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Data Engineer Intermediate Jobs in Washington (NOW HIRING)

Data Engineer

Chantilly, VA

$118K - $142K/yr

Data Engineer Location: Chantilly, VA Work Schedule: Full-Time, Onsite Clearance Required: Active ... Design and optimize data storage solutions utilizing AWS S3 for raw, intermediate, and production ...

Mid Data Engineer

Washington, DC ยท Hybrid

$129K - $155K/yr

Ignite Digital Services is hiring a Data Engineer to independently build and optimize scalable data ... Intermediate certifications (Cloud+, GSEC, Security+ , SSCP); or advanced certifications (SecurityX ...

Data Engineer

Chantilly, VA ยท On-site

$117K - $140K/yr

Design and optimize data storage in AWS S3, including raw, intermediate, and final datasets ... Support feature engineering, aggregations, and transformations at scale. * Assist in deploying ML ...

Data Engineer

Centreville, VA ยท Hybrid

$113K - $136K/yr

Design and optimize data storage in AWS S3, including raw, intermediate, and final datasets ... Support feature engineering, aggregations, and transformations at scale. * Assist in deploying ML ...

Data Engineer

Chantilly, VA ยท On-site

$200K - $220K/yr

Design and optimize data storage in AWS S3, including raw, intermediate, and final datasets ... Support feature engineering, aggregations, and transformations at scale. * Assist in deploying ML ...

Data Engineer

Centreville, VA ยท On-site +1

$113K - $136K/yr

Design and optimize data storage in AWS S3, including raw, intermediate, and final datasets ... Support feature engineering, aggregations, and transformations at scale. * Assist in deploying ML ...

Data Engineer

Chantilly, VA ยท On-site

$117K - $140K/yr

Design and optimize data storage in AWS S3, including raw, intermediate, and final datasets ... Support feature engineering, aggregations, and transformations at scale. * Assist in deploying ML ...

Data Engineer I

Washington, DC ยท On-site +1

$85K/yr

About the Role We're hiring an entry-level Data Engineer to join our Data Engineering team. You'll ... Build, test, and document dbt models (staging, intermediate, marts) aligned to Kimball dimensional ...

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Showing results 1-20

Data Engineer Intermediate information

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

As a Data Engineer Intermediate, you may frequently encounter challenges related to maintaining data quality and consistency across multiple sources, optimizing ETL processes for performance, and ensuring data pipelines are scalable to handle increasing data volumes. Troubleshooting data latency issues and managing dependencies between data sets are also common hurdles. Collaborating closely with data analysts, data scientists, and other engineers is essential to address these challenges and deliver reliable, high-quality data solutions.

What is a data engineer intermediate?

A Data Engineer Intermediate is a professional who designs, builds, and maintains data pipelines and architectures, typically with a few years of experience in the field. They are responsible for collecting, transforming, and storing data in ways that make it accessible and usable for analytics and business intelligence. Intermediate data engineers often work with tools like SQL, Python, ETL frameworks, and cloud platforms. They collaborate with data scientists, analysts, and other engineers to ensure data quality and optimize data workflows. This role requires a good understanding of data modeling, database systems, and data integration techniques.

What is the difference between Data Engineer Intermediate vs Data Engineer Junior?

AspectData Engineer IntermediateData Engineer Junior
Required CredentialsBachelor's in CS, experience with SQL, Python, ETL toolsEntry-level, basic knowledge of SQL and scripting
Work EnvironmentCollaborates on complex data pipelines, supports data architectureAssists in data tasks, learns from senior engineers
Employer & Industry UsageUsed in tech, finance, healthcare sectors for data projectsCommon in similar industries as entry-level role
Comparison Search IntentUnderstanding role progression, skills requiredEntry-level position, learning expectations

The main difference between Data Engineer Intermediate and Data Engineer Junior lies in experience, skill level, and responsibilities. Intermediate engineers handle more complex data pipelines and support data architecture, while junior engineers focus on learning foundational skills and assisting senior staff. This distinction helps employers and candidates understand career progression and required competencies.

What are the key skills and qualifications needed to thrive as a data engineer intermediate?

To thrive as a Data Engineer Intermediate, you need strong programming skills in languages like Python or Java, experience with database systems (SQL/NoSQL), and a solid understanding of data modeling, ETL processes, and data warehousing concepts. Familiarity with tools such as Apache Spark, Hadoop, Airflow, and cloud platforms like AWS or Azure, as well as relevant certifications, is highly valued. Excellent problem-solving abilities, attention to detail, and clear communication skills help set candidates apart in this role. These competencies ensure efficient data pipeline development, reliable data infrastructure, and effective collaboration with data teams and stakeholders.
What are the most commonly searched types of Data Engineer jobs in Washington? The most popular types of Data Engineer jobs in Washington are:
What cities in Washington are hiring for Data Engineer Intermediate jobs? Cities in Washington with the most Data Engineer Intermediate job openings:
Infographic showing various Data Engineer Intermediate job openings in Washington as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.

