Senior Data Engineer

Location: Providence, RI (onsite). Salary: USD 100,000 - 120,000 per year. Experience: 5+ years. This onsite Senior Data Engineer role at Consigli Construction offers a hands-on opportunity to shape the organization's analytical data environment and governance practices. Responsibilities Contribute to the evolution of the lakehouse architecture using Databricks, Azure, and Fabric. Support ingestion, transformation, and serving patterns across Databricks notebooks, Empower and related tools. Maintain environments, workspaces, and CI/CD patterns under guidance from senior technical leaders. Support development and maintenance of subject-area models, conformed dimensions, and governed metrics used across reporting and dashboards. Partner with business and project teams to align and standardize KPIs for cost, schedule, risk, and operational reporting. Refactor business logic from dashboards or ad hoc SQL into governed transformations and reusable metrics. Contribute to scaling master data domains (Project, Vendor, Budget, People, etc.) and steward data definitions. Build, maintain, and document pipelines and datasets that are versioned, code-reviewed, and tested. Implement data validation rules, anomaly detection (rule-based or ML-assisted), monitoring, and error-handling procedures. Define SLAs, track reliability, and participate in incident response playbooks. Identify opportunities to improve pipeline performance and processing efficiency. Assist with applying data classification, masking, access controls, and privacy-by-design principles. Collaborate with security and platform teams to support compliance audits and maintain documentation. Work with project teams and business stakeholders to understand data needs and deliver reliable, well-modeled datasets. Promote data literacy by helping teams access and use trusted analytics assets. Provide clear communication, documentation, and best-practice guidance in data modeling, quality, and governance. Requirements 5+ years in data architecture, data engineering, analytics engineering, or a similar development role within a modern cloud environment. Strong experience designing data models, building ETL/ELT pipelines, and managing lakehouse or warehouse environments. Experience with Databricks, MS Fabric, Delta Lake, or similar platforms. Experience with construction or project-based analytics is a plus. Technologies Databricks Azure Fabric OneLake Data Factory Empower Databricks Genie Claude desktop Delta Lake MS Fabric Sage 300/CMiC (ERP) Workable/SagePeople (HRIS) Cosential/Unanet (CRM) Key Skills Strong SQL and Python skills Proficiency with Azure based tools (Data Factory, Fabric/Lakehouse, OneLake) or Databricks equivalents Deep understanding of data lineage, cataloging, governance, data quality frameworks, and security best practices Experience with CLI and AI-assisted workflows (Claude desktop, Databricks Genie, or equivalent) Familiarity with enterprise systems such as Sage 300/CMiC (ERP), Workable/SagePeople (HRIS), and Cosential/Unanet (CRM) is a plus Excellent communication skills with the ability to translate complex technical concepts for business teams Strong critical thinking, problem-solving, and analytical abilities Demonstrated ability to collaborate cross-functionally and drive adoption of data best practices #J-18808-Ljbffr