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Associate Data Engineer Jobs in McLean, VA (NOW HIRING)

Data Engineer II

Arlington, VA ยท On-site +1

$131K - $158K/yr

Glider - Data Engineering (Advanced) Overview seeking an experienced Data Engineer II to join the Analytics Solutions Team. This team partners with stakeholders to extract data from the Data ...

Associate Data Scientist

Arlington, VA ยท On-site

$67K - $68K/yr

Data Scientists at the SEI use advanced statistics, data analytics, machine learning, and ... Proficient with at least one mathematical/statistical programming package (e.g., R, python numpy ...

... Associate, Snowflake Core, Snowflake Architect, Databricks Data Engineer Associate] is a plus - Designing and implementing thorough data architecture strategies - Developing and documenting data ...

Lead Consultant Data Engineer (DHS)

Arlington, VA ยท On-site

$131K - $158K/yr

Databricks Certified Machine Learning Associate * Databricks Certified Developer for Apache Spark * Databricks Certified Data Engineer Associate * Databricks Certified Data Engineer Professional

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Associate & Summary The Opportunity As a Data Engineer - Senior Associate, you will focus on designing and ...

Data Engineer II (Remote)

Arlington, VA ยท Remote

$117K - $140K/yr

Glider Data Engineering (Advanced) Overview seeking an experienced Data Engineer II to join the Analytics Solutions Team. This team partners with stakeholders to extract data from the Data Warehouse ...

Data Engineer Lead

Bethesda, MD ยท On-site

$109K - $144K/yr

Databricks Certified Data Engineer Associate and/or Databricks Certified Machine Learning Associate * AWS Certified Data Analytics - Specialty and/or AWS Certified DevOps Engineer - Professional

Showing results 41-60

Associate Data Engineer information

See McLean, VA salary details

$10

$19

$31

How much do associate data engineer jobs pay per hour?

As of Aug 10, 2026, the average hourly pay for associate data engineer in McLean, VA is $19.22, according to ZipRecruiter salary data. Most workers in this role earn between $15.77 and $20.48 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as an associate data engineer?

To thrive as an Associate Data Engineer, you need a solid understanding of data modeling, SQL, Python, and foundational knowledge of database concepts, often backed by a degree in computer science or a related field. Familiarity with data warehousing tools (like AWS Redshift, Google BigQuery), ETL frameworks, and cloud platforms as well as industry certifications such as AWS Certified Data Analytics is beneficial. Strong problem-solving skills, attention to detail, and effective communication help you navigate complex data challenges and collaborate with teams. These abilities are crucial for ensuring data systems are reliable, scalable, and aligned with organizational goals.

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

AspectAssociate Data EngineerData Engineer
Required CredentialsBachelor's degree in CS, Data Science, or related field; basic knowledge of SQL and PythonBachelor's or Master's degree; advanced knowledge of SQL, Python, Spark, and cloud platforms
Work EnvironmentEntry-level, team-focused, often in tech or finance industriesMid to senior level, designing and maintaining data pipelines in various industries
Employer & Industry UsageCommon in tech companies, startups, and finance firmsUsed across industries for building scalable data infrastructure
Common Search & ComparisonOften compared for career progression and skill requirements

The Associate Data Engineer role is an entry-level position focusing on supporting data infrastructure, while the Data Engineer is a more advanced role responsible for designing and maintaining complex data systems. The roles share similar educational backgrounds and work environments but differ in experience level and responsibilities.

What does an associate data engineer do?

An Associate Data Engineer is responsible for supporting the development, maintenance, and optimization of data pipelines and databases. They work closely with senior data engineers and other IT professionals to ensure data is accessible, reliable, and efficiently processed for analytics and business use. Typical tasks include writing and testing code for data integration, troubleshooting data issues, and implementing data security best practices. This entry-level position is a foundational role that builds technical skills and experience in data engineering.

What are some common challenges an associate data engineer may face when working with large-scale data pipelines?

