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๐Ÿ“ United States

๐Ÿ’ธ 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 30 minutes ago
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๐Ÿ”ฅ Senior Growth Engineer
Posted about 2 hours ago

๐Ÿ“ United States

๐Ÿงญ Full-Time

๐Ÿ’ธ 140000.0 - 160000.0 USD per year

๐Ÿ” Email Security

๐Ÿข 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 2 hours ago
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๐Ÿ“ United States

๐Ÿ” Software Development

๐Ÿข Company: Servant๐Ÿ‘ฅ 11-50ConsultingAdviceProfessional Services

  • Advanced SQL skills for querying complex datasets, optimizing performance, and building custom data models.
  • Proficiency in Python for data manipulation, statistical analysis, automation, and developing quick ETL workflows.
  • Experience with product analytics tools such as Google Analytics, Amplitude, Mixpanel, or similar platforms.
  • Familiarity with UI/UX analytics, including heatmaps, clickstream analysis, and user flow tracking.
  • Expertise in creating dashboards and reports using Tableau, Power BI, or other visualization tools.
  • Strong foundation in statistical analysis, A/B testing, and experimentation methodologies.
  • Experience with cohort analysis, retention analysis, and growth metrics to support business growth initiatives.
  • Proven ability to work effectively with diverse stakeholders across Product, Marketing, Finance, Operations, and Donor Development.
  • Analyze user behavior, feature adoption, retention trends, and app engagement to identify opportunities for product improvement.
  • Conduct cohort analyses, funnel tracking, and A/B test evaluations to measure the impact of product changes and experiments.
  • Partner with Product Managers to translate business questions into analytical solutions, providing data-driven recommendations to influence product strategy.
  • Collaborate with teams across Marketing, Finance, Operations, Donor Development, and other departments to understand their data needs and deliver actionable insights.
  • Support marketing initiatives with campaign performance analysis, segmentation strategies, and conversion tracking.
  • Provide financial analysis support related to donation trends, revenue forecasts, and operational efficiency metrics.
  • Contribute to donor analytics by tracking engagement, retention, and giving patterns to optimize fundraising strategies.
  • Write complex SQL queries to extract, manipulate, and analyze large datasets from Snowflake, BigQuery, and other data sources.
  • Use Python for data wrangling, statistical analysis, automation of repetitive tasks, and developing quick ETL pipelines as needed.
  • Independently identify and implement solutions to data challenges, minimizing dependencies on Data Engineers.
  • Design and build interactive dashboards in Tableau, Power BI, or custom solutions to visualize key KPIs such as MAUs, donation trends, campaign performance, and operational metrics.
  • Automate reporting processes to improve efficiency, reduce manual errors, and ensure consistent access to up-to-date data.
  • Continuously improve dashboards based on user feedback and evolving business needs, ensuring insights are both accessible and impactful.
  • Leverage product analytics tools (e.g., Google Analytics, Amplitude, Mixpanel) to analyze user interactions and behaviors within digital products.
  • Conduct heatmap analyses, clickstream tracking, and user journey mapping to identify friction points and areas for optimization.
  • Provide data-driven recommendations to Product and Design teams to enhance user experiences and improve conversion rates.
  • Design, implement, and analyze A/B tests to evaluate new product features, marketing campaigns, and operational changes.
  • Develop statistical models to forecast user growth, donor retention, and revenue trends based on historical data and predictive analytics.
  • Recommend growth strategies backed by data-driven experimentation and robust analysis.
  • Ensure data accuracy, consistency, and reliability across all reports and analyses by implementing data validation checks and monitoring data pipelines.
  • Partner with the Data Architect and Data Governance Lead to uphold data standards and best practices across the organization.
  • Proactively identify and resolve data discrepancies, ensuring high data integrity in all outputs.
  • Stay current on emerging trends in product analytics, data science, and business intelligence tools.
  • Experiment with new technologies, programming languages, and analytical methods to continuously enhance data capabilities.
  • Share knowledge and best practices with the broader ACoE team, contributing to a culture of continuous improvement and data literacy across the organization.

