Data Engineer

TL;DR

Data Engineer (AI/Cloud): Building and optimizing high-load data platforms with an accent on Databricks, Python/PySpark, and cloud environments (AWS/Azure). Focus on adhering to software engineering best practices, managing identity/access systems, and utilizing AI tools in development workflows.

Location: Hybrid in New York City, New York / Boston, Massachusetts / Durham, NC / Princeton, NJ / Emeryville, California / Evanston, Illinois. Must be legally authorized to work in the United States on a permanent and ongoing basis without requiring current or future employer-sponsored work authorization.

Salary: $90,000 to $110,000

Company

hirify.global is a life sciences consulting firm with three decades of experience, helping companies optimize commercialization through strategic insight, advanced analytics, and technology.

What you will do

• Work extensively in Databricks, including package installation, cluster configuration, job management, user/permission administration, Unity Catalog management, and using Databricks APIs and AI tools.
• Follow software development best practices like Agile workflows, Git, code reviews, testing, and documentation.
• Administer and configure identity/access systems (AzureAD, SAML, Okta, OAuth) and apply cloud security best practices (AWS or Azure).
• Utilize WYSIWYG ETL tools (Azure Data Factory, Informatica, SnapLogic, Boomi).
• Deploy and manage container orchestration environments (Docker, Kubernetes, AWS ECS).
• Support web application development using frameworks such as Flask, Django, and front-end technologies like JavaScript, Ajax, CSS/HTML.

Requirements

• Bachelor’s or advanced degree in Engineering, Data Science, Statistics, Computer Science, or a related quantitative field.
• 1-3 years of data engineering experience using Python, including pandas and/or PySpark.
• Strong experience with relational databases such as PostgreSQL, Oracle, MySQL, Redshift, or Snowflake.
• Experience with Git-based workflows and CI/CD practices.
• Experience with identity and access management tools (AzureAD/SAML/Okta/OAuth) and cloud security best practices (AWS or Azure).
• English: B2 required.
• Work authorization: Must be legally authorized to work in the United States on a permanent and ongoing basis without requiring current or future employer-sponsored work authorization.

Nice to have

• Experience with ETL tools (Azure Data Factory, Informatica, SnapLogic, Boomi).
• Experience with containerization tools (Docker, Kubernetes, AWS ECS).
• At least 6 months of web application development experience with Flask, Django, JavaScript, Ajax, or CSS/HTML.
• Experience working with AI tools in development workflows.
• Recognized data engineering certifications (e.g., Databricks Data Engineer, Google Cloud Professional Data Engineer, Azure/Fabric Data Engineer, AWS Certified Data Engineer).
• Life Sciences industry experience.

Culture & Benefits

• Competitive compensation, comprehensive medical, dental, and vision insurance, life & AD&D coverage, disability insurance, and a Lifestyle Wellness Account.
• Generous PTO, company holidays, paid parental & bonding leave, and a flexible hybrid work policy.
• 401(k) with employer match, tax-free commuter, health, and childcare accounts, performance bonuses, and a monthly phone stipend.
• Mentorship, training, tuition reimbursement, and charitable donation match.
• Collaborative, innovative, and inclusive culture valuing ideas and impact in life sciences.