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Azure Data Engineer Jobs in Seattle, WA (NOW HIRING)

Tata Consultancy Services

Azure Data Engineer

Bellevue, WA · On-site

$128K - $154K/yr

Tata Consultancy Services is a leading IT services provider, and they are seeking an Azure Data Engineer. The role involves designing data architectures, managing data pipelines, and ensuring data ...

Tata Consultancy Services

Azure Data Engineer

Bellevue, WA · On-site

$128K - $154K/yr

They are seeking an Azure Data Engineer to build and maintain data ingestion pipelines, ensuring data quality and governance while collaborating with stakeholders to deliver high-quality datasets.

Staffingine LLC

Data Engineer

Bellevue, WA · On-site

$129K - $155K/yr

Data Engineer Location: Bellevue, WA Job Type: Onsite/Remote: Hybrid * Experience in Synapse with ... Working Knowledge of Azure Data factory, Azure Data Lake, and Azure Data lake storage * Hands-on in ...

Staffingine LLC

Data Engineer

Redmond, WA · On-site

$128K - $154K/yr

Data Engineer Job Location: Redmond WA Job Type: Contract ... Design, develop, and maintain scalable data pipelines using Azure Data Factory, PySpark, and ...

Noblesoft Technologies

Data Engineer

Seattle, WA · Remote

$117K - $140K/yr

Senior Data Engineer Location: Remote JD: Key Responsibilities • Design and implement ETL ... and Azure Data Factory. • Build and maintain a metadata-driven Lakehouse architecture with ...

Staffingine LLC

Data Engineer

Bellevue, WA · On-site

$129K - $155K/yr

Data Engineer Job Location: Bellevue - Washington Job Type: Contract to Hire ... Design build and maintain robust scalable and efficient data pipelines using tools such as Azure ...

Brillio

Lead Data Engineer - R01568940

Seattle, WA

$130K - $156K/yr

Azure Data Engineering Advanced: Senior Data Engineer Job requirements * Data Engineer: Turn 10 Studios is looking for a Data Engineer to join the Data Pipeline team. As a member of the team, you ...

Zortech Solutions

Data Engineer

Bellevue, WA · On-site

$129K - $155K/yr

Knowledge of Azure Data Factory ADLS * Individuals with strong technical background in SQL SQL Server data engineering BI Kusto Data Analysis * and strong knowledge of Data Warehousing Concepts

Noblesoft Technologies

Data Engineer

Bellevue, WA · Remote

$117K - $140K/yr

Data Engineer Location: Bellevue, WA. (Remote) Mandatory Skills: Vectr and Cribl 8+ years of ... Design and develop ETL/ELT pipelines using Azure Data Factory (ADF) and Databricks (PySpark)

Pwc

Data Engineer - Manager

Seattle, WA

... Azure Data Engineer Associate, or Snowflake Core, Snowflake Databricks Data Engineer Associate] is a plus - Designing and implementing thorough data architecture strategies that meet the current and ...

Dlapiper

Data Engineer

Seattle, WA

$130K - $156K/yr

Together. Summary The Data Engineer, Solutions & Data role designs, builds, and operates data ... Design and implement data pipelines using Azure data technologies (e.g., Azure Data Factory, Azure ...

Goli Tech

Azure Databricks Architect / SME

Bellevue, WA · On-site

$71.75 - $93.50/hr

Integrate Azure Databricks with other Azure services eg Azure Data Lake Azure Synapse Azure Data ... Provide technical leadership and mentorship to the data engineering team fostering a culture of ...

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All JobsAzure Data Engineer JobsAzure Data Engineer Jobs in Seattle, WA

Azure Data Engineer information

See Seattle, WA salary details

$50.6K

$147.6K

$202K

How much do azure data engineer jobs pay per year?

As of Jul 26, 2026, the average yearly pay for azure data engineer in Seattle, WA is $147,618.00, according to ZipRecruiter salary data. Most workers in this role earn between $130,300.00 and $156,500.00 per year, depending on experience, location, and employer.

What is the difference between Azure Data Engineer vs Data Analyst?

