Data Engineer Salary in Philadelphia — 2026 BLS Data

$128K median base salary · Philadelphia
BLS OEWS · 2024 data

Salary distribution

Percentile breakdown of Data Engineer base salaries in Philadelphia.

The BLS OEWS May 2024 survey places the national median annual wage for Data Engineers (SOC 15-1243/15-1245) at approximately $135,980. Philadelphia-Camden-Wilmington tracks about 6% below that national midpoint, with a median base of $128,000 — a number that surprises candidates who expect a major East Coast metro to benchmark higher. What keeps Philadelphia from closing the gap with New York and Boston is not a shortage of data work; it is the industry mix. Healthcare systems, financial services mutuals, cable and media conglomerates, and pharmaceutical giants dominate Philadelphia’s tech hiring, and most of those employers run structured compensation programs that are deliberately conservative compared to FAANG or West Coast SaaS. The upside is that the same employer mix creates unusually durable demand — healthcare and pharma budgets for data infrastructure rarely vanish in a hiring downturn the way growth-startup headcount does.

The P25-to-P90 spread here runs nearly $49,000 wide, from $115,000 to $164,000. That spread tells you that the “Philadelphia data engineer salary” question has no single answer — it has at least four, depending on which employer category and seniority band applies to you.

What the median hides

$128,000 is a reasonable shorthand for a mid-level data engineer at a mid-sized healthcare system, a regional insurance carrier, or a non-profit university data team. What it obscures are the clusters at each extreme.

The lower third of the distribution is anchored by academic medical centers and regional nonprofits — Penn Medicine, Jefferson Health, Temple University Health System, and the constellation of community hospitals and research institutions that make Greater Philadelphia one of the largest healthcare employment regions in the country. These organizations hire real data engineers running HL7 FHIR pipelines, Epic data warehouses, and clinical analytics platforms, but they benchmark salaries against healthcare industry surveys rather than tech surveys. A data engineer at a regional health system in suburban Philadelphia can expect $105,000–$120,000. They are not underpaid by healthcare standards; they are simply operating in a different labor market than a peer at a fintech firm downtown.

The upper quarter is driven by a short list of employers who benchmark against national tech pay rather than Philadelphia’s local average. Comcast Technology Solutions — the largest private employer of tech workers in the metro — pays a telecom-sector median total comp of approximately $141,000 for data engineering roles, with senior staff reaching $160,000–$185,000 base. Vanguard, headquartered in nearby Malvern, has a disclosed average of roughly $145,000 for data engineers and competes aggressively for candidates who understand financial data pipelines and regulatory compliance. GlaxoSmithKline and its US pharma neighbors in King of Prussia and North Wales run data engineering organizations with salaries of $145,000–$175,000 for senior roles tied to clinical trial data, drug discovery pipelines, and regulatory submissions. Those roles exist near the top of the Philadelphia distribution and rarely appear on standard job boards.

The median also misses the specialty premium. A data engineer running general ETL for a mid-sized insurer sits at $120,000–$132,000. A data engineer building and maintaining FDA-regulated clinical data pipelines or real-time fraud detection infrastructure for a payments company commands a measurably different number — often P75 or higher regardless of years of experience.

How Philadelphia compares to other data engineering hubs

Philadelphia occupies a middle tier among major Eastern seaboard data engineering markets. Based on BLS OEWS May 2024 and current market surveys across aggregators:

  • New York City: $141,000–$150,000 median base. Finance, media, and FAANG engineering orgs set the ceiling. Roughly 13–15% higher than Philadelphia on a nominal basis.
  • Washington, DC metro: $140,000–$148,000 median base. Federal contractors, defense tech, and a growing SaaS cluster push DC nominally above Philadelphia by a similar margin.
  • Boston: $134,000–$138,000 median base. Life sciences and quant finance anchor the top; the difference from Philadelphia is smaller than most candidates expect — roughly 5–7%.
  • Philadelphia: $128,000 median base. Conservative by East Coast standards on a nominal basis, but the COL story significantly changes the picture (more on that below).
  • Dallas / Atlanta: $115,000–$123,000 median base. Philadelphia’s nominal advantage is real, and the COL difference between Philadelphia and these Sun Belt metros is modest.

