Schedules on this page
Mercury · Remote · Canada or USA
Parachute Health · Remote · USA
Honeycomb · Remote · Canada
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ZoomInfo · Remote · Waltham, MA, USA
Fidelity Canada · Remote · Toronto, ON, Canada
Amplitude · Hybrid · Singapore, Singapore
Ajax Systems · Onsite · Kyiv or Lviv, Lviv Oblast
University of Chicago · Hybrid · Chicago, IL, USA
Cognitiv · Hybrid · New York, NY, USA
ID.me · Onsite · Mountain View, CA, USA
Nexthink · Hybrid · Madrid, Spain
Meritis · Onsite · Paris, France
Starburst · Hybrid · Boston, MA, USA
Experian · Hybrid · São Paulo, Brazil
Anthropic · Hybrid · San Francisco, CA or Seattle, WA
Anthropic · Hybrid · San Francisco, CA, USA
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Employers hiring for Data Warehouse on this page include Experian, George Washington University, and ZoomInfo. Data Warehouse roles appear most frequently in engineering, data, and platform teams at companies that have adopted a reduced-hours schedule. Each listing indicates the seniority level and whether Data Warehouse is a primary requirement or one of several preferred skills — expand any role above to see the full stack and responsibilities.
Data Warehouse roles span the full seniority range — we list 17 open roles requiring Data Warehouse across entry-level, mid-level, senior, lead, and staff/principal positions. Senior and above tend to dominate because employers offering reduced-hours schedules often lean toward experienced individual contributors who can deliver consistently in fewer hours. Filter by level in the sidebar to narrow the list above.
Lead with measurable outcomes over time spent — Data Warehouse hiring managers at reduced-hours companies care about delivered value, not hours worked. Highlight projects where you shipped at a steady cadence, collaborated asynchronously, or reduced engineering toil through automation or tooling. Include concrete metrics (latency improvements, adoption numbers, cost reductions) rather than vague duty descriptions. Expand listings above to see the exact framing each employer uses in their job descriptions.
For the full-pay schedules here — 4-day weeks and 9-day fortnights — yes: you keep a full-time salary for a shorter week. Part-time and pro-rata roles instead scale pay to hours, and each listing makes the arrangement clear. Data Warehouse roles in tech and data typically command premium rates at both reduced-hours and traditional employers; specific ranges depend on seniority, location, and sub-specialty (e.g. backend vs frontend, infra vs ML). Individual listings above show exact bands where the employer publishes them.
Depends on the role, but Data Warehouse candidates who also demonstrate async communication, clean documentation, and cross-functional collaboration are typically strong fits for reduced-hours employers — those companies rely on written-first communication and high-context handoffs to operate on a compressed schedule. Technical-adjacent skills vary by stack. Browse the top skills shown in the sidebar to see which tags co-occur most often with Data Warehouse on current listings.
Work-life balance
85+ excellent, 70+ great, 55+ good. How we score
Schedule
Work-life balance
85+ excellent, 70+ great, 55+ good. How we score
Schedule