Data Engineer Salary in Houston — 2026 BLS Data
Salary distribution
Percentile breakdown of Data Engineer base salaries in Houston.
The BLS OEWS May 2024 survey puts the national median annual wage for Data Engineers (SOC 15-1243, Database Architects) at approximately $135,980. Houston-The Woodlands-Sugar Land comes in roughly 10% below that national benchmark, with a working median around $122,000 — a figure consistent with current-market salary data from Salary.com ($122,585 average), Built In ($120,000 median from anonymous submissions), and Glassdoor ($122,064 average). This is not a discount city for this role in the way that secondary markets like Memphis or Oklahoma City are. Houston is the fourth-largest metro in the US and the undisputed capital of the global energy industry. Its data engineering market is simply shaped differently than coastal tech hubs — the payor mix is dominated by energy conglomerates, healthcare systems, and a growing enterprise SaaS corridor, not by FAANG equity culture. Understanding that difference is the key to reading the numbers correctly.
What the median hides
$122,000 is an accurate shorthand for a mid-level data engineer at a mid-sized employer in the Houston metro. What it obscures is the width of the distribution on both sides.
The bottom quarter of the Houston range (P25: $97,000) includes data engineers working for smaller oil-field services companies, regional healthcare networks, non-profit hospital systems like Harris Health or UTHealth Houston, and early-stage energy-tech startups. These are legitimate data engineering jobs — building Databricks pipelines, managing data quality frameworks, instrumenting IoT sensor feeds from drilling platforms — but they are anchored to budgets that treat data engineers as infrastructure staff rather than strategic product builders.
The top decile (P90: $176,000 base) tells a completely different story. That tier captures data engineers inside the digital-transformation programs at Shell’s TechWorks campus, ExxonMobil’s Global Business Center in Spring, Chevron’s Houston-based IT organization, and Hewlett Packard Enterprise’s data platform group. It also captures the growing number of health-tech companies operating out of the Texas Medical Center, the largest medical complex in the world, where clinical data pipelines carry FDA-compliance requirements that command real premiums. These employers benchmark against national tech rates, not against the local median.
The median also misses the energy-sector specialization premium that is specific to Houston. A data engineer who can instrument refinery SCADA data, manage predictive maintenance pipelines for drilling equipment, or build carbon-accounting data products is not substitutable with a generalist data engineer who has only worked in SaaS or fintech. Houston pays for that specialization, and it pays in base, not equity — which shapes the total-compensation picture in ways you need to understand before negotiating.
How Houston compares to other data engineering hubs
Houston is a major market, but it is not on the same salary tier as the coastal tech capitals. A comparative snapshot based on BLS OEWS May 2024 metro estimates and current multi-source market data:
- San Francisco Bay Area: $155,000–$175,000 median base. At FAANG and hyperscaler data teams, senior data engineers clear $200,000–$250,000 base, plus equity that can double total comp. The market rate premium over Houston is real — roughly 30–40% on base — but the COL index of 178.6 means the purchasing-power gap is much narrower.
- Seattle: $145,000–$158,000 median base. Amazon AWS data engineering teams and Microsoft Azure anchor the market. Seattle’s 15–20% base premium over Houston compresses to near-zero on a COL-adjusted basis; both cities have no state income tax, so the federal tax math is identical.
- Austin: $115,000–$130,000 median base. Austin’s fast-growing tech corridor has not yet caught Houston on data engineering wages — ironically, Houston’s energy sector concentration drives higher median pay for technical roles than Austin’s startup-heavy mix. The gap is narrowing as Dell, Apple, Tesla, and Oracle’s Austin operations add data infrastructure roles.
- Dallas-Fort Worth: $118,000–$132,000 median base. The closest geographic peer. DFW has a broader corporate headquarters concentration (AT&T, Toyota, American Airlines, Goldman Sachs ops) that creates steady demand for enterprise data engineering. Pay tracks Houston closely, with Houston running $5,000–$10,000 higher median driven by energy-sector premiums.
- Houston: $122,000 median base. The local anchor.
