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11 Walmart Global Tech Data Engineer (New Grad) Interview Questions (2026)

Walmart Global Tech's Data Engineer new-grad loop in 2026 is a HackerRank with SQL, a phone screen, and a 4-round virtual onsite covering SQL deep-dive, pipeline design at petabyte scale, a coding round, and behavioral. Walmart's data footprint is among the largest in retail — billions of point-of-sale events, supply-chain telemetry, customer interactions — and the loop reflects that scale.

By Alex Chen, Founder, InterviewChamp.AI · Last verified

Loop overview

DE new-grad candidates report a 6-10 week timeline in 2026. HackerRank (SQL plus 1 coding, 90 minutes). Phone screen (45 min). Virtual onsite: one SQL deep-dive, one pipeline-design round, one coding round, one behavioral. Stack: Spark and Hive for batch, Kafka and Flink for streaming, Hadoop-era pieces still around alongside modern cloud (GCP and Azure), Python/Scala for pipeline code. Walmart's data lake spans dozens of petabytes — sizing and partitioning conversations are real.

Behavioral (3)

Why Walmart Global Tech for data engineering?

Frequently asked

Outline

Specifics: petabyte-scale retail and supply-chain data, the cloud migration journey, breadth of data domains (POS, inventory, customer, advertising, supply chain). Avoid generic 'I like data' framings.

Source: Glassdoor 2026-Q1 Walmart Global Tech DE behavioral ·

Tell me about a time you debugged a slow query.

Frequently asked

Outline

STAR. Pick a real moment. Walk through how you found the bottleneck (EXPLAIN plan, profile, query metrics), what fix you applied (index, partition prune, rewrite), and how you verified. Show systematic debugging, not guessing.

Source: Glassdoor 2026-Q1 Walmart Global Tech DE behavioral ·

Describe a time you worked with stakeholders to clarify requirements.

Frequently asked

Outline

STAR. Data engineers sit between analytics teams and source systems — requirements are often fuzzy. Pick a moment where you turned a vague ask into a concrete data contract. Show empathy and rigor.

Source: Glassdoor 2026-Q1 Walmart Global Tech DE behavioral ·

Technical (7)

Write a SQL query to find the top 10 SKUs by sales velocity (units per day) in each region over the last 30 days.

Frequently asked

Outline

Aggregate units sold per SKU per region with date range. Compute velocity = total_units / 30. Use window function: ROW_NUMBER() OVER (PARTITION BY region ORDER BY velocity DESC). Filter where row_num <= 10. Be ready for the tiebreaker variant.

Source: Glassdoor 2026-Q1 Walmart Global Tech DE SQL ·

What's the difference between a narrow and wide transformation in Spark?

Frequently asked

Outline

Narrow: each output partition depends on at most one input partition (map, filter). No shuffle. Wide: output partition depends on multiple input partitions (groupBy, join, distinct). Shuffle required, which is expensive. Optimize by reducing wide transforms (broadcast-join small tables, pre-aggregate before joining).

Source: Levels.fyi Walmart Global Tech DE 2026 reports ·

How would you handle a slowly-changing dimension in a warehouse?

Frequently asked

Outline

Three SCD types: Type 1 overwrites (no history). Type 2 adds a new row with effective dates (full history). Type 3 keeps current + previous in same row (limited history). Walmart's customer and store dimensions are mostly Type 2 because analytics needs historical context.

Source: Glassdoor 2026-Q1 Walmart Global Tech DE data modeling ·

Implement a Python function that detects gaps in a sequence of timestamped events.

Frequently asked

Outline

Sort by timestamp. Walk through, compute diff between consecutive timestamps. Flag where diff exceeds a threshold (5 min for normal heartbeat, etc). Return list of (gap_start, gap_end) intervals. Discuss SQL variant using LAG().

Source: Glassdoor 2026-Q1 Walmart Global Tech DE coding ·

How would you partition a billion-row sales table?

Frequently asked

Outline

Date-based partitioning is typical for sales — most queries filter on date range. Sub-partition by region or store_id for hot-region acceleration. Choose granularity (daily for hot data, monthly for cold). Discuss tradeoffs — too many partitions hurts catalog performance.

Source: Glassdoor 2026-Q1 Walmart Global Tech DE pipeline ·

Write a SQL query to find days where total sales dropped more than 30% compared to the same day of the previous week.

Occasionally asked

Outline

Aggregate daily sales. Self-join (or LAG OVER ORDER BY date with offset 7) to get previous-week-same-day. Filter (curr - prev) / NULLIF(prev, 0) < -0.3. Handle missing days (LEFT JOIN against a calendar table).

Source: Levels.fyi Walmart Global Tech DE SQL, 2026 ·

How would you ensure exactly-once processing in a streaming pipeline?

Occasionally asked

Outline

End-to-end exactly-once requires: idempotent sinks (upsert by event_id) plus checkpointing for the streaming framework. Discuss why 'exactly-once' is really 'effectively-once' — the source may deliver duplicates, but the sink dedupes. Walmart uses this pattern for inventory and order updates.

Source: Glassdoor 2026-Q1 Walmart Global Tech DE streaming ·

System / object-oriented design (1)

Design a pipeline that ingests POS (point-of-sale) data from thousands of Walmart stores and lands it in an analytical store for the next-day report.

Frequently asked

Outline

Source: each store emits batches to a streaming bus. Ingest tier: Kafka-style log per region. Batch process: Spark job partitions by date and store_id. Sink: Parquet on a data lake, then load into the warehouse. Discuss late-arriving data (a store's connection drops, batch arrives 6 hours late), idempotency on retries, partition pruning for query performance.

Source: Glassdoor 2026-Q1 Walmart Global Tech DE pipeline design ·

Walmart Global Tech interview tips

  • SQL fluency is non-negotiable. Practice window functions cold.
  • Spark and Hive show up constantly. Know Spark's execution model (DAG, stages, shuffles).
  • Walmart's scale shapes the conversation. Be ready for 'how would this handle petabytes' questions.
  • Stack is multi-cloud (mostly GCP and Azure). Familiarity with cloud data services helps but isn't gatekept.
  • Behavioral rounds map to Walmart's leadership principles. Customer Focus and Ownership come up most.

Frequently asked questions

How long is Walmart Global Tech's DE new-grad interview process in 2026?

Most reports show 6-10 weeks from HackerRank to offer.

Where are Walmart Global Tech DE roles located?

Bentonville and Sunnyvale are the largest hubs. Some roles in Reston and other US offices.

What's the dominant language for DE at Walmart Global Tech?

Python and Scala dominate. SQL is constant. Java shows up for legacy services.

Does Walmart Global Tech use Spark heavily?

Yes — Spark is a core part of the batch and streaming pipelines. Familiarity with Spark concepts is expected; CLI fluency is taught on the job.

Does Walmart Global Tech sponsor visas for DE new-grads?

Walmart has historically sponsored H-1B and OPT for US roles. Confirm with your recruiter for 2026.

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