AspectAzure Data EngineerData Analyst
Required CredentialsAzure certifications, SQL, Python, cloud skillsData analysis certifications, SQL, Excel, BI tools
Work EnvironmentCloud platforms, data pipelines, big data toolsData visualization, reporting, business insights
Industry UsageTech, finance, healthcare, retailMarketing, finance, healthcare, retail

Azure Data Engineers focus on building and maintaining data pipelines in cloud environments, utilizing tools like Azure Data Factory and SQL. Data Analysts interpret data to generate reports and insights, often using Excel and BI tools. While both roles work with data, Azure Data Engineers handle data infrastructure, whereas Data Analysts focus on data interpretation and visualization.

What are the key skills and qualifications needed to thrive as an Azure Data Engineer, and why are they important?

To thrive as an Azure Data Engineer, you need proficiency in data modeling, SQL, ETL processes, and a solid understanding of cloud computing concepts, typically supported by a degree in computer science or a related field. Familiarity with Microsoft Azure services (such as Azure Data Factory, Azure Synapse Analytics, and Azure Databricks), and relevant certifications like Microsoft Certified: Azure Data Engineer Associate, are highly valuable. Strong problem-solving skills, effective communication, and adaptability help you collaborate across teams and respond to evolving project needs. These skills are crucial for designing robust data solutions that support business intelligence and decision-making in cloud environments.

What are some common challenges Azure Data Engineers face when integrating data from multiple sources?

Azure Data Engineers often encounter challenges when consolidating data from diverse sources such as on-premises databases, cloud storage, and third-party applications. Issues like data format inconsistencies, varying data quality, and synchronization timing can complicate the integration process. Leveraging Azure services like Data Factory and Synapse Analytics helps automate and streamline these tasks, but careful planning and robust data validation are essential. Collaboration with business analysts and data architects is also crucial to ensure the integrated data meets organizational requirements.

What are Azure Data Engineers?

Azure Data Engineers are IT professionals who design, implement, and manage data solutions using Microsoft Azure cloud services. They are responsible for building data pipelines, integrating diverse data sources, and ensuring data is stored securely and efficiently. These engineers work with tools like Azure Data Factory, Azure Databricks, and Azure Synapse Analytics to process, transform, and analyze large volumes of data. Their main goal is to provide reliable data infrastructure to support business intelligence and analytics needs.
What are the most commonly searched types of Azure Data Engineer jobs in Seattle, WA? The most popular types of Azure Data Engineer jobs in Seattle, WA are:
What are popular job titles related to Azure Data Engineer jobs in Seattle, WA? For Azure Data Engineer jobs in Seattle, WA, the most frequently searched job titles are:
What job categories do people searching Azure Data Engineer jobs in Seattle, WA look for? The top searched job categories for Azure Data Engineer jobs in Seattle, WA are:
What cities near Seattle, WA are hiring for Azure Data Engineer jobs? Cities near Seattle, WA with the most Azure Data Engineer job openings:
Azure Data Engineer jobs near you
Infographic showing various Azure Data Engineer job openings in Seattle, WA as of July 2026, with employment types broken down into 43% Full Time, and 57% Contract. Highlights an 100% In-person job distribution, with an average salary of $147,618 per year, or $71 per hour.
Azure Data Engineer