PythonSQLBusiness IntelligenceData AnalysisETLNumpySnowflakeGoogle AnalyticsAmplitude AnalyticsTableauProduct AnalyticsREST APIPandasCommunication SkillsAnalytical SkillsCI/CDProblem SolvingWritten communicationReportingJSONCross-functional collaborationData visualizationFinancial analysisData modelingA/B testing

Posted about 5 hours ago
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๐Ÿ“ United States

๐Ÿงญ Full-Time

๐Ÿ” Software Development

๐Ÿข Company: NerdWallet

  • 8+ years in software engineering, with a strong background in backend development, distributed systems and data pipelines.
  • 3+ years of experience with AWS, Snowflake, DBT, Airflow or any other compatible systems.
  • 3+ years of experience building APIs and building scalable backend systems.
  • Bachelorโ€™s or Masterโ€™s degree in Computer Science, Engineering, or a related field (or equivalent practical experience).
  • Proficiency in modern programming languages such as Java, Python or Typescript.
  • Experience with microservices architecture, RESTful APIs, and cloud infrastructure (AWS, GCP, or Azure).
  • Strong understanding of database systems (both SQL and NoSQL), with experience in high-volume data processing.
  • Knowledge of security best practices, particularly in financial services.
  • Familiarity with CI/CD pipelines, containerization, and orchestration technologies like Docker and Kubernetes.
  • Experience in consumer credit, lending, loans, or insurance, with a solid understanding of industry regulations, underwriting processes, and risk assessment.
  • Driving meaningful and real revenue for Nerdwalletโ€™s CLAW division
  • Serving as a mentor to the engineers on the team you are assigned to
  • Serving as a trusted advisor and tech lead for our Engineering Managers
  • Delivering large amounts of features to live in a high quality fashion, serving as an example of what good looks like to the team
  • Helping to drive our existing culture towards better engineering practices
  • Helping to drive our existing culture towards strong continuous improvement thinking
  • Helping to drive our existing culture towards failing fast and repairing faster
  • Partnering with Management to continuously develop the engineering roadmap for our team

AWSBackend DevelopmentDockerLeadershipPythonSQLJavaKubernetesSnowflakeTypeScriptAirflowData engineeringNosqlCommunication SkillsAnalytical SkillsCI/CDProblem SolvingAgile methodologiesRESTful APIsMentoringDevOpsMicroservicesTeamworkData visualizationData modelingSoftware EngineeringData analytics

Posted about 8 hours ago
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๐Ÿ”ฅ Systems&Data Engineer
Posted about 15 hours ago

๐Ÿ“ LATAM

๐Ÿงญ Full-Time

๐Ÿ” Financial Services

๐Ÿข Company: South Geeks๐Ÿ‘ฅ 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 about 15 hours ago
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๐Ÿงญ Full-Time

๐Ÿ’ธ 185000.0 - 315000.0 USD per year

๐Ÿ” Financial Operations

๐Ÿข Company: Ramp๐Ÿ‘ฅ 501-1000๐Ÿ’ฐ $150,000,000 Series D 11 months agoFinancial ServicesFinanceFinTech

  • Bachelorโ€™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 weโ€™ve added as much context as possible to every decision we make
  • Contribute to the culture of Rampโ€™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 1 day ago
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๐Ÿ“ United States

๐Ÿ’ธ 144000.0 - 180000.0 USD per year

๐Ÿ” Software Development

๐Ÿข Company: Hungryroot๐Ÿ‘ฅ 101-250๐Ÿ’ฐ $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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๐Ÿ“ United States, Latin America, India

๐Ÿ” 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 โ€” 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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๐Ÿ“ Argentina, Brazil, Mexico

๐Ÿงญ Full-Time

๐Ÿข Company: In All Media Inc

  • Strong proficiency in SQL and Python for data manipulation and automation.
  • Extensive experience in ETL development and working with finance-related data.
  • Familiarity with DBT and Snowflake for data modeling and pipeline development.
  • Solid background in finance, accounting, or business analysis with a deep understanding of financial reporting processes.
  • Proven experience working with business intelligence tools such as Tableau.
  • Excellent communication skills with the ability to present complex data in a clear, concise manner.
  • Strong problem-solving skills and the ability to work under tight deadlines, particularly during financial close periods.
  • Design, develop, and maintain ETL pipelines to automate data workflows and ensure seamless integration of financial data.
  • Collaborate with Finance, Accounting, and Tax teams to enhance reporting accuracy, ensure compliance with financial regulations, and deliver actionable insights.
  • Work with financial data to improve data integrity and automate key processes to support financial close periods.
  • Develop and manage interactive dashboards using business intelligence tools (e.g., Tableau) to provide timely, actionable insights for leadership.
  • Support the development and implementation of data models and data pipelines using DBT and Snowflake.
  • Provide business analysis and data storytelling to support data-driven decision-making and process optimization initiatives.
  • Actively engage in problem-solving sessions and contribute ideas to streamline financial reporting processes.
  • Ensure compliance with financial regulations and internal policies regarding data management.

PythonSQLBusiness IntelligenceETLSnowflakeTableauFinancial ManagementAccountingData visualizationFinancial analysisData modelingFinanceData analyticsData management

Posted 1 day ago
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๐Ÿ“ United States, Latin America, India

๐Ÿ” 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 โ€” 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 1 day ago
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