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Azure Databricks Jobs in Seattle, WA (NOW HIRING)

The AES Group

Senior DevOps Engineer

Seattle, WA · Remote

$133K - $170K/yr

This is an exciting opportunity for a highly skilled DevOps professional with expertise in Terraform, Kubernetes, Python automation, and Azure cloud technologies, including Azure Databricks, to build ...

Wipro

TECHNOLOGY ARCHITECT L2

Bellevue, WA · On-site

... Azure databricks, Azure AI foundry and Azure ML Company : Wipro is a technology services and consulting company focused on building solutions that address clients' digital transformation needs.

Tata Consultancy Services

Azure Data Engineer

Bellevue, WA · On-site

$128K - $154K/yr

Required : • Microsoft Azure • PL/SQL • Azure Databricks • Fabric • Microsoft Power BI • Microsoft Power Platform • Cosmos • PySpark • Python • Microsoft Foundry • Build and ...

Staffingine LLC

Data Engineer

Redmond, WA · On-site

$128K - $154K/yr

Design, develop, and maintain scalable data pipelines using Azure Data Factory, PySpark, and Databricks. * Work with large-scale data lake and data warehouse solutions using Azure Synapse Analytics ...

Databricks

Sr. Product Manager, Databricks Repos

Seattle, WA · Remote

$144K - $190K/yr

RDQ427R130 At Databricks, we are passionate about enabling data teams to solve the world's toughest ... You will define how Repos integrates with GitHub, GitLab, and Azure DevOps to support branching ...

Zortech Solutions

MLOps Engineer

Bellevue, WA · Remote

... Azure Databricks / AWS Databricks, specializing in End-to-End MLOps architecture, with practical expertise in Databricks Unity Catalog, MosaicAI, serverless solutions, MLOps stacks, and Lakehouse ...

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All JobsAzure Databricks JobsAzure Databricks Jobs in Seattle, WA

Azure Databricks information

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$12

$66

$90

How much do azure databricks jobs pay per hour?

As of Jun 28, 2026, the average hourly pay for azure databricks in Seattle, WA is $66.46, according to ZipRecruiter salary data. Most workers in this role earn between $60.19 and $74.66 per hour, depending on experience, location, and employer.

Is Azure Databricks in demand?

Azure Databricks is a highly sought-after skill in data engineering and analytics roles due to its widespread adoption for big data processing and machine learning. Professionals with expertise in Spark, cloud platforms, and data pipelines using Azure Databricks are increasingly in demand across industries seeking scalable data solutions.

How much do Databricks employees make?

Azure Databricks employees' salaries vary based on role, experience, and location, but the average salary for data engineers and data scientists ranges from $100,000 to $150,000 annually. Entry-level positions typically start around $80,000, while senior roles can exceed $180,000. Compensation often includes benefits such as stock options and performance bonuses, especially for technical roles requiring expertise in cloud platforms and big data tools.

What does a typical day look like for someone working in an Azure Databricks role?

A typical day for an Azure Databricks professional involves designing, developing, and maintaining data pipelines, collaborating with data scientists and business analysts to transform raw data into actionable insights. You may spend time configuring Spark clusters, optimizing query performance, ensuring data security, and troubleshooting data workflow issues. Regular meetings with stakeholders and team members are common to align on project requirements and report progress. This role often offers a mix of independent technical work and team collaboration, making it both dynamic and engaging.

What are jobs in Azure Databricks?

Jobs in Azure Databricks refer to automated tasks or workflows that run data processing, analytics, or machine learning tasks on the platform. They are scheduled or triggered to execute notebooks, JAR files, or Python scripts, often requiring knowledge of Spark, Scala, or Python, and are managed through the Azure Databricks workspace. These jobs enable scalable data engineering and analytics operations for data teams.

What is an Azure Databricks job?

