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Junior Data Engineering Jobs in Washington (NOW HIRING)

S3b Global Inc

Jr. Data Engineer - IICS

West Mclean, VA · On-site

$45 - $50/hr

Job Title - Jr. Data Engineer - IICS Location - 5 Days onsite in McLean, VA, Locals only. Visa - No H1B & OPT Duration - 6 Months Rate - $45-50/hr on W2 Interview - in-person Client - Freddie Mac ...

ASM Research

Data Engineer Junior

Fairfax, VA · On-site

$116K - $140K/yr

Position Overview The Junior Data Engineer supports the design, development, and maintenance of ... Typically 1-3 years of experience in data engineering, data development, or a closely related field ...

Serviss

Data Pipeline Engineer (Junior - Mid)

Arlington, VA · On-site +1

$131K - $158K/yr

Data Pipeline Engineer (Junior - Mid) Location: Washington D.C. Area / Remote Employment Type ... The Work This is a hands-on engineering role. The selected candidate will: * Build, configure, and ...

SERVISS LLC

Data Pipeline Engineer (Junior - Mid)

Arlington, VA · Remote

$117K - $140K/yr

Data Pipeline Engineer (Junior - Mid)Location: Washington D.C. Area / Remote Employment Type: Full ... The WorkThis is a hands-on engineering role. The selected candidate will: * Build, configure, and ...

Cape Fox Corporation

Data Engineer

Fort Belvoir, VA · On-site

$185K - $220K/yr

Top Secret with SCI eligibility and CI polygraph 8+ years in data engineering/database ... Coordinate with software developers for data integration; provide technical leadership to junior ...

Cape Fox SS

Data Engineer

Fort Belvoir, VA · On-site

$185K - $220K/yr

Top Secret with SCI eligibility and CI polygraph 8+ years in data engineering/database ... Coordinate with software developers for data integration; provide technical leadership to junior ...

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All JobsData Engineering JobsJunior Data Engineering JobsJunior Data Engineering Jobs in Washington

Junior Data Engineering information

See Washington salary details

$37.9K

$81.3K

$124K

How much do junior data engineering jobs pay per year?

As of Jul 30, 2026, the average yearly pay for junior data engineering in Washington is $81,320.00, according to ZipRecruiter salary data. Most workers in this role earn between $54,900.00 and $90,600.00 per year, depending on experience, location, and employer.

What is the difference between Junior Data Engineering vs Data Analyst?

AspectJunior Data EngineeringData Analyst
Required SkillsBasic SQL, Python, data pipeline knowledgeData visualization, SQL, Excel
CertificationsEntry-level certifications in data engineering or related fieldsCertifications in data analysis or visualization tools
Work EnvironmentData engineering teams, IT departmentsBusiness units, marketing, finance teams
Industry UsageBuilding and maintaining data pipelines and infrastructureInterpreting data, creating reports and dashboards

Junior Data Engineering focuses on developing and maintaining data pipelines and infrastructure, requiring skills in SQL and Python. Data Analysts interpret data and create reports, often using visualization tools. While both roles work with data, Junior Data Engineers handle data flow and storage, whereas Data Analysts focus on data interpretation and insights.

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

To thrive as a Junior Data Engineer, you need a solid understanding of data structures, SQL, and programming languages like Python or Java, often supported by a degree in computer science or a related field. Familiarity with ETL tools, cloud platforms (such as AWS or Azure), and data warehousing solutions is typically required. Strong problem-solving abilities, attention to detail, and effective communication help you excel in team environments and manage complex data workflows. These skills ensure you can reliably build, maintain, and optimize data pipelines that support organizational decision-making.

What does a Junior Data Engineer do?

A Junior Data Engineer typically assists in designing, building, and maintaining data pipelines and databases to support analytics and business needs. They work with large datasets, ensuring data is collected, stored, and processed efficiently and accurately. Responsibilities often include data cleaning, ETL (Extract, Transform, Load) processes, and collaborating with data analysts and other engineers. Junior Data Engineers are usually early in their careers and work under the guidance of more experienced data engineers while developing their technical and problem-solving skills.

What are some typical challenges a Junior Data Engineer may face when starting out, and how can they overcome them?

As a Junior Data Engineer, one common challenge is adapting to complex data infrastructure and unfamiliar tools or frameworks. You may also find it challenging to ensure data quality and consistency while working with large datasets. Collaborating closely with senior engineers and asking questions is key to overcoming these hurdles. Taking advantage of onboarding resources, documentation, and code reviews will help you learn best practices and improve your skills quickly. Embracing continuous learning and seeking feedback will set you up for long-term growth in data engineering.
What are the most commonly searched types of Data Engineering jobs in Washington? The most popular types of Data Engineering jobs in Washington are:
What are popular job titles related to Junior Data Engineering jobs in Washington? For Junior Data Engineering jobs in Washington, the most frequently searched job titles are:
What job categories do people searching Junior Data Engineering jobs in Washington look for? The top searched job categories for Junior Data Engineering jobs in Washington are:
What cities in Washington are hiring for Junior Data Engineering jobs? Cities in Washington with the most Junior Data Engineering job openings:
Junior Data Engineering jobs near you
Infographic showing various Junior Data Engineering job openings in Washington as of July 2026, with employment types broken down into 1% As Needed, 82% Full Time, 12% Part Time, 1% Temporary, and 4% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $81,320 per year, or $39.1 per hour.

