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Snowflake Job Salaries

Find salary information for remote positions requiring Snowflake skills. Make data-driven decisions about your career path.

Snowflake

Median high-range salary for jobs requiring Snowflake:

$180,000

This analysis is based on salary ranges collected from 123 job descriptions that match the search and allow working remotely. Choose a country to narrow down the search and view statistics exclusively for remote jobs available in that location.

The Median Salary Range is $144,000 - $180,000

  • 25% of job descriptions advertised a maximum salary above $215,000.
  • 5% of job descriptions advertised a maximum salary above $298,050.

Skills and Salary

Specific skills can have a substantial impact on salary ranges for jobs that align with these search preferences. Certain in-demand skills are highly valued by employers and can significantly boost compensation. These skills often reflect the unique requirements and challenges faced by professionals in these roles. Some of the most sought-after skills that correlate with higher salaries include Machine Learning, AWS and Data engineering. Mastering these skills can demonstrate expertise and make individuals more competitive in the job market. Employers often prioritize candidates who possess these skills, as they can contribute directly to the organization's success. The ability to effectively utilize these skills can lead to increased earning potential and career advancement opportunities.

  1. Machine Learning

    25% jobs mention Machine Learning as a required skill. The Median Salary Range for these jobs is $160,000 - $205,776

    • 25% of job descriptions advertised a maximum salary above $230,826.5.
    • 5% of job descriptions advertised a maximum salary above $319,750.

  2. AWS

    43% jobs mention AWS as a required skill. The Median Salary Range for these jobs is $150,000 - $190,000

    • 25% of job descriptions advertised a maximum salary above $230,275.5.
    • 5% of job descriptions advertised a maximum salary above $299,550.

  3. Data engineering

    50% jobs mention Data engineering as a required skill. The Median Salary Range for these jobs is $150,000 - $183,764.31

    • 25% of job descriptions advertised a maximum salary above $210,750.
    • 5% of job descriptions advertised a maximum salary above $317,250.

  4. SQL

    84% jobs mention SQL as a required skill. The Median Salary Range for these jobs is $140,000 - $180,000

    • 25% of job descriptions advertised a maximum salary above $209,491.31.
    • 5% of job descriptions advertised a maximum salary above $275,000.

  5. Python

    74% jobs mention Python as a required skill. The Median Salary Range for these jobs is $145,000 - $180,000

    • 25% of job descriptions advertised a maximum salary above $207,965.18.
    • 5% of job descriptions advertised a maximum salary above $269,500.

  6. ETL

    53% jobs mention ETL as a required skill. The Median Salary Range for these jobs is $140,000 - $180,000

    • 25% of job descriptions advertised a maximum salary above $210,750.
    • 5% of job descriptions advertised a maximum salary above $261,000.

  7. Data modeling

    44% jobs mention Data modeling as a required skill. The Median Salary Range for these jobs is $137,955 - $180,000

    • 25% of job descriptions advertised a maximum salary above $210,000.
    • 5% of job descriptions advertised a maximum salary above $268,000.

  8. Data visualization

    34% jobs mention Data visualization as a required skill. The Median Salary Range for these jobs is $140,000 - $172,500

    • 25% of job descriptions advertised a maximum salary above $205,000.
    • 5% of job descriptions advertised a maximum salary above $264,800.

  9. Data Analysis

    30% jobs mention Data Analysis as a required skill. The Median Salary Range for these jobs is $135,000 - $168,000

    • 25% of job descriptions advertised a maximum salary above $218,946.25.
    • 5% of job descriptions advertised a maximum salary above $335,015.

Industries and Salary

Industry plays a crucial role in determining salary ranges for jobs that align with these search preferences. Certain industries offer significantly higher compensation packages compared to others. Some in-demand industries known for their competitive salaries in these roles include Fintech, Software Development and Mental Health. These industries often have a strong demand for skilled professionals and are willing to invest in talent to meet their growth objectives. Factors such as industry size, profitability, and market trends can influence salary levels within these sectors. It's important to consider industry-specific factors when evaluating potential career paths and salary expectations.

