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Entry Level Azure Data Engineer Jobs in Virginia

Azure Data Engineer

Mclean, VA · On-site

$77K - $176K/yr

Melbourne, Florida, USA Azure Data Engineer The Opportunity: Ever-expanding technology like IoT, machine learning, and artificial intelligence means that there is more structured and unstructured ...

Azure Data Engineer The Opportunity: Ever-expanding technology like IoT, machine learning, and artificial intelligence means that there is more structured and unstructured data available today than ...

Azure Data Engineer

Mclean, VA · On-site

$77K - $176K/yr

Azure Data Engineer The Opportunity: Ever-expanding technology like IoT, machine learning, and artificial intelligence means that there is more structured and unstructured data available today than ...

R0242562 Azure Data Engineer The Opportunity: Ever-expanding technology like IoT, machine learning, and artifi cia l intelligence means that there is more structured and unstructured data available ...

Data Engineer

Arlington, VA · On-site

$131K - $158K/yr

AWS Glue, Google Cloud Dataflow, Azure Data Factory) • Experience with Cloud data warehousing ... open-source data engineering tools such as ElasticSearch and NiFi • Experience with Docker ...

Data Engineer

Arlington, VA

$131K - $158K/yr

Maintain the Azure components and services. * Develop architecture changes using infrastructure as code. * Create data architectures diagrams for complex data modeling solutions. * Create and ...

PCA Data Engineer

Richmond, VA · On-site

$113K - $136K/yr

The ideal candidate will have significant experience with Azure, Python, and Azure Data Factory ... Collaborate with other engineers, delivery leads and platform teams to ensure data solutions meet ...

Data Engineer

Reston, VA · On-site

$119K - $143K/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 ...

Data Engineer

Reston, VA

$119K - $143K/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 ...

Agentic Data Engineer

Richmond, VA · On-site

$80 - $95/hr

Experience with Azure Blob Storage, Azure Data Lakes, Azure Databricks * Experience implementing ... Strong programming skills in Python and experience with AI/ML frameworks. * Proficiency in vector ...

... Architect, Azure Data Engineer Associate, Snowflake Core, Snowflake Databricks Data Engineer ... PwC does not intend to hire experienced or entry level job seekers who will need, now or in the ...

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Entry Level Azure Data Engineer information

What is an Entry Level Azure Data Engineer?

An Entry Level Azure Data Engineer is a professional who helps design, build, and maintain data solutions on Microsoft Azure's cloud platform. They work with data storage, data pipelines, and data integration tools, often supporting more senior engineers in managing big data and analytics workloads. This role involves tasks like setting up Azure data services, transforming data, and ensuring secure and efficient data flows. Entry level engineers are typically early in their careers and may hold relevant certifications, such as Microsoft Certified: Azure Data Engineer Associate.

Can I get a data engineer job with no experience?

Entry-level Azure Data Engineer positions typically require some knowledge of cloud platforms, data processing, and SQL, but many employers consider candidates with relevant certifications or coursework even without professional experience. Building skills through online courses, certifications like Microsoft Certified: Azure Data Engineer Associate, and hands-on practice can improve chances of securing an entry-level role. Practical experience, such as internships or personal projects, also enhances employability in this field.

What is the salary of Azure data engineer entry level?

An entry-level Azure Data Engineer typically earns between $60,000 and $85,000 annually, depending on location, company size, and specific skills such as proficiency with Azure Data Factory, SQL, and cloud certifications. Salaries may increase with experience and additional certifications in cloud technologies.

Is Azure data engineer discontinued?

Azure Data Engineer is a current and in-demand role focused on designing and implementing data solutions using Microsoft Azure tools like Azure Data Factory, Azure Data Lake, and Azure SQL. Microsoft continues to invest in Azure data services, and the role remains relevant for professionals with skills in cloud data management and analytics.

What are some common challenges faced by entry level Azure Data Engineers and how can they be addressed?

