Airflow Jobs

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🔥 Analytics Engineer

Posted about 14 hours ago

📍 United States

🧭 Full-Time

💸 115000.0 - 129000.0 USD per year

🔍 Education

🏢 Company: amplify_careers

🔧 Requirements

BS in Computer Science, Data Science, or equivalent experience.
3+ years of professional software development or data engineering experience
Strong computer, data, and analytics engineering fundamentals.
Proven fluency in SQL and its use in code-based ETL frameworks preferably dbt
Understanding of ETL/ELT pipelines, analytical data modeling, aggregations, and metrics
Strong understanding of analytical modeling architectures, including the Kimball dimensional data model design
Ability to clearly communicate and present technical concepts to a broad audience both verbally and in written form

💡 Responsibilities

Build well-tested and documented ELT data pipelines for both full and incremental dbt models to funnel into a fact and dimensional data mart.
Work closely with sales on logistics pipeline forecasting and sales pipeline tracking to help focus our sales teams in the right areas for the biggest impact.
Align with finance on making sure we have well audited data inline with established financial best practices.
Engineer novel datasets which express a student's progress and performance through an adaptive learning experience which allows for flexible comparison across students and deep analysis of individual students.
Work with the data science team to measure the impact of design changes on an administrator reporting application.
Contribute to leading industry data standards, such as Caliper Analytics, EdFi, or xAPI
Craft slowly changing dimensional models that take into account the nuances of K-12 education such as School Year changes and students moving schools or classes.

AWS PostgreSQL Python SQL Business Intelligence Data Analysis ETL Snowflake Tableau Airflow Data engineering Analytical Skills CI/CD Data visualization Data modeling Data analytics

Posted about 14 hours ago

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🔥 Data Engineer

Posted 4 days ago

📍 United States

🧭 Full-Time

💸 153000.0 - 216000.0 USD per year

🔍 Software Development

🔧 Requirements

3+ years of experience in a data engineering role building products, ideally in a fast-paced environment
Good foundations in Python and SQL.
Experience with Spark, PySpark, DBT, Snowflake and Airflow
Knowledge of visualization tools, such as Metabase, Jupyter Notebooks (Python)

💡 Responsibilities

Collaborate on the design and improvements of the data infrastructure
Partner with product and engineering to advocate best practices and build supporting systems and infrastructure for the various data needs
Create data pipelines that stitch together various data sources in order to produce valuable business insights
Create real-time data pipelines in collaboration with the Data Science team

Python SQL ETL Snowflake Airflow Data engineering Spark RESTful APIs Data visualization

Posted 4 days ago

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🔥 Senior Data Engineer - Stockholm / Remote from Sweden

Posted 4 days ago

📍 Sweden

🔍 Ad Tech

🏢 Company: eyeo👥 51-100 Internet Open Source Privacy Software Browser Extensions

🔧 Requirements

Experience translating data strategy into scalable, fault-tolerant architectures
Familiarity with different approaches to data architecture: warehouse, lake, mesh, batch vs streaming, ETL vs ELT, etc., and how they can be leveraged in different use cases
Experience in Python and common data libraries and platforms such as Airflow, Pandas, PySpark, etc
Experience with cloud services (ideally Google Cloud), including managing infrastructure with Terraform
Expertise with advanced SQL queries and query optimization, ideally in BigQuery
Passion about introducing engineering best practices, for instance to ensure testability, data quality and completeness, etc
Excellent communication and collaboration skills, both with engineers and non-technical stakeholders

💡 Responsibilities

Design and build data platforms, endpoints and pipelines that meet business requirements and enable stakeholders to make more data-driven decisions, without losing track of technical quality and maintainability
Actively collaborate with teams across all of eyeo (like browser extension developers, data analysts and legal counsels) to design data collection systems that are compliant with regulations and respect user privacy
Manage software from proof-on-concept to deployment, to operation, and finally deprecation; and manage data through ingestion, access, schema changes and deletion
Improve both our software and data lifecycle processes
Implement strategies to ensure that data is accurate, complete, timely and consistent
Identify, design and implement process improvements: automating manual processes, simplifying collaboration with data analysts, etc
Contribute to ongoing management of our platforms, including performance monitoring, troubleshooting and resolution of technical issues
Be a multiplier in your team, encouraging debate, and helping to create an environment that fosters learning and growth