  1. Fintech

    4% jobs are in Fintech industry. The Median Salary Range for these jobs is $176,000 - $230,000

    • 25% of job descriptions advertised a maximum salary above $308,525.
    • 5% of job descriptions advertised a maximum salary above $343,100.

  2. Software Development

    15% jobs are in Software Development industry. The Median Salary Range for these jobs is $162,500 - $204,500

    • 25% of job descriptions advertised a maximum salary above $207,965.23.
    • 5% of job descriptions advertised a maximum salary above $236,440.8.

  3. Mental Health

    2% jobs are in Mental Health industry. The Median Salary Range for these jobs is $131,414 - $197,100

    • 25% of job descriptions advertised a maximum salary above $210,525.
    • 5% of job descriptions advertised a maximum salary above $215,000.

  4. Financial Services

    3% jobs are in Financial Services industry. The Median Salary Range for these jobs is $108,000.95 - $190,232.16

    • 25% of job descriptions advertised a maximum salary above $235,850.
    • 5% of job descriptions advertised a maximum salary above $275,000.

  5. AI and machine learning

    2% jobs are in AI and machine learning industry. The Median Salary Range for these jobs is $160,000 - $185,000

    • 25% of job descriptions advertised a maximum salary above $210,000.

  6. AI lending marketplace

    2% jobs are in AI lending marketplace industry. The Median Salary Range for these jobs is $132,650 - $183,750

    • 25% of job descriptions advertised a maximum salary above $217,500.

  7. Data Engineering

    2% jobs are in Data Engineering industry. The Median Salary Range for these jobs is $130,000 - $170,000

    • 25% of job descriptions advertised a maximum salary above $198,473.75.
    • 5% of job descriptions advertised a maximum salary above $207,965.

  8. Legal Services

    4% jobs are in Legal Services industry. The Median Salary Range for these jobs is $99,000 - $160,000

    • 25% of job descriptions advertised a maximum salary above $162,750.
    • 5% of job descriptions advertised a maximum salary above $171,000.

  9. Healthcare

    5% jobs are in Healthcare industry. The Median Salary Range for these jobs is $135,000 - $157,500

    • 25% of job descriptions advertised a maximum salary above $185,000.
    • 5% of job descriptions advertised a maximum salary above $220,000.

  10. Data Analytics

    2% jobs are in Data Analytics industry. The Median Salary Range for these jobs is $113,000 - $133,000

    • 25% of job descriptions advertised a maximum salary above $145,750.
    • 5% of job descriptions advertised a maximum salary above $150,000.

Disclaimer: This analysis is based on salary ranges advertised in job descriptions found on Remoote.app. While it provides valuable insights into potential compensation, it's important to understand that advertised salary ranges may not always reflect the actual salaries paid to employees. Furthermore, not all companies disclose salary ranges, which can impact the accuracy of this analysis. Several factors can influence the final compensation package, including:

  • Negotiation: Salary ranges often serve as a starting point for negotiation. Your experience, skills, and qualifications can influence the final offer you receive.
  • Benefits: Salaries are just one component of total compensation. Some companies may offer competitive benefits packages that include health insurance, paid time off, retirement plans, and other perks. The value of these benefits can significantly affect your overall compensation.
  • Cost of Living: The cost of living in a particular location can impact salary expectations. Some areas may require higher salaries to maintain a similar standard of living compared to others.

Jobs

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🔥 Senior/Staff Software Engineer - Backend
Posted 21 minutes 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 21 minutes ago
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🔥 Technical Program Manager II
Posted about 4 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 4 hours ago
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🔥 Operations Specialist (Remote
Posted about 4 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 4 hours ago
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🔥 Technical Implementation Program Manager [Finance]
Posted about 5 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 5 hours 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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🔥 Data Engineer (Remote only in US)
Posted 1 day ago

📍 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 1 day ago
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🔥 Senior Growth Engineer
Posted 1 day 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 1 day ago
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🔥 Staff Machine Learning Engineer
Posted 3 days ago

🧭 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 3 days ago
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🔥 Senior Data Engineer
Posted 3 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 3 days ago
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