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Data Infrastructure Engineer

Jobsaii — Canada · Posted ~2 hours ago

Mid Full-time Remote $140K-$180K/yr

Skills

Data engineering Data pipelines ETL Data warehouses Data lakes Data infrastructure Pipeline monitoring Data architecture SQL Cross-functional collaboration

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Summary ✨ AI‑Generated

A fully remote Data Infrastructure Engineer is sought to design, build and maintain scalable data pipelines and infrastructure. You will develop ETL workflows, implement data warehouses and lakes, collaborate with data scientists and analysts, monitor pipeline reliability, troubleshoot issues and document data architecture and standards. The role is full-time and open to candidates working from anywhere.

Highlights

Fully remote, work-from-anywhere opportunity with a strong compensation range. Build scalable data infrastructure, pipelines, warehouses and lakes while collaborating with data scientists and analysts and improving reliability and data accessibility.

Description

Role: Data Infrastructure Engineer (Remote)Location: Remote (Work from Anywhere)Job Type: Full-TimePayout: $140K - $180K/yr Role Overview: We are hiring for one of our clients, seeking a Data Engineer to work on a full-time basis. The role involves designing, building, and maintaining scalable data pipelines and infrastructure. You will collaborate with cross-functional teams to deliver high-quality data solutions that support 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 & 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 like AWS, GCP, or Azure for data infrastructure. • Strong problem-solving skills with attention to scalability and performance. More About the Opportunity: This role offers a unique opportunity to work with a global leader in the Software Development industry, contributing to the development of data-driven solutions that enhance customer experiences. You will be part of a team that values technical excellence and innovation in data engineering. Equal Opportunity Employer: We hire based on skills and expertise. All qualified candidates are welcome regardless of background, experience, or prior employment history. Applications are reviewed solely on demonstrated technical ability and qualifications. Apply Now!