Entry level Azure Data Engineers often encounter challenges such as managing complex data integration tasks, understanding the nuances of Azure’s numerous data services, and ensuring data security and compliance. To address these, it's helpful to invest time in hands-on practice with Azure tools like Data Factory and Synapse Analytics, seek mentorship within your team, and regularly review Microsoft’s documentation and best practices. Collaborating closely with more experienced engineers and participating in code reviews can also accelerate learning and help you navigate real-world scenarios more effectively.

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

To thrive as an Entry Level Azure Data Engineer, a solid understanding of data modeling, SQL, and basic programming (such as Python or Scala), along with a relevant degree in computer science or a related field, is important. Familiarity with Microsoft Azure services like Azure Data Factory, Azure SQL Database, and certifications such as Microsoft Certified: Azure Data Engineer Associate are highly valued. Strong analytical thinking, problem-solving abilities, and effective communication skills help newcomers excel in collaborative, data-driven environments. These competencies are critical for successfully designing, implementing, and maintaining scalable data solutions in modern cloud ecosystems.

What engineer makes $500,000 a year?

While most entry-level Azure Data Engineers earn significantly less, senior data engineers with extensive experience, advanced skills in cloud platforms, and specialized certifications can reach or exceed a $500,000 annual salary, especially in high-cost-of-living areas or large organizations. Such roles often require years of experience, expertise in data architecture, and proficiency with tools like Azure Data Factory, Databricks, and SQL.
What are the most commonly searched types of Azure Data Engineer jobs in Virginia? The most popular types of Azure Data Engineer jobs in Virginia are:
What job categories do people searching Entry Level Azure Data Engineer jobs in Virginia look for? The top searched job categories for Entry Level Azure Data Engineer jobs in Virginia are:
What cities in Virginia are hiring for Entry Level Azure Data Engineer jobs? Cities in Virginia with the most Entry Level Azure Data Engineer job openings:
Infographic showing various Entry Level Azure Data Engineer job openings in Virginia as of June 2026, with employment types broken down into 2% Locum Tenens, 15% Full Time, 80% Part Time, 1% Temporary, and 2% Contract. Highlights an 87% Physical, 5% Hybrid, and 8% Remote job distribution.
Azure Data Engineer

$77K - $176K/yr

Full-time, Part-time

Medical, Life, Retirement, PTO

Posted 4 days ago


Booz Allen Hamilton rating

8.8

Company rating: 8.8 out of 10

Based on 47 frontline employees who took The Breakroom Quiz

9th of 57 rated business consultants


Job description

Job Description
Remote Work:
Hybrid
Job Number:
R0242562
Location:
McLean,VA,US
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Additional Locations:
  • Melbourne, Florida, USA

Azure Data Engineer
The Opportunity:
Ever-expanding technology like IoT, machine learning, and artificial intelligence means that there is more structured and unstructured data available today than ever before. As a data engineer, you know that organizing data can yield pivotal insights when it is gathered from disparate sources. We need an experienced data engineer like you to help our clients find answers in their data to impact important missions from fraud detection to cancer research, to national intelligence.
As a data engineer at Booz Allen, you'll implement data engineering activities on some of the most mission-driven projects in the industry. You'll deploy and develop pipelines and platforms that organize and make disparate data meaningful. Here, you'll work with and guide a multi-disciplinary team of analysts, data engineers, developers, and data consumers in a fast-paced, agile environment. You'll use your experience in analytical exploration and data examination while you manage the assessment, design, building, and maintenance of scalable platforms for your clients.
Work with us to use data for good.
Join us. The world can't wait.
You Have:
  • Experience building scalable ETL or ELT pipelines for reporting and analytics using Azure Synapse Analytics, Azure Data Factory, or Azure Databricks
  • Experience with direct development using Azure services such as Azure Synapse Analytics, Azure Data Factory, Logic Apps, Azure Key Vault, ADLS Gen2, or Azure Databricks
  • Experience building and maintaining resilient ingestion pipelines from multiple sources such as REST APIs, Databases, event streams, or SaaS platforms, including Genesys and SalesForce
  • Experience with data modeling
  • Experience mentoring junior engineers and contribute to data engineering standards and best practices
  • Knowledge of monitoring and alerting tools
  • Ability to obtain and maintain a Public Trust or Suitability/Fitness determination based on client requirements
  • Bachelor's degree

