKafkaMachine LearningSnowflakeTypeScriptClickhouseData engineeringData scienceReactData modeling

Posted about 19 hours ago
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🔥 Solutions Architect, Data & AI - US-Based
Posted about 20 hours ago

📍 United States

🧭 Full-Time

🔍 AI/ML, Data

  • 12+ years of experience in AI/ML, data engineering, or cloud architecture, with at least 3+ years in AI/ML-focused solution architecture.
  • Strong background in AI/ML, including predictive modeling, NLP, deep learning, and Generative AI (e.g., large language models, fine-tuning, retrieval-augmented generation).
  • Expertise in designing AI/ML solutions in cloud environments (AWS, GCP, Azure).
  • Proficiency in AI/ML development frameworks and tools (TensorFlow, PyTorch, Hugging Face, LangChain, etc.).
  • Experience with big data technologies (Spark, Kafka, Snowflake, Databricks, etc.).
  • Strong understanding of MLOps best practices and model deployment strategies.
  • Track record of leading technical pre-sales efforts and architecting client solutions.
  • Ability to communicate complex AI/ML concepts to both technical and non-technical stakeholders. Passion for AI innovation and ability to drive thought leadership in the field.
  • Outstanding written and verbal communication skills.
  • Ability to work in a fast-paced, rapidly growing company and handle a wide variety of challenges, deadlines, and a diverse array of contacts.
  • Design and implement AI and data-driven solutions that drive business impact.
  • Collaborate with clients to assess requirements, define technical strategies, and develop solution roadmaps.
  • Serve as a subject matter expert in AI/ML, data engineering, and analytics, guiding internal teams and client stakeholders.
  • Leverage AI techniques, including Generative AI, NLP, and deep learning, to drive innovation in client solutions.
  • Design solutions that leverage cloud platforms (AWS, GCP, Azure) and modern data stack technologies.
  • Support sales teams by providing technical expertise, developing proposals, and presenting solutions to prospective clients.
  • Work cross-functionally with Toptal’s Sales, Marketing, and Talent Operations teams to align AI and data strategies with market demand.
  • Stay up-to-date with the latest AI/ML advancements and emerging technologies to enhance solution offerings.

AWSPythonSQLArtificial IntelligenceCloud ComputingGCPKafkaKubeflowMachine LearningPyTorchSnowflakeAzureData engineeringREST APISparkTensorflowData modelingData analytics

Posted about 20 hours ago
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🔥 Analytical Engineer
Posted about 20 hours ago

📍 Germany

🧭 Full-Time

🔍 Fintech

🏢 Company: Upvest👥 1-10💰 $667,439 almost 4 years agoReal Estate InvestmentFinancial ServicesOnline PortalsReal Estate

  • 4+ Years of Experience: Proven track record in building data warehouse products, designing code-based ETL processes, and delivering robust BI solutions with strong dimensional modeling skills within an analytical engineering context.
  • Proficient in SQL with a passion for writing efficient, optimized queries that form the backbone of scalable, maintainable analytical systems.
  • Demonstrated expertise with dbt (Core) for data modeling and transforming raw data into actionable, business-ready analytical layers.
  • Familiarity with modern cloud data warehouses (e.g., Snowflake, BigQuery) and BI tools (e.g., Looker, Tableau, PowerBI, Mixpanel) to deliver comprehensive analytical solutions.
  • Expertise in data quality management, including the design and implementation of robust monitoring frameworks to ensure data integrity and reliability.
  • Excellent communication skills with the ability to convey complex technical and business ideas clearly and simply, making data insights accessible to both technical and non-technical stakeholders.
  • Strong strategic approach to stakeholder management, ensuring that analytical engineering initiatives are aligned with overall business objectives.
  • Prior experience in a Fintech B2B environment is a significant plus.
  • Proficiency in SQL (we use Google Big Query) and a computing language such as Python
  • At least 3 years experience working with dbt (Data Build Tool)
  • Strong understanding of Git workflows and version control best practices
  • Familiarity with advanced programming concepts, such as metaprogramming (Looker Liquid, dbt Jinja), is a plus
  • Proficiency with the command line interface (Bash, ZSH, etc.) and ability to keep your IDE and tools in shape
  • Develop & Maintain Business Logic: Create and refine dbt models that transform raw data into well-organized, business-ready tables.
  • Ensure Quality & Governance: Implement comprehensive testing and maintain clear documentation for all data models.
  • Seamless Integration: Structure the datamart layer to support efficient connections with our BI tools (Looker).
  • Interface Between Teams: Serve as the liaison between the technical data pipelines and business-facing analytics.
  • Data Architecture & Quality Assurance: Within the central data team, you will architect and optimize our analytical infrastructure to ensure complete data consistency and integrity.
  • Cross-Functional Collaboration: Work closely with product managers, developers, and analysts as part of the central data team.
  • Data Strategy & Product Innovation: Drive our evolving data strategy by identifying opportunities to transform data into new revenue streams.