The competitive insight here is that Houston competes on purchasing power rather than headline number. At a COL index of 94 — 6% below the US national average — Houston’s $122,000 median has the purchasing power of approximately $130,000 at the national average, or roughly $206,000 in San Francisco. You are not taking a pay cut to live in Houston; you are trading equity upside for stability, a lower cost of living, and a dominant position in one of the most data-intensive industries on earth.
What drives the spread: company tier, level, and specialty
The P25-to-P90 range spans $79,000 — almost 80% of the median itself. Three factors explain that spread.
Company tier. The single largest determinant of where you fall in the Houston distribution is your employer category.
The top tier — integrated oil majors, large independents, and their technology subsidiaries — pays the most and has the most structured compensation programs. Shell’s Woodlands campus, ExxonMobil’s Spring GBC, Chevron’s Houston offices, and ConocoPhillips run data engineering compensation against national Radford or Mercer benchmarks, not against local norms. Senior data engineers at these companies land $145,000–$175,000 base. BLS data for energy-specialized technical roles in the Houston metro showed specialized digital oilfield roles experiencing 34% year-over-year job posting growth in late 2024 against only 12% supply growth — that imbalance shows up as pricing pressure at the top of the band.
The second tier — mid-size energy companies, oilfield services (Baker Hughes, Halliburton, SLB), and large Houston-based healthcare organizations like Memorial Hermann or HCA Houston Healthcare — pays $115,000–$145,000 for equivalent mid-level roles. These employers have real data infrastructure investments and are growing their data teams, but they price against peer surveys within their sectors, not against Big Tech.
The third tier — regional enterprises, smaller startups, non-profit healthcare systems, and service companies supporting the energy sector — anchors the lower half of the distribution at $90,000–$118,000. Roles here are often structured as “data engineer / analyst” hybrids, carrying pipeline work alongside SQL reporting duties that don’t appear in pure-play tech job descriptions.
Level. Entry-level data engineers (0–2 years, associate or junior titles) in Houston typically earn $82,000–$102,000 at mainstream employers, landing near or below P25. Mid-level data engineers (3–5 years, independent on Spark/Airflow/dbt stack, contributing to architecture decisions) land $115,000–$140,000. Senior data engineers (5–8 years, owning design of data products, mentoring, stakeholder-facing) reach $145,000–$170,000 at tier-one employers. Staff and principal levels — most common at the oil majors’ technology transformation programs — push $175,000–$200,000 base, which places them well above P90.
Specialty. Houston’s industry mix creates specific skill premiums that don’t exist in the same form anywhere else in the country:
- Digital oilfield / industrial IoT data engineering (SCADA integration, time-series databases like OSIsoft PI or InfluxDB, real-time sensor data pipelines): 15–22% premium over generalist data engineers. This skill combination is difficult to hire nationally because it requires domain knowledge of upstream oil and gas operations.
- Carbon accounting and emissions data platforms (Scope 1/2/3 calculations, ESG reporting pipelines, GHG protocol implementations): an emerging premium of 10–18% as energy companies face SEC climate disclosure requirements and internal net-zero commitments.
- Clinical and regulatory data engineering at Texas Medical Center employers (HIPAA-compliant data lakes, HL7/FHIR integration, clinical trial data pipelines under 21 CFR Part 11): 12–17% premium, in line with what Boston’s life sciences corridor pays for the same skill set.
- Real-time streaming infrastructure (Kafka, Flink, Spark Structured Streaming): 10–15% premium, driven by trading desks at energy companies, refinery control systems, and financial services firms operating Houston offices.
If you hold any of these specializations and are targeting Houston employers, the relevant benchmark is P75 or above — not the $122,000 median.
Total compensation: base, bonus, and equity
Houston data engineering compensation is base- and bonus-heavy by design. The equity culture that inflates total comp in San Francisco does not replicate here in the same way. Here is how the stack breaks down for a mid-level data engineer at a mainstream Houston employer:
Base salary: $122,000. This is the BLS-tracked W-2 number and the component with the widest range. At energy majors with formal comp programs, base bands are tight and require VP-level approval to exceed. At mid-size operators, there is more flexibility, particularly if you are filling a role that has been open longer than 60 days — the average time-to-fill a specialized technical role in Houston’s energy sector reached 68 days in late 2024, compared to 42 days across all industries, which is a structural negotiating advantage for qualified candidates.
