42 open jobs on The Stack list Data modeling as a key skill. They come from 28 companies in 15 countries, and 42 offer visa sponsorship. All were posted in the last 60 days.
This page lists jobs whose listing names Data modeling 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: Shaping the architecture of data products for analytics and data science, building reusable data pipelines, and collaborating with data scientists to refine data requirements and ensure data quality and governance.
What they ask for: Expert in batch and near real-time streaming data processing (Kafka, Spark); cloud-based big data platform experience (AWS); proficient in Python and SQL (Redshift/PostgreSQL) plus NoSQL; strong DevOps/CI/CD and infrastructure as code…
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 liaison with business unit leaders to understand KPIs and analytics needs, translate requirements into reporting solutions, and collaborate with engineers, data scientists, and architects to deliver BI and analytics; train users and…
What they ask for: Bachelor’s degree with typically 5 years of relevant experience or Master’s with typically 3 years, plus 1+ experience with BI Reporting Tools and ERP; strong communication and collaboration skills; able to thrive in a fast-paced…
What you'll do: Collaborate with stakeholders to translate requests into clear business problems, assess data availability, and transform raw data into clean datasets. Design data models, build MVP dashboards, and iterate based on user feedback while…
What they ask for: Degree in Maths, Economics, Statistics or related STEM field and at least 2 years of BI experience. Proficient in data visualization tools (Power BI, Tableau), data transformation, and data modeling; strong analytical and communication…
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: You will build and maintain robust data pipelines and models in BigQuery to support internal reporting, machine learning, and financial processes. Additionally, you will optimize data warehouse performance and costs while defining best…
What they ask for: Candidates should have experience with data modeling, ETL projects, and big data technologies. You must be proficient in SQL and comfortable with general data warehousing concepts.
What you'll do: You will design and build robust, scalable web platforms end-to-end using TypeScript and manage complex data pipelines. Additionally, you will be responsible for architecting geospatial visualizations and contributing to the product…
What they ask for: Candidates must have 7+ years of professional experience building SaaS products or data-heavy platforms with high proficiency in TypeScript and Node.js. Strong experience with Postgres, data warehouses, and geospatial data visualization is…
What you'll do: You will lead and develop teams of data engineers to design and deliver scalable data solutions for complex business challenges. You will also provide technical direction for data pipelines and infrastructure while collaborating with…
What they ask for: The role requires at least 4 years of data engineering experience and proven leadership capabilities in complex environments. Candidates must possess strong Python skills, experience with Apache Spark, and proficiency in cloud-based data…
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 collaborate with subject matter experts to define analytical problems and deliver data science and AI solutions for diverse client projects. This involves preparing and analyzing data, developing models, and presenting findings to…
What they ask for: Candidates must have hands-on experience in Python, SQL, and statistical modeling, along with a strong understanding of machine learning and large language models. A relevant degree or equivalent practical experience in a quantitative…
What you'll do: The role involves leading the end-to-end development of Power BI reporting solutions and dashboards to support operational and strategic decision-making. You will also establish reporting standards, provide user support, and ensure data…
What they ask for: Candidates should have solid experience in data manipulation, modeling, and Power BI visualization, along with the ability to lead workshops and engage with stakeholders. Strong technical expertise in data analysis and a commitment to best…
What you'll do: You will design, develop, and deploy enterprise-scale data platforms using the Microsoft Fabric ecosystem to support analytics and AI initiatives. This involves managing end-to-end data engineering workstreams, from ingestion and…
What they ask for: Candidates must have 6+ years of experience in data engineering with a strong focus on Azure and Microsoft Fabric implementations. Proficiency in SQL, Python, PySpark, and modern data architecture patterns like Medallion and Delta Lake is…
What you'll do: Develop and productionize large-scale machine learning models to optimize sponsored search, ad allocation, and user engagement. Collaborate cross-functionally with product and engineering teams to conduct A/B experiments and improve ad…
