Data Infrastructure Engineer (Remote)
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Key skills for this role
Role Overview
The client is seeking a Data Infrastructure Engineer to build scalable data pipelines and infrastructure.
The role supports high-quality data solutions, business insights, and data-driven decision-making.
Key Skills for This Role
Full Job Posting
Role Overview
The client is seeking a Data Infrastructure Engineer to build scalable data pipelines and infrastructure.
The role supports high-quality data solutions, business insights, and data-driven decision-making.
Compensation
- The stated payout is $140K to $180K per year.
Workplace and Employment
- The role is remote and can be performed from anywhere.
- The position is full time.
Key Responsibilities
- Design, develop, and optimize pipelines to extract, transform, and load large datasets.
- Implement and maintain data warehouses and data lakes for analytical and operational reporting.
- Collaborate with data scientists and analysts to ensure data accessibility and integrity.
- Monitor pipeline performance and troubleshoot issues for reliability and efficiency.
- Document data architecture, processes, and standards for team reference and compliance.
Required Skills and Qualifications
- Demonstrated proficiency in SQL and experience with relational and NoSQL databases.
- Experience with ETL or ELT tools such as Airflow, Spark, or similar frameworks.
- Knowledge of data modeling and data warehouse design principles.
- Familiarity with AWS, GCP, or Azure for data infrastructure.
- Strong problem-solving skills with attention to scalability and performance.
Opportunity Context
The role contributes to data-driven solutions intended to enhance customer experiences.
The team emphasizes technical excellence and innovation in data engineering.
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