What Data Consultants Charge: Hourly Rates by Role and Firm

Experience moves the rate more than the job title. Categories that require 10 or more years of experience carry medians 12% to 47% above the median for the role as a whole, and vendors that GSA classes as other than small businesses have higher medians than small businesses for seven of the eight roles.

Hourly ceiling rates in US dollars from GSA CALC+, accessed October 23, 2026. The 12% to 47% range compares the two left-hand columns: $177 ÷ $158 for data architects is 1.12, and $171 ÷ $116 for data analysts is 1.47.

The biggest size gap is in machine learning and AI: other-than-small vendors list a median of $229, 33% above the small-business median of $172 ($229 ÷ $172 = 1.33). Data governance is the exception, where small businesses list slightly more. For role-by-role detail see our guides to data engineering consulting rates and AI consulting pricing.

• They are maximums. GSA describes the rates as the maximum a vendor may charge for a labor category and notes that discounts at task order award often occur (GSA). Federal buyers may ask for a price reduction before any order and must seek one on larger orders (FAR 8.405-4).
• They are benchmarked to commercial prices. When negotiating a schedule, GSA "will seek to obtain the offeror's best price (the best price given to the most favored customer)" (GSAM 538.270-1). Most commercial buyers are not a vendor's most favored customer, which is why commercial quotes for the same role are often higher than the federal ceiling. No public dataset measures the size of that gap, so we do not estimate it.
• They are fully burdened. Federal rules describe time-and-materials hourly rates as fixed rates that include wages, overhead, general and administrative expenses and profit (FAR 16.601). A ceiling rate is not a salary.
• Categories are vendor-defined. One firm's "Data Engineer 3" is not another's. Compare the experience and education each category requires, which CALC+ includes in its records.
• They leave out most of the market. Offshore delivery centers, fixed-fee and outcome-based pricing, travel, software and platform consumption are not in the data. For platform costs, see what a Snowflake implementation costs and our data platform TCO analysis.
• They do not measure quality. A ceiling rate is a negotiated price, so a high one tells you about cost and bargaining, not about delivery quality.

GSA figures are federal ceilings for the contract-holding entity. Clutch bands are the broad hourly ranges shown on each firm's Clutch profile, not role-specific rates. Accelerance is an outsourcing broker reporting what its partner firms charge for software developers in general, not data roles specifically; it reports that rates fell in all three regions during 2025.

DCF Research estimate for budgeting. Assume US-based senior data engineers and data scientists at or above the GSA medians ($149 and $169), large firms at or above their own federal ceilings, and nearshore senior engineers at $50 to $100 an hour. Basis: GSA prices are benchmarked to a vendor's best commercial price, so expect commercial quotes at or above them; the nearshore range spans Accelerance's senior ranges for Latin America and Europe ($60–$76) and the $50–$99 Clutch bands above. Ask every bidder where each person on the team will be based.

The examples below use GSA median ceiling rates from the table above as stand-ins for real quotes. They are illustrations, not benchmarks from completed projects; replace the rates with the ones you are quoted.

Example 1: data platform build, 12 weeks. A half-time data architect, two full-time data engineers and a full-time BI developer.

At the 75th-percentile rates ($188, $183 and $151) the same plan costs $45,120 + $175,680 + $72,480 = $293,280. Replacing the two US engineers with nearshore engineers at $70 an hour (inside Accelerance's senior range for Latin America) brings it to $37,920 + $67,200 + $61,440 = $166,560, before any extra coordination time.

Example 2: AI proof of concept, 8 weeks. A full-time machine learning engineer, a half-time data engineer and a cloud architect for 5 hours a week: 320 h × $187 = $59,840, plus 160 h × $149 = $23,840, plus 40 h × $185 = $7,400, for $91,080. With a 20% reserve, a planning assumption rather than a benchmark, budget $91,080 × 1.2 = $109,296.

Example 3: fractional data architect on retainer. Eight hours a week for a year: 8 × 52 = 416 h × $158 = $65,728, or about $5,477 a month.

Platform consumption (Snowflake credits, Databricks compute, cloud storage) and licenses come on top of consulting fees; see Snowflake implementation cost. To compare bids on a like-for-like basis, send every firm the same scope with our RFP template.

A common sequence is a fixed-fee discovery phase that produces a specification and estimate, then a fixed-fee or capped time-and-materials build, then a retainer for support. Paying for discovery separately also gives you a specification you can take to another firm.

1. Ask for a rate card by role, seniority and location, and compute the blended rate yourself. One US architect at $158 and three nearshore engineers at $70 blend to ($158 + 3 × $70) ÷ 4 = $92 an hour.
2. Compare total hours, not rates. A cheaper team that needs more hours or rework is not cheaper. Olivier Poulard of Accelerance, an outsourcing broker, says: "Hourly rates are a poor measure of the true cost of software development."
3. Fix the price after discovery, not before. Vendors bidding on vague scope build the risk into a fixed fee.
4. Cap time and materials. A not-to-exceed ceiling, as in federal time-and-materials contracts, makes the vendor carry overruns beyond it (FAR 16.601).
5. Trade commitment for rate locks. Offer volume or a longer term in exchange for fixed rates and capped annual increases.
6. Use public ceilings as an anchor. If a firm holds a GSA schedule, its ceiling for a comparable category is public in CALC+; ask why a commercial quote is higher.
7. Separate pass-through costs. Bill travel, software and platform consumption at cost on separate lines, and buy platform capacity directly where you can.
8. Tie payments to acceptance. Hold back part of each milestone payment until the deliverable passes the criteria in the contract.