Remote Data Engineer — Build AI-Driven Data Infrastructure

Rayda Inc.; United States; Remote; USD 120,000 - 170,000; Full time

Job summary

Rayda Inc. is seeking a data engineer to design, build, deploy, and maintain scalable data pipelines and analytics infrastructure.

This remote role involves integrating data from databases, APIs, CRM, product analytics, IT systems and device telemetry to support business reporting and customer-facing applications. You will develop reliable data models, enable AI-powered recommendations, and implement data quality, security controls and documentation.

Qualifications

• Strong SQL and experience with relational databases and complex datasets.
• Hands-on experience with ETL/ELT processes, incremental data processing, transformations and pipeline monitoring.
• Proficiency in Python or another suitable data engineering programming language.
• Experience integrating databases, REST APIs, SaaS platforms and external data sources.
• Experience designing and implementing data warehouses, lakehouses or analytical data platforms.
• Strong knowledge of data modelling, data quality, validation and schema management.
• Familiarity with cloud infrastructure, data storage, access controls and production reliability.
• Ability to evaluate technical architecture based on performance, scalability, cost and business requirements.
• Strong analytical, problem-solving and independent execution skills.

Responsibilities

• Design, build, deploy and maintain scalable, production-grade data pipelines and ETL/ELT workflows.
• Integrate data from operational databases, APIs, CRM systems, product analytics, IT ticketing platforms and device telemetry.
• Evaluate and implement appropriate data warehouses, lakehouses and analytical databases.
• Develop reliable data models and reusable datasets for business reporting, product analytics and customer-facing applications.
• Build the data infrastructure supporting customer intelligence dashboards, anomaly detection, predictive insights and AI-powered recommendations.
• Establish data quality standards, automated validation, monitoring, alerting and recovery mechanisms.
• Improve data collection, instrumentation, schema management and data documentation.
• Implement secure data processing practices, access controls and customer-level data isolation.
• Optimise data storage, processing performance, scalability and infrastructure costs.
• Collaborate with Product, Engineering, Finance and Operations to translate business requirements into reliable data solutions.
• Maintain technical documentation covering data architecture, integrations, pipeline dependencies and operational procedures.

Skills

SQL

Python

ETL/ELT

Data modeling

Data warehousing

Tools

dbt

Airflow

Dagster

BigQuery

Snowflake

ClickHouse

Job description

Rayda Inc. is seeking a data engineer to design, build, deploy, and maintain scalable data pipelines and analytics infrastructure.

This remote role involves integrating data from databases, APIs, CRM, product analytics, IT systems and device telemetry to support business reporting and customer-facing applications. You will develop reliable data models, enable AI-powered recommendations, and implement data quality, security controls and documentation.