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Azure Data Jobs in Washington (NOW HIRING)

System One

HR Data Analytics

Merrifield, VA · Remote

This role is a blend of Data Governance, Data Stewardship, Data Quality Management, Metadata & Lineage Management, Azure Data Warehousing, HR Data Analytics and Security & Compliance. The Technical ...

Dlapiper

Data Engineer

Washington, DC · On-site

$129K - $155K/yr

Design and implement data pipelines using Azure data technologies (e.g., Azure Data Factory, Azure Databricks, Azure Event Hubs, SSIS) to ingest, process, and deliver data from sources such as APIs ...

DLA Piper

Data Engineer

Reston, VA · On-site

$119K - $143K/yr

Design and implement data pipelines using Azure data technologies (e.g., Azure Data Factory, Azure Databricks, Azure Event Hubs, SSIS) to ingest, process, and deliver data from sources such as APIs ...

Dlapiper

Data Engineer

Reston, VA · On-site

$119K - $143K/yr

Design and implement data pipelines using Azure data technologies (e.g., Azure Data Factory, Azure Databricks, Azure Event Hubs, SSIS) to ingest, process, and deliver data from sources such as APIs ...

Phase2 Technology

Data Architect

Springfield, VA · On-site

$99 - $225/hr

In this role, you'll share your technical expertise, introduce best practices, and use tools like Azure Data Factory to ingest large amounts of data from multiple data sources. You'll lead your team ...

Booz Allen Hamilton

Data Architect

Springfield, VA · On-site

$99 - $225/hr

In this role, you'll share your technical expertise, introduce best practices, and use tools like Azure Data Factory to ingest large amounts of data from multiple data sources. You'll lead your team ...

Accenture Federal Services

Data Engineer

Washington, DC · On-site

$129K - $155K/yr

AWS Glue, Google Cloud Dataflow, Azure Data Factory) * Experience with Cloud data warehousing technologies (e.g. Amazon Redshift, Google BigQuery, Snowflake) * Experience with Python, SQL, Spark, and ...

Accenture Federal Services

Data Engineer

Washington, DC · On-site

$129K - $155K/yr

AWS Glue, Google Cloud Dataflow, Azure Data Factory) * Experience with Cloud data warehousing technologies (e.g. Amazon Redshift, Google BigQuery, Snowflake) * Experience with Python, SQL, Spark, and ...

Stock Group Analytics

Data Analysis SME

Washington, DC · On-site

$120 - $180/hr

Develop and maintain Extract-Transform-Load (ETL) processes using SQL, Python, or Azure Data Factory * Transition existing reports and dashboards from legacy tools (Tableau, Excel) to Power BI

Cloudforce

Cloud Engineer - Data

National Harbor, MD · On-site

$100K - $140K/yr

Job Title: Cloud Solutions Engineer - Data (Azure/Fabric) Location: National Harbor, MD (Hybrid) Type: Full Time Compensation: $100,000 to $140,000 Annually, subject to experience - plus a ...

Cloudforce

Cloud Engineer - Data

National Harbor, MD

$100K - $140K/yr

Job Title: Cloud Solutions Engineer - Data (Azure/Fabric) Location: National Harbor, MD (Hybrid) Type: Full Time Compensation: $100,000 to $140,000 Annually, subject to experience - plus a ...

Cloudforce

Cloud Engineer - Data

National Harbor, MD · On-site

$100K - $140K/yr

Job Title: Cloud Solutions Engineer - Data (Azure/Fabric) Location: National Harbor, MD (Hybrid) Type: Full Time Compensation: $100,000 to $140,000 Annually, subject to experience - plus a ...

Jobtailor

Data Engineer

Vienna, VA · On-site

$130 - $180/hr

Build, optimize, and maintain batch and real-time data ingestion pipelines, including ETL/ELT ... Azure Blob #J-18808-Ljbffr

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All JobsAzure Data JobsAzure Data Jobs in Washington

Azure Data information

See Washington salary details

$12

$66

$90

How much do azure data jobs pay per hour?

