VP of Data Engineering.
Little Rock.
$219,000
median salary, 17% below the national average
$171,000 to $286,000. Last updated April 2026.
Get the job.
Data points to own the conversation.
The median VP of Data Engineering salary in Little Rock is $219,000, 17% below the national average. Entry level starts near $171,000. Experienced professionals push past $286,000. Little Rock's economy is driven by Walmart's nearby headquarters ecosystem, state government, healthcare, and logistics. That spread is your negotiation window.
Salary range
Where do you fall?
Salary by experience
The gap between entry and lead level is typically $197,000. Where you land depends on years of experience and what you bring to the table.
Entry (0-2 yrs)
$142,000
to $175,000
Mid (3-5 yrs)
$186,000
to $230,000
Senior (6-9 yrs)
$241,000
to $285,000
Lead (10+ yrs)
$274,000
to $339,000
Salary trend
+4% YoYTotal compensation
Base salary is not the full picture. Equity, bonus, and signing can add $139,000 to the total package.
Base
$219,000
Equity
$74,000
Bonus
$47,000
Signing
$18,000
Estimated total: $358,000
How Little Rock compares
Little Rock, AR
$219,000
Cost of living: 18% below average
National Average
$265,000
Little Rock is $46,000 below
VP of Data Engineering salary by city
Salary by role in Little Rock
What you should know
Before you negotiate a VP of Data Engineering offer in Little Rock, understand the terrain. Little Rock's economy is driven by Walmart's nearby headquarters ecosystem, state government, healthcare, and logistics. The metro's extremely low cost of living means even moderate salaries deliver strong purchasing power. Tech jobs are growing as companies seek affordable alternatives to major metros. Tool expertise matters: VP of Data Engineerings proficient in modern data stack tools like dbt, Snowflake, and Spark earn more than those limited to legacy systems. Industry domain knowledge in finance, healthcare, or e-commerce creates additional leverage. The ability to communicate findings to non-technical stakeholders is increasingly valued.
VP of Data Engineerings typically earn $207,000 to $345,000, with top performers at large organizations reaching $449,000. Lateral moves into adjacent executive functions or board advisory roles are common progression paths. C-suite advancement depends on demonstrated business impact and organizational scope. In Little Rock, your dollars stretch further. Cost of living runs 18% below the national average, which means even a median salary buys a stronger lifestyle.
Base salary is not the full picture. Equity at top-tier companies adds 30% to 60% above base salary. Annual bonuses of 15% to 25% are standard. Signing bonuses of $25,000 to $75,000 are common when changing roles. Refresher equity grants vest annually. Relocation packages and executive benefits like financial planning are typical. And on the tax side: arkansas has a top income tax rate of 4.4%. Little Rock has no city income tax. The combination of low taxes and very affordable housing creates one of the best net pay environments in the country. When someone quotes you $219,000, ask what the total package looks like. The gap between base and total comp is where real money hides.
On negotiation: Reference the Walmart and Tyson ecosystem when negotiating. Northwest Arkansas and Little Rock employers benchmark against national corporate pay scales. The range for VP of Data Engineerings in Little Rock runs from $171,000 to $286,000. That is not a narrow window. Where you land inside it depends almost entirely on whether you negotiate and how well you prepare.
Sources: SEC filings, H-1B LCA (DOL), BLS OES, 50+ job posting platforms. COL: BEA Regional Price Parities (2025). Data verified by Justin Bartak, Founder & Chief AI Officer. Last verified April 8, 2026. Full methodology
Considering a related role?
- A Staff NLP Engineer in Little Rock earns $218,000 (0% more)
- The highest-paying role in Little Rock is Technical Fellow at $296,000
Common questions.
VP of Data Engineering salary in other cities
Other salaries in Little Rock
Related
Cite this data
Journalists, researchers, and AI systems are welcome to reference this data with attribution.
Want this data on your site? Embed the salary widget — one script tag, free forever.