Nice If You Have:
  • Experience with Python, SQ, including T-SQL and Spark SQL, and PySpark
  • Experience with UNIX or Linux, including basic commands and Shell scripting
  • Experience with the Microsoft Azure Government cloud, including Microsoft Azure
  • Experience writing data quality checks for large data sets using custom scripts in Azure Synapse or Azure Databricks
  • Experience with pipeline monitoring, observability, real-time data, and streaming applications
  • Experience with Apache Spark performance tuning and query optimization
  • Experience with Oracle or Oracle Golden Gate
  • Experience with Dynamics 365 CRM data
  • Bachelor's degree in a related field
  • Azure DE or Databricks Certification

Vetting:
Applicants selected will be subject to a government investigation and may need to meet eligibility requirements of the U.S. government client.
Compensation
At Booz Allen, we celebrate your contributions, provide you with opportunities and choices, and support your total well-being. Our offerings include health, life, disability, financial, and retirement benefits, as well as paid leave, professional development, tuition assistance, work-life programs, and dependent care. Our recognition awards program acknowledges employees for exceptional performance and superior demonstration of our values. Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible to participate in Booz Allen's benefit programs. Individuals that do not meet the threshold are only eligible for select offerings, not inclusive of health benefits. We encourage you to learn more about our total benefits by visiting the Resource page on our Careers site and reviewing Our Employee Benefits page.
Salary at Booz Allen is determined by various factors, including but not limited to location, the individual's particular combination of education, knowledge, skills, competencies, and experience, as well as contract-specific affordability and organizational requirements. The projected compensation range for this position is $77,600.00 to $176,000.00 (annualized USD). The estimate displayed represents the typical salary range for this position and is just one component of Booz Allen's total compensation package for employees. This posting will close within 90 days from the Posting Date.
Identity Statement
As part of the hiring process, we will ask you to complete an identity verification process that leverages advanced biometrics and artificial intelligence to ensure authenticity and protect against identity fraud. You are expected to be on camera during interviews and assessments. We reserve the right to take your picture to verify your identity and prevent fraud.
Candidate AI Usage Policy
AI is a part of our daily work at Booz Allen, and we are committed to the responsible and ethical use of AI tools. However, we want to ensure a fair candidate process based on your own skills and knowledge. As part of this commitment, the use of artificial intelligence (AI) or other tools to assist with responses during interviews (whether in-person or virtual) is prohibited unless permission is explicitly provided.
Work Model
Our people-first culture prioritizes the benefits of collaboration, whether it occurs in person or virtually. To support engagement and effective communication, employees working virtually are generally expected to have their cameras on during meetings.
  • Remote: If this position is listed as remote, there may still be occasions when you are required to work in person at a Booz Allen or customer facility.
  • Hybrid: If this position is listed as hybrid, you will be expected to work from a Booz Allen facility frequently, in alignment with leadership expectations and the needs of the role. You may also be required to work from or visit a customer facility.
  • Onsite: If this position is listed as onsite, work will primarily be performed at a Booz Allen office or customer facility, where employees will collaborate directly with colleagues and customers as required by the role.

Commitment to Non-Discrimination
All qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran or any other status protected by applicable federal, state, local, or international law.
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About Booz Allen Hamilton

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Booz Allen Hamilton is a leading provider of management and technology consulting services to the US government in defense, intelligence, and civil markets. Headquartered in McLean, Virginia, the firm also serves major corporations, institutions, and not-for-profit organizations. Founded in 1914 by Edwin G. Booz, the company has a long-standing tradition of helping clients achieve success by delivering a wide range of consulting services that include strategic planning, human capital and learning, communication, systems development, and others. The company's mission is to empower people to change the world, and it has a reputation for maintaining the highest standards of integrity and-excellence.

Industry

It services

Company size

10,000+ Employees

Headquarters location

McLean, VA, US

Year founded

1914