Top 4 Junior data engineer Jobs in Columbia, Md

Junior Data Engineer
Capital Technology Group —Silver Spring, MD
- $75,000 - $115,000 a year
- Full-time
- Hybrid work
- Computer Science
- 5 years
- Java
- Disability insurance
- Health insurance
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AI, ML and Data Science Engineer Junior
RealmOne —Columbia, MD
- $89,000 - $119,000 a year
- Full-time
- Bachelor of Science
- 3 years
- Java
- Paid training
- Paid parental leave
11d
Junior Software Data Engineer
Peraton —Fort Meade, MD
- $104,000 - $166,000 a year
- Full-time
- Computer science
- Computer Science
- Engineering
- Health savings account
- Paid holidays

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Junior Data Engineer

Capital Technology Group
Silver Spring, MD

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Job Details

Full-time
$75,000 - $115,000 a year

Benefits

Disability insurance
Health insurance
Dental insurance
Paid time off
401(k) 4% Match
Employee assistance program
Vision insurance
401(k) matching
Life insurance

Qualifications

Data model design
Cloud analytics services
Software engineering
Data Integration (Data management)
Cloud data warehouses
Data modeling projects
NoSQL
Schema design
Java
System maintenance
SQL
ETL process automation
AWS Glue
Query execution time improvement
Cloud Native Design
Agile software development
S3
Cloud solution engineering
Redshift
Query management
RDS database
Python
Cross-functional communication
AWS Lambda

Full 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.

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junior data engineer jobs in columbia, md

Junior Data Engineer

AI, ML and Data Science Engineer Junior

Junior Software Data Engineer

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