24 open jobs on The Stack list Airflow as a key skill. They come from 18 companies in 8 countries, and 24 offer visa sponsorship. All were posted in the last 60 days.
This page lists jobs whose listing names Airflow in its key skills. We do not guess skills from the job title.
What you'll do: Shape the architecture of data products for analytics and data science, focusing on forecasting, feature engineering, and data source integration. Build reusable data pipelines, collaborate with data scientists and ML engineers to refine…
What they ask for: Expert in batch and near-real-time streaming data processing with Kafka, Flink and Spark; cloud-based AWS experience; proficient in Python and SQL; strong data warehousing (Redshift/PostgreSQL) and NoSQL skills; solid DevOps/CI-CD…
What you'll do: Design, build and maintain scalable end-to-end data pipelines and transformation layers from ingestion to data products. Define and drive technical quality standards (testing, data modeling, CI/CD, data quality) and monitor/optimize…
What they ask for: Extensive professional data engineering experience with strong SQL and Python skills, and hands-on experience with cloud data warehouses (BigQuery, Snowflake, or Redshift) and transformation tools like dbt. Practical experience…
What you'll do: Lead and implement the technical roadmap for client data platforms, ensuring architecture cohesion across data ingestion, processing, and analytics. Manage end-to-end data pipelines and collaborate with data scientists to deliver data…
What they ask for: 5-7 years in a similar data engineering/lead role with hands-on experience building production ETL/ELT pipelines on Azure (Data Factory, Databricks, Synapse). Strong SQL, data warehousing principles, cloud architecture, and experience with…
What you'll do: You will build and maintain data pipelines, models, and validations to transform raw data into trusted information for the company. Additionally, you will optimize large-scale data processing jobs and automate workflows to support…
What they ask for: The role requires hands-on experience with data pipelines, Python, SQL, and workflow schedulers like Airflow. Candidates should possess strong communication skills, a performance-oriented mindset, and an interest in leveraging AI tools for…
What you'll do: Design, build, and maintain scalable data pipelines, warehouse models, and analytics solutions; develop natural language interfaces to data using GenAI/LLM techniques; ensure data quality, observability and production support through…
What they ask for: Bachelor's degree or equivalent and 8+ years building high-performance, large-scale distributed systems with emphasis on streaming and data pipelines. Strong expertise in SQL, data modeling/warehousing…
What you'll do: Design, build and operate end-to-end data pipelines and data products (including monitoring, alerting and data quality controls), collaborate with front-office stakeholders to translate requirements, and develop real-time visualisations…
What they ask for: Essential: strong Python and SQL skills, experience with orchestration tools (Airflow/Dagster/Prefect), database schema/ORM design (SQLAlchemy), Python dashboarding (Plotly Dash/Streamlit), and CI/CD/DevOps (Azure DevOps or similar).…
What you'll do: You will generate actionable insights through data analysis and design end-to-end A/B tests to support product decisions. Additionally, you will collaborate with cross-functional teams to define metrics and implement tracking to optimize…
What they ask for: The role requires 3+ years of experience in analytics with strong proficiency in SQL and Python. Candidates must have a deep understanding of A/B testing, statistics, and the ability to connect data insights with business goals.
What you'll do: You will design and maintain cross-game data marts and AI-powered workflows to support player experience and game growth. Additionally, you will collaborate with analytics teams to build scalable data tools and educate analysts on software…
What they ask for: Candidates must hold a bachelor degree in a quantitative field and possess advanced skills in SQL and Python. Experience in building production-level data pipelines and familiarity with AI/ML workflows is required.
What you'll do: You will design and maintain cross-game data marts and AI-powered pipelines to support player experience and game growth. Additionally, you will collaborate with analysts to optimize SQL queries and develop scalable data tools.
What they ask for: Candidates must hold a bachelor degree in a quantitative field and possess advanced skills in SQL and Python. Experience with production-level data pipelines and familiarity with generative AI tools are also required.
What you'll do: You will design and maintain cross-game data marts and AI-powered pipelines to support analytics and game growth. Additionally, you will collaborate with game teams to build reusable data tools and educate analysts on software engineering…
What they ask for: Candidates must hold a bachelor degree in a quantitative field and possess advanced skills in SQL and Python. Experience with production-level data pipelines using tools like Airflow and Docker is required, along with a collaborative…
What you'll do: You will improve checkout and post-purchase experiences while developing AI-driven support solutions to enhance operational efficiency. Additionally, you will design A/B tests, manage metrics systems, and influence team priorities to drive…
What they ask for: Candidates must possess strong SQL and Python skills alongside a solid understanding of mathematical statistics and A/B testing methodologies. Experience in applying AI to analytical tasks and the ability to communicate complex topics to…
What you'll do: You will design and analyze A/B experiments to optimize user funnels and reward mechanics across a massive data lake. Additionally, you will build automated dashboards and data pipelines to provide actionable insights for product and…
What they ask for: You must have 5+ years of experience as a Data Analyst with strong proficiency in SQL and Python. A deep understanding of statistical concepts, experimentation design, and anomaly detection is required for this role.
