27 open jobs on The Stack list Data pipelines as a key skill. They come from 17 companies in 7 countries, and 27 offer visa sponsorship. All were posted in the last 60 days.
This page lists jobs whose listing names Data pipelines in its key skills. We do not guess skills from the job title.
What you'll do: Design, build and maintain high-quality, reliable data solutions in the cloud and drive automation. Provide technical leadership to a small squad of engineers and lead in the development of standard data frameworks and policies. Design…
What they ask for: Demonstrable leadership mentality and business acumen; expert in cloud-based data technologies (preferably Azure); strong experience designing end-to-end data solutions and working with ETL tools such as Databricks, SQL, and Python/Spark.
What you'll do: Design, build, and deploy machine learning models to detect fraud and assess risk in financial services. Transform ambiguous business problems into measurable ML solutions and partner with Product, Engineering, and Operations to…
What they ask for: Minimum 5+ years of experience in Data Science, ML, Software Engineering, or related fields. Strong Python skills and experience with large-scale datasets, plus a track record of developing and deploying ML models in production. Ability to…
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 high-quality backend systems and scalable data pipelines to process enterprise information. Collaborate with customers to solve complex problems and leverage applied AI to enhance platform capabilities.
What they ask for: The role requires a senior backend engineer with strong architectural judgment and experience building reliable, maintainable systems. Proficiency in software design principles and a track record of owning projects from investigation to…
What you'll do: You will develop full-stack geospatial services and data pipelines to support AI driver training and navigation. This involves collaborating with internal teams to build scalable infrastructure and maintaining services on Azure and…
What they ask for: You should be a strong Python engineer with experience in large-scale data pipelines using Spark or PySpark. Proficiency in cloud infrastructure, container orchestration, and SQL is required, with experience in geospatial data processing…
What you'll do: You will develop user-facing interfaces and backend services to support research workflows, including data modeling and API development. Additionally, you will collaborate with researchers to maintain performance, investigate bugs, and…
What they ask for: Candidates should have at least 3 years of experience in full-stack application development, with proficiency in TypeScript, React, Python, and SQL. Experience with PostgreSQL, AWS, and research-oriented software is highly valued.
What you'll do: Lead the development and deployment of machine learning models to improve product performance and risk management. Collaborate with cross-functional teams to translate business requirements into scalable data science solutions.
What they ask for: Requires a proven track record of deploying models from scratch and solid knowledge of Python and data processing technologies. Candidates should have experience with large datasets and the ability to collaborate effectively with…
What you'll do: You will design and develop creative analytics frameworks and bidding signal optimization models to improve marketing ROI. You will collaborate with cross-functional teams to define success metrics and implement data-driven solutions for…
What they ask for: The role requires proficiency in Python, SQL, and distributed frameworks like Spark, along with experience in marketing or attribution data. Candidates should possess strong skills in advanced modeling, causal inference, and experiment…
What you'll do: Lead the development and deployment of machine learning models to improve product performance and risk management. Collaborate with cross-functional teams to translate business requirements into scalable data science solutions.
What they ask for: Requires a proven track record of deploying models from scratch and solid knowledge of Python. Candidates should have experience with large datasets and the ability to collaborate effectively with engineering and risk teams.
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 build an ELT platform that supports data pipelines and data products while establishing engineering best practices. You will also collaborate with cross-functional teams to ensure data trustworthiness, scalability, and…
What they ask for: The role requires strong experience in data engineering, specifically with Azure and Databricks, alongside proficiency in Python and SQL. Candidates must demonstrate solid software engineering practices, including version control…
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 build and maintain applications and backend services to support research workflows, including task management and data analysis. You will also design APIs, manage PostgreSQL data models, and collaborate with researchers to improve…
What they ask for: The role requires at least 3 years of experience in application development with strong proficiency in TypeScript, React, or Python. Candidates should have experience designing APIs and working with relational databases like PostgreSQL.
What you'll do: You will build and maintain integrations with security and observability tools while developing pipelines to ingest and transform security data. You will also collaborate with security engineers to ensure reliable data flows and…
What they ask for: The role requires experience in software development, testing, and debugging, along with familiarity with data engineering concepts and API management. Candidates should possess strong communication skills and the ability to investigate…
What you'll do: You will build end-to-end data and model pipelines, including sourcing, training, and validating datasets for production. Additionally, you will optimize model performance through compression, distributed training, and reinforcement…
What they ask for: Candidates must hold a Bachelor's degree in a technical field and possess up to 2 years of hands-on experience. Strong programming skills in Python, familiarity with modern ML stacks, and experience with containerized workflows are…
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: Collaborate with performance marketing teams to optimize campaigns and budgets using advanced data solutions like Marketing Mix Modeling and incrementality testing. Design and deploy machine learning models to improve targeting, bidding…
What they ask for: Requires extensive experience as a Data Scientist in a B2C performance marketing environment with strong proficiency in SQL and Python. Candidates should have a pragmatic problem-solving mindset and experience with experimentation, causal…
What you'll do: Collaborate with performance marketing teams to optimize campaigns and budgets using advanced data solutions and machine learning. Design and implement incrementality tests and Marketing Mix Modeling to quantify ROI and improve targeting…
What they ask for: Requires extensive experience as a Data Scientist in a B2C performance marketing environment with strong proficiency in SQL and Python. Candidates must possess an AI-driven mindset and expertise in experimentation, causal inference, and…
What you'll do: Lead the development and deployment of machine learning models to improve Receive product performance and mitigate fraud risk. Collaborate with cross-functional teams to translate business requirements into scalable data science solutions…
What they ask for: Requires a proven track record in deploying end-to-end machine learning models and strong proficiency in Python. Candidates should have experience with large datasets, data processing technologies, and a solid understanding of fraud…
What you'll do: Design and build robust, scalable software services and APIs to support scientific initiatives and data pipelines. Manage the full production lifecycle, including architectural design, deployment, and system observability.
What they ask for: Requires an MSc or equivalent experience in Computer Science or a related field with extensive experience in Python and distributed systems. Candidates must demonstrate proficiency in designing complex systems and possess strong…
What you'll do: You will build and operate high-throughput data ingestion pipelines and search systems for AI products. This involves managing the full lifecycle of data from source acquisition to serving queries while optimizing for performance and…
What they ask for: You must have strong proficiency in Python and SQL with extensive experience operating production data pipelines and search systems. A proven track record of diagnosing performance bottlenecks and managing large-scale datasets is essential.
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: You will maintain and scale the company's Bazel build infrastructure, Nix deployment platforms, and Kubernetes clusters. Additionally, you will manage AWS cloud infrastructure and collaborate with engineering teams to optimize system…
What they ask for: The role requires strong proficiency in Bazel, cloud infrastructure (AWS/GCP), and infrastructure-as-code tools like Terraform and Nix. Candidates must also have experience with embedded Linux, scalable production environments, and…
What you'll do: Design and implement full-stack product features while building and enhancing AI-powered capabilities. Collaborate with the team to integrate AI tooling into internal workflows and scale architectures for intelligent support agents.
What they ask for: Requires 1 to 4 years of experience in backend or AI engineering with a proven track record of shipping production systems. Proficiency in full-stack technologies like Next.js, React, TypeScript, and experience with AI model integration is…
