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Junior Data Engineering Jobs in Baltimore, MD (NOW HIRING)

Lentech Inc

Junior Data Scientist

Fort George G Meade, MD · On-site

$131K - $140K/yr

Lentech is actively interviewing for a JUNIOR Data Scientist * 1+ years of experience in statistics ... Lentech's Mission Technical Solutions Division is focused on providing engineering, operations, I&T ...

asrcfh

Junior Data Scientist

Greenbelt, MD

ASRC Federal AFSS is a premier provider of systems engineering, software engineering, system ... We are seeking a Data Scientist / Machine Learning to provide junior-level support a NASA contract ...

New

asrcfh

Junior Data Scientist

Greenbelt, MD · On-site

ASRC Federal AFSS is a premier provider of systems engineering, software engineering, system ... We are seeking a Data Scientist / Machine Learning to provide junior-level support a NASA contract ...

New

STScI

Software Engineer, II

Baltimore, MD · On-site

$96K - $132K/yr

We are seeking a Software Engineer, II /Junior Data Engineer to join our Data Management Division. In this role, you will help build and support the backend data infrastructure that powers the ...

ASRC Federal Holding

Junior Data Scientist

Greenbelt, MD · On-site

$64K - $96K/yr

We are seeking a Data Scientist / Machine Learning to provide junior-level support a NASA contract ... Strong programming skills: Python, R, SQL, MATLAB, SAS, HTML/CSS; experience with PyTorch ...

New

Parsons Corporation

Senior Data Scientist

Aberdeen, MD · On-site

Mentor junior data scientists and data engineers, providing technical guidance on methods, tools, and best practices * Contribute to technical reviews, design walkthroughs, and continuous improvement ...

Parsons

Senior Data Scientist

Aberdeen, MD · On-site

Mentor junior data scientists and data engineers, providing technical guidance on methods, tools, and best practices * Contribute to technical reviews, design walkthroughs, and continuous improvement ...

Standvast Fulfillment

Senior Data Engineer

Columbia, MD · On-site

$103K - $140K/yr

... engineering best practices • Mentor junior data engineers and analysts, leading by example • Maintain high operational excellence, participating in the team on-call support rotation and ...

Accenture Federal Services

Jr. Data Scientist

Annapolis, MD · On-site

$90K - $120K/yr

AFS is looking for a Jr. Data Scientist to support our nation's most critical missions. If you love ... Experience with automated feature engineering or model selection tools * Knowledge of data privacy ...

Accenture Federal Services

Jr. Data Scientist

Annapolis, MD · On-site

$90K - $120K/yr

AFS is looking for a Jr. Data Scientist to support our nation's most critical missions. If you love ... Experience with automated feature engineering or model selection tools * Knowledge of data privacy ...

standvast

Senior Data Engineer

Columbia, MD

$105K - $142K/yr

Build high quality solutions that implement engineering best practices * Mentor junior data engineers and analysts, leading by example * Maintain high operational excellence, participating in the ...

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All JobsData Engineering JobsJunior Data Engineering JobsJunior Data Engineering Jobs in Baltimore, MD

Junior Data Engineering information

See Baltimore, MD salary details

$33.3K

$71.3K

$108.8K

How much do junior data engineering jobs pay per year?

As of Aug 24, 2026, the average yearly pay for junior data engineering in Baltimore, MD is $71,343.00, according to ZipRecruiter salary data. Most workers in this role earn between $48,200.00 and $79,500.00 per year, depending on experience, location, and employer.

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 the key skills and qualifications needed to thrive as a junior data engineer?

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 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 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 most commonly searched types of Data Engineering jobs in Baltimore, MD?

The most popular types of Data Engineering jobs in Baltimore, MD are:

What are popular job titles related to Junior Data Engineering jobs in Baltimore, MD?

For Junior Data Engineering jobs in Baltimore, MD, the most frequently searched job titles are:

What job categories do people searching Junior Data Engineering jobs in Baltimore, MD look for?

The top searched job categories for Junior Data Engineering jobs in Baltimore, MD are:

What cities near Baltimore, MD are hiring for Junior Data Engineering jobs?

Cities near Baltimore, MD with the most Junior Data Engineering job openings:

Junior Data Engineering jobs near you
Infographic showing various Junior Data Engineering job openings in Baltimore, MD as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 12% Part Time, and 4% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $71,343 per year, or $34.3 per hour.

Junior Data Engineer

Capital Technology Group

Silver Spring, MD

$75K - $115K/yr

Full-time

Posted 27 days ago

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.