Member Of Technical Staff – Data Engineer (AI)

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 fine tuning models, support introspection and retrospection of data. Focus on constantly evolve and improve human AI interactions.

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 – $304,200 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.
• Work collaboratively with other Platform, infrastructure, 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 a path to get things done despite roadblocks to get your work into the hands of users quickly and iteratively.
• Enjoy working 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.
• 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.
• Ability to clearly communicate complex technical concepts to both technical and non-technical stakeholders.

Culture & Benefits

• Employees come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals.
• Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.