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Data Science Entry Level Remote Jobs in Washington

rockITdata

Full Stack Data Engineer

Arlington, VA · Remote

... life sciences organizations on cutting edge innovations - think AI, automation and data ... This is a Remote position. Key Responsibilities * Data Ingestion and Integration: * Design and ...

Dhalite Inc.

Business Data Analyst (Junior)

Reston, VA · Remote

$27.50 - $37/hr

Remote Experience: 0-2 Years Note: Applicants must be currently authorized to work in the United ... This role is ideal for entry level candidates or individuals starting their career in business ...

Ariadne

NCBI Data Engineer

Bethesda, MD · On-site +1

$122.20K - $146.80K/yr

Overview Ariadne is searching for a Data Engineer to support our work at the attheNational ... remote work. Educational Requirements * B.S. in a STEM field (Engineering, Computer Science ...

ATPCO

Cloud Engineer Intern

Herndon, VA · Remote

$17.25 - $22.25/hr

Remote-First Culture - Flexibility to work from home in your country of hire Inclusive ... Currently pursuing a degree in Computer Science, IT, Data Science, or a related field * Familiarity ...

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Data Science Entry Level Remote information

What are the key skills and qualifications needed to thrive as an entry-level remote Data Scientist, and why are they important?

To thrive as an entry-level remote Data Scientist, you need a solid background in statistics, programming (often Python or R), and data analysis, typically supported by a relevant degree or certification. Familiarity with tools like Jupyter Notebook, SQL databases, and machine learning libraries such as scikit-learn or TensorFlow is commonly required. Strong problem-solving abilities, communication skills, and self-motivation are crucial soft skills for remote collaboration and project management. These competencies enable effective data-driven insights, seamless teamwork, and measurable contributions in a distributed work environment.

What are some typical challenges entry-level data scientists face when working remotely, and how can they overcome them?

Entry-level data scientists working remotely often encounter challenges such as limited access to mentorship, difficulty in collaborating on complex projects, and adjusting to asynchronous communication. To overcome these, it's important to proactively seek guidance from senior team members through regular check-ins, participate actively in team meetings and online forums, and document your work thoroughly for transparency. Leveraging collaborative tools like shared code repositories and communication platforms can also help maintain strong connections with your team and ensure project alignment.

What are data science entry level remote jobs?

Data science entry level remote jobs are positions suitable for individuals who are just starting their careers in data science and prefer or require the flexibility to work from home or any location outside the traditional office setting. These roles typically involve tasks such as data cleaning, basic statistical analysis, creating simple data visualizations, and assisting with machine learning projects under supervision. Entry level data scientists often work closely with more experienced team members and use tools like Python, R, SQL, and Excel. Remote roles require good communication skills and self-motivation, as collaboration happens online. These positions are a great way to gain practical experience and develop technical skills in the field of data science.

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

AspectData Science Entry Level RemoteData Analyst Entry Level Remote
Required CredentialsBachelor's in CS, Statistics, or related field; some knowledge of programming and machine learningBachelor's in Statistics, Mathematics, or related field; proficiency in Excel, SQL, and data visualization tools
Work EnvironmentRemote, collaborative teams, often with cross-functional departmentsRemote, often working independently or with business teams
Employer & Industry UsageTech companies, finance, healthcare, e-commerceBusiness, marketing, finance, healthcare

While both roles are entry-level remote positions involving data, Data Science Entry Level Remote focuses on programming, machine learning, and predictive modeling, whereas Data Analyst Entry Level Remote emphasizes data visualization, reporting, and interpreting data for business insights. Candidates should choose based on their skills and career interests.

What are the most commonly searched types of Data Science Remote jobs in Washington? The most popular types of Data Science Remote jobs in Washington are:
What are popular job titles related to Data Science Entry Level Remote jobs in Washington? For Data Science Entry Level Remote jobs in Washington, the most frequently searched job titles are:
What job categories do people searching Data Science Entry Level Remote jobs in Washington look for? The top searched job categories for Data Science Entry Level Remote jobs in Washington are:
What cities in Washington are hiring for Data Science Entry Level Remote jobs? Cities in Washington with the most Data Science Entry Level Remote job openings:
Data Science Entry Level Remote jobs near you
Infographic showing various Data Science Entry Level Remote job openings in Washington as of May 2026, with employment types broken down into 76% Full Time, 18% Part Time, 2% Temporary, and 4% Contract. Highlights an 100% Remote job distribution.
Full Stack Data Engineer

