Data Engineer (ETL / Big Data Pipelines)

Location: Remote, United States
Job Type: Full-Time
Work Arrangement: Remote
Department: Data, Analytics & AI
Reports To: Head of Data Engineering

Role Overview

We are seeking a skilled Data Engineer to build and maintain scalable data pipelines, storage systems, and transformation workflows that support analytics, BI, AI, and operational reporting. This role is responsible for designing reliable data ingestion and processing layers, maintaining modern data platforms, and ensuring data is available, accurate, and ready for business and analytical use.

Key Responsibilities

• Design and manage ETL/ELT pipelines for structured and unstructured data
• Build reliable data ingestion, transformation, and integration workflows across multiple sources
• Maintain data warehouses, data lakes, and pipeline orchestration systems
• Ensure data quality, lineage, consistency, and availability across reporting and analytics layers
• Optimize pipeline performance, scalability, and cost efficiency
• Collaborate with data scientists, analysts, BI developers, and engineering teams to support data needs across the business

Required Qualifications

• Strong SQL and Python skills
• Experience with data pipeline tools and cloud data platforms
• Knowledge of data modeling, warehousing, and orchestration
• Experience handling both structured and unstructured data
• Strong problem-solving skills and ability to build reliable, production-ready data workflows

Preferred Qualifications

• Experience with Spark, Airflow, dbt, Kafka, Snowflake, BigQuery, Redshift, or Azure Data Factory
• Familiarity with API ingestion and real-time data pipelines
• Experience supporting AI/ML data workflows
• Understanding of data performance tuning, pipeline monitoring, and operational reliability
• Experience working in analytics, BI, or modern data platform environments

Core Skills

• Data engineering
• ETL / ELT pipelines
• SQL
• Python
• Data warehousing
• Data modeling
• Pipeline orchestration
• Cloud data platforms
• Data integration
• Big data workflows