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Space Systems Engineer
CACI
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We are seeking a highly skilled and motivated Systems Engineer who excels at decomposing complex problems to support our client in designing and actualizing the next generation space…
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Senior Azure Data Engineer (Databricks & Compliance Technology)
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Superintendent, Operations Assurance
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…units, LNG storage tanks, loading arms, and marine terminal systems to assess operational integrity, reliability, and adherence to safe operating…
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Controls Engineer
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Job Title: Controls EngineerJob DescriptionThis hands-on Controls Engineer role focuses on driving functional safety for complex robotic construction systems from concept through…
Added 6 mins ago
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Systems Engineer
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- $50 to $69.23 USD / hour
Job Title: Systems EngineerJob DescriptionThis hands-on Systems Engineer role focuses on driving functional safety for complex robotic construction systems from concept through…
Added 6 mins ago
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Automation Validation Engineer
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Andover, MA
- $90 to $100 USD / hour
The Automation Validation Engineer is responsible for execution of validation and commissioning protocols for automated process control systems. The position requires in-depth knowledge of…
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Software Engineer
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Minneapolis, MN
- $55 to $70 USD / hour
Job Title: Software EngineerJob DescriptionThe Software Engineer designs and delivers robust, maintainable embedded firmware architectures for regulated products in a high-technology…
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Secret Systems Integration and Verification (I&V) Engineer
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Remote, United States
- From $90 USD / hour
A large government contractor is seeking a Systems Integration and Verification (I&V) Engineer to support a highly technical space program in Longmont, CO. This individual will be…
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Robotics Software Development Engineer, Fauna
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Project Manager - LMH Equipment Proposal & Project Management Team
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Chicago Showroom Manager
DN SOLUTIONS AMERICA CORPORATION
Schaumburg, IL
- $130,000 to $150,000 USD / year
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Added 8 mins ago
TL
Data Forward Deployed Engineer – Applied Data & ML Engineering
Tessera Labs
Remote, United States
- $180,000 to $233,000 USD / year
…delivers governed execution across ERP, CRM, HCM, and finance systems, cutting timelines from years to weeks and costs by more than half. Built on deep expertise across SAP, Oracle,…
Added 9 mins ago
Electrical Controls Engineer
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This position serves as the key technical resource and subject matter expert for electrical controls and automation systems supporting industrial manufacturing equipment. The Electrical…
Added 9 mins ago
Systems/Controls Engineer II
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Lead improvement projects and support daily operation of process automation systems including Utilities, aseptic filling, and packaging line equipment (cartoners, bundlers, case-packers,…
Added 9 mins ago
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Member of Technical Staff (Software Engineer, Cybersecurity Products)
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Added 10 mins ago
Sr. Hardware Engineer
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Added 10 mins ago
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Staff Software Engineer, Funding
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Roseville, CA · Austin, TX · Plano, TX · San Francisco, CA · West Palm Beach, FL
- $188,300 to $212,900 USD / year
…about code quality, alerts, dashboards, pipelines, and other automation to ensure the quality of our products. We are pushing the boundaries of technology at GoodLeap and always have new…

Tessera Labs

Data Forward Deployed Engineer – Applied Data & ML Engineering

Remote, United States

$180,000 to $233,000 USD / year

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Job details

Pay: $180,000 to $233,000 USD / year
Experience: 5+ years of experience in Data Engineering, ML Engineering or Applied Data Science.
Posting language: English
Posted: Nov 13, 2026

Original job description

ABOUT TESSERA LABS

Tessera is an AI-native platform for enterprise transformation. The multi-agent platform delivers governed execution across ERP, CRM, HCM, and finance systems, cutting timelines from years to weeks and costs by more than half. Built on deep expertise across SAP, Oracle, Salesforce, Workday, and other systems of record, Tessera combines the reliability of an integrator with the speed of an AI-native platform.

For decades, enterprises have struggled with fragmented business systems, where migrations have consumed hundreds of millions of dollars, data stayed inconsistent and unreliable, and business processes slowed under manual review. Tessera was founded to change that, for SAP and every other system enterprises depend on. The name itself - a tessera, a single tile in a mosaic - reflects our mission: unifying the disparate pieces of the enterprise into a coherent whole. Tessera is an AI-powered, multi-agent platform that harmonizes systems and lets teams work in plain English.

ROLE SUMMARY

We are looking for a Forward Deployed Engineer (FDE) for our Applied Data & ML capability. You will work directly with enterprise clients to turn fragmented, multi-system enterprise data into trusted data products and production ML models.

You will collaborate closely with client teams, SMEs and Tessera product engineers to translate complex business logic into data pipelines, canonical data models and applied ML solutions, and you will feed proven patterns back into the Tessera platform.

