Forward Deployed Engineer (Alluvial)

At Jacobs, we’re building systems that enable global teams to think faster, act smarter, and deliver at scale. As part of the Alluvial Data & AI Platform organization, this role sits at the intersection of engineering, analytics, and applied intelligence. You will be part of a global team that builds and deploys advanced data solutions across multiple markets—accelerating delivery through reusable platform capabilities.

You won’t be maintaining a dashboard factory. You’ll be forward-deployed into projects where Jacobs’ clients are trying to move fast, and where Alluvial’s ecosystem—Microsoft Fabric, Azure Synapse, Power BI, Python, and AI-powered DevOps—gives you leverage to prototype, integrate, and deliver with speed and precision.

You will learn from senior data engineers and consultants, work alongside solution architects and visualization specialists, and help turn messy datasets into usable, explainable, and scalable intelligence.

Location: Hybrid 2 days per week at any US based Jacobs office. A list of offices can be found here: [1] https://www.jacobs.com/locations/americas/united-states

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 that leverage Alluvial’s reusable components for data ingestion, semantic modeling, and visualization.

• Contribute to AI-assisted workflows (prompt engineering, Copilot integration, and 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.

References

Visible links

1. https://www.jacobs.com/locations/americas/united-states

• Bachelor’s degree in Computer Science, Data Science, Engineering, or related field (or equivalent experience).

• 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.

Preferred

• 3 years of experience building or delivering data, analytics, or software solutions.

• Experience or coursework in data science, machine learning, or applied AI.

• Familiarity with AWS and interoperability across cloud ecosystems.

• Exposure to Palantir Foundry or similar enterprise data platforms.

• Basic experience with DevOps CI/CD pipelines and containerized environments (Docker, GitHub Actions, or Azure Pipelines).

• Experience with Jupyter notebooks, pandas, and visualization libraries (Plotly, Matplotlib).

• Working knowledge of prompt engineering or LLM-assisted workflows.

• Experience with Databricks, including collaborative notebooks and data engineering workflows.

• Experience building reports and dashboards in Power BI, including data modeling and visualization.

Jacobs is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, religion, creed, color, national origin, ancestry, sex (including pregnancy, childbirth, breastfeeding, or medical conditions related to pregnancy, childbirth, or breastfeeding), age, medical condition, marital or domestic partner status, sexual orientation, gender, gender identity, gender expression and transgender status, mental disability or physical disability, genetic information, military or veteran status, citizenship, low-income status or any other status or characteristic protected by applicable law. Learn more about your rights under Federal EEO laws and supplemental language.