Data Engineer Salary in Denver — 2026 BLS Data
Salary distribution
Percentile breakdown of Data Engineer base salaries in Denver.
The $126K median base for a data engineer in Denver is the number most job boards cite, but it flattens a market that runs from $70K contract-to-hire roles at regional healthcare companies to $200K+ senior positions at Palantir’s Denver hub. The figure comes from BLS OEWS May 2024 data for the Denver-Aurora-Centennial MSA, cross-referenced against Colorado Department of Labor & Employment’s 2024 OEWS release (published July 2025 after a delay caused by the state’s unemployment-insurance-system modernization). The computer and mathematical occupations group in Denver reported a mean hourly wage of $60.06 in May 2024 — about $124,900 annually — which anchors the range. Data engineering, spread across SOC codes 15-2091 (Data Engineers) and adjacent classifications, clusters right around that mean for mid-career practitioners.
Treat $126K as the market price for a mid-level practitioner with three to six years of experience, fluency in a modern cloud stack (AWS, GCP, or Azure), and working knowledge of Spark or dbt. If you’re below that number at a Denver company and you’ve been there more than 18 months, you have a data point worth using.
How Denver compares to other data engineering hubs
Denver is a second-tier market by salary, but the gap to the coast has narrowed meaningfully since 2022, and the cost-of-living math increasingly favors it.
San Francisco sits at roughly $175K-$195K median base for data engineers at non-FAANG companies, with total comp in the $230K-$280K range once you include RSUs at mid-level. Seattle tracks a bit lower — $160K-$175K median base — and Austin has settled around $140K-$155K after the post-pandemic surge. Denver’s $126K median looks modest by comparison, but it’s 102% of what the same BLS computer/math occupations group earns nationally in absolute terms, and once you adjust for Denver’s COL index of 113, it delivers more real purchasing power than a $157K offer in Seattle (COL ~149) or a $190K offer in San Francisco (COL ~179).
Chicago is the most useful comparison. It runs about $130K-$140K median base for data engineers — modestly above Denver — with a COL index around 107. Denver trades slightly higher nominal wages for slightly higher cost, and the two cities end up within five percentage points of each other on purchasing-power-adjusted compensation. The practical difference: Chicago has more Fortune 500 financial and industrial employers building large internal data platforms; Denver skews toward tech, energy, and healthcare data.
Within Colorado, Boulder adds a premium of roughly 5-8% for roles at NCAR, NIST contractors, or research-adjacent companies like SparkCognition. Fort Collins and Colorado Springs typically come in 10-15% below Denver despite overlapping labor pools.
What drives the P25 to P90 spread
The $81K gap between the 25th percentile ($104K) and the 90th percentile ($185K) inside a single metro reflects four distinct market segments, not a single continuous spectrum.
Company tier and industry. Palantir Technologies, headquartered at 1555 Blake St. in Denver, anchors the high end of the local market. Senior data engineers there work on Forward-Deployed Engineering teams and regularly earn $170K-$220K base, with total compensation — including RSUs — pushing well above that. Arrow Electronics, a Fortune 100 distributor with deep data infrastructure needs, pays $130K-$155K for mid-senior roles. DaVita, a large Denver-based healthcare company with significant data engineering needs, typically runs $120K-$140K for experienced practitioners. Regional insurance companies, energy firms (Xcel, Civitas Resources), and government contractors fill in the $95K-$120K range. Startups and scale-ups in the Ibotta / Guild Education tier can match or exceed incumbent wages, but the variance is high.
Level and scope. Entry-level data engineers with one to two years of experience and a bootcamp or CS degree background typically land $80K-$100K in Denver. Mid-level (three to six years, pipeline ownership, some mentorship) runs $110K-$145K. Senior (six-plus years, architecture ownership, cross-team stakeholders) clears $145K-$175K. Staff and principal roles — where you’re setting data platform strategy for a business unit — reach $180K-$220K+ at the larger employers. The BLS bucket includes all of these, which is why P25 to P90 spans nearly 2x.
Technical specialization. The three premium skill clusters in Denver’s 2024-2025 market are Databricks certification (the Lakehouse architecture is the dominant pattern in the Denver energy and healthcare sectors), real-time streaming with Apache Kafka or Flink, and MLOps pipeline work that bridges data engineering and ML engineering. Any one of these can move a base offer $15K-$25K above the generic “build ETL pipelines” rate. Databricks-certified engineers in Denver’s energy sector are seeing $155K-$175K mid-level offers that would have been $130K-$140K three years ago.
Remote and hybrid premium. Denver has become a net importer of tech salaries. A significant share of Denver-based data engineers work for Bay Area or Seattle companies on remote or hybrid terms and are paid on a national-or-coastal band, not a Denver-local band. These roles tend to land in the P75-P90 range of the local distribution ($152K-$185K) because the employer is calibrating to a national benchmark rather than the Denver market. If you are being paid on a Denver-local band for a role that recruits nationally, that’s worth flagging in a conversation with your manager.
Total compensation breakdown
The BLS median base of $126K is not what most data engineers in Denver actually take home in total compensation. A realistic breakdown for a mid-level data engineer at an established Denver company:
- Base salary: $126,000. This is the BLS-tracked figure and what your W-2 reports. It’s also the number recruiters quote in job postings, partly because Colorado’s Equal Pay for Equal Work Act (SB21-085) requires employers to post salary ranges — a genuine transparency advantage for job seekers in this state.
- Annual cash bonus: ~$9,000. Most mid-size Denver employers pay a 5-10% target bonus tied to company and individual performance. Healthcare and financial services companies tend to pay closer to 10%; energy companies are variable and tied to commodity cycles; pure-tech companies often skip cash bonus in favor of equity.
