How does company size affect Data Pipeline Engineer (ML) pay in St. Louis?

Large enterprises in St. Louis pay Data Pipeline Engineer (ML)s 10 to 20% more in base, but startups compensate with equity. The range of $108,000 to $187,000 spans both.

How do I negotiate a Data Pipeline Engineer (ML) salary in St. Louis?

Data Pipeline Engineer (ML)s in St. Louis earn $108,000 to $187,000. Anchor your ask near the 75th percentile to land at the median.

What is the entry level Data Pipeline Engineer (ML) salary in St. Louis?

Entry level Data Pipeline Engineer (ML) positions in St. Louis start near $108,000. Candidates with strong backgrounds negotiate toward $142,000.

Data Pipeline Engineer (ML).

St. Louis.

$142,000

median salary, 10% below the national average

$108,000 to $187,000. Updated for 2026.

Get your playbook

The numbers.

Everything you need to negotiate with confidence.

Here is what Data Pipeline Engineer (ML)s actually make in St. Louis: $108,000 at the 25th percentile, $142,000 at the median, and $187,000 at the 75th. That is 10% below the national average. St. The number on your offer letter will depend on what you bring and how you ask.

Salary range

25th Percentile

$108,000

per year

Median

$142,000

per year

75th Percentile

$187,000

per year

Tap to place your salary

$108,000$187,000

How St. Louis compares

St. Louis, MO

$142,000

Cost of living: 10% below average

National Average

$158,000

St. Louis is $16,000 below

What you should know

Before you negotiate a Data Pipeline Engineer (ML) offer in St. Louis, understand the terrain. St. Louis offers one of the most affordable major metro areas in the country, with a strong base in healthcare, financial services, and manufacturing. The region's anchor employers include Boeing, Centene, and Washington University's medical campus. A growing biotech and plant sciences corridor centered on the Cortex Innovation District is attracting new investment and talent. ML data pipeline engineers earn salaries based on the scale and complexity of data systems they build and maintain. Engineers handling petabyte-scale training data pipelines for large model training earn 15 to 25% more than those working with smaller datasets. Experience with both batch and streaming architectures is a consistent salary booster across employers.

Junior ML pipeline engineers start at $120,000 to $142,000. Mid-level engineers managing production ML data flows earn $158,000 to $208,000. Senior engineers and infrastructure leads reach $215,000 to $280,000, while staff engineers designing organization-wide ML data platforms can command $290,000 to $370,000. In St. Louis, cost of living sits near the national average, so the numbers you see are roughly what you keep.

Base salary is not the full picture. Tech companies offer equity grants of 15 to 25% of base salary with standard four-year vesting schedules. Annual performance bonuses range from 10 to 18%. On-call compensation for production pipeline maintenance adds $8,000 to $18,000 annually at some organizations. And on the tax side: missouri's top income tax rate is about 4.8%, and St. Louis City adds a 1% earnings tax. The low base cost of living means your after tax salary still stretches further than in most metros. When someone quotes you $142,000, ask what the total package looks like. The gap between base and total comp is where real money hides.

On negotiation: Emphasize your willingness to work in person at Cortex or the BJC campus. St. Louis employers offer higher packages for candidates who commit to the local innovation hubs. The range for Data Pipeline Engineer (ML)s in St. Louis runs from $108,000 to $187,000. That is not a narrow window. Where you land inside it depends almost entirely on whether you negotiate and how well you prepare.

Top industries in St. Louis

HealthcareDefense & AerospaceFinancial ServicesPlant Sciences & BiotechManufacturing

Negotiating in St. Louis

Emphasize your willingness to work in person at Cortex or the BJC campus. St. Louis employers offer higher packages for candidates who commit to the local innovation hubs.

Common questions.

ML pipeline engineers earn 10 to 18% more than general data engineers at equivalent levels. The premium reflects specialized knowledge of training data requirements, feature engineering, model artifact management, and the unique challenges of serving ML workloads at production scale.

Experience with GCP (Vertex AI, Dataflow) and AWS (SageMaker, Glue) commands the highest premiums, typically 8 to 12% above engineers with only open-source tool experience. Multi-cloud expertise is increasingly valued as enterprises avoid vendor lock-in for their ML infrastructure.

In St. Louis, large enterprises typically pay Data Pipeline Engineer (ML)s 10 to 20% more in base salary than small companies, but startups often compensate with equity that can exceed base salary value. Tech companies offer equity grants of 15 to 25% of base salary with standard four-year vesting schedules. The $108,000 to $187,000 range reflects this entire spectrum.

Lead with data: Data Pipeline Engineer (ML)s in St. Louis earn $108,000 to $187,000, so anchoring your ask near $187,000 gives room to land at the median. Emphasize your willingness to work in person at Cortex or the BJC campus. St. Louis employers offer higher packages for candidates who commit to the local innovation hubs. Never accept the first number without a conversation.

Entry level Data Pipeline Engineer (ML) positions in St. Louis typically start near $108,000. Candidates with relevant internships, certifications, or portfolio work often negotiate closer to the median of $142,000. Junior ML pipeline engineers start at $120,000 to $142,000.

Missouri's top income tax rate is about 4.8%, and St. Louis City adds a 1% earnings tax. The low base cost of living means your after tax salary still stretches further than in most metros. When comparing offers across states, your take home pay matters more than the number on the offer letter. A lower salary in a no income tax state can net more than a higher one elsewhere.