2

Entry Level Data Science Jobs in Annapolis, MD (NOW HIRING)

Data Engineer I

Washington, DC · On-site +1

$85K/yr

About the Role We're hiring an entry-level Data Engineer to join our Data Engineering team. You'll ... Data Scientists). * Exposure to CI/CD for analytics (dbt Cloud/Jobs, GitHub Actions). * Domain ...

Currently, We are looking for entry-level software programmers, Java Full stack developers, Python/Java developers, Data analysts/Data Engineers/ Data Scientists, Machine Learning engineers for ...

Degree in Information Technology, Cybersecurity, Computer Science, or related field (or equivalent ... Prior internship, academic project, or entry-level experience in security or compliance is a plus.

New

Degree in Information Technology, Cybersecurity, Computer Science, or related field (or equivalent ... Prior internship, academic project, or entry-level experience in security or compliance is a plus.

New

Showing results 21-40

Entry Level Data Science information

See Annapolis, MD salary details

$10

$18

$26

How much do entry level data science jobs pay per hour?

As of Aug 14, 2026, the average hourly pay for entry level data science in Annapolis, MD is $18.86, according to ZipRecruiter salary data. Most workers in this role earn between $15.96 and $21.20 per hour, depending on experience, location, and employer.

What is an entry level data scientist?

Entry level data science jobs are positions designed for individuals who are starting their careers in the field of data science, often requiring minimal professional experience. These roles typically involve working with data collection, cleaning, and analysis, as well as assisting more senior data scientists with projects. Entry level data scientists are expected to have a foundational understanding of statistics, programming (often in Python or R), and basic machine learning concepts. They may work in various industries, helping organizations gain insights from data to support decision-making.

What types of projects or tasks can I expect to work on as an entry level data scientist?

As an entry-level data scientist, you'll typically work on tasks such as data cleaning, exploratory data analysis, and supporting the development of predictive models. You may also assist in preparing datasets, generating reports, and visualizing data for stakeholders. Collaboration with more senior data scientists and cross-functional teams like engineering or business analysts is common, giving you opportunities to learn and grow your technical and communication skills. These foundational projects are essential for building your expertise and preparing for more complex responsibilities as you advance in your career.

What are the key skills and qualifications needed to thrive as an entry level data scientist, and why are they important?

To thrive as an Entry Level Data Scientist, you need a strong background in statistics, programming (often Python or R), and data analysis, typically supported by a relevant degree such as computer science, mathematics, or statistics. Familiarity with technical tools like SQL databases, data visualization software (e.g., Tableau), and machine learning libraries (such as scikit-learn or TensorFlow) is commonly expected. Curiosity, problem-solving ability, and effective communication help you interpret data insights and collaborate with diverse teams. These skills ensure you can extract meaningful insights from data, contribute to data-driven decision-making, and grow within the analytics field.

What is the difference between Entry Level Data Science vs Data Analyst?

AspectEntry Level Data ScienceData Analyst
Required CredentialsBachelor's in CS, Statistics, or related field; some certificationsBachelor's in Business, Statistics, or related field; certifications optional
Work EnvironmentTech companies, startups, research labsBusiness, marketing, finance sectors
Employer & Industry UsageData-driven roles in tech and researchBusiness insights, reporting, and visualization
Common Search & ComparisonYesYes

Entry Level Data Science and Data Analyst roles often share similar educational backgrounds and work environments. However, data scientists typically focus on building models and advanced analytics, while data analysts concentrate on interpreting data and creating reports. Both roles are essential in data-driven organizations, but they differ in technical complexity and scope.

What are the most commonly searched types of Data Science jobs in Annapolis, MD?

The most popular types of Data Science jobs in Annapolis, MD are:

What are popular job titles related to Entry Level Data Science jobs in Annapolis, MD?

For Entry Level Data Science jobs in Annapolis, MD, the most frequently searched job titles are:

What job categories do people searching Entry Level Data Science jobs in Annapolis, MD look for?

The top searched job categories for Entry Level Data Science jobs in Annapolis, MD are:

What cities near Annapolis, MD are hiring for Entry Level Data Science jobs?

Cities near Annapolis, MD with the most Entry Level Data Science job openings:

Infographic showing various Entry Level Data Science job openings in Annapolis, MD as of August 2026, with employment types broken down into 1% As Needed, 80% Full Time, 16% Part Time, and 3% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $39,230 per year, or $18.9 per hour.

Data Engineer I

Inroads

Washington, DC • On-site, Remote

$85K/yr

Full-time

Medical, Retirement, PTO

This job post has expired today. Applications are no longer accepted.