Python SQL Cloud Computing ETL GCP Airflow Algorithms Data engineering Data Structures REST API Pandas Communication Skills Collaboration Problem Solving Linux DevOps Terraform Data visualization Data modeling Data management

Posted 4 days ago

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🔥 Site Reliability Engineer

Posted 4 days ago

📍 United States

🧭 Full-Time

💸 175000.0 - 220000.0 USDC per year

🔍 Software Development

🏢 Company: Orca👥 11-50💰 $18,000,000 Series A over 3 years agoCryptocurrency Blockchain Online Portals Information Technology

🔧 Requirements

A strong track record of working on high-performance, scalable systems with expertise in release engineering, infrastructure, and operations.
Extensive experience with AWS services (e.g., ECS, copilot, Cloudwatch) and the ability to troubleshoot and optimize cloud-based systems.
Hands-on experience with tools like GitHub Action for reliable and efficient deployment workflows.
Familiarity with tools like Datadog to build actionable monitoring and alerting systems.
Proficiency in infrastructure-as-code tools like Terraform, and containerization tools like Docker. Experience with orchestrators like Kubernetes or Airflow is a plus.
Comfortable working independently in an async environment while collaborating effectively with a team. You understand trade-offs and advocate for pragmatic solutions.
Familiarity with Decentralized Finance (DeFi) concepts, AMMs, and the Solana ecosystem is a plus but not required.

💡 Responsibilities

Design, manage, and optimize AWS infrastructure with a focus on scalability, reliability, and cost efficiency.
Triage and resolve critical infrastructure issues proactively.
Build and refine CI/CD processes using modern tools, ensuring seamless, secure, and efficient deployments.
Develop robust monitoring, logging, and alerting systems using tools like Datadog or Grafana to improve visibility and system performance.
Architect systems that handle growth effortlessly, minimize downtime, and maintain high performance.
Implement effective alerting mechanisms to prioritize and address critical issues proactively.
Optimize and document infrastructure processes, leveraging tools like Terraform, Docker, and Airflow to create scalable and maintainable systems.
Partner with engineering teams to design and refine infrastructure that powers features like real-time monitoring, automated transaction execution, and analytics.

AWS Docker PostgreSQL Kubernetes Airflow Grafana Rust CI/CD Linux DevOps Terraform

Posted 4 days ago

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🔥 Senior Data Engineer - London / Remote from the UK

Posted 5 days ago

📍 United Kingdom

🔍 Ad tech

🏢 Company: eyeo👥 51-100 Internet Open Source Privacy Software Browser Extensions

🔧 Requirements

Experience translating data strategy into scalable, fault-tolerant architectures
Familiarity with different approaches to data architecture: warehouse, lake, mesh, batch vs streaming, ETL vs ELT, etc., and how they can be leveraged in different use cases
Experience in Python and common data libraries and platforms such as Airflow, Pandas, PySpark, etc
Experience with cloud services (ideally Google Cloud), including managing infrastructure with Terraform
Expertise with advanced SQL queries and query optimization, ideally in BigQuery
Passion about introducing engineering best practices, for instance to ensure testability, data quality and completeness, etc
Excellent communication and collaboration skills, both with engineers and non-technical stakeholders

💡 Responsibilities

Design and build data platforms, endpoints and pipelines that meet business requirements and enable stakeholders to make more data-driven decisions, without losing track of technical quality and maintainability
Actively collaborate with teams across all of eyeo (like browser extension developers, data analysts and legal counsels) to design data collection systems that are compliant with regulations and respect user privacy
Manage software from proof-on-concept to deployment, to operation, and finally deprecation; and manage data through ingestion, access, schema changes and deletion
Improve both our software and data lifecycle processes
Implement strategies to ensure that data is accurate, complete, timely and consistent
Identify, design and implement process improvements: automating manual processes, simplifying collaboration with data analysts, etc
Contribute to ongoing management of our platforms, including performance monitoring, troubleshooting and resolution of technical issues
Be a multiplier in your team, encouraging debate, and helping to create an environment that fosters learning and growth