Full Stack Data Engineer

rockITdata

Arlington, VA • Remote

Full-time

Posted 23 days ago

Job description

Driven by Innovation and built on Trust, rockITdata is a unique SDVOSB services company that partners with leading commercial healthcare/life sciences organizations on cutting edge innovations - think AI, automation and data transformation. We then bring those commercially tested solutions to  government entities to deliver predictable, measurable impact for the American taxpayer and consumer.
We are seeking a talented and experienced Full Stack Data Engineer to join our team. The ideal candidate will have a strong background in both data engineering and software development, with expertise in building end-to-end data solutions. This role offers an exciting opportunity to work on diverse data projects and contribute to the development of innovative data-driven applications. This is a Remote position.
Key Responsibilities
 
  • Data Ingestion and Integration:
    • Design and implement scalable data ingestion pipelines to efficiently collect and process data from various sources.
    • Integrate data from different systems and platforms to create unified datasets for analysis and reporting.
  • Data Storage and Management:
    • Develop and maintain data storage solutions such as data lakes, data warehouses, and NoSQL databases.
    • Optimize data storage and retrieval mechanisms for performance, scalability, and cost-effectiveness.
  • Data Processing and Transformation:
    • Implement data processing workflows for cleaning, transforming, and enriching raw data into usable formats.
    • Apply data transformation techniques such as ETL (Extract, Transform, Load) and ELT (Extract, Load, Transform) processes.
  • Data Modeling and Optimization:
    • Design and implement data models to support analytical and reporting requirements.
    • Optimize data models for query performance, data integrity, and storage efficiency.
  • Software Development and Integration:
    • Build software applications and APIs to expose data services and functionality to other systems and applications.
    • Integrate data engineering workflows with existing software systems and platforms.
  • Monitoring and Maintenance:
    • Establish monitoring and alerting mechanisms to track the health and performance of data pipelines and systems.
    • Conduct regular maintenance activities to ensure the reliability, availability, and scalability of data infrastructure.
  • Documentation and Collaboration:
    • Document data engineering processes, architectures, and solutions to facilitate knowledge sharing and collaboration.
    • Collaborate with cross-functional teams including data scientists, analysts, and business stakeholders to understand requirements and deliver solutions.

Required Qualifications
  • Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
  • Proficiency in programming languages such as Python, Java, or Scala for data engineering and software development.
  • Expert-level skills in data visualization platforms beyond Tableau and Power BI (e.g. Qlik) 
  • Strong understanding of database concepts, data modeling techniques, and SQL programming.
  • Hands-on experience with cloud platforms such as AWS, Azure, or GCP for building and deploying data solutions.
  • Knowledge of data warehousing concepts and technologies (e.g., Redshift, BigQuery, Snowflake).
  • Familiarity with version control systems (e.g., Git) and software development best practices (e.g., Agile, CI/CD).

Preferred Qualifications
 
  • Experience building solutions for Commercial clients in Pharma, Biotech, CPG, Retail or Manufacturing industries.
  • Experience with containerization technologies such as Docker and orchestration tools like Kubernetes.
  • Knowledge of streaming data processing frameworks (e.g., Apache Flink, Apache Kafka Streams).
  • Familiarity with data governance and security practices for protecting sensitive data.
  • Strong problem-solving skills and the ability to troubleshoot complex data engineering issues.
  • Excellent communication skills and the ability to collaborate effectively in a team environment.
#LIREMOTE


Here at rockITdata, we are committed to following our 10 Guiding Principles.
Our Guiding Principles define our culture. They’re who we are, how we work, and what inspires us to be the best. We empower our people to be themselves and encourage an entrepreneurial way of thinking. In our challenging, fast-paced environment, no day is the same.

Know the Why.

Value People Above All Else.

Transparency to a Fault.

Progress, Not Perfection.

Be Good by Doing Good.

Smart People Can Disagree.

Bend but Don’t Break.

Represent Your Brand.

Think Differently.

Be Amazing, Be Fearless, Smile, Have Fun!

Interested in joining something unique? Join us on our rockIT ship as we begin to blast off to the next chapter in our organization!


rockITdata has become aware of a recruitment scam where unauthorized individuals are impersonating rockITdata recruiters, issuing fake job offers, and attempting to setup payment for the job seeker’s new hire costs. No one is ever required to complete any monetary transactions before starting employment with rockITdata. Legitimate rockITdata communications only come from @rockitdata.com email addresses and our official Applicant Tracking system, JazzHR (@applytojob.com email addresses). Please refer to our official Careers page at www.rockitdata.com/careers to accurately submit your application with us. You may also verify any suspicious communication by contacting our recruitment team directly through our official email, dreamjob@rockitdata.com.


rockITdata is an equal opportunity employer and is committed to non-discrimination in all employment practices and decisions. All qualified applicants will receive consideration for employment without regard to disability status, veteran status or any characteristic protected by Federal, state, or local law.


rockITdata wants all interested and qualified candidates to be able to use our career site to review and apply for employment opportunities. If you have a disability and need an accommodation to access the application process, please contact us for assistance at dreamjob@rockitdata.com.

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