Remote Data Engineer

Description:

• ISF is seeking a Data Engineer who can design and develop scalable data infrastructure solutions while sharing ISF’s engineering philosophy of reducing complexity and creating functional solutions in a straightforward manner.
• The ideal candidate must deeply understand the fundamental concepts of data system design, implementation, and maintenance and be eager to apply that knowledge to new tools, paradigms, and challenges.
• The candidate must be able to prioritize and solve for the client’s primary project objectives and develop creative solutions within project constraints.
• The Data Engineer will design, build, and maintain scalable data pipelines and ETL processes.
• They will develop and optimize data architectures for access, analytics, and reporting.
• The role includes ensuring data integrity, security, and compliance aligned with industry best practices.
• The Data Engineer will consult with development teams to determine appropriate storage solutions for software development efforts, optimizing for cost, latency, and integration.
• They will create end-to-end data pipelines to support model creation, data warehousing, real-time analytics, and machine learning.
• The role involves implementing data governance strategies, including data catalog creation, structuring data zones, process orchestration, monitoring, and alerting.
• The Data Engineer will automate data workflows and improve data quality processes.
• They will manage and optimize databases and cloud-based data platforms.
• The role includes troubleshooting data-related issues and optimizing system performance.
• The Data Engineer will collaborate with analysts, developers, and business teams to understand data needs.

Requirements:

• A Bachelor's degree in Computer Science, Data Science, or a related field is required.
• Relevant technical certifications are preferred.
• The candidate must have 10+ years of experience in data environments, including data engineering or architecture.
• Experience with orchestration tools like AirFlow, Dagster, Prefect, Azure Synapse, or equivalent is necessary.
• Expertise in data ingestion and transformation tools such as SQL, Python, Spark, dbt, or equivalent is required.
• The candidate must have experience developing solutions for cloud, hybrid, and on-premise environments and the ability to adapt to various customer infrastructures.
• Strong knowledge of ETL tools, data warehousing, and big data technologies is essential.
• Familiarity with data governance, security, and compliance best practices is required.
• The candidate must be self-motivated and proactive in seeking clarity and developing effective solutions.
• Strong analytical and critical thinking skills are necessary.
• The ability to design and implement scalable data solutions is required.
• Proficiency in data modeling and database management is essential.
• Strong attention to detail and data accuracy is necessary.
• The ability to work independently and manage multiple priorities is required.
• Excellent communication skills for technical and non-technical stakeholders are necessary.
• Experience with version control (Git) and CI/CD pipelines is a plus.

Benefits:

• The position offers a remote work environment, allowing for flexibility in work location.
• It is a full-time position, providing job stability and consistent income.
• The role is classified as exempt, which may offer additional benefits related to work hours and compensation.
• ISF is committed to providing equal opportunity in all employment practices, ensuring a diverse and inclusive workplace.