> 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. # Data Engineer — Forward Deployed Canonical URL: https://nextmove.md/fde/jobs/0caee8461cf94a8d Modus Create posts a FDE role to prove the product works before the sale in US · city not listed with no pay posted. Forward-deployed data engineer embedded in Modus’s Data & ML practice, partnering directly with clients and Sellers on enterprise data modernization and pre-sales engagements. Read from the employer’s posting on November 8, 2026. - [Modus Create](https://nextmove.md/fde/companies/modus-create) Posted Sep 17, 2026 by Modus Create · open on Greenhouse as of Nov 8, 2026 Pay not posted US · city not listed Forward-deployed data engineer embedded in Modus’s Data & ML practice, partnering directly with clients and Sellers on enterprise data modernization and pre-sales engagements. - [See roles that fit me](https://nextmove.md/sign-up?from=%2Ffde%2Fjobs%2F0caee8461cf94a8d&placement=top) - [View posting at Modus Create](https://moduscreate.com/careers/7998624003?gh_jid=7998624003) 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 Staff+ FDE postings, 388 postings: the middle 50% of posted pay is $197K to $262K, median $225K. ### The work Proves it works before the sale Balance **Mostly building** Project stages 1. Pre-sales 2. Proof of concept 3. Implementation 4. Operations (not covered) - **Coding**: Writes production code - **Builds for**: External customers - **Level**: Staff+ - **Role**: Technical lead ### Do you meet what the posting states? The posting reads as a staff-level role. What level are you at now? 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 · city not listed ## More like this [Rackspace](https://nextmove.md/fde/companies/rackspace) ### [Forward Deployed Palantir Solutions Lead](https://nextmove.md/fde/jobs/ddd93b4e40ca06ef) US Remote New · 5d ago $192,610–$338,994 [Deloitte US](https://nextmove.md/fde/companies/deloitte-us) ### [ConvergeProsperity - Lead Product Forward Deployed Engineer for FSI Signals - Products & Platforms](https://nextmove.md/fde/jobs/3c1178cd0b1aad93) Multiple US offices 2mo ago $134,500–$265,100 [Deep Infra](https://nextmove.md/fde/companies/deep-infra) ### [Forward Deployed Engineer](https://nextmove.md/fde/jobs/1aec0681eb976cc3) Palo Alto, CA 2mo ago $150,000–$195,000 - [Other jobs at Modus Create (1)](https://nextmove.md/fde/companies/modus-create) ## The job description from Modus Create Posted by Modus Create on Sep 17, 2026 ### Opportunity You won't be building from the sidelines. As a Modus Data Engineer embedded in our Modus Data & ML practice, you operate as a forward deployed engineer — right at the frontier of enterprise data transformation. You'll work directly with clients to accelerate pre-sales opportunities, collaborating with Sellers to turn data challenges into production-grade solutions. Our team drives data platform engineering, big data modernization, and analytics transformation for some of the largest organizations in the world — helping them migrate to cloud-native data platforms, build scalable data pipelines, and unlock the full value of their data estates on AWS and beyond. You'll be in the room (or the call) where it happens, turning ambiguity into architectures and architectures into outcomes. This isn't a role for people who want to sit back and review tickets. You'll lead Executive Conversations, drive proof-of-concepts, run technical workshops, and build reusable IP that multiplies impact across customers, market segments, and technology domains. If you thrive on complexity, love building scalable patterns, and want your work to directly shape enterprise deals and client outcomes — this is your seat. ### What you'll do - Lead technical pre-sales engagements — Executive Conversations, workshops, POCs — directly alongside Sellers, turning ambiguous client data challenges into validated, production-ready architectural solutions. - Architect and deliver end-to-end data platform solutions across the modern data stack: ingestion, transformation, storage, orchestration, and visualization. - Design and implement scalable big data pipelines using Spark, Scala, EMR, Glue, and Airflow — processing petabyte-scale workloads with reliability and efficiency. - Build and optimize data warehousing and lakehouse solutions on Snowflake, Databricks, Redshift, and Apache Hadoop ecosystems. - Implement data transformation frameworks using dbt and deliver BI solutions across Power BI, Tableau, QuickSight, and Looker. - Integrate AI and ML capabilities into data platforms — building feature stores, ML pipelines, model serving infrastructure, and GenAI-powered data workflows. - Identify