This is a remote position.
Compulsory Requirement: Minimum 3 Years Experience as a Data Engineer with a strong portfolio showcasing scalable ETL/ELT pipelines, robust data integration, and cloud-based data architecture.
Payment Structure: Full-time salary – The Data Engineer will be compensated with a competitive fixed salary aligned with industry standards and experience level for work completed on both FyerX's internal technology infrastructure and external client platforms.
Work Arrangement: Remote
Advantage: Prior experience working with tech firms, marketing agencies, enterprise platform integrations (e.g., Salesforce, ServiceNow), or building automated pipelines using n8n and AI API endpoints.
Company Website: https://fyerx.com
Responsibilities:
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Architect, build, and maintain highly scalable ETL/ELT data pipelines and infrastructure for FyerX's internal operations and diverse client tech transformations.
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Develop automated workflows (using tools like n8n, webhooks, and REST APIs) to securely extract, normalize, and merge cross-platform metrics from tools like Google, Meta, GA4, and various CRMs.
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Manage and optimize relational databases and cloud data warehouses (e.g., PostgreSQL, Snowflake, BigQuery) to ensure low-latency data access for downstream AI scripts, dashboards, and reporting tools.
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Collaborate closely with AI specialists, backend engineers, and marketing teams to ensure clean, structured data payloads are correctly routed to large language models, agentic workflows, and automated alerting systems.
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Implement robust data quality checks, automated deduplication processes, and comprehensive monitoring to proactively flag anomalies, prevent budget waste, and maintain total data integrity.
Requirements
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3+ years of professional data engineering experience with a proven track record of designing, building, and deploying automated, production-grade data pipelines.
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Advanced proficiency in SQL and programming languages such as Python or Scala, alongside a deep understanding of data modeling, schema design, and query optimization.
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Solid hands-on experience with modern data stack tools, cloud infrastructure (AWS, GCP, Azure), data warehousing (BigQuery, Snowflake, Redshift), and orchestration platforms (Airflow, n8n).
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Proven expertise in integrating complex enterprise APIs, handling JSON/XML payloads, and securely synchronizing databases with external marketing networks and CRM platforms.
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Strategic problem-solving skills with an uncompromising focus on data governance, security compliance, and writing clean, scalable, and well-documented infrastructure code.
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Strong organizational, time-tracking, and project management skills; ability to handle multiple data integration projects simultaneously, meet tight deadlines, and coordinate effectively with remote tech teams.
If you have the desired skills and are excited about building powerful data infrastructures for FyerX and our diverse client brands as a full-time Data Engineer, we encourage you to apply for this position.
