McCarthy Building Companies, Inc. · 1 day ago
Data Engineer II
McCarthy Building Companies, Inc. is the oldest privately-held national construction company in America, committed to delivering great experiences through a strong culture. The Data Engineer II will shape the data infrastructure, supporting systems and driving innovation through machine learning and AI solutions, while delivering end-to-end data pipelines and repositories.
Construction
Responsibilities
Profile source system data and design data warehouse and lake schemas
Transform raw data into usable format based on analytics, reporting and integration requirements
Design, implement, and support ETL, ELT and integration pipelines
Optimize data pipelines for performance, scalability and efficiency
Implement data quality checks and validations within data pipelines to ensure accuracy, consistency and completeness of data
Collaborate with cross-functional teams to promote AI solutions in the enterprise
Partner with teams implementing enterprise analytics platforms (e.g., Palantir) to design and execute data integration pipelines, manage ingestion from source systems, and ensure interoperability across platforms
Apply best practices in solution development, quality control and security in implementing pipelines
Participate in code and design review to ensure alignment to standards and best practices
Research, analyze, recommend, and select technical approaches for solving challenging and complex development and integration problems
Qualification
Required
5+ years of work experience in data management disciplines, including data modeling, integration and development of ETL/ELT pipelines
5+ years of data solution delivery experience using modern data platforms (e.g. Azure, Fabric, Palantir, etc.) and tools (Azure Data Factory, Azure DevOps, Palantir Foundry etc.)
Advanced SQL development for relational database systems
Experience developing complex SQL queries, stored procedures, functions, and database objects
Experience with Python for building, testing, and maintaining data pipelines and analytics workflows
Experience querying API endpoints
Experience with Power Query
Solid understanding of data warehouse and data lake concepts and design (including star schemas)
Experience with Agile/Scrum methodology preferred
Excellent analytical, conceptual, and problem-solving abilities with aptitude for acquiring new technical skills
Entrepreneurial attitude with a passion to deliver value for the organization
Highly motivated team player with strong interpersonal skills
Constant learner with a passion for continuous growth and improvement
Python proficiency for data management, ML and AI development
Preferred
Experience developing integration solutions using a low-code platform such as Boomi, Snaplogic or Mulesoft
Experience developing solutions using Lakehouse architecture
Experience working with enterprise analytics platforms such as Palantir (e.g., Foundry)
Experience developing and promoting work through devops/dataops pipelines and utilizing source control
Experience with NoSQL database systems and building data pipelines to ingest unstructured and streaming data
Experience preparing data for Data Science and Machine Learning use cases
Experience with master data management
Experience designing reports using Power BI, Power Query, and DAX
Benefits
Best-in-class Total Rewards benefits
Company
McCarthy Building Companies, Inc.
With 160 years spent collaborating with partners to solve complex building challenges on behalf of its clients, McCarthy Building Companies, Inc.
H1B Sponsorship
McCarthy Building Companies, Inc. has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (18)
2024 (9)
2023 (25)
2022 (19)
2021 (19)
2020 (22)
Funding
Current Stage
Late StageLeadership Team
Recent News
ReviewJournal
2025-12-24
2025-12-03
2025-11-05
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