Data Engineer at Wingz PH

Manila, Metro Manila, Philippines -

Full Time

Start Date

Immediate

Expiry Date

28 Jan, 26

Salary

2000.0

Posted On

30 Oct, 25

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

SQL, BI Tools, Data Quality, Data Infrastructure, Performance Analytics, Route Optimization, Compliance Reporting, Driver Behavior, ETL Processes, Statistical Analysis, Data Modeling, Problem-Solving, Analytical Thinking, Communication Skills, Organizational Skills, Detail-Oriented

Industry

Internet Marketplace Platforms

Description

Hiring Filipino and Philippine-based professionals only! Wingz, is a leading US rideshare company focused on Non-Emergency Medical Transportation (NEMT). Visit our website: https://www.wingz.com/ Position: Data Engineer Work Schedule: Monday to Friday, (US EST Time) Employment Set-up: Remote (Independent Contractor) Salary Range: USD 1,500 - 2,000/ Month Pay-out Frequency : Semi-Monthly Benefits: Unlimited PTO and HMO after the probationary period Equipment: Self-Provided Job Summary: 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. The ideal candidate is detail-oriented, highly proficient in SQL, experienced in BI tools (Superset is a plus), and committed to ensuring data quality across development cycles. This role works closely with engineering, QA, product, and business teams to enable data-driven decision-making and maintain a trusted data ecosystem. Key Responsibilities: Test Design & Execution: 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. Software Testing: 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. Defect Tracking & Issue Resolution: 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. Automation & Continuous Improvement: 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. Collaboration & Reporting: 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. 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.

Responsibilities

The Data Engineer is responsible for building and maintaining scalable, secure, and reliable data infrastructure that powers analytics and operational efficiency. This role involves turning raw data into actionable insights across various areas.