51 to 75 of 197 Remote Databricks Jobs

Elastic Net GLMs, GAMs, Decision Trees, Random Forests, Neural Nets and Clustering Experience in DevOps and Azure ML, or other MLOps and ML Lifecycle technology stacks, such as AWS, Databricks, Google Cloud, etc. Experience with deploying services in Docker and Kubernetes Experience in creating production grade coding and SOLID programming principles, including test-driven development (TDD) approaches Experience in programming More ❯

Elastic Net GLMs, GAMs, Decision Trees, Random Forests, Neural Nets and Clustering Experience in DevOps and Azure ML, or other MLOps and ML Lifecycle technology stacks, such as AWS, Databricks, Google Cloud, etc. Experience with deploying services in Docker and Kubernetes Experience in creating production grade coding and SOLID programming principles, including test-driven development (TDD) approaches Experience in programming More ❯

optimization and distributed SQL processing. Proficiency in working with Parquet Files for efficient data storage and retrieval. Hands-on experience with Airflow for orchestrating complex data workflows. Familiarity with Databricks Medallion model. Familiarity with OpenMetaData for metadata management and data governance. Experience working with streaming and batch data processing frameworks is a plus. Due to US Government Contract Requirements, only More ❯

Pittsburgh, PA. What Youll Do This is a full stack data science opportunity that will get to work with some of the latest technologies in the Azure Cloud including Databricks, Azure Machine Learning, and Cognitive Services. You will have the opportunity to drive the full data science lifecycle from strategy to data preparation and algorithm development to communicating the answer More ❯

to learn. Technical Skills: Degree or equivalent experience in data science, analytics, or a related field. Proven experience of creating and maintaining data pipelines. Experience of Advanced Excel, Azure Databricks, Advanced SQL, working knowledge of PowerBI, and exposure to GIS. GDPR awareness and compliance. Desirable: Understanding and exposure to databases, interfaces, business systems and work force management solutions Knowledge of More ❯

Notebooks, Power BI). Lead and manage the QA effort across multiple agile teams. Drive the development and maintenance of automated testing for: 1-PySpark notebooks in Fabric/Databricks 2-Data pipelines and transformations 3-Delta tables and lakehouse validation Embed testing into CI/CD pipelines (Azure DevOps or GitHub Actions). Ensure quality gates are enforced through More ❯

problems we can help solve together. Knowledge & experience needed: Excellent ability in R or Python, to write clear, logical, documented code as data solutions Experience working with Azure (Cloud), Databricks Experience working with real-world data, including spatial data Understanding of data product development frameworks Highly numerate with excellent analytical and problem-solving skills, including experience of analysing and accurately More ❯

lead data role and then into a management Very strong technical skills that will include - SQL, SSIS, SSRS, SAS - Power BI, Power Platform - Azure Data Factory, Azure Data Lake, Databricks A good understanding of dimensional modelling techniques, including Kimball's Business Development Lifecycle Ability to design hybrid data solutions across on-prem and cloud data sources Expert with data engineering More ❯

into a management (mentoring, coaching, team development etc) Very strong technical skills that will include - SQL, SSIS, SSRS, SAS, Power BI, Power Platform, Azure Data Factory, Azure Data Lake, Databricks A good understanding of dimensional modelling techniques, including Kimball's Business Development Lifecycle Ability to design hybrid data solutions across on-prem and cloud data sources Expert with data engineering More ❯

closely with the data science team to integrate modelling approaches and techniques Key Skills and Experience: Previous experience as a DevOps/MLOps engineer Experience in Azure ML or databricks, or similar industry approved technology stack (i.e. AWS, Kubernetes and Docker, Google Cloud) Understanding of machine learning models and the modelling process, from data ingestion and cleaning to deployment and More ❯

closely with the data science team to integrate modelling approaches and techniques Key Skills and Experience: Previous experience as a DevOps/MLOps engineer Experience in Azure ML or databricks, or similar industry approved technology stack (i.e. AWS, Kubernetes and Docker, Google Cloud) Understanding of machine learning models and the modelling process, from data ingestion and cleaning to deployment and More ❯

identify risks, without prompting Proficient at communicating results in a concise manner both verbally and written Desirable Hands-on experience in the cloud platform and tools (i.e. Azure, AWS, Databricks) Insurance or financial services experience Knowledge and awareness of the latest tools, techniques and technology across the analytics marketplace Behaviours: Team player Self-motivated with a drive to learn and More ❯

identify risks, without prompting Proficient at communicating results in a concise manner both verbally and written Desirable Hands-on experience in the cloud platform and tools (i.e. Azure, AWS, Databricks) Insurance or financial services experience Knowledge and awareness of the latest tools, techniques and technology across the analytics marketplace Behaviours: Team player Self-motivated with a drive to learn and More ❯

projects involving data transformation and loading into Databricks. Strong understanding of data pipeline architectures and best practices. Proficiency in programming languages such as Python, SQL, or Scala. Experience with Databricks and related tools and technologies. Excellent problem-solving and analytical skills. Strong communication and collaboration abilities. Preferred Skills: Experience with cloud-based data platforms (e.g., AWS, Azure, Google Cloud). More ❯

