Databricks Genie

Databricks Genie Developer Jobs

2 jobs found

1mo ago

Senior Data Engineer

Consigli Construction Providence, RI

Providence, RI

1mo ago Closed

$100k - $120k/yr Full time Senior Analytics Azure Data Factory

This position is no longer accepting applications (closed Aug 26, 2026).

Job Description

The Senior Data Engineer at Consigli Construction will design, build, and optimize the organization’s analytical data environment, focusing on pipelines, semantic models, data quality controls, and governed access. This role combines hands-on engineering with coordination of data management activities within a cloud-based lakehouse ecosystem.

Role Details

Location: Providence, RI (onsite)
Salary: USD 100,000 – 120,000 per year
Experience: Minimum 5 years in data architecture, data engineering, analytics engineering, or related roles in a modern cloud environment

Responsibilities

Contribute to the evolution of the lakehouse architecture spanning Databricks, Azure, and Fabric
Support ingestion, transformation, and serving patterns via Databricks notebooks, Empower, and related tools
Maintain environments, workspaces, and CI/CD patterns under guidance from senior technical leaders
Develop and sustain subject-area models, conformed dimensions, and governed metrics used in reporting and dashboards
Collaborate with business and project teams to standardize KPIs for cost, schedule, risk, and operational reporting
Refactor business logic from dashboards or ad hoc SQL into governed transformations and reusable metrics
Scale master data domains such as Project, Vendor, Budget, and People, while stewarding data definitions
Build, maintain, and document versioned pipelines and datasets that are code-reviewed and tested
Implement data validation, anomaly detection, monitoring, and robust error-handling procedures
Define SLAs, monitor reliability, and execute incident response playbooks
Identify opportunities to improve pipeline performance and processing efficiency
Assist with data classification, masking, access controls, and privacy-by-design principles
Partner with security and platform teams to support audits and maintain documentation
Work with project teams and stakeholders to understand data needs and deliver reliable, well-modeled datasets
Promote data literacy by enabling teams to access trusted analytics assets
Provide clear documentation and guidance on data modeling, quality, and governance

Requirements

5+ years in data architecture, data engineering, analytics engineering, or similar roles within a modern cloud environment
Proven experience designing data models, building ETL/ELT pipelines, and managing lakehouse or data warehouse environments
Hands-on experience with Databricks, MS Fabric, Delta Lake, or comparable 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 capabilities
Proficiency with Azure-based tools (Data Factory, Fabric/Lakehouse, OneLake) or equivalent Databricks tooling
Solid understanding of data lineage, cataloging, governance, data quality frameworks, and security best practices
Experience with CLI tools and AI-assisted workflows (Claude desktop, Databricks Genie, or equivalents)
Familiarity with enterprise systems such as Sage 300/CMiC, Workable/SagePeople, and Cosential/Unanet is advantageous
Excellent communication skills for translating technical concepts to business teams
Strong analytical thinking, problem-solving, and organizational abilities
Demonstrated ability to collaborate cross-functionally and promote data best practices

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1mo ago

Data Engineer I (AWS, Databricks)

Travelers Hartford, CT

Hartford, CT

1mo ago Closed

$109k - $180k/yr Full time AWS Business Intelligence Cloud

This position is no longer accepting applications (closed Aug 16, 2026).

Job Description

Travelers is hiring a Data Engineer I to design, build, and deploy data solutions on AWS and Databricks to support AI/ML and business intelligence across the enterprise; this role is onsite in Hartford, CT.