Data Engineer Job at Siri InfoSolutions Inc, Remote

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  • Siri InfoSolutions Inc
  • Remote

Job Description

Data Engiee

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

Job Tags

Contract work, Remote work, Flexible hours, 2 days per week

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