Junior Data Engineer

Capital Technology Group

Silver Spring, MD

$75K - $115K/yr

Full-time

Posted 3 days ago

New

Job description

Capital Technology Group provides expert consulting services software development, digital transformation, human-centered design, data analytics and visualization, and cybersecurity.

Our multidisciplinary teams use agile methodologies to rapidly and incrementally deliver value in close collaboration with our clients. For over a decade, we have been trusted by both federal and commercial clients to solve complex, mission-critical business challenges. The quality of our work has been recognized by our partners and peers through our inclusion in the Digital Services Coalition, a group of forward- thinking firms recognized for excellence in delivering IT services.

Client Requirements: applicants MUST BE US Citizens and be able to obtain Public Trust clearance

The CTG Experience

At Capital Technology Group (CTG), our teams are passionate about modernizing how the federal government delivers software. We partner with federal agencies to build secure, scalable, and mission-driven solutions that make a meaningful impact on millions of people. Recognized by The Washington Post as a Top Workplace in 2025 and 2026. CTG fosters a culture rooted in our core values. Our values guide how we work together and support one another, creating an environment where employees feel trusted, empowered, and encouraged to grow both personally and professionally.

About the Role

CTG is seeking a Junior Data Engineer to design, build, and maintain scalable, efficient data pipelines and systems following modern data engineering best practices. The Junior Data Engineer will partner with other Data Engineers to evaluate and prototype new tools and technologies, assessing their risks and benefits to deliver exceptional value to our clients.

You Will Get To
  • Design, build, and maintain scalable data pipelines, ETL/ELT workflows, and data models using Databricks, dbt, Apache Spark (PySpark), SQL (PostgreSQL), and Python.
  • Develop and optimize AWS-native data solutions leveraging services including AWS Glue, Amazon EMR, Amazon MWAA (Apache Airflow), Lambda, Step Functions, Amazon S3, Redshift, RDS, DMS, and CloudWatch.
  • Build high-performance data ingestion, transformation, and orchestration workflows across structured and semi-structured data using Parquet, ORC, Avro, and Apache Iceberg.
  • Integrate data from enterprise and external sources, including relational and NoSQL databases such as PostgreSQL, Oracle, Redshift, GraphDB, and other NoSQL platforms.
  • Improve the reliability, scalability, performance, and maintainability of enterprise data platforms through monitoring, troubleshooting, and continuous optimization.
  • Develop and maintain automated deployment pipelines using Harness and collaborate on cloud infrastructure and platform improvements.
  • Support data engineering efforts powering mission-critical analytics, reporting, and decision-making across large-scale federal data environments.
  • Collaborate with cross-functional teams in an Agile environment to define requirements, deliver high-quality data solutions, and continuously improve engineering processes.
Who You Are
  • A strategic data engineer who enjoys designing complex systems and solving complex challenges
  • Strong in modern cloud-based solution design
  • Comfortable balancing business needs with technical constraints and long-term strategy
  • A strong communicator
  • Collaborative, proactive, and comfortable navigating ambiguity
Qualifications
  • Bachelor's degree in Computer Science, Engineering, or a related technical field
  • 5 years of professional experience in data engineering or related domains
  • Strong hands-on experience with:
    • Deep hands-on experience with Databricks for large-scale data engineering, ETL/ELT development, and data transformation.
    • Strong proficiency with Dbt, SQL (PostgreSQL), Python, Java, AWS (Redshift, RDS, S3, Glue, Lambda, DMS, CloudWatch), Data Pipelines, Data Modeling, System Maintenance, Data Integration, Performance Optimization.
    • AWS native.
  • Strong analytical and problem-solving skills
  • Experience working in agile, iterative software development environments
  • Ability to quickly learn and apply new technologies and domain knowledge
  • Excellent written and verbal communication skills, with the ability to explain complex topics to diverse audiences
Nice to Have
  • Experience with Kafka (streaming/data pipelines)
  • Experience with Docker and Kubernetes for containerization and orchestration
  • Proficiency with Splunk for log aggregation and system monitoring
  • Experience using Terraform for infrastructure automation and management
  • Strong SQL skills, including performance tuning and complex query design
Salary

We are committed to offering a competitive salary for this position, with an estimated range of $75k to $115k annually. Please note that this range is intended to provide a general idea of what to expect; however, the final offer may vary based on experience, skills, and other factors. The stated range is not a guarantee and is subject to change.

Full Time Employee Benefits
  • Remote Work (Hybrid roles will be specified in the job post)
  • Competitive Compensation Package
  • Medical, Dental, and Vision
  • Life Insurance, Short/Long Term Disability
  • Employee Assistance Program
  • 401(k) with 4% matching
  • Liberal PTO vacation policy
  • Generous Annual Continuing Education
  • Annual Wellness Budget
  • Bonus Incentive Programs (Employee referrals and performance-based rewards)

Thanks for your interest in Capital Technology Group!

Capital Technology Group is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, or any other characteristic protected by law.