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Azure Data Platform Engineer Jobs in Washington (NOW HIRING)

Senior Data Engineer

Mclean, VA · On-site

$107K - $145K/yr

Azure certifications (for example, Azure Data Engineer) or equivalent cloud/data platform certifications. * Experience implementing CI/CD for data engineering, MLOps pipelines, or data platform ...

AI Platform Engineer Company Overview Glint Tech Solutions is a women-owned global staffing and IT ... Azure Policy, RBAC, network isolation, and data egress restrictions * Implement HIPAA, CMS, and ...

Lead Data Platform Engineer

Arlington, VA · On-site

$131K - $158K/yr

Provide ongoing documentation, training, and coaching to internal data engineering teams for platform maintenance and extension. * Enable self-service data consumption for BI and analytics teams by ...

Data Engineer

Falls Church, VA · On-site

$95 - $135/hr

... platforms. This role focuses on building reliable, secure data infrastructure and integrations that support enterprise reporting and analytics needs. Technical Scope The engineer will leverage Azure ...

Azure Data Architect

Washington, DC · On-site +1

$72.25 - $92.75/hr

Experience with cloud computing platforms (e.g., Azure, Data Lake, Synapse Analytics, Machine Learning, Databricks, Logic Apps, AI Foundry). * Proficiency in programming languages such as Python, R ...

Cloud Data Architect

Herndon, VA · On-site

$65.50 - $84.25/hr

... Azure cloud environment. This role sets and stewards the technical architecture, security/compliance strategy, and data platform engineering standards that every other Summit workstream ...

Lead Data Platform Engineer

Arlington, VA · On-site

$131K - $158K/yr

Provide ongoing documentation, training, and coaching to internal data engineering teams for platform maintenance and extension. * Enable self-service data consumption for BI and analytics teams by ...

Principal Data Engineer

Vienna, VA · On-site

$114K - $138K/yr

The Principal Data Engineer will provide senior-level engineering expertise, architectural ... data platform powered by Azure, Databricks, Microsoft Fabric, Power BI, Tableau, Alation, and ...

The ideal candidate brings a deep expertise in SQL, Spark, Databricks, Azure cloud analytics, and ... Experience working across VA platforms and enterprise data assets. * Experience implementing ...

... platform. You'll bring deep expertise in Azure data services, strong hands-on experience with data engineering tools and frameworks, and the communication skills to work effectively with both ...

... platform. You'll bring deep expertise in Azure data services, strong hands-on experience with data engineering tools and frameworks, and the communication skills to work effectively with both ...

Data Engineer

Fairfax, VA · On-site +1

$130K - $155K/yr

The ideal candidate brings a deep expertise in SQL, Spark, Databricks, Azure cloud analytics, and ... Experience working across VA platforms and enterprise data assets. * Experience implementing ...

Cloud Engineer - Data

National Harbor, MD · On-site

$100K - $140K/yr

... platform. You'll bring deep expertise in Azure data services, strong hands-on experience with data engineering tools and frameworks, and the communication skills to work effectively with both ...

Data Engineer

Fairfax, VA · On-site

$130 - $155/hr

The ideal candidate brings a deep expertise in SQL, Spark, Databricks, Azure cloud analytics, and ... Experience working across VA platforms and enterprise data assets. * Experience implementing ...

Data Engineer

Washington, DC · On-site

$126K - $152K/yr

... Azure Databricks, and Apache Kafka, along with expertise in modern data engineering methodologies, DevSecOps practices, and cloud-based data platforms. Responsibilities and Duties (Included but not ...

New

Data Engineer

Washington, DC · On-site

$129K - $155K/yr

AWS Glue, Google Cloud Dataflow, Azure Data Factory) * Experience with Cloud data warehousing ... Experience with data platforms like Databricks, Palantir, and Snowflake * Familiarity with data ...

Showing results 41-60

Azure Data Platform Engineer information

What is an Azure Data Platform Engineer?

