Data Engineer Salary in Boston — 2026 BLS Data
Salary distribution
Percentile breakdown of Data Engineer base salaries in Boston.
The BLS OEWS May 2024 survey puts the national median annual wage for Data Engineers (SOC 15-1243) at roughly $135,980. Boston-Cambridge-Newton tracks almost exactly with that national figure — a surprise to many candidates who assume the city commands a steep premium. It does not, at least not relative to the national number. The premium exists relative to secondary markets like Charlotte or Phoenix, but Boston is not New York or San Francisco. What Boston offers instead is a specific employer mix — biotech, life sciences, financial services, and a dense cluster of MIT-adjacent AI startups — that shapes the distribution in ways the median cannot capture. The P25-to-P90 spread here is nearly $105,000 wide, meaning the number on your offer letter depends far more on who is hiring you than on the fact that you are in Boston.
What the median hides
$136,000 is a fair shorthand for a mid-level data engineer at a mid-sized non-FAANG employer in the Boston metro. What it obscures:
The lower third of that distribution is pulled down by academic medical centers (Mass General Brigham, Dana-Farber, Beth Israel Deaconess) and smaller life-sciences startups that pay $95,000–$110,000 for data engineering roles that carry titles like “data infrastructure analyst” or “research data engineer.” These positions are real data engineering jobs — Spark, Airflow, dbt, clinical data pipelines — but they are anchored to nonprofit or early-stage budgets.
The upper quarter is pulled up by a handful of quantitative finance firms in the Seaport and Back Bay, by Wayfair and HubSpot’s engineering orgs, by the Kendall Square pharma giants (Biogen, Moderna, Vertex) running data mesh programs, and by AI/ML infrastructure teams at startups like Kensho, DataRobot, and Innovaccer. These employers benchmark against New York finance and West Coast tech, not against Boston’s average. A senior data engineer at a well-funded Kendall Square biotech or a quant shop can land $175,000–$210,000 base before any bonus or equity.
The median also misses the specialization premium. A data engineer who builds and maintains LLM training pipelines or clinical trial data warehouses is not competing in the same market as someone running ETL for a mid-market e-commerce brand. Specialty matters more here than in cities with a single dominant industry.
How Boston compares to other data engineering hubs
Boston is the fourth-largest data engineering market in the US by employer concentration, behind San Francisco/Bay Area, New York, and Seattle. The salary gap by city, based on BLS OEWS May 2024 and current market surveys:
- San Francisco Bay Area: $155,000–$175,000 median base, with senior roles at FAANG/hyperscalers reaching $220,000–$280,000.
- New York City: $141,000–$150,000 median base, driven up by Bloomberg, Two Sigma, and the finance-adjacent data infrastructure buildout on Wall Street.
- Seattle: $145,000–$158,000 median base, anchored by Amazon Web Services data teams, Microsoft Azure data engineering, and Tableau.
- Boston: $136,000 median base — roughly 10–15% below SF and NYC after adjusting for raw salary, but within 5% of NYC once cost of living enters the picture.
- Austin / Dallas: $115,000–$125,000 median base, though the COL gap partially closes the purchasing-power difference.
Boston’s position is stable. It is not ascending toward NYC parity nor declining toward Austin rates. The life sciences cluster provides a floor that keeps the market from softening significantly even when national tech hiring contracts, and the MIT/Harvard pipeline means employers consistently have access to strong candidates without the bidding wars that inflate Bay Area numbers.
What drives the spread: company tier, level, and specialty
Three factors explain why a P25 data engineer in Boston earns $103,000 and a P90 earns $208,000 — a 2x range inside one metro.
Company tier. The single biggest salary lever is who signs your paycheck. At the high end: quantitative investment firms (Acadian Asset Management, State Street Global Advisors’ data teams, Fidelity Investments’ AI/ML platform group) routinely pay $175,000–$210,000 base for senior data engineers and rarely appear on job boards. Kendall Square biotech majors — Vertex Pharmaceuticals, Biogen, Moderna — run dedicated data engineering orgs at $150,000–$185,000 for senior roles, with the scale of their clinical data needs driving consistent headcount. Wayfair and HubSpot, the largest local consumer/SaaS tech employers, pay $140,000–$175,000 for mid-to-senior levels. Academic medical centers and smaller digital health startups close the gap between $95,000 and $125,000.