PythonSQLCloud ComputingData AnalysisGitSnowflakeAnalytical SkillsData modeling

Posted about 20 hours ago
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🔥 Software Engineer, Data Infrastructure
Posted 1 day ago

📍 United States

🧭 Full-Time

🔍 Software Development

🏢 Company: Anrok👥 51-100💰 $30,000,000 Series B 11 months agoSaaSSoftwareTax Preparation

  • Product-minded software engineer with 5+ years of experience
  • Experience talking to users and synthesizing needs
  • Deep understanding of data platforms and building for scale
  • Design, build, and scale systems that let customers reliably sync their Anrok financial data to their data warehouses (e.g. Snowflake, BigQuery), allowing them to reconcile invoicing, payment, and bank account data.
  • Interface directly with customers to ensure the formats and mechanisms are tailored to the domain, but still flexible enough to accommodate different accounting practices.
  • Increase the flexibility and scale of Anrok's internal data infrastructure, allowing us to more effectively leverage data in our decision making.

AWSBackend DevelopmentPostgreSQLPythonSQLCloud ComputingData AnalysisETLGitSnowflakeAlgorithmsData engineeringData StructuresREST APICI/CDMicroservicesData visualizationData modelingNodeJSSoftware EngineeringData analyticsData managementDebuggingCustomer Success

Posted 1 day ago
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🔥 Lead Partner Sales Engineer
Posted 1 day ago

📍 United States

🧭 Full-Time

💸 166372.19 - 207965.24 USD per year

🔍 Software Development

  • Deep understanding of GSI and Reseller pre-sales motions, including how solution architects, pre-sales technical specialists and technical teams participate in discovery workshops, opportunity qualification, proof-of-concepts, and technical validation sessions. This includes understanding how technology choices impact project economics and delivery timelines.
  • Experience with GSI and Reseller sales methodologies, particularly how they identify and qualify opportunities through both client-direct and vendor-partner channels and how they manage complex, multi-stakeholder, multi-vendor, multi-tech option sales cycles.
  • Knowledge of how GSIs and Resellers approach technical enablement and skills development, including their internal training programs and certification paths, and how they maintain technical excellence across delivery teams while managing utilization targets.
  • Cloud data platforms and data lakes: Snowflake, Databricks, Redshift, BigQuery, Synapse, S3, ADLS, OneLake, Hadoop - Hands-on experience with modern cloud data platforms and data lake architectures
  • Data workloads including data warehousing, data lakes, AI, ML, Gen AI, data applications, data engineering
  • Open table formats: Iceberg, Delta Lake, Hudi
  • Data movement technologies: Fivetran, HVR, Matillion, Airbyte, Informatica, Talend, Datastage, ADF, AWS Glue. Hands-on experience with traditional (or more modern) ETL/ELT solutions
  • Databases: Oracle, SQL Server, PostgreSQL, MySQL, MongoDB, CosmosDB, SAP HANA.
  • Applications: Salesforce, Google Analytics, ServiceNow, Hubspot, etc.
  • ERP solutions: SAP, Oracle, Workday, etc.
  • Data transformation solutions: dbt Core, dbt Cloud, Coalesce, Informatica
  • Gen AI: approaches, concepts, and the Gen AI technology ecosystem for hyperscalers, cloud data platforms, and solution-specific ISVs
  • REST APIs: Experience programmatically interacting with REST APIs
  • Data Infrastructure, Data Security, Data Governance and Application Development: strong understanding of technical architectures and approaches
  • Programming languages: Python, SQL
  • Create, develop, build, and take ownership of ongoing relationships with GSI and Reseller pre-sales technical team members, lead architects, and other technical recommenders to create multiple Fivetran technical evangelists and champions within each GSI and Reseller partner.
  • Interact daily with Fivetran’s top GSI and Reseller partners while tracking, measuring, and driving 3 primary KPIs - partners enabled, gtm activities supported, and technical content created.
  • Represent Fivetran as the partner technical liaison plus product, data and solution expert. Collaborate with the strategic GSI and Reseller Partner Sales Managers to enable new and existing GSI and Reseller partners to understand Fivetran's value, differentiation, messaging, and technical/business value.
  • Assist Fivetran Partner Sales Managers in communicating and demonstrating Fivetran’s value prop to existing and prospective partners to get them excited about partnering with Fivetran
  • Get hands-on with all aspects of Fivetran and the broader data ecosystem technologies listed above in building out live demos, hands-on labs, solution prototypes, and Fivetran/GSI/Reseller joint solutions.
  • Communicate customer requirements and competitor solutions. Provide a strong technical response to partner requests. Engage the customer SE team and communicate client requirements for individual client opportunities.

