576 to 600 of 1,396 Permanent Databricks Jobs

roughly 75% analytics/25% data engineering) with a deep understanding of data platform architecture and data modeling. Tooling: Proficiency in SQL, Python, and Databricks is essential. Experience with Snowflake, Sigma, and dbt Cloud is highly preferred. Industry Context: Previous experience in Fintech (small to midsize) or regulated industries (gaming ...

scientific data into AI-native assets and scientific workflows that accelerate discovery, development, and manufacturing. TetraScience’s growing ecosystem of strategic partners includes NVIDIA, Databricks, Thermo Fisher Scientific, Snowflake, Google, and Microsoft. In connection with your candidacy, you will be asked to carefully review “The Tetra Way,” authored ...

with demonstrated experience in vector‐based data processing Experience leading global, distributed engineering teams through production system transformation Strong cloud data infrastructure background — AWS, Databricks, Kubernetes Cross‐team technical influence — demonstrated ability to facilitate constructive discussions around complex technical and organisational issues and drive architectural decisions across team boundaries Data ...

responsible approaches to using enterprise data for automation and insight. Experience with complementary data and MDM technologies such as Informatica, Collibra, Syniti, Microsoft Azure, Databricks, Snowflake or equivalent platforms. A strong external network, relevant certifications and a visible contribution to the SAP data community through industry perspectives, client innovation ...

Solid software engineering skills in Python, with an understanding of how to write maintainable, testable code Familiarity with ML tooling and platforms such as Databricks,MLflow, Airflow, or equivalent Familiarity with CI/CD pipelines and how they apply to ML systems An understanding of ML lifecycle challenges - versioning, testing ...

practicalities of quality, flow, and organisation of information. Bring experience in coding in Python and SQL Have solid experience of Snowflake and Azure DataBricks Have a good understanding of AI usage of data Have exposure to at least one cloud platform (AWS, Azure or GCP) and experience of associated technologies ...

analytics engineering fundamentals: Advanced SQL, Python, data modeling (star/snowflake, OBTs, SCDs), pipeline development (dbt, Airflow), and modern warehouse architecture (Snowflake, Databricks). These aren't resume keywords; they're tools you reach for daily You operate independently: You proactively identify what needs to be done, and drive ...

Advanced Python and SQL skills, with experience building modular, well‐tested and maintainable analytical code. Practical experience with cloud data platforms such as Snowflake, Databricks and/or Abacus. Excellent communication skills, with the ability to make complex methodologies and findings clear and meaningful to non‐technical audiences and senior ...

decisions and mentor other engineers. Experience building agents for high‐stakes or regulated decision‐making , working with data scientists on non-deterministic systems, using Databricks , or working within insurance would be useful, but these are nice‐to-haves rather than requirements. Core Values Love what you do: We show ...

capability. Powered by 600+ AI experts serving 50+ enterprise clients from 5 global locations, we work side‐by‐side with top partners, including Anthropic, Databricks, AWS, OpenAI, and Microsoft, to deliver modern AI with speed and measurable impact. The Opportunity Ready to tackle the most complex challenges in energy trading ...

process, for example by contributing to proposals, estimates or client presentations Nice to have Data platform experience, such as lakehouse design and migration on Databricks, Fabric or Snowflake, or an open table format stack like Delta or Iceberg Production applied AI experience, such as RAG pipelines, evaluation ...