As of Sep 6, 2026, the average hourly pay for azure data in Washington is $66.15, according to ZipRecruiter salary data. Most workers in this role earn between $59.90 and $74.33 per hour, depending on experience, location, and employer.

What is an Azure Data job?

Azure Data jobs refer to roles that focus on managing, analyzing, and securing data using Microsoft's Azure cloud platform. These positions can include data engineers, data analysts, database administrators, and data architects who work with Azure services like Azure SQL Database, Azure Data Lake, and Azure Synapse Analytics. Responsibilities often involve designing data solutions, building data pipelines, ensuring data quality, and implementing security best practices on Azure. Professionals in Azure Data roles help organizations leverage cloud-based data technologies to gain insights, optimize operations, and support business decision-making.

How does an Azure Data professional typically collaborate with other teams within an organization?

Azure Data professionals frequently work alongside data engineers, business analysts, developers, and IT administrators to ensure that data solutions are robust, scalable, and meet business needs. They often participate in cross-functional meetings to understand requirements, troubleshoot issues, and optimize data pipelines. Effective communication is key, as they translate technical concepts for non-technical stakeholders and provide guidance on best practices for data storage, processing, and security within Azure environments.

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

To thrive as an Azure Data professional, you need expertise in data modeling, SQL, and cloud data architecture, typically supported by a degree in computer science or a related field. Familiarity with Microsoft Azure services (such as Azure SQL Database, Data Factory, Synapse Analytics), and certifications like Microsoft Certified: Azure Data Engineer Associate are highly valued. Strong problem-solving, analytical thinking, and effective communication skills help you excel in cross-functional teams and translate business requirements into technical solutions. These competencies ensure data solutions are robust, scalable, and aligned with organizational goals in a rapidly evolving cloud environment.

What is the difference between Azure Data vs Data Engineer?

AspectAzure DataData Engineer
CertificationsAzure Data Engineer Associate, Azure FundamentalsGoogle Cloud Professional Data Engineer, AWS Certified Data Analytics
Work EnvironmentPrimarily cloud-based, using Azure platformCloud, on-premises, or hybrid environments
Industry UsageOrganizations leveraging Azure cloud servicesOrganizations managing large-scale data pipelines and storage
Common Search IntentAzure Data roles, Azure Data solutionsData pipeline development, data architecture

Azure Data professionals focus on managing data within the Azure cloud ecosystem, utilizing Azure-specific tools and services. Data Engineers have a broader scope, designing and building data pipelines across various platforms, including Azure, AWS, or on-premises systems. While Azure Data roles are specialized for Azure environments, Data Engineers work across multiple cloud providers and on-premises setups, making their roles more versatile in data infrastructure development.

What are popular job titles related to Azure Data jobs in Washington?

For Azure Data jobs in Washington, the most frequently searched job titles are:

What job categories do people searching Azure Data jobs in Washington look for?

The top searched job categories for Azure Data jobs in Washington are:

What cities in Washington are hiring for Azure Data jobs?

Cities in Washington with the most Azure Data job openings:

Azure Data jobs near you
Infographic showing various Azure Data job openings in Washington as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 11% Part Time, and 4% Contract. Highlights an 85% Physical, 3% Hybrid, and 12% Remote job distribution, with an average salary of $137,584 per year, or $66.1 per hour.

