> 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.

# FDR Data Engineer US1

Canonical URL: https://nextmove.md/fde/jobs/d1456d9001df5302

DataSQRL posts a FDE role to build what the customer runs in Seattle, WA with no pay posted. Own end-to-end data implementation for a single enterprise customer, combining production data engineering, customer partnership, and delivery management. Read from the employer’s posting on November 8, 2026.

- [DataSQRL](https://nextmove.md/fde/companies/datasqrl)

Posted Sep 16, 2026 by DataSQRL · open on Gem as of Nov 8, 2026

Pay not posted Seattle, WA Full-time

Own end-to-end data implementation for a single enterprise customer, combining production data engineering, customer partnership, and delivery management.

- [See roles that fit me](https://nextmove.md/sign-up?from=%2Ffde%2Fjobs%2Fd1456d9001df5302&placement=top)
- [View posting at DataSQRL](https://jobs.gem.com/datasqrl/am9icG9zdDrcRKs6wOH9aihauFNnc9FN)

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

Not posted

Senior FDE postings, 1,864 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 (not covered)
3. Implementation
4. Operations

- **Coding**: Writes production code

- **Builds for**: External customers

- **Level**: Senior

- **Role**: Individual contributor

### What they ask for

Experience

- **4+ years** Data engineering, analytics engineering, backend engineering, or a closely related role

Background

- **Software engineering**
- **Implementation and data engineering**

### Do you meet what the posting states?

The posting asks for 4+ years. How many do you have?

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

The job is in Seattle, WA. Could you work there?

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**: Seattle, WA

- **Employment type**: Full-time

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## The job description from DataSQRL

Posted by DataSQRL on Sep 16, 2026

### Forward Deployed Data Engineer

### About the Role

DataSQRL is hiring a Forward Deployed Data Engineer to embed with one of our enterprise customers and own the success of their data implementation end to end.

This role combines three jobs in one. You are a **hands-on data engineer** who builds and operates production pipelines and data products. You are the customer's **trusted technical partner**, working directly with their engineers and business stakeholders. And you are the **delivery owner** who turns ambiguous goals into scoped plans, drives them to production, and keeps commitments on track.

You will be dedicated to a single customer while remaining part of DataSQRL's engineering organization. What you learn in the field shapes our product: you bring real-world requirements back to the platform team and turn one-off solutions into reusable capabilities.

### What You Will Own

### Data Engineering

- Design, build, test, deploy, and operate batch and real-time data pipelines.
- Integrate data from the customer's source systems via databases, APIs, files, and event streams.
- Build data products with DataSQRL and its underlying technologies, including SQL, Kafka, Flink, PostgreSQL, GraphQL, and cloud infrastructure.
- Implement automated controls for completeness, accuracy, timeliness, lineage, schema changes, and reconciliation.
- Monitor production workloads and diagnose data, pipeline, performance, and integration failures through resolution.

### Customer Partnership

- Serve as the customer's primary technical point of contact for their DataSQRL implementation.
- Work with technical and business stakeholders to uncover the real problem behind a request and translate it into data contracts, models, APIs, and acceptance criteria.
- Communicate trade-offs clearly, set realistic expectations, and build confidence in the data and in DataSQRL as a partner.
- Validate delivered capabilities with users to confirm they solve the intended problem.

### Delivery and Project Management

- Scope, plan, and prioritize work with customer stakeholders, and maintain a clear roadmap of commitments.
- Coordinate releases, dependencies, and change management across customer and DataSQRL teams.
- Track progress, surface risks early, and escalate decisions that require customer or internal alignment.
- Document data contracts, schemas, transformation logic, runbooks, and known limitations so both teams have full operational visibility.

### Product Feedback Loop

- Identify gaps, friction, and recurring patterns in customer deployments.
- Partner with DataSQRL product and engineering to turn field learnings into platform improvements without disrupting customer delivery.

### What Success Looks Like

**First 90 days:** You understand the customer's priority use cases, data sources, stakeholders, environments, and delivery process. You have shipped production-quality pipelines and established a working delivery rhythm and operating documentation.

### Ongoing

- Reliable, accurate, and timely data products.
- Predictable delivery against jointly agreed priorities.
- Fast diagnosis and resolution of production issues.
- Less manual data preparation and fewer recurring data-quality failures.
- Strong stakeholder trust and a customer that sees DataSQRL as a strategic partner.
- Field insights that measurably improve the DataSQRL platform.

### Required Qualifications

- 4+ years of experience in data engineering, analytics engineering, backend engineering, or a closely related role.
- Advanced SQL and experience designing relational data models and production transformations.
- Strong proficiency in Python or Java for data processing, integration, testing, and automation.
- Experience building and operating production data pipelines across databases, APIs, files, and cloud services, preferably on AWS.
- Working knowledge of data quality, observability, lineage, schema evolution, reconciliation, and incident response.
- Ability to diagnose problems across source systems, transformation logic, infrastructure, and downstream consumers.
- Excellent written and verbal communication, including with non-technical stakeholders.
- Demonstrated ownership: you can take a requirement from discovery through production operation with limited supervision.
- Experience planning and driving technical projects, including managing scope, timelines, and stakeholder expectations.

### Preferred Qualifications

- Experience with Apache Kafka, Apache Flink, PostgreSQL, GraphQL, or comparable technologies.
- Prior experience as a forward deployed engineer, solutions engineer, consultant, or in another customer-embedded or professional services role.
- Experience with CI/CD, infrastructure as code, containerized workloads, and production monitoring.
- Familiarity with data governance, role-based access control, privacy requirements, and secure handling of customer data.
- Startup experience balancing delivery speed, reliability, and evolving requirements.

### How You Will Work

DataSQRL employs and manages this position, with your delivery capacity dedicated to your assigned customer. Day-to-day priorities are set with designated customer stakeholders and governed through DataSQRL's delivery and engineering processes.

Because you are embedded with a customer, responsiveness, reliability, and relationship management are core to the job, not secondary responsibilities. You will need sound judgment about when to resolve an issue yourself, when to bring in DataSQRL platform engineering, and when a requirement or trade-off needs customer alignment.

### About DataSQRL

DataSQRL automates the creation of production-grade data infrastructure for operational applications, analytics, and AI. Our platform helps organizations turn fragmented source data into governed, reliable data products and APIs faster, using an open-source foundation and modern streaming and database technologies.

### Equal Opportunity

DataSQRL is an equal opportunity employer. We consider qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, disability, veteran status, or any other characteristic protected by applicable law.

[View posting at DataSQRL](https://jobs.gem.com/datasqrl/am9icG9zdDrcRKs6wOH9aihauFNnc9FN)

## About DataSQRL

DataSQRL provides an open-source harness that helps coding agents build, verify, and operate production data pipelines, APIs, and data products.

1–10 people

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