Market ranges & how to evaluate your offer
Most offers in Irving fall between $150k–$280k depending on seniority, location, and role scope.
Local vs National
Irving pays 41.9% less than the national typical
Salary data is self-reported and varies by scope, company, and location. Use ranges, not single numbers.
Compare your total comp for Data Engineer — 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 Irving, TX market.
Estimated monthly costs for this basket are about 87% 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 Engineer earner.
$2,125.49/ mo
HOUSING
$1,750.55 USD (82.4% of est. monthly costs)
FOOD
$195.44 USD (9.2% of est. monthly costs)
TRANSPORT
$96.00 USD (4.5% of est. monthly costs)
LIFESTYLE
$83.50 USD (3.9% of est. monthly costs)
Housing dominates Irving's monthly budget at $1,751, with a city center one-bedroom apartment costing $1,550. Basic utilities add $139 monthly, while internet runs $60 for high-speed service, keeping total housing costs well within range for Dallas-area tech professionals.
Food expenses total $195 monthly in Irving, with restaurant meals averaging $15 and grocery staples reasonably priced. Basic items like milk ($1.12/liter) and chicken ($11/kg) reflect typical Texas affordability, making dining and grocery costs quite manageable compared to major tech hubs.
Public transit costs $96 monthly for a regular pass in Irving's Dallas-area system. This covers commutes to nearby tech corridors and downtown Dallas, though many professionals in this suburban location may prefer driving for flexibility across the sprawling metro region.
Discretionary spending totals $84 monthly with affordable fitness clubs at $21 and cinema tickets at $9. Coffee runs about $4.50 per cappuccino, keeping lifestyle costs low and leaving room for additional entertainment within a tech professional's budget.
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.
Median compensation, hiring momentum, and pay mix for Data Engineers in this market.
Citi
Stable Hiring$115k
Mostly hires: C11
Data Engineer compensation varies significantly by location, with companies using either location-adjusted or national pay bands. San Francisco and New York typically offer $180K-$250K for senior roles, while Austin and Denver range $140K-$190K. Some tech companies like GitLab and Buffer maintain location-agnostic salaries, paying San Francisco rates regardless of employee location.
The hybrid work trend has created tiered compensation models where Data Engineers can negotiate 10-15% premiums for occasional office presence. Companies increasingly offer choice between higher pay with office requirements or slightly lower compensation for full remote flexibility. Focus negotiations on your specialized skills in cloud platforms and real-time processing rather than just location preferences.
Moving from expensive metros like San Francisco to lower-cost areas while maintaining remote salary can dramatically improve purchasing power. A $200K Data Engineer salary in Austin provides equivalent lifestyle to $280K in San Francisco, while remote work eliminates commute costs and time. Consider total compensation including equity, which often vests regardless of location.
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How adjacent roles compare in pay and scope.
$120k-$495k
High overlap in software-engineer roles
Details$112k-$432k
High overlap in software-engineer roles
Details$117k-$402k
High overlap in software-engineer roles
Details$102k-$316k
High overlap in software-engineer roles
Details$123k-$420k
High overlap in software-engineer roles
Details$105k-$420k
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 Engineer 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.
"I used the salary data to benchmark my offer, then generated a negotiation email. Got a 12% bump without a single awkward conversation."