Philadelphia’s position is structurally stable. It is not converging toward NYC or Boston rates — the employer base is too different — but it is also not declining. Healthcare is recession-resistant and digitizing at pace; financial services data infrastructure spending held through 2023–2024 when other sectors cut; pharma R&D budgets are driven by regulatory timelines, not quarterly earnings pressure. The floor here is solid even in a soft market.

What drives the spread: company tier, level, and specialty

Three variables explain the near-$50,000 gap between a P25 data engineer earning $115,000 and a P90 earning $164,000 inside the same metro.

Company tier. The employer determines 40–50% of your salary outcome in Philadelphia more than in markets with diverse tech employers, because the city’s data engineering demand is heavily concentrated in a few large-enterprise sectors rather than distributed across hundreds of startups.

  • Top tier ($150,000–$185,000 base, senior levels): Vanguard, Comcast Technology Solutions, GSK, Johnson & Johnson (New Brunswick, NJ, but Philadelphia metro draw), IQVIA, and large pharma CROs. These employers run formal compensation benchmarking, compete nationally for senior talent, and offer the most structured total-comp packages.
  • Mid tier ($125,000–$150,000 base): Regional banks and insurance companies (Citizens Bank, Lincoln Financial, Nationwide), mid-cap pharma service companies, mid-sized SaaS firms, and the Penn/Drexel affiliated data science programs that produce consulting-style engagements.
  • Lower tier ($100,000–$125,000 base): Academic medical centers, community hospitals, regional nonprofits, early-stage startups, and city/state government analytics teams. The work is often technically sophisticated; the pay is not.

Level. Entry-level data engineers (0–2 years, working under direction on defined pipelines) earn $95,000–$115,000 at mainstream Philadelphia employers. Mid-level (3–5 years, independently owns pipeline design and deployment) lands $120,000–$140,000. Senior engineers (5–8 years, architects solutions, leads cross-functional data projects) reach $145,000–$170,000. Staff and principal levels are rare outside the top-tier employers and push $180,000–$200,000 base. The BLS OEWS collapse all of these into one median — when a recruiter cites “the Philadelphia market,” they are describing a mix of all four bands simultaneously.

Specialty. Philadelphia’s industry concentration creates demand pockets where specific skills are chronically undersupplied:

  • Clinical and regulatory data engineering (CDISC standards, SDTM/ADaM datasets, FDA 21 CFR Part 11 validation, clinical trial data management): 15–20% premium at pharma and CRO employers. GSK, Johnson & Johnson, IQVIA, and the University of Pennsylvania’s clinical research infrastructure all compete for this profile. The candidate pool is small because the overlap of data engineering skills with clinical domain knowledge is genuinely rare.
  • Streaming and real-time infrastructure (Apache Kafka, Flink, Spark Structured Streaming, event-driven architectures): 10–15% premium, driven by Comcast’s real-time analytics operations, payments companies in the Delaware Valley corridor, and health systems building early-warning clinical decision tools.
  • Financial data pipelines and regulatory compliance (SOX-compliant data lineage, SEC reporting infrastructure, IBOR/ABOR data management for asset managers): Vanguard, Fidelity’s Philadelphia-area offices, and the regional bank tech teams all pay a 10–15% premium for engineers who understand both the data infrastructure and the regulatory context.
  • dbt + data mesh architectures: Demand accelerated after 2023 as large Philadelphia employers began breaking apart monolithic data warehouses. Engineers who have implemented dbt at scale — not just used it — command a growing premium that was not visible in pre-2023 salary surveys.

Total compensation: base, bonus, and equity

The $128,000 median base is what BLS captures — straight W-2 wages. For most Philadelphia data engineers at large established employers, additional components are real but modestly sized compared to Bay Area or NYC tech.

Base salary: $128,000. Philadelphia employers — especially healthcare systems, financial services firms, and pharma — run tightly banded compensation programs anchored to Radford or Willis Towers Watson survey data. Expect narrower negotiating room on base than you would find at a startup or a West Coast tech company. The upside is predictability and consistent annual increases.

Annual cash bonus: ~$9,000. Large Philadelphia employers in pharma and financial services typically offer 6–12% of base in annual performance bonus. Vanguard’s bonus program is well-established; Comcast and the major pharma firms offer similar structures. For a $128,000 base, budget $8,000–$15,000 in annual cash bonus depending on employer type and individual performance. Healthcare systems and nonprofits often have smaller or less reliable bonus programs.

