This is a remote position.

Job Summary

The Data Engineer designs, builds, and maintains scalable data pipelines and infrastructure that enable reliable data collection, storage, and processing. This role ensures high data quality, availability, and performance to support analytics, reporting, and data-driven decision-making across the organization.

Key Responsibilities

• Design, develop, and maintain scalable data pipelines and ETL/ELT processes

• Build and optimize data models, data warehouses, and data lakes

• Integrate data from multiple sources, including databases, APIs, and streaming systems

• Ensure data quality, reliability, security, and governance standards are met

• Optimize data performance, cost, and scalability

• Collaborate with data analysts, data scientists, and software engineers to support data needs

• Monitor, troubleshoot, and resolve data pipeline and infrastructure issues

• Implement automation, monitoring, and logging for data workflows

• Maintain technical documentation and data architecture standards

Requirements

Required Qualifications

• Bachelor’s degree in Computer Science, Engineering, Information Systems, or a related field
• Strong proficiency in SQL and experience with relational and NoSQL databases
• Experience with data pipeline tools and frameworks (e.g., Airflow, dbt, Spark)
• Experience working with cloud data platforms (AWS, Azure, or GCP)

Preferred Qualifications

• Proficiency in Python, Java, or Scala
• Experience with big data technologies (e.g., Hadoop, Kafka)
• Familiarity with data warehousing solutions (e.g., Snowflake, BigQuery, Redshift)
• Experience with Infrastructure as Code and CI/CD for data pipelines

Skills & Competencies

• Strong problem-solving and analytical skills
• Attention to detail and data accuracy
• Ability to design scalable and maintainable systems
• Strong collaboration and communication skills
• Continuous improvement and learning mindset