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Associate Data Engineering Jobs in Virginia (NOW HIRING)

eSolutionsFirst, LLC

Data Engineer

Mclean, VA · On-site

$117K - $141K/yr

Collaborate with business stakeholders, analysts, and engineering teams to gather requirements and ... Azure Data Engineer Associate (DP-203) or related cloud certifications preferred.

Pwc

Data Engineer - Senior Associate

Richmond, VA

$77K - $202K/yr

In data engineering at PwC, you will focus on designing and building data infrastructure and ... As a Senior Associate you analyze complex problems, mentor others, and maintain rigorous standards.

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Associate Data Engineering information

What are some typical projects an Associate Data Engineer might work on in their first year?

In their first year, an Associate Data Engineer often works on building and maintaining data pipelines, cleaning and transforming raw data, and supporting the integration of new data sources. They may also assist in optimizing existing data workflows for better performance and reliability, as well as collaborating closely with data analysts and senior engineers to ensure data quality and accessibility. These projects help new team members develop a strong understanding of the organization's data infrastructure and best practices in data engineering.

What does an associate data engineer do?

An associate data engineer supports data collection, processing, and storage by developing and maintaining data pipelines and workflows. They often work with tools like SQL, Python, and cloud platforms, and may assist in data quality and integration tasks under the supervision of senior engineers.

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

To thrive as an Associate Data Engineer, a solid understanding of database systems, SQL, data modeling, and a relevant bachelor's degree in computer science or a related field is essential. Familiarity with ETL tools, cloud platforms like AWS or Azure, and programming languages such as Python or Java is typically required. Strong problem-solving abilities, attention to detail, and effective communication skills help set candidates apart in collaborative, data-driven environments. These skills and qualities are crucial for building reliable data pipelines, ensuring data quality, and enabling actionable business insights.

What is an Associate Data Engineer?

An Associate Data Engineer is an entry-level professional who assists in designing, building, and maintaining data pipelines and infrastructure. They typically work with senior data engineers to ensure data is collected, stored, and processed efficiently for analytics and business use. Responsibilities often include data cleaning, integration, and supporting the development of scalable data solutions. Associate Data Engineers usually have foundational knowledge of programming, databases, and cloud technologies.

What engineers make $500,000?

Senior data engineers, especially those with extensive experience, advanced skills in cloud platforms, and expertise in big data tools, can earn $500,000 or more annually. High compensation often involves leadership roles, specialized knowledge, or working in high-demand industries such as finance or technology. Achieving this level typically requires a combination of technical proficiency, certifications, and strategic career development.

What is the difference between Associate Data Engineering vs Data Engineer?

AspectAssociate Data EngineeringData Engineer
Required CredentialsBachelor's degree in CS, IT, or related field; some certificationsBachelor's or master's degree; extensive experience preferred
Work EnvironmentEntry-level, team-focused, supporting data pipelinesDesigning, building, and maintaining large-scale data systems
Employer & Industry UsageCommon in tech companies, finance, healthcareUsed across industries for advanced data infrastructure roles
Search & Comparison IntentEntry-level, learning, support rolesAdvanced, specialized data infrastructure roles

The main difference between Associate Data Engineering and Data Engineer lies in experience and responsibilities. Associate Data Engineers are typically entry-level, focusing on supporting data pipelines and gaining hands-on experience. Data Engineers have more experience, handling complex data architecture, optimization, and system design. Both roles require similar educational backgrounds, but Data Engineers usually have more technical expertise and responsibility.

Can I make 200K as a data engineer?

Senior data engineers with extensive experience, specialized skills in tools like Spark or cloud platforms, and working in high-cost-of-living areas can earn salaries around or above $200,000 annually. Entry-level or mid-level data engineers typically earn less, with salaries increasing with expertise, certifications, and industry demand.

What engineers make 200,000 a year?

Senior data engineers and specialized software engineers often earn $200,000 or more annually, especially with extensive experience, advanced skills in cloud platforms, and certifications. High salaries are common in competitive markets and large organizations that require complex data infrastructure and engineering expertise.
What are the most commonly searched types of Data Engineering jobs in Virginia? The most popular types of Data Engineering jobs in Virginia are:
What cities in Virginia are hiring for Associate Data Engineering jobs? Cities in Virginia with the most Associate Data Engineering job openings:
Associate Data Engineering jobs near you
Data Engineer Associate

