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Part Time Analytics Engineer Dbt Jobs (NOW HIRING)

Sargento

Data, Analytics, & AI Intern

Plymouth, WI · On-site +1

You seek an opportunity to expand your skills in developing data structures, data programming ... Exposure to data pipeline or transformation tools (dbt, Matillion, or similar) a plus. * Experience ...

Fora

Senior Data Scientist, Product Analytics

New York, NY · On-site

$130K - $185K/yr

... or part-time. We're mission-driven and obsessed with our customers, and we believe humans and AI ... Collaborate with product, engineering, and design partners to develop product roadmaps, launch ...

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Part Time Analytics Engineer Dbt information

What is a part time analytics engineer dbt?

Part Time Analytics Engineers (Dbt) are professionals who specialize in building and maintaining data pipelines and analytical models using dbt (data build tool), but work on a part-time basis. They collaborate with data analysts, data engineers, and business stakeholders to transform raw data into actionable insights, ensuring data quality and reliability. Their responsibilities often include creating dbt models, writing SQL, testing data transformations, and maintaining documentation. Part-time analytics engineers typically work flexible hours and may support organizations that need data expertise without hiring full-time staff.

What are the key skills and qualifications needed to thrive as a part time analytics engineer dbt?

To thrive as a Part Time Analytics Engineer using dbt, you need strong SQL skills, experience with data modeling, and an understanding of analytics engineering best practices, often supported by a background in computer science or a related field. Familiarity with dbt, version control systems like Git, and cloud data warehouses such as Snowflake or BigQuery is typically required. Excellent problem-solving, communication, and time-management abilities help you collaborate effectively and deliver insights while balancing a part-time schedule. These skills ensure the efficient transformation of raw data into reliable, actionable insights that drive business decisions.

What are some common challenges faced by part time analytics engineers working with dbt, and how can they be managed?

Part-time Analytics Engineers working with dbt often face the challenge of efficiently managing their limited hours while ensuring data models are accurate, well-documented, and up-to-date. Collaboration with full-time team members can sometimes be tricky due to differing schedules, making clear communication and thorough documentation essential. To overcome these challenges, part-time engineers should prioritize asynchronous communication tools, maintain detailed dbt documentation, and establish regular check-ins with the analytics team. This helps ensure alignment on project goals and smooth handoffs, ultimately contributing to the team's overall productivity.
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Infographic showing various Part Time Analytics Engineer Dbt job openings in the United States as of September 2026, with employment types broken down into 1% Internship, 89% Full Time, 7% Part Time, and 3% Contract. Highlights an 84% Physical, 5% Hybrid, and 11% Remote job distribution.

Engineer II, Structural Analysis (R5166)

Seattle, WA • On-site

Shield AI
Software Development • 11 - 50 employees
Learn more about Shield AIexternal

$108K - $160K/yr

Full-time, Part-time

Posted 21 days ago

Key responsibilities

  • Support the structural analysis and testing of UAVs to ensure structural integrity.

  • Assist in building, refining, and validating finite element models and perform various analyses such as static, modal, fatigue, and vibration assessments.

  • Contribute to designing and optimizing airframe structures, developing test plans, analyzing test data, and documenting analysis reports.

Job description

Shield AI is a venture-backed defense-tech company with the mission of protecting service members and civilians with intelligent systems. Its products include Hivemind autonomy software, V-BAT and X-BAT aircraft, and Aechelon simulation and synthetic reality technologies. With offices and facilities across the U.S., Europe, the Middle East, and Asia-Pacific, Shield AI’s technology actively supports operations worldwide. For more information, visit www.shield.ai. Follow Shield AI on LinkedIn, X, Instagram, and YouTube. 

Job Description:
Shield AI is seeking an Engineer II, Structural Analysis to support the structural analysis and testing of advanced UAVs. In this role, you will work closely with Mechanical, Systems, Propulsion, and Aerospace Engineers to ensure the structural integrity of our lightweight, high-performance aircraft. You will contribute to the design, analysis, testing, and optimization of airframe structures and components, ensuring they meet performance, weight, and safety requirements.
 
This role is ideal for engineers with 2+ years of experience looking to gain expertise in finite element analysis (FEA), composite materials, mechanical testing, and aircraft loads analysis in a fast-paced, high-tech aerospace environment.
What you'll do:
  • Assist in building and refining finite element models (FEM) to evaluate the structural performance of UAV components.
  • Perform static, modal, fatigue, and vibration analyses to assess stress, deformation, and durability.
  • Conduct hand calculations to validate FEA results, ensuring accuracy and structural reliability.
  • Work with design engineers to optimize airframe structures, balancing weight, strength, and manufacturability.
  • Support the development of test plans for structural validation, including quasi-static, vibration, and shock testing.
  • Analyze flight telemetry and structural test data to improve modeling accuracy and correlate predictions with real-world performance.
  • Assist in defining load cases, material properties, and design margins for UAV airframe and mechanical components.
  • Document and present structural analysis reports and technical recommendations to engineering teams.
  • Collaborate with cross-functional teams to ensure structural requirements align with system performance goals.
  • Contribute to the continuous improvement of structural analysis methodologies, tools, and best practices.
Required qualifications:
  • B.S. in Mechanical Engineering, Aerospace Engineering, or related field.
  • 2+ years of experience in structural analysis, finite element modeling, or aircraft loads analysis.
  • Experience with FEA tools (ANSYS, NASTRAN, HyperWorks, or similar).
  • Strong ability to perform hand calculations for structural strength, stability, and fatigue analysis.
  • Knowledge of composite materials and lightweight aerospace structures.
  • Familiarity with mechanical testing methods (static, vibration, and fatigue).
  • Proficiency with data analysis tools (Excel, MATLAB, Python, or similar).
  • Strong problem-solving skills, attention to detail, and ability to work in a team environment.
  • Ability to get a S//SAR level security clearance desired.
Preferred qualifications:
  • Master’s degree in Mechanical or Aerospace Engineering.
  • Experience in aircraft structural design, UAV airframe development, or aerospace testing.
  • Hands-on experience with structural testing, modal analysis, or composite modeling.
  • Exposure to CAD software (NX, SolidWorks) and PLM tools (Teamcenter or similar).
  • Understanding of aerospace industry standards, structural certification processes, and material selection.
#LI-MS1
#LB

Full-time regular employee offer package:
Pay within range listed + Bonus + Benefits + Equity
 
Temporary employee offer package:
Pay within range listed above + temporary benefits package (applicable after 60 days of employment)
 
Salary compensation is influenced by a wide array of factors including but not limited to skill set, level of experience, licenses and certifications, and specific work location. All offers are contingent on a cleared background and possible reference check. Military fellows and part-time employees are not eligible for benefits. Please speak to your talent acquisition representative for more information.
 
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Shield AI is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, marital status, disability, gender identity or Veteran status. If you have a disability or special need that requires accommodation, please let us know. 

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.