PostgreSQLPythonSQLBusiness IntelligenceCloud ComputingETLHadoopMongoDBMySQLOracleSalesforceSAPSnowflakeGoogle AnalyticsData engineeringAnalytical SkillsMentoringPresentation skillsExcellent communication skillsRelationship buildingStrong communication skills

Posted 1 day ago
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🔥 Account Executive, Enterprise
Posted 1 day ago

📍 United States

🧭 Full-Time

💸 144144.0 - 180180.0 USD per year

🔍 Software Development

  • 8+ years of large enterprise software sales experience and well-developed pattern recognition for navigating complex organizations.
  • Excellent written and verbal communication skills, with the ability to hold multiple stakeholders accountable throughout a complex value-driven sales cycle.
  • In-depth familiarity with the modern data technology industry and key players.
  • You are familiar with a solution-based approach to selling, have experience managing a complex sales process and possess excellent presentation and listening skills, organization and contact management capabilities.
  • You thrive in an extremely fast-paced, ever changing work environment. You’re able to keep up with a highly motivated team in a market that is growing extremely fast.
  • You are extremely organized. You are able to juggle lots of things at once while not letting anything drop.
  • You are a strategic thinker. You are able to see and communicate the big picture in an inspiring way.
  • You are a problem solver. You are resilient and creative, able to be resourceful to proactively seek out a solution to a problem.
  • You are enthusiastic! You exhibit passion and excitement for your work and you have a can-do attitude.
  • Collaborate cross-functionally with marketing, customer success, alliances, operations, and analytics to drive pipeline generation and exceed revenue goals.
  • Accelerate the growth & adoption of Fivetran in the Enterprise Market through value-driven sales cycles.
  • Lead in-depth discovery and demonstrate a deep interest in our Enterprise customers’ data challenges, identify required capabilities and positive business outcomes to drive towards valuable long term customer engagements.
  • Speak comfortably about Fivetran’s vision to a broad range of audiences from C-level executives to individual contributors.
  • Seek out and land deals with new Enterprise target accounts, then look to grow their footprint with Fivetran through new use cases, cross-sells and expansion.
  • Build strategic relationship with partners in order to identify new opportunities and accelerate deal cycles.
  • Forecast accurately and provide clear visibility on sales and revenue performance by actively managing and progressing opportunities.

Business IntelligenceETLSalesforceSnowflakeCross-functional Team LeadershipREST APICommunication SkillsCustomer servicePresentation skillsRelationship buildingAccount ManagementNegotiation skillsSales experienceMarket ResearchData visualizationLead GenerationStrategic thinkingCRMFinancial analysisData modelingData analyticsData managementCustomer SuccessSaaSBudget management

Posted 1 day ago
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