Data Engineer Associate

American Institutes for Research

Arlington, VA • On-site

$131K - $158K/yr

Full-time

Posted 22 days ago

Job description

AIR's Tek Office is seeking a motivated Data Engineer Associate to join our collaborative data and analytics team. The Data Engineer Associate will support the design, development, and maintenance of scalable data pipelines and contribute to building modern data platforms that enable business intelligence, analytics, and reporting. This role is ideal for an early-career professional with a foundational understanding of data engineering principles and hands-on experience (academic or professional) with Microsoft Azure and Microsoft Fabric tools. The position offers opportunities for mentorship, technical skill development, and exposure to modern cloud-based data solutions in a collaborative environment. This position reports into the Technology Office.
This position offers hybrid work flexibility, requiring three days per week in AIR's Virginia office, with occasional travel for meetings, training sessions, and conferences.
About AIR:
Founded in 1946 and headquartered in Arlington, Virginia, the American Institutes for Research (AIR) is a nonpartisan, not-for-profit organization that conducts behavioral and social science research and delivers technical assistance to address some of the most pressing challenges in the United States and globally. We generate evidence and apply data-driven solutions that expand opportunities and improve lives for all.
Responsibilities:
The responsibilities for the position include:
  • Assist in the development and maintenance of data pipelines and ETL/ELT processes using Azure and Fabric tools.
  • Support ingestion, integration, and transformation of data from multiple internal and external sources.
  • Work with Azure Data Factory, Azure Synapse, and Microsoft Fabric (Data Factory, Lakehouse, Dataflows, etc.).
  • Help design and maintain data models, data lakes, and data warehouses.
  • Write and optimize SQL queries for data transformation and validation.
  • Collaborate with data analysts, business stakeholders, and senior engineers to align on shared team objectives and drive successful outcomes.
  • Monitor and troubleshoot data workflows to ensure reliability and performance.
  • Participate in data quality, governance, and documentation efforts.
  • Contribute to process automation and continuous improvement.
  • Duties and responsibilities may change based on business needs.

Qualifications:
Education, Knowledge, and Experience
  • Bachelor's degree in Computer Science, Information Systems, Data Science, Engineering, related field or at least 2 years of relevant professional experience.
  • 1-2 years of experience in data engineering, data analysis, or related roles.
  • Foundational understanding of data engineering concepts, including ETL/ELT processes, data modeling, and data warehousing.
  • Hands-on experience with SQL and relational databases, along with familiarity in Python, PySpark, or similar programming languages.
  • Exposure to Microsoft Azure data services, including Azure Data Factory, Azure Synapse Analytics, and Azure Data Lake Storage, supporting scalable and cloud-based data solutions.
  • Hands-on experience with Microsoft Fabric (Lakehouse, Data Factory, Dataflows Gen2, OneLake), along with familiarity with Power BI, APIs, and modern data integration techniques.
  • Understanding of CI/CD pipelines, version control (Git), data governance, security, and compliance practices, with exposure to big data or distributed computing frameworks; relevant Microsoft and industry certifications preferred.

Skills
  • Strong communicator who can convey complex technical concepts clearly to diverse audiences while fostering collaboration across cross functional and virtual teams.
  • Demonstrated ability to exercise independence and initiative while partnering collaboratively to achieve shared team objectives.
  • Highly adaptable in fast paced environments, with the ability to prioritize and manage multiple concurrent workstreams while delivering timely, high-quality results.
  • Advanced analytical and problem-solving skills, demonstrating strong critical thinking, data accuracy, and disciplined attention to detail.
  • Strong eagerness to learn and integrate new technologies, particularly within the Microsoft ecosystem, to enhance effectiveness and efficiency.

Disclosures: Applicants must be currently authorized to work in the U.S. on a full-time basis. Employment-based visa sponsorship (including H-1B sponsorship) is not available for this position. Depending on project work, qualified candidates may need to meet certain residency requirements.
American Institutes for Research is an equal employment opportunity/affirmative action employer. All qualified applicants will receive consideration for employment without discrimination on the basis of any characteristic protected by applicable federal, state or local law, including, but not limited to, actual or perceived race (including traits historically associated with race, such as hair texture, hair type, and protective hairstyles such as braid, locks, and twists), creed, color, religion, alienage or national origin, ancestry, citizenship status, age, physical or mental disability, medical condition (e.g., cancer), sex, gender, gender identity or expression (including transgender status), sexual orientation, marital status, civil union status, pregnancy, childbirth or related medical conditions, genetic information, or military or veteran status. AIR adheres to strict child safeguarding principles. All selected candidates will be expected to adhere to these standards and principles and will therefore undergo reference and background checks. AIR maintains a drug-free work environment.
ACCESSIBILITY NOTICE: If you need a reasonable accommodation for any part of the employment process due to a physical or mental disability, please send an email to Taliba Boone at tboone@air.org or call 202.403.5000.
Fraudulent Job Scams Warning & Disclaimer: AIR is aware of individuals falsely presenting themselves as AIR representatives. Fraudulent job scams seek to extract sensitive information or money from victims. To protect yourself, please be aware that AIR recruitment will only email you from an "@air.org" domain. Please take extra caution while examining the email address, for example jdoe@air.org is correct and jdoe@aircareers.org is not a legitimate AIR email address. If you are unsure of the legitimacy of a communication you have received, please reach out to recruitment@air.org. If you see a job scam, or lose money to one, report it to the Federal Trade Commission (FTC) at ReportFraud.ftc.gov. You can also report it to your state attorney general. Find out more about how to avoid scams atftc.gov/scams.
#LI-MP1 #LI-Hybrid
AIR's Total Rewards Program, is designed to reward our staff competitively and motivate them to achieve our critical mission. This position offers the anticipated annual salary as listed. Salary offers are made based on internal equity within the institution and external equity with competitive markets. Please note this is the annual salary range for candidates that are based in the United States.
Anticipated Annual Salary Range
$105,000-$122,000 USD

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