Data Architecture. Expertise across key data domains including data modelling, pipelining, governance, and data consumption. Working knowledge with the likes of Databricks, Snowflake, Palantir etc Excellent communication and collaboration skills. Experience working in client facing environments and a proven track record in architecting complex data solutions. Experience leading technical teams ...

colleagues within machine learning engineering or software development teams Experience with cloud platforms such as AWS, Azure, or GCP, or ML platforms such as Databricks Exposure to evaluating LLM-based applications, including AI-as-a-judge approaches Experience with Generative AI techniques such as retrieval-augmented generation, fine-tuning ...

while contributing effectively within a cross-functional team. Nice to have Prior experience in a business-critical/high-uptime production environment Experience with Databricks Understanding of asynchronous programming, containerised deployments (Docker), and modern service architectures Hands-on experience with Infrastructure as Code, particularly Terraform Experience designing and building distributed ...

deploy our data platform and services using the below technologies: Python, pandas and SQL in Jupyter notebooks for analysis, and for scripting dbt and Databricks data platform with Delta Lake Lightdash as our BI tool and semantic layer Streamlit for interactive data applications Airflow/Orchestra for orchestration Kubernetes ...

early and obtain approval before implementation. Capture architecture decisions, exceptions and deviations in logs, plans and technical documentation. Technical Requirements: Strong Azure platform experience: Databricks, Azure Functions, IAM/RBAC, Storage Accounts, Networking, Virtual Machines, Key Vault, Monitoring and Alerting. Infrastructure as Code using Terraform. Azure DevOps Pipelines ...

Sales, to limited interactions with external customers. Write production and offline analytical code in Python. Work with distributed data pipelines in Spark/Databricks/GCP. Requirements A degree in computer science or a comparable analytical field. 3+ years of post-undergrad work experience required. Strong verbal and written communication ...

early and obtain approval before implementation. Capture architecture decisions, exceptions and deviations in logs, plans and technical documentation. Technical Requirements: Strong Azure platform experience: Databricks, Azure Functions, IAM/RBAC, Storage Accounts, Networking, Virtual Machines, Key Vault, Monitoring and Alerting. Infrastructure as Code using Terraform. Azure DevOps Pipelines ...

social impact datasets is desirable Knowledge of sustainability reporting methodologies and frameworks is desirable Strong stakeholder management and business partnering skills Familiarity with Databricks, SQL, Power Automate or similar data tools is desirable Strong analytical and problem-solving skills, with a data-driven approach to developing business solutions Ability ...

JPMorgan Chase. Sigma announced its $80M in Series E financing in May 2026. The round was led by Princeville Capital, with new strategic investors Databricks Ventures, ServiceNow Ventures, and Workday Ventures participating alongside returning investors Altimeter Capital, Avenir Growth Capital, D1 Capital Partners, K5 Global, NewView Capital, Spark Capital, Sutter ...

operations. You have hands-on experience building data pipelines and integrations using at least one enterprise data platform or technology, such as Snowflake, Databricks, BigQuery, Redshift, Kafka, cloud object storage, or an enterprise MDM platform. You are proficient in SQL and can build, debug, and optimize multi-table queries, joins ...

systemsAdvanced programming skills in PythonExperience with modern AI/ML frameworks and tooling (e.g., PyTorch, Hugging Face, LangChain, LangGraph , Haystack)Experience working with Databricks or similar distributed data/ML platformsStrong understanding of experimentation design, evaluation frameworks, and statistical analysisProficiency with data visualization and analytical tooling (e.g., Tableau, Power ...

Data Architecture. Expertise across key data domains including data modelling, pipelining, governance, and data consumption. Working knowledge with the likes of Databricks, Snowflake, Palantir etc Excellent communication and collaboration skills. Experience working in client facing environments and a proven track record in architecting complex data solutions. Experience leading technical teams ...

responsible approaches to using enterprise data for automation and insight. Experience with complementary data and MDM technologies such as Informatica, Collibra, Syniti, Microsoft Azure, Databricks, Snowflake or equivalent platforms. A strong external network, relevant certifications and a visible contribution to the SAP data community through industry perspectives, client innovation ...

Strong programming skills in Python Experience with modern AI/ML frameworks and tooling (e.g., PyTorch, Hugging Face, LangChain, LangGraph, Haystack) Experience working with Databricks or similar distributed data and machine learning platforms Understanding of experimentation methodologies, evaluation frameworks, and statistical analysis Proficiency with data visualization and analytical tooling (e.g. ...