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Sobre esta vaga de Data Engineer na CACI

CACI · Presencial · Arlington, VA, US
Job Title: Data Engineer

Job Category: Information Technology

Time Type: Full time

Minimum Clearance Required to Start: Secret

Employee Type: Regular

Percentage of Travel Required: Up to 10%

Type of Travel: Local

* * *


The Opportunity:
CACI is seeking a Data Engineer with strong hands-on experience designing, developing, and supporting enterprise data platforms in Microsoft Azure. The ideal candidate combines deep data engineering and ETL/ELT expertise with broad knowledge of cloud-based data architecture and Azure-native data, integration, processing, application, and security services.

The successful candidate will have experience working across enterprise data platforms, with a strong understanding of data architecture, data modeling, data integration, ETL/ELT, data pipelines, data quality, and data governance. Experience designing and implementing these capabilities in cloud environments is essential, with Azure experience being a key focus.

We are looking for a data engineer who can do more than develop pipelines—the ideal candidate understands data architecture, integration patterns, cloud security, governance, troubleshooting, and the end-to-end operation of an enterprise data platform.



Responsibilities:
.

  • Design and develop enterprise-scale data pipelines and ETL/ELT solutions.
  • Develop data architectures supporting batch, real-time, and event-driven processing.
  • Design data models, data flows, integration patterns, and data storage solutions.
  • Integrate data from databases, APIs, files, applications, and enterprise systems.
  • Develop and support Azure data solutions using Synapse, Data Factory, ADLS Gen2, Functions, Logic Apps, and Event Hubs.
  • Implement data solutions using Azure SQL Database and Cosmos DB.
  • Support data governance, cataloging, classification, and lineage.
  • Implement secure data solutions using RBAC, managed identities, Key Vault, private endpoints, and Entra ID.
  • Monitor, troubleshoot, and optimize data pipelines and production data services.
  • Collaborate with architects, developers, analysts, cybersecurity teams, and business stakeholders.
  • Apply enterprise standards for security, compliance, data quality, and governance.

Qualifications:

Required: 

  • Bachelor’s degree in Computer Science, Information Systems, Engineering, or related field, or equivalent experience.
  • 7+ years of experience in data engineering, data architecture, data integration, or ETL/ELT.
  • Strong understanding of data architecture, data modeling, data warehousing, data lakes, and data integration patterns.
  • Experience designing and implementing data solutions in cloud environments.
  • Strong SQL skills and experience with relational databases and data warehousing.
  • Hands-on experience developing and supporting ETL/ELT pipelines and data integration solutions.
  •  Hands-on experience with Microsoft Azure data services, including:
      - Azure Synapse Analytics
      - Azure Data Factory / Synapse Pipelines
      - Azure Data Lake Storage Gen2
      - Azure Functions and/or Logic Apps
      - Azure SQL Database
  • Experience integrating data from multiple enterprise sources, including databases, APIs, files, and applications.
  • Understanding of cloud security concepts including RBAC, managed identities, Key Vault, private endpoints, and Entra ID.
  • Experience troubleshooting and supporting production data solutions.

Desired:

  • Skilled in Azure Event Hubs and real‑time data processing.
  • Proficient with Cosmos DB and NoSQL data architectures.
  • Knowledgeable in Microsoft Purview, including data governance and lineage capabilities.
  • Capable of working with Self‑Hosted Integration Runtime and hybrid data integration patterns.
  • Familiar with Azure App Service, Power BI, and Azure Machine Learning.
  • Adept in Python, PySpark, or comparable data engineering languages.
  • Competent with Azure DevOps, Git, CI/CD practices, and automated deployment pipelines.
  • Strong understanding of Azure Monitor and Application Insights for observability and performance monitoring.

     

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What You Can Expect:

 A culture of integrity.

At CACI, we place character and innovation at the center of everything we do. As a valued team member, you’ll be part of a high-performing group dedicated to our customer’s missions and driven by a higher purpose – to ensure the safety of our nation.

An environment of trust.

CACI values the unique contributions that every employee brings to our company and our customers - every day. You’ll have the autonomy to take the time you need through a unique flexible time off benefit and have access to robust learning resources to make your ambitions a reality.

A focus on continuous growth.

Together, we will advance our nation's most critical missions, build on our lengthy track record of business success, and find opportunities to break new ground — in your career and in our legacy.


Pay Range:

There are a host of factors that can influence final salary including, but not limited to, geographic location, Federal Government contract labor categories and contract wage rates, relevant prior work experience, specific skills and competencies, education, and certifications. Our employees value the flexibility at CACI that allows them to balance quality work and their personal lives. We offer competitive compensation, benefits and learning and development opportunities. Our broad and competitive mix of benefits options is designed to support and protect employees and their families. At CACI, you will receive comprehensive benefits such as; healthcare, wellness, financial, retirement, family support, continuing education, and time off benefits.

The proposed salary range for this position is:

$103,800 - $218,100

CACI is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, age, national origin, disability, status as a protected veteran, or any other protected characteristic.
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Como este salário de Data Engineer se compara

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