Data Engineer

SupportNinja

Data Engineer responsible for building data pipelines and ensuring data quality for analytics. Collaborating with cross-functional teams to support enterprise decision-making in a remote setup.

Posted 7/4/2026full-timeRemote • 🇵🇭 PhilippinesJuniorWebsite

Tech Stack

Tools & technologies

CloudETLPythonSQLTableau

About the role

Key responsibilities & impact

Design, develop, maintain, and optimize data pipelines that support data integration, transformation, and analytics initiatives
Develop and maintain data models, data warehouses, and data structures that support reporting, business intelligence, and enterprise analytics
Extract, transform, validate, and load data from multiple source systems while ensuring data quality, integrity, consistency, and compliance with business requirements
Support the design, implementation, maintenance, and optimization of the organization’s data architecture and technology platforms
Develop, maintain, and optimize SQL queries, database objects, and data transformation processes to improve performance and scalability
Collaborate with Business Intelligence, Analytics, Technology, and business stakeholders to gather requirements and deliver data solutions that support business objectives
Support data quality initiatives by identifying, troubleshooting, and resolving data inconsistencies, duplicate records, and integration issues
Prepare and maintain technical documentation, data dictionaries, process documentation, and knowledge base resources to support ongoing operations and knowledge transfer
Communicate technical concepts, project updates, and data insights effectively to technical and non-technical stakeholders
Research and evaluate emerging technologies, tools, and best practices to improve data engineering capabilities and operational efficiency
Adhere to company policies and procedures
Meet or exceed performance targets for related KPIs
Continuously improve knowledge of products, services, and processes by participating in training programs and continuous learning modules
Collaborate with other departments as needed
Maintain a positive, empathetic, and professional attitude toward customers and colleagues at all times

Requirements

What you’ll need

Bachelor’s degree in Computer Science, Information Technology, Software Engineering, Business Analytics, Data Science, or a related field preferred
Minimum of one (1) year of experience in data engineering, business intelligence, data analytics, data integration, or a related field preferred
Experience designing, developing, and supporting data pipelines, ETL/ELT processes, and data integration solutions
Strong proficiency with SQL and relational database management systems
Experience with Python or other scripting languages used for data engineering and automation is preferred
Experience with cloud-based data platforms, data warehouses, and modern data architecture concepts is preferred
Experience with data transformation, data modeling, data validation, and data quality management practices
Experience with business intelligence and data visualization platforms such as Looker, Looker Studio, Tableau, Power BI, or similar tools is preferred
Strong analytical, problem-solving, and critical-thinking skills with the ability to interpret complex datasets and develop scalable data solutions
Strong written and verbal communication skills with the ability to communicate technical concepts effectively to technical and non-technical stakeholders
Strong organizational and time management skills with the ability to manage multiple priorities and deadlines in a fast-paced environment
Ability to work independently and collaboratively within a cross-functional team environment
Commitment to data quality, continuous improvement, operational excellence, and data-driven decision-making

Benefits

Comp & perks

Competitive compensation designed to recognize your experience, contributions, and impact
Retirement Savings Program with Company Matching to help support your long-term financial goals
Life insurance coverage
HMO coverage starting on Day 1
Free dependent coverage, with one (1) dependent covered upon regularization and a second (2) dependent added after one year of service
Paid time off plus birthday leave so you can rest, recharge, and celebrate your special day
Opportunities for skills training and personal and professional development to support your continued growth
Employee Referral Program with rewards for successful referrals

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

Data IntegrationData TransformationData ModelingData ValidationData WarehousingSQL QueriesPythonData ArchitectureData AnalyticsData Visualization

Soft Skills

Analytical SkillsProblem-SolvingCommunication SkillsOrganizational SkillsTime Management