Intermediate Data Engineer (Contract

Parents Together Foundation

Washington, DC โ€ข Remote

$100 - $120/hr

Contractor

Re-posted 20 days ago


Job description

Our Work:

ParentsTogether is a cutting-edge nonprofit impact media organization that reaches 1 in 3 parents in the US with useful, relatable content that families love. We meet overwhelmed parents where they are with news, resources, and entertainment that help them navigate the highs and lows of raising kids today, while at the same time building a community united around a core idea: Parents are powerful and together we can help all families thrive.

Founded in 2012, today ParentsTogether has over 3 million members and reaches tens of millions more parents through social media, online issue organizing, and civic engagement.

Data plays a central role in how we make decisions. We rely on accurate, accessible, and well structured data to guide product development, operational improvements, and strategic planning. As we continue to grow, we are investing in strengthening our data infrastructure to ensure reliability, scalability, and long term sustainability.

Opportunity Overview:

We are seeking an Intermediate Data Engineer Contractor to design, build, and maintain scalable data pipelines and infrastructure. This contractor will work closely with our Lead Data Engineer and product team members to improve data systems across the organization.

This is a hands-on role focused on pipeline development, warehouse optimization, data modeling, and supporting analytics and business intelligence initiatives.

Scope of Work:

The contractor will:

  • Collaborate with our Lead Data Engineer and Product team members to identify and prioritize data improvements across the organization.
  • Assist in the design and implementation of pipelines to ingest, transform, and load data from multiple sources.
  • Optimize data warehouses and data lakes for performance and scalability.
  • Develop, update, and maintain data models to support reporting and analytics needs.
  • Monitor data pipeline health, troubleshoot issues, and ensure data quality and accuracy.
  • Respond professionally and accurately to urgent internal data requests within mutually agreed timelines.
  • Document data processes, system architectures, and best practices.
  • Support dashboard refinement and analytics initiatives, including work in PowerBI.

Required Qualifications:

  • Comfort with command line for building and debugging projects
  • Experience with data version control
  • Dashboard creation and refinement experience (PowerBI)
  • Strong proficiency in Python, SQL
  • Experience with cloud platforms (AWS, GCP) and their data services
  • Hands-on experience with data pipeline tools (dbt)
  • Solid understanding of data warehousing concepts and ability to update and refresh data models.

Preferred Skills:

  • 3-5 years of experience in data engineering, analysis, or a related field.
  • Experience with social media APIs and web scraping methodologies.
  • Familiarity with data governance and security best practices
  • Interest in or proficiency with emerging AI tools and predictive analytics.
  • Experience working with both relational and NoSQL databases

Structure, Compensation, and Collaboration:

This is an hourly independent contractor role and does not constitute employment.

Anticipated scope: Approximately 20 hours per week.
Anticipated start date: Monday, July 27, 2026.

Initial contract length: 6 months

The anticipated hourly rate range for this role is $100 to $120 per hour, depending on experience and scope alignment.

The contractor will maintain autonomy over their work schedule and workflow. To support effective collaboration, ParentsTogether generally operates in Eastern Time and prefers to schedule meetings and real time coordination between 12:00 PM and 5:00 PM ET when feasible. Specific collaboration windows will be mutually agreed upon while preserving contractor discretion over how and when project work is completed.

Final rate and contract terms will be determined based on qualifications, demonstrated technical capability, and mutual agreement.

Evaluation Process:

Applications will be reviewed based on relevant experience, technical qualifications, and alignment with the needs of the role.

Shortlisted candidates will participate in a one hour live technical exercise conducted via CoderPad. The exercise will focus on applied data engineering skills relevant to the role, including SQL, Python, and data pipeline reasoning. Candidates will be encouraged to ask clarifying questions and explain their thinking during the session.

The assessment is intended to evaluate problem solving approach, code clarity, and practical implementation skills in a collaborative setting.

How to Apply

Interested candidates should apply through our careers page only at:

https://www.careers-page.com/parents-together-foundation

Please upload:

  1. A resume
  2. Brief summary of relevant experience as it relates to this role.
  3. Brief note on weekly availability.
  4. Two professional references.

To ensure a fair and consistent review process, all applications must be submitted through the online portal. We are unable to respond to direct outreach, phone calls, or email inquiries regarding this opportunity.

Applications submitted outside of the online portal may not be reviewed.

Application deadline: Monday, July 6 2026