Data Engineer

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April 30

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Futuralis

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Cloud Services • AI/ML • Cybersecurity

Futuralis is a cloud services and consulting company that empowers businesses to enhance their operations through advanced technologies like AWS Cloud Services, application modernization, and AI/ML solutions. They offer a range of services including cloud assessment, data analytics, application development, and security assessments to help organizations optimize costs, improve system performance, and safeguard against cybersecurity threats. With a focus on innovation and efficiency, Futuralis aims to elevate businesses into the future of digital transformation.

11 - 50 employees

Founded 2011

🔒 Cybersecurity

📋 Description

• This is a remote position. • Futuralis is looking for a seasoned Data Engineer to design, build, and optimize data pipelines and workflows that support critical business decisions. • The ideal candidate will drive scalable data solutions, contribute to architectural decisions, and provide technical leadership across projects. • This role requires a strong focus on data quality, reliability, and collaboration with cross-functional teams. • A passion for mentoring and driving best practices in data engineering is highly valued.

🎯 Requirements

• 5+ years of programming with at least one software programming language experience (e.g. Java, Python). • 5+ years of programming with PySpark • 5+ years of leading design or architecture (design patterns, reliability and scaling) of new and existing systems experience. • 5+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience. • 3+ years of experience leading the team and cross-team architecture and design (architecture, design patterns, reliability and scaling) of new and current systems. • Experience in building large-scale data ingestion, data processing, data modeling. • Familiarity with different data architectures. • Experience with designing, coding, troubleshooting, and supporting high volume and low latency distributed systems. • Experience with CI/CD and Infrastructure-as-Code such as AWS CDK.