Forward Deployed Engineer (Alluvial) — Denver, CO

At vKsgwQ, we're challenging today to reinvent tomorrow by solving the world's most critical problems for thriving cities, resilient environments, mission-critical outcomes, operational advancement, scientific discovery and cutting-edge manufacturing, turning abstract ideas into realities that transform the world for good.

Your impact

At vKsgwQ, 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 vKsgwQ’ 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 vKsgwQ office. A list of offices can be found here https//••••••••

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.

Here's what you'll need

• 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.

Our health and welfare benefits are designed to invest in you, and in the things you care about. Your health. Your well-being. Your security. Your future. Employees have access to medical, dental, vision, and basic life insurance, a 401(k) plan, and the ability to purchase company stock at a discount. Eligible employees may also enroll in a deferred compensation plan or the Executive Deferral Plan. vKsgwQ has a U.S. Personalized Paid Time Off (PPTO) policy for full-time salaried/exempt employees, seven paid holidays, and caregiver leave. And certain roles may be eligible for additional rewards, including merit increases, performance discretionary bonus, and stock.

The base salary range for this position is $90,000.00 to $120,000.00. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training.

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status. Job posted on November 11, 2026. This position will be open for at least 3 days.

We value collaboration and believe that in-person interactions are crucial for both our culture and client delivery. We empower employees with our hybrid working policy, allowing them to split their work week between vKsgwQ offices/projects and remote locations enabling them to deliver their best work.

Your application experience is important to us, and we’re keen to adapt to make every interaction even better. If you require further support or reasonable adjustments with regards to the recruitment process (for example, you require the application form in a different format), please contact the team via Careers Support.