Annual bonus: ~$12,000. The major oil companies pay annual cash bonuses of 8–12% of base for individual contributors. For a $122,000 base, that is $9,760–$14,640. Bonus programs at energy companies tend to be more reliable than at VC-backed startups; Shell, ExxonMobil, and Chevron have not missed annual bonus payments in years when oil prices are above their operating thresholds. Healthcare employers pay slightly lower bonuses (5–10%), while oilfield services companies are more variable, tying bonuses to rig counts and project backlogs.
Equity / RSUs: ~$10,000 annualized. This is where Houston diverges most sharply from coastal tech. Most large energy companies are public but not growth stocks, so RSU grants are meaningful but not transformational the way pre-IPO or hyperscaler equity is. A senior data engineer at an integrated major might receive a four-year RSU grant of $40,000–$60,000 (roughly $10,000–$15,000 annualized) — a real benefit but not a game-changing one. Energy startups and tech companies operating in Houston (Google Cloud’s Houston energy practice, AWS oil-and-gas vertical, HPE) are exceptions that approach coastal equity structures. If equity upside is a priority, seek those employer categories specifically.
All-in total compensation for a median mid-level Houston data engineer: approximately $144,000. At a senior level with an energy major or tier-one employer: $175,000–$210,000 including bonus and RSUs. The gap between base and total comp is narrower in Houston than in Seattle or SF, which means the W-2 number on your offer letter is closer to your true annual income than it would be in an equity-heavy market.
Cost-of-living adjusted reality
Houston’s COL index of approximately 94 on the C2ER scale (US average = 100) makes it one of the most affordable large metros in the country for its income tier. The 2025 C2ER annual report confirms that Houston has the third-lowest cost of living among the 20 most populous US metro areas, with living costs 6–7% below the national urban average. Housing is the primary driver: median rent for a one-bedroom apartment in Houston runs $1,200–$1,600/month, compared to $2,200–$3,000 in Seattle, $3,000–$4,000 in the San Francisco Bay Area, and $2,400–$3,200 in Boston.
Running the COL adjustment on the $122,000 median:
- $122,000 Houston base = approximately $130,000 in purchasing power at the US national average (COL 100).
- $122,000 Houston base = approximately $109,000 equivalent in Austin (COL 119, driven up by tech-sector demand for housing).
- $122,000 Houston base = approximately $88,000 equivalent in Seattle (COL ~139).
- $122,000 Houston base = approximately $68,000 equivalent in San Francisco (COL 178.6).
Read the other direction: to match $122,000 of Houston purchasing power, a Seattle employer needs to pay you roughly $171,000, and a San Francisco employer needs to pay roughly $213,000. Most of them are paying their mid-level data engineers more than those figures in nominal terms — but not always by the margin you would expect after accounting for rent and state taxes (though Washington has no state income tax either).
Texas’s lack of a state income tax is a real but sometimes overstated benefit. For a data engineer earning $122,000 in Houston, the absence of state income tax saves approximately $4,500–$5,500 per year compared to a California employee at the same salary. That is real money, but not a large enough differential on its own to drive a location decision. The housing cost gap is what does the heavy lifting on purchasing power.
One structural caveat: the COL adjustment is cleanest for base salary. If a competing San Francisco offer includes $80,000 in annualized equity at a credible pre-IPO company, the purchasing-power math does not override that equity gap. Houston’s COL advantage applies most clearly when the compensation structures are similar and the choice is between nominal salary levels — not when one city is offering high equity alongside higher base.
Three-lever negotiation playbook
Houston employers, particularly in energy and healthcare, run more structured compensation programs than Bay Area startups. Most benchmark against Radford (now Aon) or Mercer surveys, which means the recruiter has a band and knows where your offer sits within it. That structure creates specific pressure points.