HR Data Analytics

System One

Merrifield, VA • Remote

Contractor

Re-posted 21 days ago

Job description

Job Title: HR Technical Data Steward Location: Remote Pay Rate: Open to both W2 and established 1099 options Position Type: Multiyear Contract (candidates must live in the US) We are looking for candidates with 5–10 years of experience in Data Governance, Data Stewardship, or Data Management, with hands-on experience supporting HR data environments, strong knowledge of Oracle HCM or PeopleSoft, experience with Azure data platforms, and expertise in metadata management, data quality, lineage, security controls, and enterprise data governance frameworks. Candidates should be comfortable partnering with both technical and business stakeholders to ensure trusted, secure, and well-governed HR data across the organization. The Technical Data Steward (HR Data Analytics) is responsible for the governance, quality, security, metadata management, and technical oversight of HR data within an Azure-based data warehouse environment. This role acts as the technical authority for HR data assets, ensuring that data is properly defined, cataloged, secured, governed, and available for reporting, analytics, AI initiatives, and business decision-making. The position serves as a bridge between HR business teams, Data Governance, Data Engineering, Information Security, and Analytics teams. The Technical Data Steward is responsible for managing metadata, data lineage, data quality, data lifecycle processes, and access controls while supporting enterprise governance standards and HR reporting requirements. This role is a blend of Data Governance, Data Stewardship, Data Quality Management, Metadata & Lineage Management, Azure Data Warehousing, HR Data Analytics and Security & Compliance. The Technical Data Steward is responsible for the technical data management, governance, integrity and quality of Human Resources data assets for the HR Data Warehouse (Azure) and its platforms. This role ensures that data is properly defined, secured, governed, and usable across systems by partnering with HR business stewards, HR Data Analytics team, engineering teams, and stakeholders. Basic Description Provide technical data stewardship support to the HR Data Analytics team in managing, governing, and optimizing HR data assets. This role ensures data is accurate, secure, and aligned with enterprise data governance standards to support analytics, reporting, and strategic initiatives. Responsibilities 1. Data Governance & Standards • Implement and enforce enterprise data governance policies, standards, and procedures • Ensure execution of governance workstreams, including: o Metadata management o Enterprise quality controls o AI ready metadata o Data quality o Data lifecycle management o Policies and standards compliance • Monitor adherence to technical data standards and drive compliance across the business area 2. Data Management & Technical Oversight • Own technical data decisions on behalf of the Business Data Owner • Provide subject matter expertise on: o Source systems o Data stores and warehouses o ETL processes and pipelines o Business intelligence tools • Ensure proper implementation of data across systems and platforms 3. Metadata, Lineage & Cataloging • Build and maintain a data catalog, including metadata and business glossary • Ensure data definitions, rules, and standards are clearly documented and consistently applied • Capture and maintain data lineage (end-to-end technical flows) 4. Data Quality & Issue Resolution • Drive root cause analysis of data quality issues and coordinate resolution with Enterprise data and HR Analytics teams • Assist in design and implementation data quality audits, controls, and monitoring tools • Plan and lead data cleansing and remediation initiatives 5. Security & Risk Management • Partner with Information Security, HR Data Governance and HR Data teams to implement controls such as: o Role-based access (RBAC) o Persona based access o Row level access o Encryption and data protection standards • Ensure data confidentiality, integrity, and availability across platforms 6. Stakeholder Collaboration • Partner with: o Business Data Stewards o Data Owners o Data Engineering / IT teams • Translate business requirements into technical data solutions • Communicate impacts of data decisions across stakeholder groups Qualifications and Skill Requirements • Ability to work seamlessly and professionally across multiple business units and with all levels of the organization • Oracle HCM / PeopleSoft data experience • Cloud data platforms (Azure Data Lake, Power BI) • Data warehousing concepts (Azure) • Data integration / ETL processes (SQL Server, DataBricks, Azure) • Data quality and data lifecycle management • Enterprise platforms (e.g., data catalogs, BI tools, integration tools) • Data governance frameworks and best practices • Metadata management, lineage, and cataloging • Master data management (MDM) • Experience implementing data governance capabilities across an organization Desired Skills • Strong analytical and problem-solving skills • Ability to translate complex technical concepts for non-technical stakeholders • Attention to detail and commitment to data accuracy • Effective cross-functional communication and collaboration • Oracle HCM / PeopleSoft data experience • Cloud data platforms (Azure Data Lake, Power BI) • Regulatory and HR reporting alignment Ref: #851-Rockville-S1

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About System One

Sourced by ZipRecruiter

System One helps employers get work done more efficiently and economically without compromising quality. Over our 35+ year history, we've helped connect thousands of talented people with innovative companies. The excitement of a perfect fit motivates us every single day.

Industry

Business consulting services and recruiting and staffing services

Company size

5,001 - 10,000 Employees

Headquarters location

Pittsburgh, PA, US

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