Mid-Senior Data Engineer - Remote Opportunity

About the Role

We are seeking a motivated and impact-driven Data Engineer remote to join our Data team at Manychat. This role is essential for transforming complex, changing, and fragmented data into trusted datasets that power Analytics, AI, and product innovation. As a Data Engineer remote, you'll collaborate with Analysts, ML Scientists, and Engineers to design data flows that enable decision-making and innovation for millions of creators, influencers, and brands worldwide.

What You'll Do

• Build Scalable Pipelines: Design, develop, and optimize data pipelines that ingest, process, and deliver reliable data across the company.
• Ensure Data Quality & Security: Implement monitoring, governance, and best practices to keep our systems accurate, performant, and compliant.
• Collaborate & Enable: Partner with Analysts, ML Scientists, and Engineers to deliver structured datasets to unlock new insights.
• Evolve Our Data Platform: Manage and improve our data warehouse and infrastructure to support analytics, AI, and ML use cases at scale.
• Innovate: Experiment with advanced data modeling and analytical techniques to improve system capabilities and create new opportunities.

Requirements

• Proven experience in Analytics Engineering, Data Engineering or a related role.
• Strong experience with SQL for querying and optimization of large datasets, including designing and building ETL pipelines at scale.
• Strong proficiency in Python for data processing.
• Strong understanding of data modeling and data warehouse architecture, and the ability to design evolving data systems.
• Ability to translate complex business requirements into scalable, well-structured data models and high-quality datasets that enable analytics, reporting, and data-driven decision making.
• Ability to clearly communicate complex concepts with both technical and non-technical stakeholders.
• Experience with cloud and data infrastructure (e.g., Snowflake, AWS, Redis).
• Experience working closely with Analysts and ML specialists.

Nice to Have

• Familiarity with DevOps frameworks and tools (e.g., Git, CI/CD, Documentation).
• Knowledge of containerization (e.g., Docker) and/or experience with Kubernetes is a plus.

What We Offer

• Hybrid onboarding to start work remotely and relocation support for you and your family.
• Comprehensive health insurance for both you and your family.
• Professional development budget for conference tickets, online courses, and other relevant resources to help you grow.
• Flexible benefits package to tailor perks that matter most for you.
• Hybrid work and generous leave options to prioritize your work-life balance.
• In-office perks, including free meals and snacks.
• Company-funded sport activities, annual offsites, and team-building events.