repeatable patterns, build reusable architectural IP, and influence senior stakeholders as a credible voice on data modernization strategy. - Drive force-multiplication: create mechanisms, enablement assets, and documentation that scale your impact well beyond your direct engagements. ### Requirements - Cloud data platforms: hands-on experience with Snowflake, Databricks, Amazon Redshift, and/or Apache Hadoop (HDFS, YARN, Hive) — plus AWS big data services including EMR, Glue, Athena, Lake Formation, and Kinesis. - Big data processing: production Spark in PySpark and/or Scala for batch and streaming; Apache Airflow for orchestration; AWS Glue for serverless ETL/ELT; Kafka or Kinesis for streaming pipelines. - Data transformation & modeling: hands-on dbt (modular pipelines, tests, CI/CD integration); strong SQL across analytical databases; experience with Kimball, Data Vault, or OBT modeling patterns and lakehouse formats (Delta Lake, Iceberg, Hudi). - Data visualization & BI: experience delivering solutions on one or more of Power BI, Tableau, Amazon QuickSight, or Looker — including semantic layer design, governance, and performance optimization. - AI & ML integration: experience with ML workflows (feature engineering, model pipelines, MLOps with MLflow or W&B); familiarity with GenAI/LLMs in data contexts (RAG, NL2SQL, LLM-powered data quality); exposure to AWS AI services (SageMaker, Bedrock). - Core engineering: strong Python and/or Scala fundamentals; ability to write clean, tested, maintainable code and apply engineering discipline to data work. - Client-facing delivery: comfort translating technical depth into business language; ability to lead POC engagements end-to-end and present to senior stakeholders. - Distributed teamwork: experience in async-first, globally distributed environments — you don't need to be in the same timezone to drive outcomes. ### Bonus Points - AWS certifications: Data Analytics Specialty, Solutions Architect, Machine Learning Specialty, or Database Specialty. - Databricks certifications or Snowflake SnowPro credentials. - Experience with data mesh, data contracts, or data product frameworks. - Background in consulting, professional services, or solutions engineering — you know how to run a room. - Familiarity with data governance and cataloging tools (Glue Catalog, Unity Catalog, Collibra). - Contributions to open-source data tooling, dbt packages, Spark libraries, or reusable architectural patterns ### You'll Love - Being the technical voice in the room — not just a builder in the back, but a strategic force in enterprise data deals. - Working at the intersection of data engineering, big data, cloud infrastructure, and generative AI on problems that actually matter at scale. - Building reusable IP that outlives individual engagements and shapes how entire market segments modernize their data platforms. - Collaborating with Fortune 500 clients and a globally distributed team of sharp, low-ego engineers. The autonomy to define solutions, the support to deliver them, and the recognition when they land By joining our team, you'll be part of a group that values precision, honest communication, and delivering work that stands up to scrutiny. Apply now and show us you've got what it takes to build data platforms that matter. [View posting at Modus Create](https://moduscreate.com/careers/7998624003?gh_jid=7998624003) ## Similar jobs [Monte Carlo](https://nextmove.md/fde/companies/monte-carlo) ### [Sr. Sales Engineer (Forward Deployed Engineer - Pre Sales)](https://nextmove.md/fde/jobs/6886f31d95415fc2) US Remote 5w ago $240,000–$270,000 [Celonis](https://nextmove.md/fde/companies/celonis) ### [Senior Value Engineer - Banking](https://nextmove.md/fde/jobs/689f32bb2b9debbc) New York, NY Hybrid 5mo ago $157,000–$183,000 [Impiricus](https://nextmove.md/fde/companies/impiricus) ### [Product Solutions Architect](https://nextmove.md/fde/jobs/9fb3adfa1c242b58) New York, NY · Atlanta, GA Remote 2mo ago $170,000–$210,000 [Mendix](https://nextmove.md/fde/companies/mendix) ### [Intelligence Center X Engineer - Americas](https://nextmove.md/fde/jobs/0af30c9ac127f183) US · city not listed Hybrid 5w ago $125,300–$334,400 [NeuraFlash](https://nextmove.md/fde/companies/neuraflash) ### [Forward Deployed Engineer, AI & Agentforce](https://nextmove.md/fde/jobs/cb80b88cedd676e6) US Remote 3w ago Pay not posted - [Compare staff+ FDE salary ranges](https://nextmove.md/fde/salary/staff) - [Similar jobs that prove the product works before the sale](https://nextmove.md/fde/jobs?role=presales) Hiring at Modus Create and want this page changed or removed? 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