Azure Data Engineer

Tata Consultancy Services

Bellevue, WA • On-site

$128K - $154K/yr

Full-time

Posted 3 days ago

Tata Consultancy Services rating

6.5

Company rating: 6.5 out of 10

Based on 21 frontline employees who took The Breakroom Quiz

176th of 230 rated it services

Job description

Job Summary:
Tata Consultancy Services is a leading IT services provider, and they are seeking an Azure Data Engineer. The role involves designing data architectures, managing data pipelines, and ensuring data quality for enterprise-scale analytics.
Responsibilities:
• Work across Fabric workloads: COSMSO, Kusto, Data Factory (ETL), Synapse Data Engineering (Spark/SQL), Synapse Data Warehousing (SQL), and OneLake for storage.
• Design data loading patterns, Lakehouse architectures, and orchestration processes for enterprise-scale analytics.
• Prepare and enrich data for analysis, ensuring data quality and consistency checks.
• Implement semantic models for BI and self-service analytics.
• Secure and manage analytics assets, enforce governance policies, and monitor compliance and Managed Identity.
• Monitor and optimize Data pipelines and workloads for cost efficiency and high availability.
• Work closely with architects, analysts, and business teams to translate requirements into scalable solutions.
• Enable Power BI integration for visualization and reporting.
• Build and manage data pipelines using COSMOS, Azure Data Factory (ADF), Synapse, Fabric pipelines for batch and incremental ingestion.
• Automate ETL workflows and implement parameterized pipelines for scalability.
• Develop ETL code / pipelines to clean, transform, and convert raw files into optimized formats (Parquet/Delta).
• Create views, stored procedures, and dimensional models for reporting and analytics.
• Monitor Dynamic Management Views (DMVs) in Synapse to analyze system health and reduce bottlenecks.
• Implement workload management strategies for query performance and resource governance.
• Apply role-based authentication, encryption/decryption logic, and compliance controls.
• Automate governance tasks to reduce manual intervention.
• Build failure monitoring systems integrated with Logic Apps for alerting and proactive issue resolution.
• Strong in Azure Data Services ADF, Azure SQL database, Synapse.
• Ability to understand vast amounts of data, identify and fix data issues.
• Strong in database and DW concepts, Excellent technical & analytical skills with strong business acumen.
• Strong communication skills.
Qualifications:
Required:
• 8 - 10 Years of experience
• Strong in Azure Data Services ADF, Azure SQL database, Synapse
• Must have Microsoft Azure Cloud and services experience
• Strong in database and DW concepts
• Excellent technical & analytical skills with strong business acumen
• Strong communication skills
• Skills in Data Analytics, SQL Server, Microsoft Azure
• Experience with Synapse, SQL Server, Python, Azure Storage, ADF, Cosmos, Kusto, Digital: PySpark, Fabric, Data Engineering, Data Warehouse
• Ability to understand vast amounts of data, identify and fix data issues
• Design data loading patterns, Lakehouse architectures, and orchestration processes for enterprise-scale analytics
• Prepare and enrich data for analysis, ensuring data quality and consistency checks
• Implement semantic models for BI and self-service analytics
• Secure and manage analytics assets, enforce governance policies, and monitor compliance and Managed Identity
• Monitor and optimize Data pipelines and workloads for cost efficiency and high availability
• Work closely with architects, analysts, and business teams to translate requirements into scalable solutions
• Enable Power BI integration for visualization and reporting
• Build and manage data pipelines using COSMOS, Azure Data Factory (ADF), Synapse, Fabric pipelines for batch and incremental ingestion
• Automate ETL workflows and implement parameterized pipelines for scalability
• Develop ETL code / pipelines to clean, transform, and convert raw files into optimized formats (Parquet/Delta)
• Create views, stored procedures, and dimensional models for reporting and analytics
• Monitor Dynamic Management Views (DMVs) in Synapse to analyze system health and reduce bottlenecks
• Implement workload management strategies for query performance and resource governance
• Apply role-based authentication, encryption/decryption logic, and compliance controls
• Automate governance tasks to reduce manual intervention
• Build failure monitoring systems integrated with Logic Apps for alerting and proactive issue resolution
Company:
Tata Consultancy Services (TCS) is the technology partner of choice for industry leading organizations worldwide. Founded in 1992, the company is headquartered in Puteaux, FRA, with a team of 10001+ employees. The company is currently Late Stage.

What Tata Consultancy Services employees say

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Hours and flexibility

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About Tata Consultancy Services

Sourced by ZipRecruiter

Tata Consultancy Services is an IT services, consulting and business solutions organization that delivers real results to global business, ensuring a level of certainty no other firm can match. TCS offers a consulting-led, integrated portfolio of IT, BPO, infrastructure, engineering, and assurance services. This is delivered through its unique Global Network Delivery Model™, recognized as the benchmark of excellence in software development. TCS delivers a level of certainty that no other firm can match--to our clients and to our employees. Come join us and experience certainty in your career. TCS a global Consulting and IT Services firm that is ranked in the top quartile by industry analysts. Our 2021 fiscal revenues topped $25 B and our market capitalization is over $170+B, yet we have a deep and large history of philanthropy and corporate social responsibility. Now approaching 600K of the best IT professionals and consultants, we are a trusted advisor, guiding our clients' enterprises through growth and transformation journeys - helping them to become agile, intelligent, automated and on the cloud. We are devoted to DEI and are recognized as a top employer and place to work.

Industry

It services

Company size

10,000+ Employees

Headquarters location

Edison, NJ, US

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