Equity / RSUs: ~$12,000 annualized. Philadelphia is not an equity-heavy market. Public-company employers (Comcast, Vanguard’s parent structure is mutual fund so no equity, GSK’s US grants for US employees) provide RSU grants that annualize to $8,000–$20,000 for mid-level and $20,000–$40,000 for senior engineers over a typical four-year vest. Startup equity exists — Philadelphia’s startup scene (healthcare IT, fintech, logistics tech) has produced a handful of meaningful exits — but the per-capita equity upside is substantially lower than Boston or San Francisco. Pre-IPO grants should be heavily discounted relative to how a Bay Area recruiter would present them.

All-in total compensation for a mid-level Philadelphia data engineer at a mainstream employer runs approximately $149,000. At a senior level in a top-tier sector: $185,000–$220,000 including bonus and RSUs is achievable, though not typical.

Cost-of-living adjusted reality

Philadelphia’s COL index sits at approximately 104.3 on the C2ER/Sperling scale where 100 represents the US national average. That means the city runs only about 4% above the national average in total living costs — a mild premium driven primarily by housing and groceries, offset by below-average transportation costs (SEPTA transit coverage, lower car insurance than NYC or Chicago) and utilities that track near the national mean.

That 104.3 figure makes Philadelphia one of the most favorable large-metro markets in the country for purchasing-power efficiency. A $128,000 Philadelphia base salary has the real purchasing power of approximately $122,600 at the national average — effectively no discount. Compare that to other data engineering hubs:

  • A $128,000 Philadelphia base vs. $141,000 NYC base: At NYC’s COL index of roughly 141, the New York salary has the purchasing power of about $99,900 nationally. Philadelphia’s $128,000 base buys more than the nominal NYC premium suggests.
  • A $128,000 Philadelphia base vs. $136,000 Boston base: Boston’s COL sits around 148. The Boston salary has purchasing power of roughly $91,900 nationally. The Philadelphia engineer is in better shape despite the lower nominal number.
  • A $128,000 Philadelphia base vs. $155,000 San Francisco base: SF’s COL index is approximately 178+. The SF salary equates to about $87,000 nationally in purchasing power. Philadelphia clears it by a significant margin.

The one scenario where the COL advantage fades: equity-heavy offers at pre-IPO or recently public companies in high-COL cities. If the SF or Seattle offer includes $60,000–$80,000 in annualized equity at a credible company, the purchasing-power math tips back toward the high-COL city even after the housing premium. Philadelphia’s COL efficiency advantage is decisive when comparing base-plus-bonus-heavy employers (which most Philadelphia companies are), but does not overcome a large equity gap at a company with realistic upside.

Housing specifically: a one-bedroom in Center City or Fishtown runs $1,700–$2,400/month as of 2025. The same profile renter pays $3,200–$4,500 in Boston, $3,400–$5,000 in NYC, and $3,000–$4,500 in San Francisco. For data engineers early in their career focused on savings rate and financial flexibility, Philadelphia’s housing cost structure is a material advantage, not a consolation prize.

Three-lever negotiation playbook

Philadelphia’s largest employers — pharma, financial services, healthcare, telecom — run formal compensation programs against external benchmarks. That structure limits improvisational negotiation but creates specific, repeatable pressure points.

Lever 1: Anchor to the P75, not the median. Before any number is exchanged, establish that you are benchmarking against P75, not median. Philadelphia’s P75 for data engineers is approximately $142,000. If you have 5+ years of experience, a specialty skill (clinical data, streaming infrastructure, financial data compliance), and a portfolio of delivered pipelines at scale, you are a P75 candidate — not a median candidate. The specific ask: “Based on my experience with [specific specialty], I’m targeting the P75 range for this role in this market — around $142,000–$150,000. Can you confirm whether your band accommodates that?” This framing uses a public data point (BLS percentile) rather than a number you invented, which makes it harder for a structured HR program to dismiss.