What they ask for: Requires expertise in machine learning techniques such as NLP, information retrieval, or deep learning with a track record of deploying production systems. Candidates must be able to write maintainable code and lead projects from design…
What you'll do: You will be responsible for the architecture, development, and quality of the department's data products. This includes designing scalable ELT pipelines, implementing data governance, and collaborating with cross-functional teams to ensure…
What they ask for: The ideal candidate has extensive experience with the Databricks ecosystem, Apache Spark, and building scalable data pipelines. You should also possess strong skills in cloud infrastructure, data modeling, and effective communication in…
What you'll do: You will own and scale the backend systems that power Granola's voice pipeline, agent harness, and integrations. You will work directly with users to shape product direction while ensuring high performance, reliability, and security of the…
What they ask for: You must have proven experience owning backend systems in production with deep knowledge of TypeScript, Node.js, and relational databases like Postgres. Strong familiarity with cloud infrastructure, specifically AWS and Terraform, is…
What you'll do: You will own the product strategy and roadmap for n8n's licensing, entitlements, and billing systems to ensure reliable revenue operations. You will lead cross-functional efforts to unify billing stacks and build scalable foundations for…
What they ask for: Candidates must have 6+ years of product experience with a focus on billing, licensing, or quote-to-cash systems in a B2B SaaS environment. You must demonstrate the ability to drive complex systems changes across finance, engineering, and…
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 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: Design, develop, and optimize analytical data models and machine learning workflows to support business intelligence and predictive analytics. Collaborate with stakeholders to translate complex data findings into actionable business…
What they ask for: Requires a university degree in a quantitative field and at least 3 years of experience in data science or BI, specifically within the FX industry. Candidates must demonstrate proficiency in SQL, Python, and Power BI, along with strong…
What you'll do: You will be responsible for hands-on data integration, engineering, and analysis across the infrastructure portfolio. This includes building repeatable pipelines, creating data models, and developing dashboards to support decision-making…
What they ask for: Candidates must hold a university degree in a relevant field and possess at least three years of experience in data integration and engineering. Proficiency in SQL, analytical languages, and business intelligence product development is…
What you'll do: You will design, build, and maintain data pipelines to integrate and reconcile information across a large infrastructure portfolio. Additionally, you will develop data models, dashboards, and analytical tools to provide actionable decision…
What they ask for: Candidates must hold a university degree in a relevant field and possess at least three years of experience in data integration and engineering. Proficiency in SQL, analytical languages, and experience in building business intelligence…
What you'll do: You will design, build, and maintain data pipelines to integrate and reconcile information across a large infrastructure portfolio. Additionally, you will develop data models, dashboards, and decision-support tools to replace manual…
What they ask for: Candidates must hold a university degree in a relevant field and possess at least three years of experience in data integration and engineering. Proficiency in SQL, analytical languages, and business intelligence product development is…
What you'll do: You will build and maintain high-throughput data pipelines for autonomous laboratory systems, integrating edge-to-cloud telemetry and hardware data. You will collaborate with researchers and engineers to create model-ready datasets and…
What they ask for: The role requires strong Python programming experience and a deep understanding of real-time data streaming and system architecture. Candidates should have experience with high-frequency data capture and a commitment to robust…
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: You will lead the data strategy for a large domain, identifying and solving complex business problems while influencing senior leadership. You will also mentor data scientists and establish best practices for experimentation, modeling, and…
What they ask for: The role requires an exceptional track record of leading complex, business-critical data science initiatives from strategy to execution. You must possess deep expertise in SQL and Python, along with the ability to communicate complex…
What you'll do: Design, build, and maintain reliable ETL/ELT pipelines using Spark and Databricks to support research workflows. Collaborate with cross-functional teams to define data engineering best practices and mentor junior engineers.