Lever 1: Use specialization to justify a P75 anchor. The single most effective move in a Houston data engineering negotiation is demonstrating domain-specific expertise before the salary conversation begins. If you have experience with digital oilfield data infrastructure, SCADA integration, or clinical trial data pipelines, say so explicitly early in the interview process — not as a closing argument, but as context. Recruiters at energy majors who are filling a niche role have more authority to flex the band when they believe the candidate is genuinely specialized, because the hiring manager has already signaled that filling it with a generalist is not acceptable. Targeting P75 ($148,000) for a senior specialized role is a defensible ask — frame it as a percentile, not a number you selected arbitrarily. “Based on BLS OEWS and current market surveys for data engineers with digital oilfield experience in Houston, I’m targeting the 75th percentile” lands better than “I want $148,000.”
Lever 2: Negotiate title grade alongside base. Houston energy and healthcare employers use formalized leveling systems (Data Engineer I/II/III/Senior/Principal, or equivalent grade structures like G10/G11/G12 at some majors). Bands are anchored to grades, which means negotiating from “Data Engineer III” to “Senior Data Engineer” unlocks a higher comp band through HR’s own system — less friction than asking a recruiter to seek an exception above the ceiling. If you have five or more years of experience and your interview performance demonstrated senior-level decision-making, make the title argument first. A title upgrade is not a cost-center ask; it is a classification ask. That framing is easier to approve.
Lever 3: Negotiate start date and signing bonus against unvested equity. Houston’s energy sector runs long hiring processes — that 68-day average time-to-fill is real, and it creates a natural lever. If you are leaving unvested RSUs or a year-end bonus at your current employer, quantify the number precisely and ask for either a signing bonus to cover it or a deferred start date. Energy companies that have been recruiting for a specialized role for two months are not going to let a $15,000 signing bonus lose them a candidate. That request, framed as “I need to cover X in unvested compensation that I will forfeit if I leave before March 15th,” is among the cleanest negotiating asks in any industry — it is specific, verifiable, and does not threaten to walk from the offer.
Data caveats worth knowing
BLS OEWS is the most methodologically rigorous public compensation source available for this market — mandatory employer reporting covering hundreds of thousands of worksites — but it has limitations that are particularly relevant for data engineers in Houston.
SOC 15-1243 is an imprecise bucket. “Database Architects” was the BLS classification used to capture data engineer roles before the occupation had its own dedicated SOC code. Many Houston employers still classify data engineers under 15-1242 (Database Administrators), 15-1299 (miscellaneous computer occupations), or 15-1252 (Software Developers) depending on how the job description is written. The wage figures in this page are calibrated from BLS national estimates for SOC 15-1243 adjusted to the Houston metro via published OEWS metro relativities and corroborated against current-market survey data from Salary.com, Built In, and Glassdoor. The convergence across sources gives reasonable confidence in the $122,000 median as a real number — Salary.com shows $122,585, Built In shows $120,000 median from recent submissions, Glassdoor shows $122,064. Treat a three-source convergence within 2% as a reliable signal.
Equity is excluded from BLS figures. The BLS captures W-2 wages, not option grants or unvested RSUs. For data engineers at public energy companies with modest RSU programs, this understates total comp by 7–12%. For pre-IPO energy-tech companies, the understatement could be larger or smaller depending on exit probability.
May 2024 data is approximately 15 months old by mid-2026. The Houston market in mid-2024 was still digesting the post-2022 tech slowdown, with energy-sector hiring holding steadier than pure tech. By early 2026, the data engineering market tightened again, particularly for ML infrastructure roles and specialized industrial IoT data engineering. The percentile figures here should be read as a floor for experienced candidates, not as a ceiling. Employers filling a role that has been open for 60+ days are frequently willing to pay above the median.
Cross-source calibration. Use BLS as the anchor, supplement with Salary.com or Levels.fyi for total-comp context, and use specific Houston job postings (which now increasingly include salary ranges under Texas Equal Pay standards) as ground-truth checks. When three independent sources agree within 10%, you have a defensible number to bring to a negotiation. When they diverge widely, probe for the reason — it is usually company tier or level differences, not noise in the data.