An Azure Databricks job is a way to run a notebook, JAR, Python script, or other workload in an automated or scheduled manner on an Azure Databricks cluster. Jobs allow users to orchestrate data processing, machine learning tasks, or ETL workflows efficiently. They can be triggered manually, on a schedule, or in response to events, enabling streamlined data pipeline management. Jobs also support multi-task workflows, allowing dependencies between different tasks.

What are the key skills and qualifications needed to thrive in the Azure Databricks position, and why are they important?

To thrive as an Azure Databricks professional, you need expertise in big data analytics, data engineering, and proficiency with SQL, Python, and Apache Spark, typically supported by a degree in computer science or a related field. Familiarity with the Azure cloud ecosystem, Databricks platform tools, and advantageous certifications like Azure Data Engineer Associate are highly valuable. Strong problem-solving skills, collaboration, and the ability to communicate technical concepts clearly help set you apart in this role. These abilities are crucial for designing and optimizing scalable data solutions and effectively working within cross-functional data teams.

Are Databricks skills in demand?

Azure Databricks skills are highly in demand as organizations seek professionals proficient in cloud-based data analytics, big data processing, and machine learning. Knowledge of Spark, Python, and data engineering concepts enhances job prospects in roles such as data engineer, data scientist, and analytics engineer.
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Azure Databricks jobs near you
AIA COMMS - Azure Architect

AIA COMMS - Azure Architect

Avani Technology Solutions, Inc.

Seattle, WA • On-site

$72.25 - $94.25/hr

Contractor

Posted 27 days ago

Job description

1.Job title COGNIZANT IS LOOKING FOR AZURE ARCHITECT 2.Job summary - Design architect lead and build Proof of Concepts in Azure. - Work closely with a team of architects engineers and developers to create functional design specifications. - Lead and develop best practices for Data Operations / AI Ops teams - Build Telecom Ontolgy / Quantum Ontology - Define work intake process for Data DevOps for their application development and data Quantum related new intakes. 3.Experience 10to12yrs 4.Required Skills Technical Skills- Azure Data Factory Azure Machine Learning Azure Databricks Domain Skills- 5.Nice to have skills Techincal Skills- Domain Skills- 6.Technology MIMICR888888 7.Shift Day 9AM TO 6PM EST 8.Roles & Responsibilities Project Manager Bachelors in science engineering or equivalent.Plan monitor and execute a project(s) by leading the project team WITH the objective of delivering project as per time cost and quality parameters WITHIN the pre-defined guidelines and norms of the contract.Account Mining- Understand Pricing models (FB/T&M) Identify & provide Inputs to Program Manager on new opportunities Account Operations- 1. Responsible for the operational parameters i.e. continuously monitor and review operational metrics which impact the bottom-line e.g. pyramid size utilization etc. for the project to ensure margins are met 2. Raise invoices in coordination with the account managers as and when due 3. Submit monthly budget plans and seek approvals required in case of any deviations 4. Raise Service Order &validate Resource requirement in internal system 5. Share project level forecasts - as accurately as possible Opportunity Identification and Pursuit- Identify areas of value-add in the current Project which can be taken up for account mining Support opportunity pursuit when requested (e.g. differentiators estimates underlying risks scope etc.) Submit draft proposal for review to the Program Delivery Manager. Contracting- Build an understanding of the MSA structure Prepare or validate the SOW / work orders inclusive of scope and milestones acceptance criteria for the Project Negotiate on resources time scope milestones within the scope of the Project. Program Setup- 1. Project Planning: Create Project plan including aspects such as Cost Schedule Scope Requirements Risk Quality Communication & Stakeholder management Effort Estimation Resource Planning Seek review comments from Program / Portfolio Manager and customer (as required) 2. Risk Management: Identify raise flags and device mitigation plans during project onset and during the course of the project Seek approvals for action plans as required 3. Review and Communication Governance: Establ 9.Job Location Primary: USWASELC01-Seattle - WA USA CLT Alternate: 10.Job Type 45CW00 Business Associate 11.Demand Requires Travel? N 12.Certification(s) Required NA
Hours : 8:00am to 5:00pm
Education :
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