As an Associate Data Engineer, you may often encounter challenges such as optimizing data pipeline performance, ensuring data quality, and troubleshooting bottlenecks when processing large volumes of data. Working with distributed systems can introduce complex issues like latency and data consistency. Collaborating effectively with data scientists, analysts, and senior engineers is crucial for aligning data infrastructure with evolving project requirements. Regularly learning new tools and best practices will help you adapt to these challenges and grow in your role.
What are the most commonly searched types of Data Engineer jobs in McLean, VA? The most popular types of Data Engineer jobs in McLean, VA are:
What are popular job titles related to Associate Data Engineer jobs in McLean, VA? For Associate Data Engineer jobs in McLean, VA, the most frequently searched job titles are:
What job categories do people searching Associate Data Engineer jobs in McLean, VA look for? The top searched job categories for Associate Data Engineer jobs in McLean, VA are:
What cities near McLean, VA are hiring for Associate Data Engineer jobs? Cities near McLean, VA with the most Associate Data Engineer job openings:
Infographic showing various Associate Data Engineer job openings in McLean, VA as of August 2026, with employment types broken down into 1% As Needed, 78% Full Time, 17% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $39,981 per year, or $19.2 per hour.

Data Engineer II

Delan Associates, Inc.

Arlington, VA โ€ข On-site, Remote

$131K - $158K/yr

Contractor

Re-posted 3 days ago


Job description

Spark, Hadoop, and Python are the skills required for the role. It will be hybrid, 3 days a week in office. Please Focus on local resources or candidates within a commutable distance to Arlington
Interview: F2F
Assessment: Glider - Data Engineering (Advanced)
Overview
seeking an experienced Data Engineer II to join the Analytics Solutions Team. This team partners with stakeholders to extract data from the Data Warehouse, transform and optimize it, and build reporting/dashboard solutions that deliver actionable insights to clients.
The ideal candidate will have strong hands-on experience with Spark, Hadoop, Python, and SQL, along with a background building scalable data pipelines and ETL solutions in large data environments.
Work Schedule
Monday - Friday
9:00 AM - 5:00 PM ET
Hybrid schedule (3 days onsite per week)
No travel required
Interview Process
Two rounds minimum
Hiring Manager
Team Interview
In-person interviews preferred
Top Required Skills
โ€ข Apache Spark (PySpark, Spark SQL, Spark Streaming)
โ€ข Hadoop Ecosystem (HDFS/Ozone, Hive, YARN)
โ€ข Python
Level Required: Advanced
Key Responsibilities
Design, develop, and support enterprise-scale ETL processes and data pipelines.
Build scalable and efficient data processing solutions that ensure timely delivery of business-critical data.
Develop and optimize big data workflows using Apache Spark and Hadoop technologies.
Partner with Data Engineers, Analysts, and business stakeholders to deliver high-quality data solutions.
Troubleshoot data issues and implement solutions that maintain data integrity and quality.
Support dashboard and reporting initiatives by delivering clean, transformed datasets.
Utilize SQL and database technologies to improve data processing performance and efficiency.
Participate in automation initiatives to streamline operational and data engineering processes.
Follow engineering best practices including code reviews, version control, testing, and data validation.
Ensure compliance with Mastercard internal policies and industry regulations.
Required Qualifications
Experience as a Data Engineer or similar data-focused role.
Strong SQL development and query optimization experience.
Hands-on experience with:
Apache Spark (PySpark, Spark SQL, Spark Streaming)
Hadoop ecosystem (HDFS/Ozone, Hive, YARN)
Python
Experience building and maintaining ETL pipelines.
Understanding of data modeling and database design principles.
Ability to troubleshoot and resolve complex data issues independently.
Experience validating and testing data for quality and consistency.
Strong written and verbal communication skills.
Bachelor's degree in Engineering, Mathematics, Finance, Business, Computer Science, or a related field (or equivalent practical experience).
Additional Details
Excellent opportunity to work on large-scale data platforms supporting global clients.
Target Profile: Data Engineers with strong Spark/Hadoop backgrounds who have built enterprise data pipelines and are comfortable working in a large-scale analytics environment.