> AI agents: this is one page of Nextmove’s FDE site, in Markdown. Nextmove is a job board and free career service for forward deployed engineers (FDEs). Each posting is classified from its text, not its title: the kind of work, how much of it is production code, pre-sales weight, time at customer sites, travel, remote arrangement, level and posted base pay. The site also publishes the aggregates: median pay by level, metro, company and kind of work, and which companies started hiring FDEs each week. Every page under https://nextmove.md/fde is served this way; the index of pages is https://nextmove.md/llms.txt.

# Senior Data Engineer - Paradox Machines

Canonical URL: https://nextmove.md/fde/jobs/49c733f27d9f54ad

Infinity Constellation posts a senior FDE role to build what the customer runs in US, at $140,000–$170,000 base, below the senior FDE median of $190,000 across 1,849 postings with pay. Senior data engineer responsible for architecting and delivering end-to-end data platforms, scalable pipelines, semantic layers, and AI-ready data systems. Read from the employer’s posting on November 6, 2026.

- [Infinity Constellation](https://nextmove.md/fde/companies/infinity-constellation)

Posted Sep 17, 2026 by Infinity Constellation · open on Ashby as of Nov 6, 2026

**$140,000–$170,000** US Remote Full-time

Senior data engineer responsible for architecting and delivering end-to-end data platforms, scalable pipelines, semantic layers, and AI-ready data systems.

- [See roles that fit me](https://nextmove.md/sign-up?from=%2Ffde%2Fjobs%2F49c733f27d9f54ad&placement=top)
- [View posting at Infinity Constellation](https://jobs.ashbyhq.com/infinity-constellation/8dd8dc6b-a82d-4802-87b0-206bcfb2bf87/application)

Free. Upload your resume once, see why each FDE role fits, and get introduced only when you say so.

## At a glance

### Posted base pay

$140K–$170K Below the median

Midpoint $155K · median $190K

This job $140K to $170K. Senior FDE postings, 1,849 postings: the middle 50% of posted pay is $160K to $220K, median $190K.

### The work

Builds what the customer runs

Balance **Mostly building**

Project stages

1. Pre-sales (not covered)
2. Proof of concept
3. Implementation
4. Operations (not covered)

- **Coding**: Writes production code

- **Builds for**: External customers

- **Level**: Senior

- **Role**: Technical lead

### Do you meet what the posting states?

The posting reads as a senior role. What level are you at now?

The work is remote from the US. Can you work from the US?

Which of these have you used in production?

Answer each one. Nothing is saved or sent.

[What postings ask for, by background →](https://nextmove.md/fde/paths)

## Conditions

- **Location**: US

- **Work arrangement**: Remote

- **Remote work restrictions**: United States

- **Employment type**: Full-time

- **Pay**:

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## The job description from Infinity Constellation

Posted by Infinity Constellation on Sep 17, 2026

### The Opportunity

This is a senior engineering role at a data and AI company - which means you'll be close to the product, close to customers, and building systems that are used from day one.

You'll design and ship the data infrastructure at the core of what we sell: modern data platforms, scalable pipelines, and the reporting and AI layers our clients run their businesses on. Increasingly, the consumers of our platforms aren't just dashboards and analysts - they're apps, agents, and people who expect to ask questions in natural language and get correct answers. Building data systems that serve that expectation well is a core part of this job.

This role is client facing - you'll be leading customer projects, implementing solutions, and act as their trusted partner. You'll work directly with the CEO and alongside a growing, senior team. The problems are real, the feedback loop is short, and the surface area is large. Expect to move fast and own a lot.

### What You'll Build

**Modern data platforms** You'll architect and implement data platforms end-to-end. You have deep familiarity with modern data architecture - warehouse vs. data lake, table formats, ELT patterns, semantic layers, orchestration - and you've implemented Snowflake, BigQuery, or Databricks in production. You know when to use what, and why. Our customers will look to you for recommendations - you should have an equally strong understanding of both first principles data engineering and modern tooling.

**Data models built for new consumption patterns **You're opinionated about data modeling. You've worked with star schema, Data Vault, OBT, etc. and you can argue for the right approach given the business context. You design models for business, analytics and AI consumption.

**Streaming and real-time systems** You've implemented streaming pipelines in production, and are familiar with popular technologies such as Kafka, Flink, Redpanda, or similar. You understand the operational realities of streaming: schema evolution, backpressure, exactly-once semantics, and when batch is the right answer. You understand that with agentic consumption, the need for “near real time” data is more prevalent than ever.

**Client-facing delivery** You'll work directly with client teams - scoping requirements, presenting architecture decisions, and walking stakeholders through tradeoffs. You communicate clearly with both engineers and business leaders, and you're oriented toward results, not just technically elegant solutions.

### What You Bring

- Clear communication. This role is client facing - you'll present to business stakeholders, explain tradeoffs in plain language, and build trust through delivery. **This is the most important part of the job.**
- Significant experience building production data systems, with senior-level ownership of architecture decisions.
- Deep understanding of modern data architecture and platforms - you've implemented Snowflake, BigQuery, or Databricks, not just used them.
- Hands-on knowledge of building scalable and secure data pipelines: orchestration, transformation frameworks (dbt or similar), cloud infrastructure (AWS or GCP).
- Strong opinions on data modeling best practices - Kimball, star schema, Data Vault - and the judgment to pick the right one for the problem.
- An understanding of how AI changes data platform design: semantic layers, metadata, and governance built so LLMs and agents can consume data reliably. Direct experience here is a plus; genuine interest is required.
- Experience implementing streaming pipelines with Kafka, Flink, Redpanda, or similar.
- A business orientation and focus on results: you understand that the pipeline exists to answer a business question, and you make tradeoffs accordingly.
- A bias for doing: you'll write the query, sketch the schema, or spin up the prototype if that's what moves things forward.

### Why This Role

You'll be a senior engineer at a venture-backed company working on one of the most consequential problems in business right now: making company data actually usable - by people, applications and agents.

Most engineers spend years building inside someone else's platform. Here, you'll help define what the platform is - and your scope and impact will grow as the company does.

### What’s In It for You

Paradox is committed to fair and competitive pay, ensuring that compensation reflects both market conditions and the value each team member brings. Our salary structure accounts for regional differences in cost of living while maintaining internal equity.

For this position, the annual salary ranges by location are:

### Salary Range

$140,000 - $170,000 USD

Offers also include bonus

### Health and Wellness

- Medical, dental, and vision coverage
- Unlimited PTO
- 401(k) Plan

During the interview process, your Talent Acquisition Partner will confirm compensation tier applicable to your location. For candidates outside the U.S., compensation is aligned with local market conditions and cost of living.

Total compensation is determined by factors such as location, relevant experience, skills, internal pay equity, and market conditions. While every offer is unique, our compensation philosophy is designed to ensure fairness, consistency, and competitiveness across Paradox Machines *.* Additional details on total compensation and benefits will be discussed during the hiring process.

*Equal Opportunity Statement: We’re an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, or veteran status, or any other basis protected by law.*

[View posting at Infinity Constellation](https://jobs.ashbyhq.com/infinity-constellation/8dd8dc6b-a82d-4802-87b0-206bcfb2bf87/application)

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