Description: Title: Data Engineer
Contract Duration: 12 months + extensions
Location: Glendale,
Onsite Requirement
Current requirement: 2 days per week onsite
Potential future increase to up to 4 days, but not confirmed
Must work onsite hybrid starting week 1 (2 weeks max from the time of offer acceptance)
Zero exceptions will be made, as this is corporate policy - no delayed remote start, no remote work
2 days a week onsite, must be flexible up to 4 days a week onsite
Core Responsibilities
The candidate will be expected to:
Work directly on data pipelines
Debug and resolve pipeline issues
Support testing use cases
Contribute to production code with peer review oversight
Focus on code quality and reliability
Must-Have Skills
The must-have requirements have been refined:
Spark experience (must-have)
SQL experience (must-have)
Preferred / secondary:
Databricks (preferred, not required)
AWS (preferred cloud platform)
Cloud & Technical Expectations
AWS is the preferred cloud environment
Multi-cloud experience is acceptable at the junior level, but less scrutiny is applied compared to senior roles
Less emphasis on architectural reasoning for junior candidates
Focus is on practical, hands-on experience rather than theoretical decision-making
Experience in mid-sized companies
More hands-on pipeline troubleshooting and maintenance
Ability to identify and resolve pipeline issues using basic to mid-level methods ("ABC methods")
Less emphasis on advanced architecture or large-scale system design
The role is now more execution-focused, with the expectation that candidates will:
Be overseen and mentored by senior team members
Participate in peer code reviews focused on quality and testing
Grow into the role over time
The hiring manager clarified:
The role is purely data engineering
Analytics is not a core responsibility
The team's function is to provide data for business teams to analyze, not perform analytics themselves
Marketing Data Exposure
Marketing data experience is optional / nice-to-have
The environment is small-scale (approximately 5 6 people historically)
Not a core requirement for the role
Candidate Profile
Ideal candidates (3-year level) are expected to be:
Early in their career / recently in the workforce
Highly adaptable and fast learners
Strongly hands-on and execution-focused
Comfortable troubleshooting real production issues
Less focused on organizational or architectural decision-making
They are expected to:
Adapt quickly to new tools
Focus on solving problems rather than debating platform decisions
Technical Assessment
A technical assessment is being considered.
Key preferences:
Should evaluate real-world problem-solving ability
Should measure candidate approach and thinking, not just correctness
Should avoid being purely syntax-based or "right/wrong" focused
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