Data Engineer, Analyst

Jobtailor; Washington (District of Columbia); On-site; USD 80,000 - 110,000; Full time

Benefits offered by this job

Health insurance

Opportunities for professional development

Flexible work arrangements

Job summary

DevTech Systems, Inc. is looking for a skilled professional to design and maintain scalable data pipelines and ETL/ELT workflows in Washington, D.C. This role focuses on building data models and cloud-based architectures while analyzing complex datasets to inform humanitarian efforts.

The ideal candidate holds a Bachelor’s degree in a related field and has hands-on experience in data engineering and analysis, including proficiency in SQL and Python. Excellent communication and interpersonal skills are essential, and U.S. citizenship is required due to security clearance.

Qualifications

• Bachelor’s degree in Data Science, Computer Science, Statistics, Information Systems, or a related field.
• Hands-on experience in data engineering and data analysis.
• Proficiency with SQL and modern programming languages (Python preferred).
• Familiarity with cloud platforms and data engineering tools.
• Strong analytical thinking and problem-solving skills.

Responsibilities

• Design, develop, and maintain data pipelines and ETL/ELT workflows.
• Build data models and cloud-based architectures for analytics and dashboards.
• Respond to database problems and perform maintenance.
• Analyze humanitarian datasets to identify trends and insights.
• Provide training and guidance to staff on data use.

Skills

Data engineering

Data analysis

SQL

Python

Cloud platforms (e.g. AWS, Databricks)

Analytical thinking

Problem-solving skills

Education

Bachelor’s degree in Data Science or a related field

Job description

Job Description:

• Design, develop, and maintain scalable data pipelines and ETL/ELT workflows to support humanitarian operational and analytical needs.
• Build and optimize data models, schemas, and cloud-based data architectures to support dashboards, machine learning workflows, and advanced analytics.
• Respond quickly to database problems that arise and carry out periodic maintenance and troubleshooting.
• Explore and analyze complex humanitarian datasets to identify trends, anomalies, risks, and opportunities.
• Produce actionable insights that inform policy, resource allocation, program design, and crisis response.
• Serve as a subject-matter resource for data best practices, including how to access, interpret, and apply available datasets.
• Provide training, informal guidance, and practical tools to staff who rely on data for decision-making.

Requirements:

• Bachelor’s degree in Data Science, Computer Science, Statistics, Information Systems, or a related field.
• Hands‑on experience in both:
  • Data engineering (pipelines, ETL/ELT, SQL, cloud tools)
  • Data analysis (exploratory analysis, dashboarding, basic data science methods)
• Proficiency with SQL and modern programming/scripting languages (Python preferred).
• Familiarity with cloud platforms (e.g. AWS, Databricks) and common data engineering tools.
• Strong analytical thinking, problem‑solving skills, and intellectual curiosity.
• Ability to explain complex concepts to diverse stakeholders.
• A team player but able to work independently.
• Multi‑tasking and time‑management skills, with the ability to prioritize tasks.
• Excellent interpersonal skills.
• Ability to work well in a diverse team.
• The candidate must be a U.S. citizen to qualify for the required U.S. government security clearance for this project.

Benefits:

• Health insurance
• Opportunities for professional development
• Flexible work arrangements