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Data Engineer Intermediate Jobs in Virginia (NOW HIRING)

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

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 ...

Overview Network Engineer Intermediate Arlington, VA Are you ready to enhance your skills and build ... Configure and troubleshoot network routing protocols (EIGRP, BGP, OSPF) to support efficient data ...

Req ID: 41032 Summary Network Engineer Intermediate Arlington, VA Are you ready to enhance your ... Configure and troubleshoot network routing protocols (EIGRP, BGP, OSPF) to support efficient data ...

Data Engineer with Security Clearance

Chantilly, VA ยท On-site

$118K - $142K/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 ...

Evergreen: Senior AI Platform & Data Engineer

Mclean, VA ยท Remote

$107K - $145K/yr

AI Platform & Data Engineer This is a remote position. Ad Hoc is a technology company that empowers ... Intermediate understanding of data management and transformation of raw data into interpretable ...

Support compliance monitoring and other audit functions using intermediate and advanced programming techniques. * Assist senior staff in the preparation of analytic results in the form of both data ...

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Data Engineer Intermediate information

What is an intermediate data engineer?

An intermediate data engineer is a professional who designs, builds, and maintains data pipelines and infrastructure, typically with several years of experience. They are proficient in tools like SQL, Python, and cloud platforms, and often work on optimizing data workflows and ensuring data quality. This role requires a solid understanding of data modeling, ETL processes, and basic knowledge of distributed systems.

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 engineer makes 500,000 a year?

Senior data engineers with extensive experience, advanced skills in cloud platforms, and expertise in big data tools can earn salaries approaching or exceeding $500,000 annually, especially in high-cost-of-living areas or within large tech companies. Such roles often require strong programming, data architecture, and leadership capabilities, along with relevant certifications and a track record of managing complex data systems.

What are Data Engineer Intermediates?

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 engineers make 300,000 a year?

Senior data engineers with extensive experience, advanced skills in cloud platforms, and expertise in big data tools can earn salaries of $300,000 or more annually. High compensation is often associated with working in large organizations, possessing specialized certifications, and leading complex data projects.

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, and why are they important?

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.

Can I get a data engineer job with no experience?

Entry-level data engineer positions typically require some knowledge of programming, databases, and data processing tools like SQL, Python, or cloud platforms. While prior experience is often preferred, candidates with relevant internships, certifications, or strong technical skills can sometimes qualify for junior roles or apprenticeships in data engineering.
What are the most commonly searched types of Data Engineer jobs in Virginia? The most popular types of Data Engineer jobs in Virginia are:
What cities in Virginia are hiring for Data Engineer Intermediate jobs? Cities in Virginia with the most Data Engineer Intermediate job openings:
Data Engineer

Data Engineer

Edgesource

Centreville, VA โ€ข Hybrid

$113K - $136K/yr

Other

Medical, Dental, Vision, Retirement, PTO

Re-posted 9 days ago


Job description

Company Overview:
For over 25 years,ย Edgesource Corporation has served as an innovative technology service provider for the Department of Defense (DOD), Department of Homeland Security (DHS), Department of State (DOS), the U.S. Intelligence Community, Law Enforcement, and other federal, state, and commercial clients locally, nationally, and abroad. From providing boutique technical solutions in support of the DOD Counter Unmanned Aerial Systems (CUAS) mission set to addressing the most critical Cybersecurity threats facing our nation as a prime contractor with the DHS Cybersecurity & Infrastructure Security Agency (CISA), a career at Edgesource is an opportunity to do meaningful, interesting, and impactful work.

Position Overview:

Client is seeking a data engineer to grow our team performing cutting edge client work in mission space. With overwhelming amounts of large data, client is seeking a data engineer to support data structuring for implementation into a larger enterprise system that is being custom developed for client.

Development is performed on client site.

Responsibilities:

  • Design, develop, and maintainย ETL/ELT pipelinesย for batch and real-time processing usingย Python and SQL.
  • Integrate data from multiple sources, including databases, APIs, streaming platforms, PDFs, and MS Office files.
  • Build scalable data architectures to support analytics and machine learning workloads.
  • Optimizeย data processing and queriesย for performance and cost efficiency inย AWS S3.
  • Exposure to PySpark or other big data frameworksย is a plus for future pipeline scalability.

Data Management & Optimization

  • Collect, clean, and validate large volumes of structured and unstructured data.
  • Track data versions, implement data quality checks, and ensure data reliability.
  • Design and optimizeย data storage in AWS S3, including raw, intermediate, and final datasets.
  • Implementย data governance practices, including documentation, cataloging, lineage, and security.
  • Ensure compliance security standards.

Collaboration with Data Science & Stakeholders

  • Work closely withย Data Scientists, Analysts, and stakeholdersย to understand data requirements.
  • Prepareย clean, structured, and feature-ready datasetsย for analytics and machine learning.
  • Supportย feature engineering, aggregations, and transformationsย at scale.
  • Assist in deploying ML models to production, ensuring monitoring, versioning, and performance optimization.

Documentation & Communication

  • Document pipelines, data schemas, and transformations clearly.
  • Communicate technical concepts effectively with cross-functional teams.
  • Participate in code reviews and promote best practices across the team.

Required Qualifications:

  • 3โ€“5 years + ย of professional experience inย data engineeringย or related roles.
  • Strong collaboration skills to work effectively withย Data Scientists, Analysts, and Engineering teams.
  • Ability toย communicate complex technical conceptsย to non-technical stakeholders.
  • Detail-oriented, curious, and committed toย data quality.
  • Capable of managingย multiple prioritiesย in a fast-paced environment.

Technical Skills

  • Python, SQL, and PySpark (highly desired)ย for data processing and pipeline development.
  • Elastic/OpenSearchย for search and analytics solutions.
  • Experience withย AWS cloud servicesย andย Linux environments.
  • Gitย for version control and collaborative development.
  • Understanding ofย machine learning workflowsย andย MLOps concepts.

Working at Edgesource:
As an ISO 9001:2015 certified and CMMI Level 3 appraised small business, Edgesource specializes in providing a variety of technical solutions to includeย software development, database services, enterprise networking, data center virtualization, and management support. We are always seeking top-talent to join our team in helping to address the most critical technical challenges facing our nation.

At Edgesource, we understand that our employees are our greatest asset, and as such we offer a wide array of benefits to support the well-being of our staff to include:

-ย Flexible PTO Policyย + 11 Paid Holidaysย -
-ย Flexible Work Schedules (Remote / Hybrid)ย -
-ย Medical / Dental / Vision / Flexible Spending Account (FSA)ย -
-ย 401k Plan with Matchย -
-ย Tuition & Professional Developmentย Supportย -
-ย Commuter Benefitsย -
-ย Bonus & Employee Referral Programsย -
-ย Career Growth Opportunities -

Disclaimer:

Edgesource Corporation is an affirmative action and equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, disability, age, sexual orientation, gender identity, national origin, veteran status, or genetic information. Edgesource is committed to providing access, equal opportunity and reasonable accommodation for individuals with disabilities in employment, its services, programs, and activities. To request reasonable accommodation, please contact our Recruiting Department by email atย recruiting@edgesource.comย or by phone at (703) 837-0550.