Forward Deployed Engineer (Alluvial)

About the Role

At Jacobs, you will be part of the Alluvial Data & AI Platform organization, working at the intersection of engineering, analytics, and applied intelligence. This role is for a Forward Deployed Engineer who will be integrated into projects where clients need to accelerate delivery. You will leverage Alluvial’s ecosystem to prototype, integrate, and deliver solutions with speed and precision, working with senior data engineers and consultants.

Key Responsibilities

• Support the design, development, and deployment of analytical solutions using Microsoft Data & AI tools (Fabric, Synapse, Data Factory, Power BI, Azure ML).
• Develop and maintain ETL/ELT pipelines, notebooks, and APIs using Python, SQL, and PySpark.
• Build rapid prototypes leveraging Alluvial’s reusable components for data ingestion, semantic modeling, and visualization.
• Contribute to AI-assisted workflows (prompt engineering, Copilot integration, low-code automation).
• Work with cross-disciplinary teams to understand client problems and translate them into deliverable solutions.
• Contribute to solution and system architecture, including component design, integrations, and data flows.
• Contribute to and progressively take ownership of software and analytical solution delivery from requirements gathering through deployment, maintenance, and iteration.
• Assist with deployment automation, CI/CD pipelines, and environment setup using GitHub Actions and Azure DevOps.
• Perform exploratory data analysis, statistical profiling, and model testing on structured and unstructured datasets.
• Participate in agile ceremonies and help document technical specifications and lessons learned for reuse.
• Collaborate with Alluvial platform engineers to identify opportunities for platform enrichment based on project feedback.

Requirements & Tech Stack

• Proficiency in Python and SQL for data transformation and analysis.
• Familiarity with the Microsoft Data & AI Stack—Azure Data Factory, Synapse, Fabric, Power BI, or Databricks.
• Understanding of data modeling, version control (Git), and agile delivery.
• Comfort with cross-functional collaboration across time zones and disciplines.
• Demonstrated curiosity, initiative, and self-motivation, with the ability to take ownership of work.
• Comfort working through ambiguity and unfamiliar situations to develop practical solutions.
• Seller-doer mindset, with an interest in client relationships and contributing to business development.

Qualifications

• Bachelor’s degree in Computer Science, Data Science, Engineering, or related field (or equivalent experience).
• Preferred: 3 years of experience building or delivering data, analytics, or software solutions.
• Preferred: Experience or coursework in data science, machine learning, or applied AI.
• Preferred: Familiarity with AWS and interoperability across cloud ecosystems.
• Preferred: Exposure to Palantir Foundry or similar enterprise data platforms.
• Preferred: Basic experience with DevOps CI/CD pipelines and containerized environments (Docker, GitHub Actions, or Azure Pipelines).
• Preferred: Experience with Jupyter notebooks, pandas, and visualization libraries (Plotly, Matplotlib).
• Preferred: Working knowledge of prompt engineering or LLM-assisted workflows.
• Preferred: Experience with Databricks, including collaborative notebooks and data engineering workflows.
• Preferred: Experience building reports and dashboards in Power BI, including data modeling and visualization.

Location

• Hybrid: 2 days per week at any US-based Jacobs office.