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Associate Data Engineer Jobs in Washington, DC (NOW HIRING)

Data Engineer

Sterling, VA · On-site

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Highly preferred Azure Data Engineer Associate (DP-203) * Highly preferred Azure Solutions Architect * Highly preferred Power BI Data Analyst (PL-300) * Professional experience with designing and ...

Data Engineer II

Arlington, VA · 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 ...

Data Engineer II

Arlington, VA · 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

$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 ...

Cleared Data Engineer

Washington, DC · On-site

$93K - $176K/yr

Data engineering certification such as Palantir Foundry Data Engineer, Azure Data Engineer Associate, Google Professional Data Engineer, IBM Certified Data Engineer, or similar Security Clearance:

Data Engineer - Senior Manager

Washington, DC

$124K - $280K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

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

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

Associate Data Scientist

Mclean, VA · On-site

$80K - $100K/yr

The System Engineering Analytics Department is seeking a motivated, creative Data Scientist to apply cutting edge tools and techniques to challenging problems facing the US government. This position ...

New

Data Engineer II (Remote)

Arlington, VA · 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 ...

Showing results 41-60

Associate Data Engineer information

See Washington, DC salary details

$11

$21

$34

How much do associate data engineer jobs pay per hour?

As of Aug 18, 2026, the average hourly pay for associate data engineer in Washington, DC is $21.22, according to ZipRecruiter salary data. Most workers in this role earn between $17.40 and $22.60 per hour, depending on experience, location, and employer.

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 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 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 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.

Is an associate data engineer entry level?

An associate data engineer is typically an entry-level position suitable for candidates with limited professional experience in data engineering. It often requires foundational skills in SQL, Python, or cloud platforms and serves as a starting point for a career in data engineering.

What are the most commonly searched types of Data Engineer jobs in Washington, DC?

The most popular types of Data Engineer jobs in Washington, DC are:

What are popular job titles related to Associate Data Engineer jobs in Washington, DC?

For Associate Data Engineer jobs in Washington, DC, the most frequently searched job titles are:

What job categories do people searching Associate Data Engineer jobs in Washington, DC look for?

The top searched job categories for Associate Data Engineer jobs in Washington, DC are:

Infographic showing various Associate Data Engineer job openings in Washington, DC as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 11% Part Time, and 4% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $44,142 per year, or $21.2 per hour.

Data Engineer

Schnabel

Sterling, VA • On-site

Full-time

Medical, Dental, Vision, Retirement, PTO

This job post has expired 1 day ago. Applications are no longer accepted.


Job description

*Please Note: This position is not eligible for immigration sponsorship. Applicants must be authorized to work in the United States on a permanent basis.*

THE COMPANY:

Schnabel is a nationally recognized specialty contractor with over 65 years of experience in geostructural design-build and underground construction. With a portfolio of thousands of successful projects across the country, we are known for delivering smart, safe, and cost-effective solutions to complex engineering challenges. We specialize in advanced earth retention systems and other innovative geostructural techniques that create stable, lasting foundations for buildings, infrastructure, and other critical structures. At Schnabel, we combine technical expertise with a hands-on approach to ensure every project starts on solid ground.

ROLE:

Schnabel is seeking a Data Engineer to join our team in Sterling, VA or Denver, CO. This role has potential for a hybrid work schedule. You will help design, build, and support our enterprise data platform. This role will play a critical part in integrating data across systems such as CRM tools, operations (HCSS), and financial platforms (Sage) into a centralized Azure-based data warehouse.

You will work closely with data leadership and business stakeholders to ensure accurate, scalable, and governed data pipelines that power enterprise reporting and analytics.

Why join us? At Schnabel you will be a part of a high-impact enterprise data transformation. You will be instrumental in building a modern, Azure-native data platform in collaboration with our leadership teams. Come contribute and help shape our future using data!

RESPONSIBILITIES:

  • Design, build, and maintain data pipelines to integrate CRM, operational, and financial systems into a centralized data platform
  • Develop and manage ETL/ELT processes using Azure data services (e.g., Azure Data Factory or Microsoft Fabric pipelines)
  • Support the creation of a centralized enterprise data warehouse / Lakehouse
  • Perform data transformation, normalization, and reconciliation across systems
  • Build and maintain scalable data models that support reporting and analytics
  • Collaborate with business stakeholders to define standardized KPIs and ensure data consistency
  • Support data governance initiatives including data quality and documentation
  • Enable downstream reporting and dashboarding in Power BI
  • Monitor and optimize pipeline performance, reliability, and cost

REQUIREMENTS:

  • 5+ years of experience in data engineering or related field
  • Hands-on experience with Microsoft Azure data services & MS Fabric
  • Experience designing ETL/ELT pipelines
  • Strong SQL skills and experience with large datasets
  • Experience integrating multiple enterprise systems
  • Understanding best practice and fundamental data modeling concepts
  • Experience working with cloud-based data platforms
  • Experience working with executive stakeholders to develop reporting.

PREFERRED QUALIFICATIONS:

  • Highly preferred Azure Data Engineer Associate (DP-203)
  • Highly preferred Azure Solutions Architect
  • Highly preferred Power BI Data Analyst (PL-300)
  • Professional experience with designing and developing data reporting in alignment with stakeholder engagement with an agile framework.
  • Professional experience with Microsoft Fabric
  • Professional experience with creating Power BI reports
  • Preferred experience in construction or project-based industries
  • Preferred familiarity with HCSS, Sage, or CRM platform APIs
  • Exposure to data governance frameworks

SAFETY:

Support the company’s safety and risk management objectives by adhering to established procedures, proactively identifying and addressing potential risks, and contributing to the achievement of safety goals through the use of metrics and continuous improvement efforts.

Don’t hurt yourself, don’t hurt anyone else, and don’t let anyone hurt you; a simple philosophy that has been adopted at Schnabel. We live by this belief to provide a safe and healthy workplace for all our employees and subcontractors.

COMPENSATIONS AND BENEFITS:

  • Base Salary: $105,000.00 - $135,000.00 Depending on Experience
  • Eligibility for Company Bonus Plan
  • 401(k) with Company Contributions
  • Health Insurance
  • Vision and Dental Insurance
  • Strong PTO offering
  • Company Cell Phone or Stipend
  • Company Laptop and Supporting Technology

Schnabel is an Equal Opportunity Employer and is fully committed to providing equal employment opportunities to all employees and applicants for employment without regard to race, color, religion, gender, pregnancy, sexual orientation, national origin, age, disability, genetic information, veteran or military status, or any other characteristics protected by applicable laws. We are an E-Verify employer.