Data Engineer

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October 30

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Wingz

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eCommerce • Healthcare Insurance • Transport

Wingz is a rideshare platform focused on Non-Emergency Medical Transportation (NEMT). It connects compassionate, credentialed drivers with vulnerable populations needing access to healthcare services. With a commitment to safety, transparency, and personalized service, Wingz has facilitated over 1 million rides across multiple states, ensuring that riders receive reliable transportation to and from their medical appointments.

11 - 50 employees

Founded 2011

🛍️ eCommerce

⚕️ Healthcare Insurance

🚗 Transport

💰 $11M Series B on 2016-01

📋 Description

• The Data Engineer is responsible for building and maintaining scalable, secure, and reliable data infrastructure that powers analytics, product insights, and operational efficiency at Wingz. • This role turns raw data into actionable insights across areas like performance analytics, route optimization, compliance reporting, and driver behavior. • Develop, execute, and maintain manual and automated test cases, test scripts, and test plans to ensure software quality. • Identify test scenarios based on software requirements and collaborate with stakeholders to ensure comprehensive test coverage. • Conduct functional, regression, integration, and performance testing to validate software functionality and system performance. • Assist in verifying software compliance with business requirements, industry standards, and company quality guidelines. • Identify, document, and report software defects using issue-tracking tools (e.g., Jira, Trello). • Work with developers to troubleshoot, reproduce, and resolve issues in test environments. • Verify bug fixes and updates before production deployment. • Contribute to the maintenance and improvement of automated test suites, frameworks, and testing tools to enhance efficiency. • Identify opportunities to automate repetitive test cases for increased accuracy and speed. • Work closely with cross-functional teams, including developers, product managers, and business analysts, to understand project goals and testing needs. • Analyze and interpret test results, prepare detailed test reports, and communicate findings to stakeholders in a clear and concise manner. • Assist in diagnosing and resolving issues reported by users and internal teams.

🎯 Requirements

• 4+ years of experience in a data analyst or similar role, with strong expertise in SQL. • Proven experience in querying relational databases such as MySQL, PostgreSQL, SQL Server, Oracle, etc. • Experience with cloud-based databases (e.g., AWS Redshift, Google BigQuery, or Azure SQL Database). • Knowledge of business intelligence tools (e.g., Superset, Looker, Qlik, or Domo). • Advanced proficiency in SQL for querying, data manipulation, and optimization. • Strong understanding of database management systems (DBMS) and data warehousing concepts. • Familiarity with ETL (Extract, Transform, Load) processes and tools is preferred. • Experience with statistical analysis and data modeling techniques. • Strong problem-solving and analytical thinking abilities. • Excellent communication skills, with the ability to convey technical data insights to non-technical stakeholders. • Detail-oriented with strong organizational skills. • Ability to manage multiple priorities in a fast-paced environment.

🏖️ Benefits

• Unlimited PTO • HMO after the probationary period