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Entry Level Startup Data Engineer Jobs in Washington

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Principal Data Scientist

Washington, DC · On-site

... Data Engineer Associate o AWS Machine Learning Engineer Associate o AWS AI Practitioner ... Professional o Python (Entry Level / Associate / Professional) Apply Now Refer to a Friend ...

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Bechtel

Startup & Operations Coordinator

Reston, VA · On-site

$140K - $203K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Supports aggregation and reporting of Business Unit-level CSU data * Interfaces with engineering, construction, quality, project controls, and client organizations * Collaborates with Project Startup ...

Bechtel

Startup & Operations Coordinator

Reston, VA · On-site

$140K - $203K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Supports aggregation and reporting of Business Unit-level CSU data * Interfaces with engineering, construction, quality, project controls, and client organizations * Collaborates with Project Startup ...

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Entry Level Startup Data Engineer information

What does an entry level startup data engineer do?

An Entry Level Startup Data Engineer is responsible for building and maintaining the data infrastructure that supports a startup's analytics and business operations. They typically work with databases, data pipelines, and cloud platforms to collect, process, and store data from various sources. Their tasks often include cleaning and transforming raw data, ensuring data quality, and assisting data analysts or scientists by providing them with reliable datasets. Because startups often have smaller teams, entry-level data engineers may also take on a variety of technical tasks and collaborate closely with software engineers and product managers. This role is ideal for those looking to gain broad experience in data engineering within a fast-paced, innovative environment.

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

To thrive as an Entry Level Startup Data Engineer, you need a solid understanding of programming languages like Python or SQL, data modeling, and a relevant degree such as computer science or engineering. Familiarity with data pipelines, cloud platforms (e.g., AWS, Google Cloud), and tools like Apache Spark or ETL systems is typically required. Strong problem-solving abilities, adaptability, and effective communication skills help you excel in a fast-paced, evolving environment. These competencies are crucial for building reliable data solutions and collaborating well within lean startup teams.

What are some common challenges faced by entry level startup data engineers, and how can they be addressed?

Entry level data engineers at startups often encounter challenges such as working with rapidly evolving tech stacks, limited documentation, and balancing multiple responsibilities due to smaller teams. Adapting quickly and proactively seeking clarification from team members is key. Building strong communication with software engineers, data scientists, and product managers helps ensure alignment on data requirements and project priorities. Taking initiative to document solutions and automate repetitive tasks can also improve efficiency and contribute to team success.

What is the difference between Entry Level Startup Data Engineer vs Data Analyst?

AspectEntry Level Startup Data EngineerData Analyst
Required CredentialsBachelor's in CS, Data Science, or related field; basic SQL, Python, or Spark knowledgeBachelor's in Statistics, Math, or related; proficiency in Excel, SQL, and visualization tools
Work EnvironmentStartups, fast-paced, collaborative, technical focus on data pipelines and infrastructureVarious industries, focus on data interpretation, reporting, and business insights
Employer & Industry UsageTech startups, SaaS companies, e-commerceFinance, marketing, healthcare, retail

Entry Level Startup Data Engineers focus on building data infrastructure and pipelines, requiring technical skills like SQL and Python. Data Analysts interpret data to generate insights, often using visualization tools. While both roles work with data, engineers develop the systems, and analysts analyze data for decision-making.

What are the most commonly searched types of Startup Data Engineer jobs in Washington?

The most popular types of Startup Data Engineer jobs in Washington are:

What are popular job titles related to Entry Level Startup Data Engineer jobs in Washington?

For Entry Level Startup Data Engineer jobs in Washington, the most frequently searched job titles are:

What job categories do people searching Entry Level Startup Data Engineer jobs in Washington look for?

The top searched job categories for Entry Level Startup Data Engineer jobs in Washington are:

Entry Level Startup Data Engineer jobs near you
Infographic showing various Entry Level Startup Data Engineer job openings in Washington as of August 2026, with employment types broken down into 1% As Needed, 81% Full Time, 9% Part Time, 2% Temporary, and 7% Contract. Highlights an 81% Physical, 4% Hybrid, and 15% Remote job distribution.

Entry-Level Data Engineer / Data Scientist

The Prospective Group (TPG)

Washington, DC

$90K - $110K/yr

Full-time

Posted 14 days ago

Job description

Clearance required: Secret
The Prospective Group (TPG) is seeking a motivated, recent graduate to join our team as an Entry-Level Data Engineer / Data Scientist. This role is ideal for someone with a strong foundation in data analytics, statistical modeling, and programming who is eager to apply academic and project experience to real-world business problems. The candidate will support data pipeline development, statistical analysis, and visualization efforts across the organization.
Key Responsibilities:
  • Assist in building, cleaning, and maintaining large-scale datasets for analysis
  • Develop and support data pipelines and automated reporting processes
  • Conduct statistical and quantitative analysis to support business decision-making
  • Build dashboards and visualizations to communicate findings to stakeholders
  • Collaborate with cross-functional teams on analytics and reporting projects
  • Support ad hoc data requests and contribute to process improvement initiatives
Minimum Requirements:
  • Bachelor's degree in Data Analytics, Computer Science, or related field
  • Proficiency in SQL and at least one programming language (Python, Java, or R)
  • Experience with Excel and data visualization tools
  • Familiarity with version control systems (GitHub/GitLab)
  • Strong analytical, problem-solving, and communication skills
  • Ability to work both independently and collaboratively in a team environment
Preferred Qualifications:
  • Experience with statistical/regression modeling or predictive analytics
  • Exposure to PCA, KPI development, or dashboard design
  • Coursework or project experience in data structures, algorithms, or big data analytics
  • Familiarity with Jupyter Notebook or RStudio
Position Pay Range:
$90,000 - $110,000 USD
The Prospective Group (TPG) provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws.

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