An Azure Data Platform Engineer is a technology professional who specializes in designing, building, and managing data solutions on Microsoft Azure. They work with services such as Azure SQL Database, Azure Data Factory, Azure Synapse Analytics, and other cloud-based data technologies to ensure efficient data storage, processing, integration, and analytics. Their role often involves implementing data pipelines, managing data security, optimizing performance, and supporting data-driven decision-making for organizations. Azure Data Platform Engineers typically collaborate with data scientists, analysts, and software developers to deliver robust and scalable data solutions.

What are the key skills and qualifications needed to thrive as an Azure Data Platform Engineer?

To thrive as an Azure Data Platform Engineer, you need expertise in data modeling, SQL, cloud architecture, and a strong understanding of Microsoft Azure services, typically supported by a degree in computer science or related fields. Familiarity with Azure Data Factory, Azure SQL Database, Databricks, and certifications like Microsoft Certified: Azure Data Engineer Associate are valuable. Strong analytical thinking, problem-solving skills, and effective communication set top performers apart in this role. These skills ensure the efficient design, deployment, and management of robust data solutions that support business intelligence and analytics needs.

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

Azure Data Platform Engineers often encounter challenges when consolidating data from diverse sources, such as differing data formats, inconsistent data quality, and varying update frequencies. Addressing these issues typically involves designing robust data pipelines using Azure Data Factory or Synapse, implementing effective data transformation and cleansing routines, and ensuring secure, compliant data movement. Collaborating closely with data architects and business analysts is essential to align technical solutions with organizational data governance and integration requirements.

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

AspectAzure Data Platform EngineerData Engineer
CertificationsAzure certifications (e.g., DP-203)General data engineering certifications (e.g., Google Cloud, AWS)
Work EnvironmentPrimarily cloud-based, Azure ecosystemOn-premises, cloud, or hybrid environments
Industry UsageOrganizations using Microsoft AzureVarious industries, broader data infrastructure roles
FocusDesigning, implementing, and managing Azure data solutionsBuilding and maintaining data pipelines and architectures

The Azure Data Platform Engineer specializes in Azure cloud data solutions, while the Data Engineer has a broader scope across different platforms and environments. Both roles require strong data management skills, but the Azure Data Platform Engineer focuses specifically on Azure services and certifications.

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

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

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

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

Senior Data Engineer

Guidehouse

Mclean, VA • On-site

$107K - $145K/yr

Full-time

Medical, Dental, Vision, Life, Retirement

Re-posted 6 days ago


Key responsibilities

  • Design, build, and operate Azure Lakehouse architectures using Azure Databricks, Azure Data Lake Storage (ADLS Gen2), Azure Synapse Analytics, and Azure Data Factory.

  • Develop, maintain, and optimize scalable ETL/ELT pipelines using Databricks Workflows, Spark jobs, and Delta Lake.

  • Process large-scale structured and unstructured datasets using optimized batch and streaming pipelines leveraging Apache Spark, Delta Lake, Python, SQL, and Scala.


Guidehouse rating

8.0

Company rating: 8.0 out of 10

Based on 28 frontline employees who took The Breakroom Quiz

35th of 72 rated business consultants


Job description

Job Family:

Data Science & Analysis


Travel Required:

Up to 10%


Clearance Required:

Ability to Obtain Public Trust

What You Will Do:

  • Design, build, and operate Azure Lakehouse architectures using Azure Databricks, Azure Data Lake Storage (ADLS Gen2), Azure Synapse Analytics, and Azure Data Factory to support analytical and operational workloads.
  • Develop, maintain, and optimize scalable ETL/ELT pipelines using Databricks Workflows, Spark jobs, and Delta Lake to ensure reliability, performance, and enterprise-grade data quality.
  • Process large-scale structured and unstructured datasets using optimized batch and streaming pipelines leveraging Apache Spark, Delta Lake, Python, SQL, and Scala.
  • Collaborate with cross-functional teams to deliver enterprise solutions on Azure and support production deployments, monitoring, and operational excellence.
  • Implement data quality, performance tuning, and cost-optimization practices for data platforms and pipelines.