- Equity / RSUs: ~$12,000 annualized. This number understates the top end dramatically. At a public company with an active refresh program, senior engineers often see $30K-$60K in annualized equity. At Palantir specifically, engineers participate in a company with publicly traded stock; mid-level base plus equity commonly reaches $220K-$260K total comp. At a seed-stage startup, the equity might be worth nothing or everything — the $12K figure here reflects the statistical center of the distribution, not the tails.
Total annualized compensation at median: approximately $147,000.
For a senior data engineer at a top-tier Denver employer, replace those numbers with $170K base, $18K-$25K bonus, and $40K-$70K annualized equity — total in the $230K-$265K range. That’s the realistic ceiling for a Denver-based role without relocating or going fully remote on a coastal band.
Cost-of-living adjusted purchasing power
Denver’s COL index of 113 means you’re spending 13% more than the national average. Housing is the biggest driver: the median single-family home in the Denver metro hit $598,000 in Q4 2024 according to the Denver Metro Association of Realtors. The median rent for a one-bedroom apartment in central Denver runs $1,700-$2,100/month depending on neighborhood, roughly 45-60% higher than the national median.
The COL-adjusted purchasing power calculation:
A $126K Denver base is equivalent to about $111,500 at the US national average — meaning your Denver salary buys what $111,500 would in an average-cost US city. That’s still meaningfully above the national median household income of $80,610 (Census ACS 2023).
Flip the comparison to coastal markets:
- A $126K Denver base has the same purchasing power as $198K in San Francisco (COL 179). You’d need $198K in SF to live the same way.
- It matches a $168K Seattle salary (COL 149) in real purchasing power.
- It slightly outpaces a $120K Austin salary (COL 113) — effectively a wash.
The implication is straightforward: an experienced data engineer who’s weighed down by the San Francisco rent burden but wants to stay close to a major airport with direct flights to SFO and JFK should model Denver seriously. At P75 ($152K), the COL-adjusted advantage over San Francisco becomes substantial: $152K in Denver buys the equivalent of about $240K in SF.
Three-lever negotiation playbook
Lever 1: Use Colorado’s pay transparency law as your anchor.
SB21-085 requires Colorado employers to post salary ranges in job listings. Before you enter any negotiation, search the company’s Colorado-posted listings on LinkedIn or their careers page and find data engineering roles at your target level. The posted range’s upper bound is your opening reference point — employers rarely post ranges they can’t actually pay, and citing a posted range to a recruiter is clean, non-confrontational, and hard to argue with. Say: “I saw your Colorado posting listed a range up to $X for this level — I’d like to target that end given my background in Y.” That framing avoids the adversarial dynamic of “I deserve more” and grounds the ask in the employer’s own public data.
Lever 2: Price your specialization explicitly.
Generalist data engineering skills (Airflow, SQL, dbt, basic Spark) are well-supplied in the Denver market. Scarce skills command premiums that recruiters have discretion to pay. If you have Databricks certification, production Kafka experience, or a demonstrated track record building ML feature pipelines, name it in the negotiation and tie it to a specific number. “Engineers with Databricks Lakehouse certification are posting $15K-$20K above market rate in Denver right now” is a concrete, verifiable claim — you can point to job postings to support it. This shifts the conversation from “how much do you want” to “here’s what this skill is worth in this market.”
Lever 3: Negotiate the remote/hybrid classification, not just the base.
A significant fraction of high-paying data engineering roles in Denver are hybrid or fully remote with a coastal pay band. If you are being offered a role on a Denver-local band that is also open to Seattle or Bay Area candidates, ask explicitly: “Is this role benchmarked to the Denver market or to a national band?” If the answer is Denver, you have a legitimate basis to negotiate toward the upper end of the local range — or to ask whether the company pays on national bands for remote roles. The delta between a Denver-local P50 ($126K) and a national-remote P75 ($155K-$170K) is $29K-$44K annually. That’s the conversation worth having.
Data caveats
BLS OEWS is the most reliable public source for base salary data — it draws from Unemployment Insurance records covering nearly all employers, not self-reported surveys — but several limitations apply here:
Equity is excluded entirely. BLS tracks W-2 wages. RSUs vest as ordinary income and show up in wage records, but initial equity grants and unvested awards are invisible. For roles at Palantir, a pre-IPO startup, or any company with significant stock compensation, BLS understates total comp materially.
Colorado’s 2024 OEWS release was delayed. The Colorado Department of Labor & Employment published its 2024 OEWS data in July 2025, about three months later than the national release, due to the state’s UI system modernization. The data is current as of May 2024 wages — which means it predates roughly 18 months of additional salary movement in an active market.
Data engineers appear across multiple SOC codes. BLS does have a dedicated SOC code (15-2091) for Data Engineers introduced in the 2018 taxonomy revision, but older job postings and some employer payroll records still classify the role under Software Developers (15-1252), Database Architects (15-2061), or Mathematical Science Occupations (15-2099). The Denver metro figures here aggregate across these classifications, which is how BLS publishes MSA-level data for this occupation.
Self-reported salary databases skew upward. When you cross-reference against Glassdoor or Blind data, expect figures 8-15% higher than BLS across the board. Engineers who bother to report on those platforms disproportionately work at top-paying companies and recently changed jobs — both of which select for above-median compensation.
For the most current snapshot, supplement BLS with Colorado job postings (which must include salary ranges), Levels.fyi filtered to the Denver MSA, and any recent salary transparency reports from Denver Tech Community or Built In Colorado’s annual survey.
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