Lever 2: Use competing sector data to compress the range. Philadelphia’s multi-sector employer landscape is a negotiating asset. If you are interviewing at a healthcare system and have an offer (or a plausible alternative) from a Comcast or Vanguard-level employer, the data supports a higher ask: “I know from market data that Comcast and Vanguard data engineering roles in this metro benchmark 10–15% above healthcare system salaries for equivalent experience. I’m open to the tradeoffs of your environment, but I’d need compensation closer to $138,000–$145,000 to close the gap.” This works because it is documented — the sector spread in Philadelphia is real and both parties know it.

Lever 3: Negotiate the signing bonus against a vesting cliff. Philadelphia employers — especially in pharma and financial services — have relatively firm salary bands but flexible one-time signing budgets. The most effective frame: tie the signing bonus request to a concrete dollar amount at your current employer. “I have a performance bonus payout in February totaling approximately $14,000 that I would forfeit by joining before that date. Would you be able to cover that with a signing bonus?” This is not a bluff or a negotiating trick — it is a real cost of changing jobs that the employer can easily quantify and address. The ask is harder to decline than an abstract “I’d like more money” request. For senior hires, $10,000–$20,000 signing bonuses are within normal range at Philadelphia’s top-tier employers. For mid-level hires, $5,000–$12,000 is realistic when framed as a concrete offset.

A fourth consideration unique to Philadelphia: remote-work negotiation. Because many Philadelphia employers pay 10–15% below NYC rates and offer hybrid schedules, some engineers negotiate one or two additional remote days per week rather than higher base — particularly when base is band-locked. An extra remote day per week reduces commuting costs and time meaningfully, and at a 4% COL city, it can be more valuable than a $5,000 base increase. Do not overlook this lever in final-round conversations.

Data caveats worth knowing

The BLS OEWS is the most rigorous public compensation dataset available, grounded in mandatory wage reporting from hundreds of thousands of employers, but several structural limits matter specifically for Philadelphia data engineers.

Equity is excluded entirely. BLS captures wages paid on a W-2 basis. RSU grants and option awards are not wages until vested and sold; even vested RSUs reported as W-2 compensation can miss BLS collection windows. For Philadelphia data engineers at companies with meaningful RSU programs, BLS understates total comp by 8–20%. For pre-IPO startup employees, the error is directionally unknowable.

SOC code fragmentation. “Data Engineer” as a job title was formally designated SOC 15-1243/15-1245 in 2018, but many Philadelphia employers — especially legacy healthcare systems and financial services firms using older HRIS classifications — still code these roles under 15-1242 (Database Administrators), 15-1299 (Computer Occupations, All Other), or even 15-1252 (Software Developers). The BLS wage estimates for data engineers capture a real but imprecisely defined population. Roles requiring Spark, Airflow, dbt, and cloud data warehouse expertise that are coded as “database administrator” by an older HR system get pulled out of the data engineer bucket. This likely skews the BLS median slightly downward relative to true market rates for current data engineering skills.

Geographic scope is the Philadelphia-Camden-Wilmington MSA. The BLS metro boundary includes not just Philadelphia city but also Camden and Cherry Hill in South Jersey, Wilmington (Delaware, a financial services hub), and suburban Pennsylvania counties including Montgomery, Bucks, Chester, and Delaware. Employers in King of Prussia and Malvern (Vanguard) are inside this boundary; so are the Wilmington-based credit card infrastructure teams. The suburban distribution matters because commuting patterns increasingly allow Philadelphia-area engineers to access this full employer set regardless of where they live within the MSA.

May 2024 data is 15+ months old. Philadelphia’s tech market was cautious through mid-2024 as post-pandemic hiring corrections played out across healthcare IT and fintech. By early 2026, hiring had tightened in clinical data engineering and ML infrastructure in particular. The figures here represent a conservative floor — current offers for in-demand specialties are trending toward the high end of the ranges cited.

Cross-source triangulation. BLS OEWS (~$128,000 median Philadelphia) aligns with Salary.com ($128,369 median, June 2026), Indeed’s reported average of $128,559 for Philadelphia, and ZipRecruiter’s Philadelphia figure of approximately $130,895. The convergence across methodologically independent sources gives confidence that the $128,000 figure is real. When a specific offer deviates more than 15% below this without a clear justification — employer type, industry, or level — that is a data point worth probing before accepting.