Level. Entry-level / associate data engineers (0–2 years experience) earn $90,000–$112,000 at mainstream employers. Mid-level (3–5 years, working independently on complex pipelines) land $120,000–$148,000. Senior (5–8 years, owns architecture decisions, mentors others) reaches $155,000–$185,000. Staff and principal levels — rare outside the largest employers — push $190,000–$215,000 base. The BLS dataset collapses all of these into a single number. When a recruiter quotes you the “Boston market median,” they are quoting a blend of all four bands.
Specialty. Boston’s industry mix creates hard premiums for specific skills that are undersupplied locally:
- Clinical/regulatory data engineering (FDA 21 CFR Part 11 compliance, CDISC standards, clinical trial data pipelines): 12–18% premium over general data engineering at pharma and biotech employers.
- Real-time streaming infrastructure (Apache Kafka, Flink, Spark Structured Streaming): 10–15% premium, driven by demand from fintech, trading platforms, and digital health companies needing sub-second data delivery.
- ML platform and feature store engineering: 15–25% premium at AI-first startups and the larger pharma companies building predictive models for drug discovery.
- Data governance and lineage tooling (dbt, Great Expectations, Databricks Unity Catalog): growing fast post-2023 as pharma and finance face audit requirements; 8–12% premium and climbing.
If your skills align with any of these Boston-specific demand pockets, the relevant benchmark is P75 or above — not the median.
Total compensation: base, bonus, and equity
The $136,000 median base is a W-2 number. Boston data engineers at mature tech companies and large pharma employers typically receive:
Base salary: $136,000. This is what the BLS captures. Bands at most Boston employers are tighter than at FAANG — typically ±8% from the midpoint per level — and require VP sign-off to exceed. Expect the least negotiating room here.
Annual bonus: ~$15,000. Life sciences and financial services employers pay 8–15% of base as a cash bonus tied to company and individual performance. Biogen, Vertex, Fidelity, and State Street have reliable bonus programs; early-stage startups often skip or defer them. For a $136,000 base, budget $10,000–$20,000. This is where year-end timing matters — starting before the performance review cutoff can mean a partial or full bonus in year one.
Equity / RSUs: ~$20,000 annualized. Boston is not an equity-heavy market compared to San Francisco. Public company employers (Biogen, HubSpot, Wayfair) grant RSUs; at senior levels a four-year grant of $60,000–$100,000 is typical — roughly $15,000–$25,000 annualized. Quant finance firms often skip equity entirely and compensate with higher base and profit-sharing. Pre-IPO startups offer option grants, but the Kendall Square startup ecosystem has produced fewer large liquidity events per-capita than SF, so apply a discount to pre-IPO equity narrative.
All-in total compensation for a mid-level Boston data engineer at a mainstream employer: roughly $171,000. At a senior level in a high-paying sector (quant finance, large pharma, mature SaaS): $200,000–$240,000 including bonus and RSUs.
Cost-of-living adjusted reality
Boston’s COL index sits at approximately 148.0 on the C2ER scale where the US national average is 100. That means daily expenses — housing, groceries, utilities, transportation — run about 48% above the national average. The dominant driver is housing: a one-bedroom apartment in the Fenway / South End / Cambridge corridor averages $2,800–$3,400/month as of 2025, compared to a US metro median of around $1,400–$1,600.
COL-adjusted, a $136,000 Boston base salary has the purchasing power of approximately $91,900 at the national average. Compared to other cities:
- A $136,000 Boston base ≈ $114,300 in Austin (COL ~119 nationally).
- A $136,000 Boston base ≈ $95,900 in New York City (COL ~141, though NYC metro is higher).
- A $136,000 Boston base ≈ $76,100 in San Francisco (COL ~178.6).
The takeaway: Boston’s salary is almost identical to New York’s median on a nominal basis but substantially better on a purchasing-power basis, because NYC’s COL runs 5–7% higher. Against San Francisco, Boston looks appealing — a $136,000 Boston base buys meaningfully more than the same number in SF, and you are only 10–15% behind SF nominal. Many data engineers who relocate from Boston to SF discover their quality-of-life improves on the way out the door, not because SF salaries are higher, but because rent consumes the delta.