What You Will Need:

  • Must be able to OBTAIN and MAINTAIN a Federal or DoD "Public Trust" security clearance; candidates must obtain approved adjudication of clearance prior to onboarding with Guidehouse. Candidates with an ACTIVE "Public Trust" or higher-level clearance are preferred.
  • Bachelor's or Master's degree in Computer Science, Engineering, Data Science, or equivalent experience.
  • FIVE (5) or more years of experience as a Data Engineer, including THREE (3) years delivering enterprise solutions on Azure, specifically using Azure Databricks and Azure-native data services.
  • Hands-on experience designing, building, and operating Azure Lakehouse architectures using Azure Databricks, ADLS Gen2, Azure Synapse Analytics, and Azure Data Factory.
  • Experience in Apache Spark, Delta Lake, Python, SQL, and Scala, with demonstrated ability to process large-scale structured and unstructured datasets using optimized batch and streaming pipelines.
  • Experience designing, developing, and maintaining scalable ETL/ELT pipelines using Databricks Workflows, Spark jobs, and Delta Lake, ensuring reliability, performance, and data quality at enterprise scale.
  • Experience with real-time and batch data processing.

What Would Be Nice To Have:

  • Azure certifications (for example, Azure Data Engineer) or equivalent cloud/data platform certifications.
  • Experience implementing CI/CD for data engineering, MLOps pipelines, or data platform automation.
  • Familiarity with data governance, observability, and cost-optimization practices at scale.


What We Offer:

Guidehouse offers a comprehensive, total rewards package that includes competitive compensation and a flexible benefits package that reflects our commitment to creating a diverse and supportive workplace.

Benefits include:

  • Medical, Rx, Dental & Vision Insurance

  • Personal and Family Sick Time & Company Paid Holidays

  • Parental Leave

  • 401(k) Retirement Plan

  • Group Term Life and Travel Assistance

  • Voluntary Life and AD&D Insurance

  • Health Savings Account, Health Care & Dependent Care Flexible Spending Accounts

  • Transit and Parking Commuter Benefits

  • Short-Term & Long-Term Disability

  • Tuition Reimbursement, Personal Development, Certifications & Learning Opportunities

  • Employee Referral Program

  • Corporate Sponsored Events & Community Outreach

  • Care.com annual membership

  • Employee Assistance Program

  • Supplemental Benefits via Corestream (Critical Care, Hospital Indemnity, Accident Insurance, Legal Assistance and ID theft protection, etc.)

  • Position may be eligible for a discretionary variable incentive bonus

About Guidehouse

Guidehouse is an Equal Opportunity Employer-Protected Veterans, Individuals with Disabilities or any other basis protected by law, ordinance, or regulation.

Guidehouse will consider for employment qualified applicants with criminal histories in a manner consistent with the requirements of applicable law or ordinance including the Fair Chance Ordinance of Los Angeles and San Francisco.

If you have visited our website for information about employment opportunities, or to apply for a position, and you require an accommodation, please contact Guidehouse Recruiting at 1-571-633-1711 or via email at RecruitingAccommodation@guidehouse.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodation.

All communication regarding recruitment for a Guidehouse position will be sent from Guidehouse email domains including @guidehouse.com or guidehouse@myworkday.com. Correspondence received by an applicant from any other domain should be considered unauthorized and will not be honored by Guidehouse. Note that Guidehouse will never charge a fee or require a money transfer at any stage of the recruitment process and does not collect fees from educational institutions for participation in a recruitment event. Never provide your banking information to a third party purporting to need that information to proceed in the hiring process.

If any person or organization demands money related to a job opportunity with Guidehouse, please report the matter to Guidehouse's Ethics Hotline. If you want to check the validity of correspondence you have received, please contact recruiting@guidehouse.com. Guidehouse is not responsible for losses incurred (monetary or otherwise) from an applicant's dealings with unauthorized third parties.

Guidehouse does not accept unsolicited resumes through or from search firms or staffing agencies. All unsolicited resumes will be considered the property of Guidehouse and Guidehouse will not be obligated to pay a placement fee.


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