Top 13
Prep plan
Updated weekly · Last refresh Aug 30

Shift Technology Data Engineer Interview Questions

The questions to prepare for a Shift Technology Data Engineer interview. Questions from real interview reports rank first. Updated weekly.

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1
CodingStart here. 8 questions · ~65 min
Detect Duplicate Claims with Fuzzy MatchingHard

Tests algorithm design for deduplication using fuzzy matching on insurance claim data.

deduplicationfrequency countStringsShift Technology
Optimize Array ManipulationMedium

Tests algorithmic thinking and complexity optimization for data transformations.

time complexityArray ManipulationAlgorithmsShift Technology
Flatten Nested Medical Billing JSONMedium

Tests practical JSON parsing and data cleaning for complex healthcare billing structures.

json parsingData WranglingpythonShift Technology
Recursive vs Iterative ComplexityMedium

Tests ability to reason about time and space complexity tradeoffs in hierarchical processing.

Recursiontime complexitybasicsShift Technology
Graph Algorithm for Fraud RingsHard

Tests graph modeling for fraud detection patterns relevant to Shift Technology’s insurance use cases.

dfsbfsGraphsShift Technology
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2
Behavioral & Leadership3 questions · ~24 min
Deadline Pressure With Incomplete DataMedium

Tests prioritization under pressure, judgment with incomplete data, and ownership in delivering a decision despite ambiguity.

time managementDealing With AmbiguityPrioritizationShift Technology
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3
More topics2 questions · ~16 min
Optimize Join for ClaimsHard

Tests query optimization skills for large-scale insurance claims and policy joins.

Performance TuningJoinsindexesShift Technology
Handle New Query Types in PipelineMedium

Assesses pipeline extensibility, backward compatibility, and change management.

pipeline managementquery handlingShift Technology

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Hands-on SQL practiceWrite and run real queries in the editor. 3 drills · ~30 min
The finish line: interview-readyComplete all 13 questions plus 3 hands-on drills to finish this plan.