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📍 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 about 6 hours ago
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🔥 Lead Partner Sales Engineer
Posted about 7 hours 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 about 7 hours ago
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🔥 Account Executive, Enterprise
Posted about 8 hours 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 about 8 hours ago
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🔥 Sr Performance Data Analyst
Posted about 9 hours ago

📍 Canada

🔍 Software Development

🏢 Company: external

  • 8+ years of experience in product performance analytics, data analysis, data visualization and reporting.
  • Excellent analytical and critical thinking skills.
  • Hands-on individual contributor who can read and write SQL and Python.
  • Experience with a big data environment such as Databricks and/or Snowflake.
  • Work with cross-functional teams to understand requirements for product performance monitoring and reporting.
  • Design product performance metrics.
  • Conduct performance analysis.
  • Analyze performance data to identify trends, patterns, and insights.
  • Conduct funnel analytics.
  • Build automated product performance analytics dashboards and reports.
  • Collaborate with cross-functional teams to identify potential performance issues.
  • Maintain the performance dashboards and reports, and make updates as needed.
  • Identify new data, metrics, and granularity needs.
  • Engage with Data Quality Analysts, Business and Technical Data Stewards.
  • Provide recommendations to senior management on performance improvement strategies and initiatives.
  • Stay up-to-date with industry trends and best practices in performance analysis and monitoring.

PythonSQLBusiness AnalysisData AnalysisSnowflakeREST APIReportingData visualizationData modelingData analyticsData management

Posted about 9 hours ago
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📍 United States

💸 64000.0 - 120000.0 USD per year

  • Strong PL/SQL, SQL development skills
  • Proficient in multiple languages used in data engineering such as Python, Java
  • Minimum 3-5 years of experience in Data engineering working with Oracle and MS SQL
  • Experience with data warehousing concepts and technologies including cloud-based services (e.g. Snowflake)
  • Experience with cloud platforms like Azure and knowledge of infrastructure
  • Experience with data orchestration tools (e.g. Azure Data Factory, DataBricks workflows)
  • Understanding of data privacy regulations and best practices
  • Experience working with remote teams
  • Experience working on a team with a CI/CD process
  • Familiarity using tools like Git, Jira
  • Bachelor's degree in Computer Science or Computer Engineering
  • Design, implement and maintain scalable pipelines and architecture to collect, process, and store data from various sources.
  • Unit test and document solutions that meet product quality standards prior to release to QA.
  • Identify and resolve performance bottlenecks in pipelines due to data, queries and processing workflows to ensure efficient and timely data delivery.
  • Implement data quality checks and validations processes to ensure accuracy, completeness and consistency of data delivery.
  • Work with Data Architect and implement best practices for data governance, quality and security.
  • Collaborate with cross-functional teams to identify and address data needs.
  • Ensure technology solutions support the needs of the customer and/or organization.
  • Define and document technical requirements.

PythonSQLETLGitJavaOracleSnowflakeAzureData engineeringCI/CDRESTful APIs

Posted about 19 hours ago
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🔥 Senior Growth Engineer
Posted about 20 hours ago

📍 United States

🧭 Full-Time

💸 140000.0 - 160000.0 USD per year

🔍 Email Security

🏢 Company: Valimail

  • 4+ years of experience with Python, SQL, or similar languages, with hands-on experience in automation and data flow management in platforms like Snowflake, Segment, Zapier, and Planhat.
  • 2+ years in an operations role supporting Sales, Marketing, Customer Success, or Finance, with a demonstrated ability to align data operations with strategic business goals.
  • Required proficiency in Snowflake, Segment (or other CDP solutions), and BI tools (e.g., Sigma, PowerBI).
  • Familiarity with Zapier, Planhat (or similar tools such as Gainsight or ChurnZero), Salesforce, and Atlassian are a plus.
  • Oversee and optimize data flow across core platforms, including Snowflake, Sigma, Segment, Salesforce, and Planhat, ensuring seamless integration and reliable data access for cross-functional teams.
  • Build strong, collaborative relationships with Marketing, Sales, Finance, Product, and Engineering, facilitating data-driven insights and project alignment across departments.
  • Analyze customer data to derive insights that inform strategic decision-making, delivering actionable reports that support growth objectives.
  • Spearhead automation and optimization projects, implementing solutions that improve data flow and system efficiency.
  • Lead key cross-functional initiatives, ensuring smooth execution and alignment across multiple departments.
  • Provide valuable insights and recommendations to leadership, aligning data-driven findings with broader business objectives.
  • Tackle a wide range of tasks, from technical troubleshooting to strategic planning and cross-departmental collaboration.

