Description

McCarthy Building Companies, Inc.

Position SummaryMcCarthy is seeking a full-time Data Engineer II located in St. Louis, MO who, as part of the Enterprise Solutions and Analytics team, will play a crucial part in shaping our data infrastructure, supporting our existing systems, and driving innovation through ML and AI solutions. As we expand our capabilities, your expertise will be pivotal in delivering end-to-end data pipelines and repositories.Key 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

Qualifications

• 5+ years of work experience in data management disciplines, including data modeling, integration and development of ETL/ELT pipelines.
• 5+ years ofdatasolution deliveryexperience 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.

Nice to Haves

• 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

McCarthy is proud to be an equal opportunity employer, including disability and protected veteran status.

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