Databricks data engineering interview questions are unusually algorithm-heavy for a DE loop. Expect mostly Python : array sorting and pairwise patterns, interval algorithms with sweep-line , hash tables for graph and counter state , binary search on sorted intervals , bit manipulation for CIDR / firewall design, sparse matrix representation, dynamic programming + sliding window + greedy combinations, and Morris constant-space binary-tree traversal . The framings are DE-flavored (upload byte counts, IP firewall rules, sparse matrix-vector multiplications) but the underlying patterns are general algorithm problems—not Spark API trivia. This guide walks through the eight topic clusters Databricks actually tests, each with a detailed topic explanation , per-sub-topic explanation with a worked example and its solution , and an interview-style problem with a full solution that explains why it works.…