Job description

About Inroads:

Inroads applies data, analytics, technology, research, and content development to co-create services and programs that are personalized, relevant, and engaging for the communities who rely on them. Our deep understanding of digital services, policy implementation, and how communities consume information allows us to seamlessly integrate with organizations and public-sector teams to revolutionize how they deliver complex services at scale.

About the Role

We’re hiring an entry-level Data Engineer to join our Data Engineering team. You’ll take ownership of building reliable ELT/ETL pipelines and strong analytical data models using dbt. You don’t need to know everything on day one, but you must be eager to learn, experiment, and grow quickly.

In this position, you will:

  • Build, test, and document dbt models (staging, intermediate, marts) aligned to Kimball dimensional modeling best practices.
  • Implement data quality checks (dbt tests, sources, freshness) and contribute to monitoring data reliability.
  • Collaborate with analytics, product, and domain stakeholders to translate business needs into well-modeled datasets.
  • Proactively audit, define, and standardize key business metrics in collaboration with stakeholders to ensure consistency and trust across reporting platforms.
  • Support source onboarding and ingestion from APIs, files, or databases into the warehouse.
  • Maintain clear documentation for datasets, lineage, and transformation logic.
  • Assist with CI/CD for analytics code (Git workflows, PR reviews, environments).
  • Optimize model performance (incremental strategies, partitions/clustering, query tuning).
  • Troubleshoot pipeline/data issues and contribute to root-cause analyses.
  • Proactively identify improvement opportunities and drive them to completion with high ownership.

What we are seeking:

  • 2 years of experience in data engineering, analytics engineering, or related field (internships, coursework, and projects encouraged) OR an undergraduate degree or higher in a related field
  • Proficiency in SQL; able to write clean, performant queries.
  • Practical experience with dbt (models, tests, documentation, sources; familiarity with Jinja/macros is a plus).
  • Solid grasp of Kimball dimensional modeling (star/snowflake schemas, facts and dimensions, SCDs).
  • Demonstrated ability to translate complex business logic into efficient, technical data structures.
  • Understanding of data warehousing and ELT/ETL patterns.
  • Familiarity with Git and collaborative development workflows.
  • Strong problem-solving and communication skills; attention to detail.
  • Demonstrated willingness to learn quickly and take ownership of outcomes.

Additional experience to stand out:

  • Workflow orchestration experience (Airflow, Dagster, Prefect).
  • Cloud data warehouse exposure (Snowflake preferred).
  • Basic Python skills for data tasks (ETL scripts, API integrations).
  • Experience with data testing/observability tools and lineage documentation.
  • Experience designing and implementing data models specifically for consumption by internal technical teams (Data Analysts, Data Scientists).
  • Exposure to CI/CD for analytics (dbt Cloud/Jobs, GitHub Actions).
  • Domain knowledge of the U.S. healthcare insurance marketplace (Healthcare.gov) data and metrics.

What We Offer:

Inroads offers a friendly work environment and competitive compensation and benefits package including:

  • Salary: $85,000
  • Premier health insurance plan
  • 401K matching
  • Unlimited vacation leave
  • Paid sick, personal, and volunteer leave
  • 13 paid holidays
  • 15 weeks paid parental leave
  • Professional development stipend & tuition reimbursement
  • Employee Assistance Program (EAP)
  • Supportive & collaborative culture 
  • Flexible working hours
  • Remote friendly (within the U.S.)
  • And more! 

The salary range for candidates who meet the minimum posted qualifications reflects the Company’s good faith understanding and belief as to the wage range, and is accurate as of the date of this job posting.

At Inroads, we celebrate, support and thrive on differences. Not only do they benefit our services, products, and community, but most importantly, they are to the benefit of our team. Qualified people of all races, ethnicities, ages, sex, genders, sexual orientations, national origins, gender identities, marital status, religions, veterans statuses, disabilities and any other protected classes are strongly encouraged to apply. Inroads endeavors to make reasonable accommodations for qualified applicants with a disability unless the accommodation would impose an undue hardship on the operation of our business. If an applicant believes they require such assistance to complete the application or to participate in an interview, or has any questions or concerns, they should contact the Senior Director, People Operations.  Inroads participates in E-verify. EEO is the Law.

Collection of Personal Information Notice:

As you are likely aware, by submitting your job application, you are submitting personal information to our company. We collect various categories of personal information, including identifiers, protected classifications, professional or employment related information and sensitive personal information. We may retain and use this information for up to three years, in order to come to a decision on whether or not you are a good fit for our company. We may also retain or use some of this information to comply with any requirements under law, or for purposes of defending ourselves in any litigation. We do not use this information for any other purpose, or share it with third parties, unless you become an employee. To learn more, or to see our full Notice to Job Applicants, please click here.