Strong proficiency in SQL scripting, including writing and executing complex queries. Hands-on experience with structured and unstructured data testing. Good understanding of Azure data services , including Data Factory, Databricks, Synapse (Azure SQL DW), Cosmos DB, and Azure Data Lake. Knowledge of data testing concepts and best practices within data warehouse environments. Hands-on experience with Python/PySpark scripting More ❯

including 4+ years in pre-sales/solutioning. Banking transformation expertise (regulatory reporting, finance/data modernisation). Strong cloud/data architecture skills (Azure/AWS/GCP, Databricks, Snowflake, Synapse). Data governance expertise and RFP/RFI leadership. Why apply? Senior, strategic role with real influence. Opportunity to lead major banking transformation initiatives. Excellent package and hybrid More ❯

including 4+ years in pre-sales/solutioning. Banking transformation expertise (regulatory reporting, finance/data modernisation). Strong cloud/data architecture skills (Azure/AWS/GCP, Databricks, Snowflake, Synapse). Data governance expertise and RFP/RFI leadership. Why apply? Senior, strategic role with real influence. Opportunity to lead major banking transformation initiatives. Excellent package and hybrid More ❯

GCP/BigQuery (or similar cloud platforms). Education: Degree in Investments, Accounting, Actuarial Science, or related discipline from a UK university. Nice to Have Experience with dbt or Databricks . Background in life insurance, reinsurance, or large-scale investment projects. Interview Process Stage 1: Initial 20-30 min screening call (CV and experience overview). Stage 2: 1-hour More ❯

warehouses). Desirable Awareness of cloud-based platforms (eg, Azure) and their implications for data and application strategy. Familiarity with data warehousing solutions or modern analytics stacks (eg, Snowflake, Databricks). Understanding of information security best practices and regulatory frameworks (eg, GDPR, ISO 27001). Knowledge of ITIL practices or service management frameworks. Your Experience We are looking for someone More ❯

warehousing, facts, dimensions, and star schema concepts and terminology Strong proficiency with SQL Server, T-SQL, SSIS, stored procedures, ELT processes, scripts, and complex queries Working knowledge of Azure Databricks, Delta Lake, Synapse and Python Experience with evaluating implemented data systems for variances, discrepancies, and efficiency Experience with Azure DevOps and Agile/Scrum development methods Auditing databases to maintain More ❯

repositories. Proven ability to manage secure, high-performance database environments. Excellent communication and cross-functional collaboration skills. A passion for continuous learning and innovation. Desirable: AzureSynapse/Sharedo/Databricks Python/Flink/Kafka technology If you are interested in this Senior Database Developer position and have the relevant skills and experience required, please apply now! Red Recruitment (Agency More ❯

teams through complex transformation programmes. Shape enterprise data strategies, governance frameworks, and operating models. Engage in high-level conversations around AI, GenAI, and modern data platforms like Snowflake and Databricks - you don't need to be a deep technical SME, but you'll need to understand the landscape. Drive client growth by identifying opportunities, building relationships, and offering the right More ❯

teams through complex transformation programmes. Shape enterprise data strategies, governance frameworks, and operating models. Engage in high-level conversations around AI, GenAI, and modern data platforms like Snowflake and Databricks - you don't need to be a deep technical SME, but you'll need to understand the landscape. Drive client growth by identifying opportunities, building relationships, and offering the right More ❯

teams through complex transformation programmes. Shape enterprise data strategies, governance frameworks, and operating models. Engage in high-level conversations around AI, GenAI, and modern data platforms like Snowflake and Databricks - you don't need to be a deep technical SME, but you'll need to understand the landscape. Drive client growth by identifying opportunities, building relationships, and offering the right More ❯

new technologies Experience in startups or top-tier consultancies is a plus Nice to Have (not essential): Familiarity with dashboarding tools, Typescript, and API development Exposure to Airflow, DBT, Databricks Experience with ERP (e.g. SAP, Oracle) and CRM systems What's On Offer: Salary: £50,000-£75,000 + share options Hybrid working: 2-3 days per week in a More ❯