TL;DR

Member of Technical Staff – Data Engineer (AI): Building scalable data pipelines for sourcing, transforming, and publishing data assets for AI use cases with an accent on data governance, compliance, and security. Focus on resolving complex technical issues and ensuring optimal performance and scalability.

Location: Must work from a designated %hirify_global% office at least four days a week if living within 50 miles (U.S.) or 25 miles (non-U.S.) of that location.

Salary: USD $139,900 – $274,800 per year.

Company

%hirify_global%’s mission is to empower every person and every organization on the planet to achieve more.

What you will do

Build scalable data pipelines for sourcing, transforming, and publishing data assets for AI use cases.
Collaborate with platform, infrastructure, and application engineers, as well as AI researchers, to build next-generation data platform products and services.
Ship high-quality, well-tested, secure, and maintainable code.
Find paths to get things done despite roadblocks, delivering work to users quickly and iteratively.
Work in a fast-paced, design-driven, product development cycle.

Requirements

Bachelor’s Degree in Computer Science, Math, Software Engineering, Computer Engineering, or related field AND 6+ years experience in business analytics, data science, software development, data modeling or data engineering work OR Master’s Degree in Computer Science, Math, Software Engineering, Computer Engineering, or related field AND 4+ years experience in business analytics, data science, software development, or data engineering work OR equivalent experience.
4+ years technical engineering experience building data processing applications (batch and streaming) with coding in languages including, but not limited to, Python, Java, Spark, SQL.
Experience working with Apache Hadoop eco system, Kafka, NoSQL, etc.

Nice to have

3+ years experience with data governance, data compliance and/or data security.
2+ years’ experience building scalable services on top of public cloud infrastructure like Azure, AWS, or GCP. Extensive use datastores like RDBMS, key-value stores, etc.
2+ years’ experience building distributed systems at scale and extensive systems knowledge that spans bare-metal hosts to containers to networking.

Culture & Benefits

Culture of inclusion where everyone can thrive at work and beyond.
Embody values of respect, integrity, and accountability.

Member Of Technical Staff – Data Engineer (AI)