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Entry Level Azure Data Factory Jobs in Washington, DC

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

$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 ...

Accenture Federal Services

Data Engineer

Washington, DC

$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 ...

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 ...

NAVA Software Solutions

Data Scientist

Merrifield, VA · On-site

Apache Spark, Azure Data Factory, Azure DevOps, Azure ML (Machine Learning), Hadoop, Microsoft Azure, Databricks, AWS, Google Cloud * Understanding of data models, large datasets, business/technical ...

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How much do entry level azure data factory jobs pay per hour?

As of Aug 7, 2026, the average hourly pay for entry level azure data factory in Washington, DC 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.
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Entry Level Azure Data Factory jobs near you

Sr. Azure Data Engineer-Hybrid

Cognizant Technology Solutions

Washington, DC • On-site

$72 - $93.75/hr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 3 days ago

New

Cognizant rating

7.4

Company rating: 7.4 out of 10

Based on 85 frontline employees who took The Breakroom Quiz

52nd of 72 rated business consultants

Job description

Job Responsibilities
  • Design Azure-centric solution architectures that orchestrate Azure Event Grid, Azure Functions, Azure Logic Apps, Azure Data Lake Store, Azure Key Vault, and Azure Data Factory to deliver reliable event-driven integration patterns for complex banking workflows
  • Develop comprehensive end-to-end data processing pipelines that ingest, transform, and store high-volume investment banking and brokerage data in Azure Data Lake Store while ensuring scalability, performance, and operational resilience
  • Collaborate with product owners, business analysts, and engineering teams to translate investment banking operations requirements into technical blueprints that align with enterprise architecture standards and regulatory expectations
  • Optimize Azure Data Factory workflows, including mapping data flows and orchestrations, to reduce latency, improve throughput, and maintain consistent data quality across upstream and downstream systems
  • Configure and manage Azure Key Vault usage across applications to safeguard secrets, certificates, and encryption keys, and to support secure application integration for confidential financial information
  • Implement event-driven patterns using Azure Event Grid and Azure Functions to support near-real-time processing of trade events, settlements, and reconciliations with clear fault-handling and monitoring strategies
  • Guide application and data teams on integration with Azure Logic Apps for workflow automation and straight-through processing across trading platforms, market data feeds, and back-office systems
  • Establish standards for logging, monitoring, and alerting across Azure services, ensuring observability of data pipelines and event-driven functions and enabling timely response to incidents that could affect business operations
  • Evaluate existing architectures and recommend modernization strategies to move legacy data and integration workloads into Azure-native services while minimizing risk and downtime for critical investment banking processes
  • Document architecture decisions, design patterns, interface contracts, and security controls in a clear and accessible manner to support future audits, knowledge sharing, and continuous improvement across technology teams
  • Coordinate with security and risk stakeholders to validate that encryption, access controls, network configurations, and secret management within Azure adhere to internal policies and external regulatory frameworks for financial institutions
  • Mentor junior engineers and architects by reviewing solution designs, code implementations, and deployment pipelines, thereby reinforcing best practices in cloud architecture and data engineering
  • Participate in hybrid work model ceremonies, including design reviews, sprint planning, and architecture forums during day shifts, to ensure consistent communication and alignment across distributed teams
Qualifications
  • Demonstrate deep hands-on experience with Azure Event Grid, Azure Functions, Azure Logic Apps, Azure Data Lake Store, Azure Key Vault, and Azure Data Factory, including design, deployment, and operational optimization in production environments
  • Apply strong knowledge of cloud security, data protection, and identity management to shape architectures that handle sensitive investment banking and brokerage data in a safe, compliant, and resilient manner
  • Utilize experience in investment banking operations or brokerage domains to understand trade lifecycles, settlements, reconciliations, and reporting so that technical solutions directly address business challenges
  • Employ advanced skills in data modeling, integration patterns, and performance tuning to ensure that large-scale data pipelines and event processing systems meet demanding service level expectations
  • Use excellent communication and stakeholder management capabilities to collaborate effectively with cross-functional teams, including business operations, risk, compliance, and technology delivery groups
  • Bring proven experience in hybrid work models and distributed collaboration tools to maintain productivity, knowledge sharing, and clear documentation across teams working in distributed settings.

About Cognizant's IoT Practice:
Intelligent, IoT-enabled products will soon result in the proliferation of data and disrupt virtually all industries. To be successful, both large and small companies must leverage IoT capabilities by designing modern products that fundamentally connect people with processes. Within Cognizant IOT, we engineer industry-aligned, IoT-enabled products that merge industry needs with human drivers. Our intelligent products will revolutionize experiences and result in exciting, transformative outcomes. Without human-centered thinking, connected products are just standalone things-but with it, our modern connected products facilitate a unified way of life enjoyed by all.
*Please note, this role is not able to offer visa transfer or sponsorship now or in the future*
  • Applications will be accepted until September 4th , 2026
  • LI#- #LI-SC6

Compensation & Benefits
$92,000 - $110,000 per year
Bonus + Comprehensive Benefits
Additional Information
  • Onsite role
  • ⚠️ Visa sponsorship is not available now or in the future. Candidates requiring sponsorship will not be considered.

Benefits: Cognizant offers the following benefits for this position, subject to applicable eligibility requirements:
• Medical/Dental/Vision/Life Insurance
• Paid holidays plus Paid Time Off
• 401(k) plan and contributions
• Long-term/Short-term Disability
• Paid Parental Leave
• Employee Stock Purchase Plan
About Cognizant:
Cognizant (Nasdaq: CTSH) is an AI Builder and technology services provider, bridging the gap between AI investment and enterprise value by building full-stack AI solutions for our clients. Our deep industry, process and engineering expertise enables us to build an organization's unique context into technology systems that amplify human potential, drive tangible outcomes and keep global enterprises ahead in a fast-changing world. See how at cognizant.ai or @cognizant.
Additional employment information
Compensation information is accurate as of the date of this posting. Cognizant reserves the right to modify this information at any time, subject to applicable law.
Applicants may be required to attend interviews in person or by video conference. In addition, candidates may be required to present their current state or government issued ID during each interview.
Cognizant is an equal opportunity employer. Your application and candidacy will not be considered based on race, color, sex, religion, creed, sexual orientation, gender identity, national origin, disability, genetic information, pregnancy, veteran status or any other characteristic protected by federal, state or local laws.
If you have a disability that requires reasonable accommodation to search for a job opening or submit an application, please email [email protected] for roles based in the Americas or [email protected] for roles based in India.

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