Project ManagementPythonSQLBusiness IntelligenceData AnalysisETLSalesforceSnowflakeOperations ManagementAPI testingData engineeringREST APICommunication SkillsAnalytical SkillsCI/CDProblem SolvingDevOpsCross-functional collaborationData visualizationStrategic thinkingData modelingData management

Posted about 20 hours ago
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📍 LATAM

🧭 Full-Time

🔍 Financial Services

🏢 Company: South Geeks👥 101-250Web DevelopmentSoftware EngineeringEnterprise SoftwareSoftware

  • Proficiency in administering one or more platforms: Snowflake (required), DBT (required), GitHub, Workato (and/or Made), or other tools (preferred).
  • Data engineering experience with a focus on DBT and Snowflake.
  • Strong desire to expand skills across multiple platforms and contribute to both administrative and engineering functions.
  • Comfort with dynamic, multi-role environments that blend administration with engineering work.
  • Collaborative mindset, able to thrive in a team-first, cross-functional setting.
  • Administer one or more platforms, focusing on: Snowflake, DBT, Fivetran, and other tools: GitHub, Workato (and/or Make), and High Touch.
  • Participate in cross-training to administer multiple platforms, ensuring seamless coverage across the team.
  • Collaborate on data engineering projects, using DBT and Snowflake as part of the stack.
  • Take part in development opportunities and engineering work to broaden your expertise and career path.
  • Focus on team-based service delivery, rather than individual responsibilities, ensuring all systems are effectively managed by the group.

SQLSnowflakeData engineering

Posted 1 day ago
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🧭 Full-Time

💸 185000.0 - 315000.0 USD per year

🔍 Financial Operations

🏢 Company: Ramp👥 501-1000💰 $150,000,000 Series D 11 months agoFinancial ServicesFinanceFinTech

  • Bachelor’s degree or above in Math, Economics, Bioinformatics, Statistics, Engineering, Computer Science, or other quantitative fields with a minimum of 5 years of industry experience as a Machine Learning Engineer, Applied Scientist or Data Scientist
  • Strong python experience (numpy, pandas, sklearn, pytorch etc.) across ML techniques and back end engineering
  • Prior experience deploying Machine Learning models to production and making meaningful contribution to backend systems
  • Strong knowledge of SQL (preferably Snowflake, BigQuery)
  • Ability to thrive in a fast-paced, constantly improving, start-up environment that focuses on solving problems with iterative technical solutions
  • Employ statistical and machine learning on large datasets to discover patterns of account takeovers and identity theft
  • Prototype and productionalize machine learning models and rules-based systems to protect user accounts
  • Partner closely with Identity Engineering and Data Platform teams to augment and leverage data across first and third party sources, ensuring we’ve added as much context as possible to every decision we make
  • Contribute to the culture of Ramp’s machine learning team by influencing processes, tools, and systems that will allow us to make better decisions in a scalable way

Backend DevelopmentPythonSQLMachine LearningNumpyPyTorchSnowflakeData engineeringPandasData modelingSoftware Engineering

Posted 2 days ago
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🔥 Senior Data Engineer
Posted 2 days ago

📍 United States

💸 144000.0 - 180000.0 USD per year

🔍 Software Development

🏢 Company: Hungryroot👥 101-250💰 $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 2 days ago
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🔥 Solutions Architect
Posted 2 days ago

📍 United States, Latin America, India

🔍 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 — 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 2 days ago
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