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Data Science Entry Level Remote Jobs in Washington

Eliassen Group

ETL Data Engineer

Tysons, VA · Remote

$70 - $88/hr

Description: Hybrid 3 days onsite / 2 days remote in Mclean, VA Our client seeks an ETL Data ... Bachelor's degree in Computer Science, Data Science, Information Systems, or related discipline ...

Emmes

Data Manager

Rockville, MD · On-site +1

Overview Clinical Data Manager - Temp to Hire US - Remote Note for Applicants: This position will ... Bachelor's degree, preferably in a public health, clinical, science, technical, or related ...

Emmes Group

Data Manager

Rockville, MD · On-site +1

Overview Clinical Data Manager - Temp to Hire US - Remote Note for Applicants: This position will ... Bachelor's degree, preferably in a public health, clinical, science, technical, or related ...

NT Concepts

Machine Learning Engineer

Chantilly, VA · On-site +1

If cutting edge data science projects resonate with you, and you care deeply about joining a ... Vienna, VA and Chantilly, VA with remote flexibility Responsibilities: As a Machine Learning ...

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 ...

Ariadne

NCBI Data Engineer

Bethesda, MD · On-site +1

$122K - $146K/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 ...

Axiologic Solutions LLC

AGS Scientist

Springfield, VA · On-site +1

Participate in data analysis TEMs along with NRFDS and/or Radiance contractors and NGA scientists ... M.S. degree in physics, engineering, or remote-sensing, or equivalent work experience. Experience ...

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Data Science Entry Level Remote information

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 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 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 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 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 June 2026, with employment types broken down into 100% Full Time. Highlights an 100% Remote job distribution.
ETL Data Engineer

ETL Data Engineer

Eliassen Group

Tysons, VA • Remote

$70 - $88/hr

Contractor

Medical, Dental, Vision, Life, Retirement

Posted 23 days ago

Job description

Description:

Hybrid 3 days onsite / 2 days remote in Mclean, VA

Our client seeks an ETL Data Engineer to build and maintain large-scale data pipelines and to design agentic AI systems that support regulatory analytics. The role spans Spark-based ETL on AWS data lake platforms and development of LLM-powered agents with secure, auditable outputs. The engineer will collaborate across teams, uphold secure development practices, and contribute to CI/CD and infrastructure-as-code while monitoring data quality and production performance.

We can facilitate w2 and corp-to-corp consultants. For our w2 consultants, we offer a great benefits package that includes Medical, Dental, and Vision benefits, 401k with company matching, and life insurance.

Rate: $70.00 to $88.00/hr. w2

Responsibilities:
  • Build and maintain ETL/ELT pipelines using Apache Spark, Hive, and Trino across S3-based data lakes.
  • Develop and optimize SQL for large-scale surveillance datasets using window functions, joins, and complex aggregations.
  • Engineer big data systems on EMR-on-EC2 and EMR-on-EKS and deliver solutions on analytical platforms such as SageMaker, Domino, or Dataiku.
  • Participate in data quality monitoring, anomaly detection, and production incident investigation.
  • Develop AI agent systems using AWS Bedrock and agent frameworks such as Strands Agents SDK or LangChain/LangGraph.
  • Design agent harnesses that combine LLM reasoning with deterministic execution including skill or RAG-based SQL generation and structured output validation.
  • Implement agent memory, context management, and tool integration including MCP servers, API connectors, and data catalog lookups.
  • Build evaluation frameworks for agent accuracy covering paraphrase robustness, routing precision, and structural consistency.
  • Stay informed on advances in LLM frameworks and emerging AI capabilities.
  • Write clean, well-tested code and contribute to CI/CD pipelines and infrastructure-as-code on AWS.
  • Ensure secure handling of sensitive regulatory data with auditable execution traces.
  • Adhere to secure development practices and technology policies.
  • Partner across teams, communicate at the appropriate technical level, and maintain documentation on Confluence or Wiki.
  • Learn from senior team members and contribute to process improvement.
Experience Requirements:
  • Experience building data pipelines with Apache Spark (PySpark preferred) and SQL.
  • Experience with SQL engines such as Hive or Trino and cloud data platforms including AWS S3, EMR, and Lambda.
  • Understanding of data skew, large-volume processing, and troubleshooting job failures due to resources, data quality, and scalability.
  • Hands-on debugging and mitigation experience.
  • Practical experience building LLM-powered agent systems that use tools and produce structured outputs.
  • Experience with agent frameworks such as LangChain, LangGraph, or AWS Strands.
  • Knowledge of prompt engineering, RAG architectures, and context or memory management.
  • Experience with foundation model APIs such as Anthropic Claude, Amazon Nova, or OpenAI.
  • Understanding of agent memory tiers and strategies for persistence, pruning, and retrieval.
  • Familiarity with harness patterns including deterministic guardrails, tool routing, and verification loops.
  • Hands-on experience with AI development tools such as GitHub Copilot, Q Developer, ChatGPT, or Claude.
  • Experience with spec-driven development for AI-assisted code generation and validation.
  • Ability to leverage AI pair programming for suggestions, debugging, refactoring, and automated test generation.
  • Experience with AWS services including S3, EMR, EMR on EKS, Lambda, Bedrock, and Step Functions.
  • Hands-on experience using S3 with Spark and related file format or consistency considerations.
  • Familiarity with AWS Bedrock guardrails, knowledge bases, and agent orchestration.
  • Exposure to Google Cloud Vertex AI or equivalent managed AI platforms.
  • Familiarity with AWS monitoring and logging tools such as CloudWatch and CloudTrail.
  • Proficiency in Python with clean, modular, and performant code and understanding of functional concepts.
  • Strong understanding of collections, concurrency, and memory management.
  • Proficiency with SQL window functions, joins, aggregations, and complex query optimization including edge cases.
Education Requirements:
  • Bachelor's degree in Computer Science, Data Science, Information Systems, or related discipline with at least two years of related experience, or equivalent training and work experience. Financial services experience preferred.
  • Demonstrated expertise in object-oriented and database technologies resulting in enterprise-quality solutions.
  • Knowledge of software engineering approaches including test automation, build automation, and configuration management.
  • Strong written and verbal technical communication skills and effective cross-team collaboration.
  • Ability to learn new skills rapidly and operate in a fast-paced environment.
Recruitment Transparency Notice
 