What they ask for: The role requires a seasoned Data Engineer with expertise in modern data stack tools like Spark and Delta Lake. Candidates should have a strong focus on scalability, performance tuning, and the ability to translate research workflows into…
What you'll do: You will design, build, and maintain scalable data pipelines to transform raw data into actionable insights and production-ready features. Additionally, you will collaborate with product and engineering teams to develop data products and…
What they ask for: The role requires strong software engineering fundamentals and proficiency in SQL and modern data technologies like Spark or BigQuery. Candidates should have experience in data modeling, pipeline orchestration, and the ability to translate…
What you'll do: The BI Data Engineer will design and maintain enterprise data warehouses and complex business intelligence solutions including data lakes and lakehouses. They are responsible for implementing ETL/ELT pipelines, ensuring data quality, and…
What they ask for: Candidates must have extensive knowledge of enterprise data warehouse design, dimensional modeling, and SQL. Proficiency in BI reporting tools, cloud architectures, and data governance practices is required, along with C1 level English…
What you'll do: You will own and evolve core dbt services, maintaining CI/CD infrastructure and driving performance improvements. Additionally, you will act as an engineering interface for the analytics community to improve data quality, governance, and…
What they ask for: The role requires strong proficiency in Python and SQL, with a proven track record of managing dbt at scale. You must possess excellent problem-solving skills and a community-oriented mindset to influence and support data practitioners.
What you'll do: You will own and evolve core dbt services, maintaining CI/CD infrastructure and driving performance improvements. Additionally, you will act as an engineering interface for the analytics community to improve data quality, governance, and…
What they ask for: The ideal candidate has strong Python and SQL skills with extensive experience managing dbt at scale. You should have a proven track record of improving data reliability and productivity while effectively influencing cross-functional teams.
What you'll do: You will design, build, and maintain data pipelines and models to integrate information across a large infrastructure portfolio. Additionally, you will create dashboards and analytical tools to provide decision support for programme…
What they ask for: Candidates must have a university degree in a relevant field and at least three years of experience in data integration and engineering. Proficiency in SQL, analytical languages, and experience in building business intelligence products…
What you'll do: You will design, build, and maintain data pipelines to integrate and reconcile information from various sources across the infrastructure portfolio. Additionally, you will develop dashboards, metrics, and data models to provide actionable…
What they ask for: Candidates must hold a university degree in a relevant field such as data science, computer science, or engineering. You are required to have at least three years of experience in data integration and engineering, along with hands-on…
What you'll do: You will design, build, and maintain data pipelines to integrate and reconcile information across a large infrastructure portfolio. Additionally, you will collaborate with stakeholders to develop data models, dashboards, and…
What they ask for: Candidates must have a university degree in a relevant field and at least three years of experience in data integration and engineering. Proficiency in SQL, analytical languages, and experience in building business intelligence products…
What you'll do: Develop and productionize large-scale machine learning models to optimize sponsored search, ad allocation, and user engagement. Collaborate cross-functionally with product managers and engineers to conduct A/B experiments and improve ad…
What they ask for: Requires a track record of applying statistical and machine learning techniques to real-world problems, with expertise in search, recommendations, or ads systems. Candidates must have experience training, deploying, and maintaining…
What you'll do: Own the analytics for the sales funnel, pipeline conversion, and GTM planning to improve forecasting and prioritization. Partner with RevOps and leadership to connect product-led growth signals to sales motions and standardize GTM metrics.
What they ask for: Requires 5+ years of GTM analytics experience in B2B SaaS with expert SQL skills and proficiency in a modern data stack (BigQuery, dbt). Must have deep experience with Salesforce and a proven ability to model sales territories, quotas, and…
What you'll do: The incumbent will lead the migration of UNICEF's data warehouse from legacy platforms to a modern lakehouse architecture using Databricks. Key tasks include architecture design, data mapping, transformation development, and implementing…
What they ask for: Candidates must hold an advanced university degree in a relevant field or a first-level degree with two additional years of experience. A minimum of 5 years of professional experience in ICT, Databricks, and data analytics is required.
What you'll do: You will define and evolve system architecture across backend, web, mobile, and infrastructure while leading the delivery of a secure financial product. Additionally, you will mentor engineers, set technical standards, and partner with…
What they ask for: Candidates must have 7–10 years of experience building consumer-facing products with strong backend foundations and system design expertise. Proficiency in Python, PostgreSQL, AWS, and modern cloud engineering practices is required, along…
What you'll do: Design and implement robust backend systems and APIs while managing end-to-end features from database design to frontend integration. Collaborate on technical architecture and participate in customer-facing support rotations to ensure…
What they ask for: Requires 3 or more years of full-stack experience with deep proficiency in TypeScript, Node.js, React, and PostgreSQL. Candidates must possess strong system design instincts and experience integrating AI/ML services into production…
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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