The role requires strong experience in SQL, Python, data modeling and applied machine learning, combined with the judgment to own ambiguous client problems end to end. This is a mid- to senior-level role.

This role owns delivery quality on your engagements: validation, reconciliation to source and stakeholder sign-off.

WHY JOIN TESSERA

Build at the frontier of applied AI. Work on a multi-agent AI platform that automates complex business workflows across SAP, Oracle, Salesforce, Workday, Snowflake, MuleSoft and more, and help bring real AI automation to the enterprise.
Shape the platform, not just the project. The pipelines, canonical models, mapping rules and ML components you build become reusable parts of the Tessera platform, and your field input goes straight to our product and R&D teams.
Work on real enterprise data. Harmonize master and transactional data across ERP, CRM, HCM and finance systems, and take ML models from feature engineering to production.
See more in a year than most see in five. You will work across several enterprise customers and landscapes, alongside senior functional architects, Forward Deployed Engineers and AI engineers.
Own real outcomes. You will work in a software platform company where engineers are trusted with decisions, and where the measure of success is what customers adopt and keep using.

KEY RESPONSIBILITIES

DEPLOY WITH CLIENTS

Embed with client teams to scope data and ML problems, map source systems and deliver working outcomes in weeks.
Own delivery quality, including validation, reconciliation to source and stakeholder sign-off.
Turn repeated client patterns into reusable components for the Tessera platform.

BUILD AND HARMONIZE ENTERPRISE DATA

Design and develop scalable ETL/ELT pipelines using SQL, Python and dbt to ingest and transform data from enterprise platforms, including ERP, CRM, HCM and finance systems.
Design canonical enterprise data models and cross-system mapping rules that standardize master and transactional data.
Implement validation, reconciliation and monitoring to resolve duplicate, inconsistent and legacy data.

APPLY MACHINE LEARNING

Engineer features and build models on enterprise data for use cases such as forecasting and anomaly detection.
Deploy models to production and monitor them.

REQUIRED QUALIFICATIONS

5+ years of experience in Data Engineering, ML Engineering or Applied Data Science.
Enterprise data harmonization, migration or analytics experience across ERP, CRM or finance systems.
Experience in client-facing, consulting or forward-deployed roles.
Advanced SQL, and strong Python for data pipelines and ML workflows.
Experience building ETL/ELT pipelines and processing large-scale enterprise datasets.
Relational and dimensional data modeling.
dbt for transformation, testing and documentation.
Cloud platform experience (AWS, GCP or Azure).
At least one ML model built, deployed and monitored in production on business data.
Feature engineering from structured and time-series enterprise data, and model evaluation and monitoring.
Working knowledge of core enterprise data domains and business processes, such as finance, supply chain and master data.
Systems thinking: the ability to understand complex enterprise systems and business processes, and to turn business rules into data and ML solutions that work across platforms.
Client ownership: comfortable working directly with client engineers, functional consultants and business stakeholders, scoping ambiguity, and pushing back with evidence.
Data problem solving: strong analytical skills to diagnose and resolve enterprise data and model performance challenges.
Ownership and execution: the ability to take ownership of complex problems and deliver production-grade solutions that scale across enterprise environments.

WHO THIS ROLE IS NOT FOR

If you prefer to work on clean, well-documented datasets inside a single platform team, this is not the role: the data here is fragmented, duplicated and spread across ERP, CRM, HCM and finance systems. If you would rather hand a pipeline or model over than own it through validation, reconciliation to source and client sign-off, the same applies. And if you are not comfortable working directly with client stakeholders, scoping ambiguity and pushing back with evidence, you will not enjoy this role.

PREFERRED QUALIFICATIONS

Hands-on experience with a cloud data platform such as Snowflake or Databricks.
Distributed processing (Spark / PySpark, DuckDB or similar).

FIRST-YEAR MEASURES OF SUCCESS

Month 1: Up to speed on the Tessera platform and delivering on at least one client engagement. Trusted by the client’s data and business stakeholders and by the Tessera team on that engagement.
Month 2: Your first data product in production, validated and reconciled to source, with stakeholder sign-off. Repeated client patterns captured as reusable components for the Tessera platform.
Month 3: At least one ML model, for example for forecasting or anomaly detection, deployed and monitored in production on client data. Your reusable components in use on other engagements.

If you want to turn fragmented enterprise data into trusted data products and production ML models, and to build it with us, we would like to hear from you.

Tessera Labs is an equal opportunity employer. We welcome applicants of all backgrounds and do not discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other legally protected status.

No third party may recruit, solicit candidates, publish job opportunities, use Tessera Labs' name or branding, or represent that they are acting on behalf of Tessera Labs without prior written authorization. Any such activity conducted without explicit written consent is strictly prohibited.

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Jobs in the United States