Eliassen Group values transparency in our recruitment practices. Please be advised that Eliassen Group utilizes artificial intelligence (AI) tools as part of its initial application screening and hiring process. You may receive email and SMS notifications from the Eliassen Virtual Recruiting Team (noreply@eliassen.com, 781-808-2924) inviting you to complete a brief voice screening as part of your application process. These tools assist our hiring teams in different ways, including but not limited to, assistance in reviewing application materials to help identify candidates whose qualifications most closely match the requirements of the position. All AI-assisted evaluations and responses are reviewed by human recruiters before any hiring decisions are made. The use of AI in our process is intended to support fairness, efficiency, and consistency, and Eliassen Group takes measures to prevent bias or discrimination in connection with its hiring practices. By proceeding, you acknowledge, agree, and consent to Eliassen Group’s use of these tools, including AI tools, as part of the application and hiring process.
 

Skills, experience, and other compensable factors will be considered when determining pay rate. The pay range provided in this posting reflects a W2 hourly rate; other employment options may be available that may result in pay outside of the provided range.W2 employees of Eliassen Group who are regularly scheduled to work 30 or more hours per week are eligible for the following benefits: medical (choice of 3 plans), dental, vision, pre-tax accounts, other voluntary benefits including life and disability insurance, 401(k) with match, and sick time if required by law in the worked-in state/locality.If anyone reaches out to you about an open position connected with Eliassen Group, please ensure that you are working directly with us by confirming the following:

· When you work with Eliassen Group, all email communication will come from an Eliassen.com address, never Gmail, Yahoo, etc.

· Eliassen Group will never ask you for personal information (home address, bank account, or check routing number) until you have worked with someone clearly associated with Eliassen Group.

If you have any indication of fraudulent activity, please contact fraud@eliassen.com.

 
About Eliassen Group:
 
Eliassen Group is a strategic consulting firm that helps organizations reach further and achieve more through our technology, business advisory, and life sciences solutions. For nearly 40 years, we have combined exceptional people, deep domain expertise, and intelligent capabilities to expand our clients’ capacity and accelerate meaningful outcomes. We are driven by a purpose to positively impact the lives of our employees, clients, consultants, and the communities we serve.
 
Eliassen is committed to building a diverse and inclusive team from a variety of backgrounds, perspectives, and skills. We are an Equal Opportunity and Affirmative Action Employer and all employment decisions are based on merit, performance, and business needs. Eliassen does not discriminate on the basis of race, color, gender identity or expression, sexual preference or orientation, sex (including pregnancy, childbirth, and related medical conditions), marital status, creed, religion, physical or mental disability, genetic information, military or veteran status, age, ancestry, national origin, citizenship status, prohibited criminal record inquiries of applicants and employees, or any other category protected by federal, state, or local laws.
 
Don’t miss out on our referral program! If we hire a candidate that you refer us to then you can be eligible for a $1,000 referral check!
 
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About Eliassen Group

Sourced by ZipRecruiter

Eliassen Group provides strategic consulting and talent solutions to drive our clients' innovation and business results. Our purpose is to positively impact the lives of our employees, clients, consultants, and the communities in which we operate. Leveraging over 30 years of success, our expertise in talent solutions, life sciences consulting, Agile consulting, cloud services, risk management, business optimization, and managed services enables us to partner with our clients to execute their business strategy and scale effectively. Headquartered in Reading, MA, and with offices from coast to coast, Eliassen Group offers local community presence and deep networks, as well as national reach.

Industry

It services

Company size

5,001 - 10,000 Employees

Headquarters location

Reading, MA, US

Year founded

1989

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