growthroles

AWS Data & Solution Engineer

Fa Ewjt Saasfaprod1 Open · verified Oct 22, 2026
Hybrid United States Full-time Mid-level Solutions & Sales Engineering

At a glance

Mid-level Solutions & Sales Engineering role at Fa Ewjt Saasfaprod1. United States · full-time · no salary stated · we estimate $101,000–$170,000 across the United States.

Estimated pay

Fa Ewjt Saasfaprod1 has not published a salary for this role. The figure below is our estimate, not theirs.

$101,000 – $170,000
What the middle half of mid-level solutions & sales engineering roles in the United States paid, among postings that did state a salary.
Worked out from 996 postings that stated pay, median $130,000. Last updated Oct 22, 2026.
RoleSolutions & Sales Engineering
SeniorityMid-level
LocationUnited States
WorkplaceHybrid
EmploymentFull-time
PostedOct 13, 2026 · 9d ago
Role brief

growthroles summary, based on the employer's posting.

What you'll do

  • Build an AWS enterprise data lake and create pipelines using AWS integration, engineering and analytics resources
  • Develop API services with FastAPI or Flask to support data solutions
  • Set data engineering direction across projects and improve practices and optimization
  • Present the team's work in executive meetings and shape longer-term data plans

What you bring

  • You have four to six years of experience in data engineering or a related field
  • You hold a degree in computer science, data science or another related field
  • You bring strong Python and PySpark development skills

Who this fits

This role suits a mid-level data engineer ready to lead technical direction across projects and present in executive meetings. It is listed as hybrid in the United States.

From the employer

We are looking for an Sr AWS Data & Solutions Engineer with primary skills on Python & PySpark development who will be able to design and build solutions for one of our Fortune 500 Client programs, which aims towards building an Enterprise Data Lake on AWS Cloud platform, build Data pipelines by developing several AWS Data Integration, Engineering & Analytics resources. You will be responsible for building API services using FastAPI or Flask frameworks.

Lead data engineering strategy across projects. Drive innovation in practices and optimization. Represent team in executive meetings. Develop long-term data plans.

Graduate in Computer Science, Data Science, or related field. 4-6 years of experience in data engineering or related field.

Not this one either?

Claude or ChatGPT reads the other 93,771 for you.

Get better matches →

Same team as Marketing Monk

What's happening in AI marketing. Daily.

Biggest story, quick hits, a prompt, one action.

7 minutes. 71,000 readers. Unsubscribe anytime.