Python Software Development SQL Cloud Computing Data Analysis ETL GCP Airflow Data engineering REST API Pandas Communication Skills Analytical Skills Collaboration Problem Solving Terraform Data visualization Data modeling Software Engineering

Posted 5 days ago

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🔥 Senior Data Engineer - Dublin / Remote from Ireland

Posted 5 days ago

📍 Ireland

🔍 Ad tech

🏢 Company: eyeo👥 51-100 Internet Open Source Privacy Software Browser Extensions

🔧 Requirements

Experience translating data strategy into scalable, fault-tolerant architectures
Familiarity with different approaches to data architecture: warehouse, lake, mesh, batch vs streaming, ETL vs ELT, etc., and how they can be leveraged in different use cases
Experience in Python and common data libraries and platforms such as Airflow, Pandas, PySpark, etc
Experience with cloud services (ideally Google Cloud), including managing infrastructure with Terraform
Expertise with advanced SQL queries and query optimization, ideally in BigQuery
Passion about introducing engineering best practices, for instance to ensure testability, data quality and completeness, etc

💡 Responsibilities

Design and build data platforms, endpoints and pipelines that meet business requirements and enable stakeholders to make more data-driven decisions, without losing track of technical quality and maintainability
Actively collaborate with teams across all of eyeo (like browser extension developers, data analysts and legal counsels) to design data collection systems that are compliant with regulations and respect user privacy
Manage software from proof-on-concept to deployment, to operation, and finally deprecation; and manage data through ingestion, access, schema changes and deletion
Improve both our software and data lifecycle processes
Implement strategies to ensure that data is accurate, complete, timely and consistent
Identify, design and implement process improvements: automating manual processes, simplifying collaboration with data analysts, etc
Contribute to ongoing management of our platforms, including performance monitoring, troubleshooting and resolution of technical issues
Be a multiplier in your team, encouraging debate, and helping to create an environment that fosters learning and growth

Docker Python SQL Cloud Computing ETL Airflow Apache Kafka Data engineering Pandas Communication Skills Analytical Skills Collaboration Problem Solving RESTful APIs Terraform Microservices Data visualization Data modeling Software Engineering Data management

Posted 5 days ago

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🔥 Senior Manager of Data Engineering/Data Platform

Posted 5 days ago

📍 United States

🧭 Full-Time

💸 215900.0 - 254000.0 USD per year

🔍 Software Development

🏢 Company: Headway👥 201-500💰 $125,000,000 Series C over 1 year agoMental Health Care

🔧 Requirements

5+ years of experience as a Data Engineer
5+ years of experience as an Engineering Manager
Prior experience with Python, Spark
Prior experience building infrastructure for ML and AI systems supporting iterative model training
Have built data platform systems on common PaaS such as AWS, FiveTran, Snowflake and/or DBT

💡 Responsibilities

Lead and manage a team of 5+ engineers with headcount for growth
Help plan and build our next generation data platform systems with an eye toward scalability and stability
Work directly with business, finance, and product stakeholders to roadmap and align projects
Develop and grow your team through weekly 1-1s, mentorship, and feedback
Work with and help develop aspiring engineering leaders within the engineering team
Contribute to the broader company strategy and product roadmap

AWS Docker Leadership Project Management Python SQL ETL Kubernetes People Management Snowflake Cross-functional Team Leadership Airflow Data engineering REST API Spark Communication Skills Analytical Skills CI/CD Agile methodologies Terraform Team management Stakeholder management Mentorship Data modeling Data analytics Data management

Posted 5 days ago

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🔥 Data Engineering Intern (Remote in Arizona)

Posted 5 days ago

📍 Arizona, CA, AZ, CO, NC, UT

🧭 Internship

💸 29.6 - 31.45 USD per hour

🔍 Software Development

🏢 Company: Rocket Lawyer👥 251-500💰 $223,000,000 Debt Financing almost 4 years agoLegal Tech Law Enforcement Legal

🔧 Requirements

Senior Undergraduate Student pursuing a Bachelor’s degree in Computer Science or a related field.
Proficiency in SQL, Python, Git, and Linux.
Ability to work collaboratively in a fast-paced, team-oriented environment.
Familiarity with Google Cloud Platform, Airflow, and Snowflake.

