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Early Warning

Data Engineer II

Early Warning

Technical expert responsible for building data science tools and infrastructure at Early Warning, collaborating with data scientists and internal teams. Mentoring interns and guiding best practices in software engineering.

Posted 8/1/2026full-timeScottsdale • Arizona, California, Illinois, New York • 🇺🇸 United StatesJuniorMid-Level💰 $97,000 - $124,000 per yearWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in data infrastructure and analytics software development, with a strong focus on Python and Spark. Capable of mentoring and guiding teams in best practices while collaborating effectively in a regulated enterprise environment.

Highest-signal resume keywords
Data Infrastructure DevelopmentPython Software EngineeringSpark FrameworkMachine Learning ToolkitsETL Process Improvement

ATS Keywords

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Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills
PythonSparkMachine LearningHadoopAWS/S3Relational DatabasesData IngestionData StorageQuery OptimizationScala/Java
Soft Skills
Strong Communication SkillsMentoring
Industry Keywords
Fin-techData ScienceRisk ManagementEnterprise Environment

Tech Stack

Tools & technologies
AWSETLHadoopJavaPythonScalaSpark

About the role

Key responsibilities & impact
  • Write data infrastructure & analytics software tools for Data Science.
  • Mentor and train interns.
  • Guide Data Scientists on best practices in software engineering.
  • Collaborate with analytics leadership and engineers from other parts of EW on architectural and software enhancements to the Data Science platform.
  • Collaborate with Data Science leadership on improving ETL and cluster computing.
  • Supporting the company’s commitment to risk management and protecting the integrity and confidentiality of systems and data.

Requirements

What you’ll need
  • Education and experience typically obtained through a Bachelor’s degree
  • Typically has 2-4 years of demonstrated progressive work experience in the following areas
  • Spark
  • Software/data engineering in Python
  • Machine Learning toolkits in Python/R
  • Building reusable frameworks for data ingestion and storage in Hadoop or AWS/S3
  • Relational databases, optimizing/tuning queries, indexing, partitioning, etc.
  • Experience collaborating with internal engineering & technology teams within a company on building data infrastructure in a regulated, enterprise environment;
  • Strong communication skills
  • Preferred Qualifications - Prior demonstrated experience 2-4 years Scala/Java experience
  • Fin-tech experience

Benefits

Comp & perks
  • Healthcare Coverage – Competitive medical (PPO/HDHP), dental, and vision plans as well as company contributions to your Health Savings Account (HSA) or pre-tax savings through flexible spending accounts (FSA) for commuting, health & dependent care expenses.
  • 401(k) Retirement Plan – Featuring a 100% Company Safe Harbor Match on your first 6% deferral immediately upon eligibility.
  • Paid Time Off – Flexible Time Off for Exempt (salaried) employees, as well as generous PTO for Non-Exempt (hourly) employees, plus 11 paid company holidays and a paid volunteer day.
  • 12 weeks of Paid Parental Leave
  • Maven Family Planning – provides support through your Parenting journey including egg freezing, fertility, adoption, surrogacy, pregnancy, postpartum, early pediatrics, and returning to work.
  • And SO much more!