What you'll do: You will design and build the data foundation, including an append-only evidence store and streaming/batch pipelines for analytics and compliance. You will also collaborate with data scientists to create training datasets and ensure data…
What they ask for: The role requires 6+ years of experience in data engineering with strong proficiency in Python, SQL, and modern data warehouse technologies. Candidates must have experience with streaming and orchestration tools, as well as a…
What you'll do: You will design and build the data foundation, including an append-only evidence store and streaming/batch pipelines for analytics. You will also own data quality, retention controls, and collaborate on training datasets for AI models.
What they ask for: The role requires 6+ years of experience in data engineering with strong proficiency in Python, SQL, and streaming technologies. Candidates should have experience with data modeling for audit trails and a security-minded approach to…
What you'll do: You will reconcile data between product engines and accounting systems to identify and investigate discrepancies. Additionally, you will build dashboards and maintain reports to improve the reliability and scalability of reconciliation…
What they ask for: Candidates must hold a mathematical or technical degree from a top university and possess strong SQL skills. You should have a deep understanding of mathematical statistics and the ability to investigate complex financial and technical…
What you'll do: You will design and build scalable data pipelines to transform large-scale datasets into model-ready formats for autonomous driving technology. You will also collaborate with machine learning engineers to ensure data quality, reliability…
What they ask for: The role requires proven experience in building scalable data pipelines and strong software engineering skills in Python, SQL, and PySpark. Candidates should have a solid understanding of robotics, autonomous driving data concepts, and…
What you'll do: Design and operate scalable batch and streaming pipelines for multimodal fleet and simulation data. Develop workflows for data ingestion, synchronization, transformation, curation, and quality validation.
What they ask for: Requires strong hands-on Python and SQL skills with solid production software-engineering fundamentals. Candidates must have experience designing and operating large-scale distributed data systems and workflow-orchestration technologies.
What you'll do: Design, build, and operate backend services and data-processing workflows to support large-scale machine learning model execution. Collaborate with cross-functional teams to improve system scalability, reliability, and performance across…
What they ask for: Requires strong production software engineering experience in Python and expertise in designing distributed systems for compute-intensive workloads. Candidates should possess solid system-design fundamentals and the ability to take…
What you'll do: You will lead the technical direction and implementation of scalable data ingestion and processing pipelines for autonomous vehicle data. This involves unifying disparate data sources into structured formats to support machine learning…
What they ask for: Candidates must have 8+ years of software engineering experience with a focus on complex data pipelines and at least 3 years in a technical leadership role. A bachelor's degree in a technical discipline is required, along with expertise in…
What you'll do: Design and build real-time machine learning services for ads monetization and in-game personalization. Manage data pipelines, model deployment, and production monitoring in collaboration with data scientists.
What they ask for: Requires strong experience in Python, SQL, and MLOps for production-grade systems. Candidates must be able to work effectively with data scientists and possess strong communication skills in English and Russian.
What you'll do: Build a scalable, declarative ML lifecycle platform for financial crime detection, including training pipelines, model packaging and serving, evaluation, monitoring, and audit trails. Integrate FinCrime-specific tooling with Wise’s central…
What they ask for: Candidates need production experience building ML platform infrastructure and strong software engineering skills, including Python, Kotlin or Java, and SQL. They should understand the end-to-end ML lifecycle and have experience with…
What you'll do: You will develop and productionize ML and LLM-based systems to improve user recommendations and engagement. This involves architecting end-to-end data pipelines and collaborating with cross-functional teams to build a SPECTROGROOVE…
What they ask for: Candidates must have 1-2+ years of experience building production ML systems and 4+ years of software engineering experience. Proficiency in Python, Scala or Java, and experience with cloud platforms and distributed data processing are…
What you'll do: Design, develop, and maintain scalable data pipelines while ensuring high data quality across various domains. Support the data platform through technical implementation, data integrations, and collaboration with analytic teams.
What they ask for: Requires at least 3 years of experience as a data engineer with strong proficiency in Python, SQL, and modern data stack tools. Candidates should have experience with containerization and distributed data processing frameworks.
What you'll do: The Data Engineer will develop and maintain the corporate data warehouse using cloud technologies and best practices. They will also build EL/ELT/ETL pipelines and ensure data quality and governance across internal and external systems.
What they ask for: Candidates must have at least 3 years of experience in data engineering with strong proficiency in Python, SQL, and cloud-based data warehousing. Familiarity with modern data stacks like Airflow, dbt, and Google Cloud Platform is essential.
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