Data Infrastructure Engineer (Remote)
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Key skills for this role
Role Overview
Full-time Data Engineer role designing, building, and maintaining scalable data pipelines and infrastructure.
Collaborate with cross-functional teams to deliver high-quality data solutions supporting business insights and decision-making.
Key Skills for This Role
Full Job Posting
Role Overview
Full-time Data Engineer role designing, building, and maintaining scalable data pipelines and infrastructure.
Collaborate with cross-functional teams to deliver high-quality data solutions supporting business insights and decision-making.
Key Responsibilities
- Design, develop, and optimize data pipelines to extract, transform, and load large datasets.
- Implement and maintain data warehouses and data lakes to support analytical and operational reporting.
- Collaborate with data scientists and analysts to ensure data accessibility and integrity.
- Monitor pipeline performance and troubleshoot issues to ensure reliability and efficiency.
- Document data architecture, processes, and standards for team reference and compliance.
Required Skills and Qualifications
- Proficiency in SQL and experience with relational and NoSQL databases.
- Experience with ETL/ELT tools such as Airflow, Spark, or similar frameworks.
- Knowledge of data modeling and warehouse design principles.
- Familiarity with cloud platforms such as AWS, GCP, or Azure for data infrastructure.
- Strong problem-solving skills with attention to scalability and performance.
Compensation
- Full-time payout is $140,000-$180,000 per year.
Workplace
- The position is remote.
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