Housing
Housing dominates Memphis living costs at $1,676 monthly, with downtown one-bedroom apartments averaging $1,408. Basic utilities add $184 and internet runs $72, making housing roughly 84% of total monthly expenses.
Market ranges & how to evaluate your offer
Most offers in Memphis fall between $0k–$0k depending on seniority, location, and role scope.
Local vs National
Memphis
Salary data is self-reported and varies by scope, company, and location. Use ranges, not single numbers.
Compare your total comp for Data — pick seniority, enter an offer, and preview the layout. Percentiles use your selected seniority when market data is available.
Seniority-level breakdown for this market.
Cost of living breakdown for Memphis, TN market.
Estimated monthly costs for this basket are about 82% of our comparable national baseline—day-to-day spending tends to go further here.
How the estimated monthly cost bundle splits across categories for a typical Data earner.
$1,998.84/ mo
HOUSING
$1,675.53 USD (83.8% of est. monthly costs)
FOOD
$185.86 USD (9.3% of est. monthly costs)
TRANSPORT
$42.50 USD (2.1% of est. monthly costs)
LIFESTYLE
$94.95 USD (4.8% of est. monthly costs)
Housing dominates Memphis living costs at $1,676 monthly, with downtown one-bedroom apartments averaging $1,408. Basic utilities add $184 and internet runs $72, making housing roughly 84% of total monthly expenses.
Food costs stay manageable at $186 monthly in Memphis, with restaurant meals around $15 and grocery staples like eggs ($3) and chicken ($8/kg) remaining affordable. This represents solid value compared to most major US metros.
Public transit offers excellent value at just $43 for a monthly pass, though Memphis's car-centric layout means many professionals still opt for driving despite the transit savings available.
Discretionary spending runs $95 monthly with affordable entertainment options including $20 gym memberships, $12 movie tickets, and $5 cappuccinos. These costs leave room for leisure even on modest budgets.
Salary data only matters if you land the interview. Get a free AI-powered resume review and see how yours stacks up.
Location-specific ranges with optional cost-of-living adjustment.
Data professionals face varying remote compensation models depending on company policies and location. Many tech companies offer location-adjusted salaries, where a data analyst in San Francisco might earn $120,000 while the same role in Austin pays $95,000. However, some organizations like GitLab and Buffer maintain location-agnostic pay bands, offering consistent compensation regardless of where data professionals work remotely.
The hybrid work trend has created tiered compensation structures for data roles, with fully remote positions sometimes offering 5-10% lower base salaries than hybrid roles requiring 2-3 office days. When negotiating remote data positions, emphasize your ability to collaborate across time zones, manage distributed datasets, and maintain data security protocols from home offices. Companies often value data professionals who can demonstrate strong remote communication skills and self-directed project management.
Moving from expensive metros like New York or San Francisco to lower-cost areas while maintaining remote data roles can significantly boost purchasing power. A $130,000 data scientist salary in San Francisco has roughly $65,000 in purchasing power after housing and taxes, while the same role paying $110,000 remotely from Denver provides approximately $75,000 in real spending power, representing a meaningful lifestyle upgrade despite the nominal pay reduction.
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How adjacent roles compare in pay and scope.
$96k-$318k
High overlap in data-scientist roles
Details$104k-$244k
High overlap in data-scientist roles
Details$120k-$495k
High overlap in software-engineer roles
Details$112k-$432k
High overlap in software-engineer roles
Details$132k-$573k
High overlap in product-manager roles
Details$117k-$402k
High overlap in software-engineer roles
DetailsPractical steps that move the number without damaging the relationship.
Start your ask above the median. You'll rarely be offered more than you ask, so anchor high and let the employer negotiate you down.
Stronger approach:
Say 'market data puts this role at $X–$Y' — not 'I was hoping for more'. External benchmarks are harder to argue against than personal expectations.
Stronger approach:
When base is stuck, negotiate equity vesting schedule, signing bonus, or accelerated refresh grants. Total comp has more levers than base alone.
Stronger approach:
Ask for 48 hours to review. This creates time to counter and signals that you take offers seriously — not that you are uncertain.
Stronger approach:
Generate an aware negotiation email using Google market positioning data.
Mock interviews tailored to Google's process and evaluation criteria.
Common questions about Data compensation.
Tools built for professionals evaluating offers and preparing for interviews.
Our AI Interview Copilot listens to your live interview and feeds you real-time answers, so you walk in confident and walk out with the offer.
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