One caveat: the COL adjustment applies cleanly to base salary, but equity upside is geography-agnostic. If you are choosing between a $145,000 Boston offer and a $170,000 SF offer with $80,000 in annualized equity at a pre-IPO company, the COL math still favors the SF package in absolute wealth creation even after taxes — the Boston COL advantage does not override a large equity gap at a credible company.
Three-lever negotiation playbook
Boston employers are more structured and less improvisational about salary negotiation than Bay Area startups. Life sciences and financial services organizations run compensation programs against Radford/Aon benchmarks, which means the recruiter knows exactly where your offer falls in their band. That structure creates specific pressure points.
Lever 1: Establish your percentile before the number conversation. Before any number is exchanged, ask: “How do you benchmark compensation for this role — against national surveys, or against the Boston/Cambridge metro?” If they say Radford Global Technology Survey, that is good — it’s a rigorous dataset that will show your P75 ask is defensible. If they say “we look at what the market pays,” ask them to confirm the geographic scope. Anchoring to P75 ($168,000 base) for a senior role is a legitimate ask if you have 6+ years and a specialty skill — framing it as a percentile target, not a number you invented, makes the conversation more professional and harder to dismiss.
Lever 2: Maximize signing bonus before equity. Boston employers, particularly in life sciences and finance, have limited equity to offer and conservative RSU programs. Where they have flexibility is signing bonuses, which are a one-time cost that does not affect the compensation band. If you have a competing offer — or can credibly imply you might accept one — asking for $15,000–$25,000 in signing is realistic for a senior hire. The specific ask should be framed against a concrete competing offer or a vesting-cliff number: “I have unvested RSUs at my current employer that vest in March — can you cover that with a signing bonus to make this timing work?” That framing is nearly impossible to reject cleanly.
Lever 3: Negotiate title alongside salary. Boston biotech and pharma employers use graded title systems (Data Engineer I / II / III / Senior / Principal) that are tightly linked to salary bands. A candidate who negotiates a title upgrade from “Data Engineer III” to “Senior Data Engineer” unlocks the higher band automatically — the comp change follows the title change through HR’s system with less friction than pushing a number above the band ceiling. If you have 5+ years and your experience clearly maps to the senior level, make the title argument first. It is a more structurally sound ask than demanding the recruiter seek a band exception.
Data caveats worth knowing
BLS OEWS is the most methodologically rigorous public compensation dataset available — it covers mandatory reporting from hundreds of thousands of employers — but it has structural limits that matter for data engineers specifically.
Equity is entirely excluded. BLS captures wages paid on a W-2 basis. RSUs and options are not wages until they vest and are sold; vested equity that is reported as W-2 income gets counted, but grant-date value and unvested grants are invisible. For data engineers at public tech companies with meaningful RSU programs, BLS understates total comp by 10–25%. For pre-IPO employees, the direction of the error is unknowable.
The SOC 15-1243 bucket is broad. “Data Engineers” as a job title was formally added to the Standard Occupational Classification in 2018, but many employers still code these roles under 15-1242 (Database Administrators), 15-1299 (miscellaneous computer occupations), or even 15-1252 (Software Developers) depending on job function. The BLS national estimate of approximately 180,000 Data Engineers in the US undercounts the real total; some cross-tabulations from the May 2024 OEWS microdata suggest the actual headcount including miscoded roles is 20–35% higher. The wage data is directionally accurate but the population it represents is imprecisely defined.
May 2024 data is 15+ months old by the time you are reading this. Boston tech hiring was soft in mid-2024 following the 2022–2023 correction. By early 2026, the market had tightened again — particularly for ML infrastructure and clinical data engineering. The figures here are a floor, not a ceiling, for 2026 hiring.
Cross-source triangulation. BLS OEWS ($136,000 median Boston) aligns reasonably well with Salary.com ($137,180 average as of August 2025) and with the low end of Glassdoor’s reported range ($131,880 average). The convergence gives confidence that the $136,000 median is a real number, not an artifact of any single methodology. When a specific offer deviates meaningfully from this figure — more than 15% below without a clear reason — that is a signal worth probing before accepting.