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Entry Level Startup Data Engineer Jobs in Washington

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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 September 2026, with employment types broken down into 1% Internship, 1% As Needed, 81% Full Time, 14% Part Time, and 3% Contract. Highlights an 84% Physical, 3% Hybrid, and 13% Remote job distribution.

Cyber Risk Data Engineer/Analyst

Arlington, VA โ€ข On-site

Technomics, Inc.
Guided Missile and Space Vehicle Manufacturingย โ€ขย 201 - 500 employees
Learn more about Technomics, Inc.external

Full-time

Re-posted 6 days ago

Job description

Technomics is a growing employee-owned, decision analytics company that specializes in cost and economic analysis to facilitate better decisions faster . We enable a wide range of clients across the Federal government, from senior level policy makers to program managers, to choose smartly, buy effectively and operate efficiently. We deliver practical, credible and defensible results offering actionable insights by applying data-driven and analytics-based approaches in combination with multidisciplinary talent, subject matter experts, and tangible and repeatable assets in the form of databases, models, approaches and techniques.
Analysts use problem-solving principles, processes and methods and complementary software applications to support client engagements and have a direct and significant impact on deliverables to clients. Your work will be guided by more experienced team members, but you will work with autonomy.
Our employee-owners pride themselves on their ability to apply deep analytical rigor and innovative thought that assist clients in understanding and solving a myriad of challenging resource planning and management problems.
This position may be located in Arlington, VA (Headquarters), Washington D.C., Pentagon, Springfield, VA., Chantilly, VA., Tysons Corner, VA.
Description:
We are seeking a Cyber Risk Data Engineer/Analyst. This role focuses on the data side of cyber risk management ๏ฟฝ capturing outputs from senior SMEs, tagging and structuring data, and building data-driven capabilities that support proactive risk identification.
The ideal candidate is detail-oriented and eager to grow in the cybersecurity field.
You will help organize and manage risk assessment data, connect outputs to external threat/vulnerability databases (e.g., CVE/NVD, MITRE ATT&CK), and develop structured knowledge bases that allow for trend analysis and lessons learned.
This position is perfect for someone who wants to learn from senior SMEs while building technical skills in data analysis, visualization, and cyber risk management. You'll play a key role in helping clients shift from reactive reporting to proactive risk detection.
Clearance Required: Active DOE Q or higher (or ability to obtain)
Key Responsibilities:
  • Support senior SMEs by collecting, organizing, and structuring cyber risk assessment outputs into usable datasets and knowledge repositories.
  • Implement data tagging, metadata standards, and knowledge capture practices to enable traceability and lessons-learned reuse across assessments.
  • Connect assessment data with external threat and vulnerability databases (e.g., MITRE ATT&CK, CVE/NVD, vendor advisories) to enrich analysis and support proactive risk identification.
  • Develop and maintain structured datasets, dashboards, or knowledge management tools that allow for trend analysis and predictive insights.
  • Assist in building data-driven capabilities to shift risk management from reactive reporting toward proactive detection and trend anticipation.
  • Work closely with senior cyber SMEs to ensure data accurately reflects risk findings, mitigation considerations, and enterprise impacts.
  • Support the development of data visualization products, analytic reports, and briefing materials for leadership.
  • Contribute to the maturation of the clients risk knowledge base by aligning historical assessment data with new findings.

Required Qualifications:
  • 1๏ฟฝ3 years of experience in cybersecurity, data analysis, or IT risk management.
  • Familiarity with cybersecurity frameworks such as NIST SP 800-30, RMF, or MITRE ATT&CK (coursework, internships, or entry-level experience acceptable).
  • Demonstrated experience with data analysis, organization, and visualization (Excel, Power BI, Tableau, or similar).
  • Ability to work with structured and unstructured data, including tagging, metadata, and relational mapping.
  • Strong written and verbal communication skills to document findings and support SME deliverables.

Preferred Qualifications:
  • Experience supporting national security organizations.
  • Familiarity with cyber threat and vulnerability databases (CVE, NVD, CISA KEV catalog, vendor advisories).
  • Coursework or hands-on exposure to Python, SQL, or other scripting tools for data handling.
  • Technical certifications such as Security+.
  • Understanding of knowledge management or data governance practices.
  • Ability to work in a team-oriented, high-paced environment and interact with both technical and non-technical stakeholders.

Work Environment:
  • Hybrid role with D.C.-based work and travel to client and partner sites to support SME risk assessment teams.
  • Focused on the data side of mission assurance ๏ฟฝ building knowledge bases, connecting data sources, and supporting proactive cyber risk identification.
  • Collaborative setting with senior SMEs, engineers, and mission partners, requiring adaptability, attention to detail, and an eagerness to learn.
  • Provides strong career growth opportunities in cyber risk analysis, data science, and national security mission assurance.

Salary range: $70,000- 115,000 USD
The salary range listed is one part of our total compensation package, which may also include bonuses, incentives and benefits. Individual compensation is determined based on qualifications such as relevant years of experience, education, certifications and geographic location
Technomics is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to protected status under applicable law, including disability and protected veteran status.

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