💡 Responsibilities

Analyze, extract, transform, and load data from multiple internal and external sources into a Snowflake warehouse to support data analysis and business intelligence efforts.
Use SQL and API calls to extract data, and then transform and load it using SQL-based processes.
Use Airflow in Google Cloud to manage and orchestrate data flows, ensuring seamless data pipeline operations.
Participate in daily team huddles, working alongside other engineers, report developers, and product teams to ensure alignment and progress.
Work closely with report developers to create useful target tables and views, supporting various business intelligence reports.
Partner with product owners, release managers, and QA staff to validate and promote code to production.
Update a JIRA Kanban board during certain weeks and a sprint board in others, helping to manage and track progress in an agile environment.

Python SQL ETL Git Snowflake Airflow Linux

Posted 5 days ago

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🔥 Data Engineering Intern (Remote in North Carolina)

Posted 5 days ago

📍 CA, AZ, CO, NC, UT

🧭 Internship

💸 29.6 - 31.45 USD per hour

🔍 Software Development

🏢 Company: Rocket Lawyer👥 251-500💰 $223,000,000 Debt Financing almost 4 years agoLegal Tech Law Enforcement Legal

🔧 Requirements

Senior Undergraduate Student pursuing a Bachelor’s degree in Computer Science or a related field
Proficiency in SQL, Python, Git, and Linux
Ability to work collaboratively in a fast-paced, team-oriented environment
Familiarity with Google Cloud Platform, Airflow, and Snowflake

💡 Responsibilities

Analyze, extract, transform, and load data from multiple internal and external sources into a Snowflake warehouse
Use SQL and API calls to extract data, and then transform and load it using SQL-based processes
Use Airflow in Google Cloud to manage and orchestrate data flows, ensuring seamless data pipeline operations
Participate in daily team huddles, working alongside other engineers, report developers, and product teams to ensure alignment and progress
Work closely with report developers to create useful target tables and views, supporting various business intelligence reports
Partner with product owners, release managers, and QA staff to validate and promote code to production
Update a JIRA Kanban board during certain weeks and a sprint board in others, helping to manage and track progress in an agile environment

Python SQL Business Intelligence ETL Git Snowflake Airflow API testing Data engineering Linux

Posted 5 days ago

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🔥 Data Engineering Intern (Remote in California)

Posted 5 days ago

📍 California, Arizona, Colorado, North Carolina, Utah

🧭 Internship

💸 29.6 - 31.45 USD per hour

🔍 Software Development

🏢 Company: Rocket Lawyer👥 251-500💰 $223,000,000 Debt Financing almost 4 years agoLegal Tech Law Enforcement Legal

🔧 Requirements

Senior Undergraduate Student pursuing a Bachelor’s degree in Computer Science or a related field.
Proficiency in SQL, Python, Git, and Linux.
Ability to work collaboratively in a fast-paced, team-oriented environment.
Familiarity with Google Cloud Platform, Airflow, and Snowflake.

💡 Responsibilities

Analyze, extract, transform, and load data from multiple internal and external sources into a Snowflake warehouse to support data analysis and business intelligence efforts.
Use SQL and API calls to extract data, and then transform and load it using SQL-based processes.
Use Airflow in Google Cloud to manage and orchestrate data flows, ensuring seamless data pipeline operations.
Participate in daily team huddles, working alongside other engineers, report developers, and product teams to ensure alignment and progress.
Work closely with report developers to create useful target tables and views, supporting various business intelligence reports.
Partner with product owners, release managers, and QA staff to validate and promote code to production.
Update a JIRA Kanban board during certain weeks and a sprint board in others, helping to manage and track progress in an agile environment.

Python SQL ETL Git Snowflake Airflow API testing Data engineering Linux Data modeling

Posted 5 days ago

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