Data Engineer

🔥 2 hours ago

🇺🇸 United States – Remote

💵 $116k - $155k / year

⏰ Full Time

🟠 Senior

🔴 Lead

🚰 Data Engineer

👻 Ghost score 20%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Trilon Group

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

💼 Consulting

📦 Logistics

🏗️ Construction

Consulting • Logistics • Construction

Trilon Group is a company that partners with North America's leading infrastructure consulting firms to deliver smart and sustainable infrastructure solutions. They focus on investing in talent, technology, and targeted mergers and acquisitions (M&A) to help these firms grow. Trilon Group brings together planning, engineering, and design firms to enhance the efficiency, affordability, and impact of delivering critical infrastructure projects. By doing so, they aim to promote opportunity, equity, sustainability, and safety within communities. Trilon supports infrastructure development by fostering strategic partnerships and providing additional capital and resources.

📋 Description

• Serve as the primary owner and technical steward of Trilon’s enterprise data platform • Design, develop, and maintain data pipelines and workflows using Azure Data Factory, Synapse, and Microsoft Fabric • Build and manage data transformations, orchestration, and automation across structured, semi-structured, and unstructured data sources • Ensure scalability, reliability, and performance of the data platform as Trilon grows through acquisition • Implement monitoring and alerting to detect and resolve pipeline or data quality issues • Develop and maintain integrations between enterprise systems, cloud services, and acquired partner environments • Design and maintain a unified, scalable data model across business systems • Build secure, governed Power BI semantic models for analytics and self-service reporting • Implement data validation, quality checks, metadata, lineage, documentation, and governance standards • Develop automated ingestion, transformation, and validation frameworks using Azure-native tools • Apply DevOps principles including version control, testing, and deployment automation • Optimize pipeline performance, resource utilization, and data freshness • Build resilience and fault tolerance into data operations • Prepare and structure data for AI, machine learning, and RAG-based applications • Develop pipelines supporting model training, evaluation, and fine-tuning • Curate unstructured data for retrieval, embedding, and vectorization • Partner with application, infrastructure, cybersecurity, compliance, business, and AI teams • Support onboarding of acquired firms and alignment with Trilon’s enterprise data model • Provide documentation, architecture diagrams, and operational standards

🎯 Requirements

• 7 or more years of experience in data engineering, data integration, or data platform development • Strong hands-on experience with Azure Data Factory, Azure Synapse, Microsoft Fabric, and related Azure data services • Proficiency in SQL, DAX, Power Query, and data modeling for Power BI • Experience designing and maintaining Power BI semantic models, datasets, and row-level security configurations • Familiarity with data governance, cataloging, and lineage management in tools like Microsoft Purview • Experience building and optimizing cloud data pipelines with structured, semi-structured, and unstructured data • Understanding of data preparation for AI and machine learning applications, including RAG architectures • Exposure to engineering and geospatial data such as CAD, BIM, and GIS • Strong analytical and problem-solving skills with a focus on scalability and performance • Excellent collaboration and communication skills across technical and business audiences • Bachelor’s degree in Computer Science, Data Engineering, or related field preferred • Microsoft certifications such as Azure Data Engineer Associate or Fabric Analytics Engineer Associate are a plus • May require occasional travel to Trilon offices or partner locations for integration or collaboration activities

🏖️ Benefits

• Trilon is backed by Alpine Investors, a PeopleFirst Private Equity Firm • Pay transparency: base salary range reflects the company’s good faith estimate; final compensation considers experience, skills, qualifications, internal equity, and geographic location • May require occasional travel to Trilon offices or partner locations for integration or collaboration activities