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      | Division: | Headquarters 
 |  
      | Project Location(s): | USA 
 |  
      | Minimum Years Experience: | 5 |  
      | Travel Involved: | 0-10% |  
      | Job Type: | Regular |  
      | Job Classification: | Experienced |  
      | Education: | Bachelors Degree |  
      | Job Family: | Information Services |  
      | Compensation: | Salaried Exempt |  |
 Position Description: TurnerConstruction is seeking a skilled and experienced Senior Data Engineer to join
 our growing Data Lakehouse team. In this role, you will design, build, and
 optimize data pipelines and infrastructure to support enterprise-wide analytics
 and reporting on a scale. You'll work closely with data analysts, data
 scientists, and business stakeholders to enable trusted, high-quality data
 across the organization.
 
 We
 are looking for someone who thrives in a cloud-native environment and is
 comfortable owning end-to-end data workflows-from ingestion to serving-in a
 modern ELT architecture. If you're passionate about building scalable data
 platforms and making data usable for real-world business decisions, we want to
 hear from you.
 
 Essential Duties & Key Responsibilities:
 
    Design, implement, and maintain robust and scalable ELT data pipelines using Python and SQL.Develop and orchestrate data workflows using Databricks as well as converting existing Azure Data Factory pipelines.Manage structured and semi-structured data ingestion into our Data Lakehouse platform (Delta Lake architecture).Build reusable, tested, and well-documented transformation logic with Databricks.Monitor data pipeline health, performance, and integrity; proactively resolve issues and ensure SLA compliance.Partner with analytics, engineering, and business teams to deliver well-modeled, production-ready datasets.Experience in Databricks view creation, partitioning, and optimization to ensure BI tools such as PowerBI can utilize Data Assets efficiently. Collaborate on the governance and documentation of metadata.Contribute to architectural discussions and platform evolution in support of enterprise data strategy. Qualifications: 
    Bachelor's Degree from accredited degree program in Computer Science, Engineering, Information Technology, or related field of study and minimum of 5 years of experience, or equivalent combination of education, training, and experienceAdvanced understanding of relational databases, star/snowflake schemas, data engineering best practices, including code versioning, testing and documentation, Agile delivery methodology and sprint managementAdvanced hands-on experience with Azure Data Lake Storage Gen2, Databricks and Unity Catalogs, GitHub, Azure Cloud Tools (e.g., Data Factory, Key Vaults, Entra ID, Subscriptions and Resource Groups, Serverless clusters, monitor and quotas) and programming languages: Python, SQL, R or ScalaAdvanced project management and organizational skills, able to prioritize tasks for self and others, especially in prioritizing continuous improvements and roadmap deliveryExperience building ELT pipelines within Databricks in a modern data stack.Solid understanding of Data Lakehouse concepts, Delta Lake, and columnar storage.Experience with data cataloging and governance tools such as Atlan a plus.Experience with dbt and modeling best practices a plus.Experience working in CI/CD environments with version-controlled code (e.g., Git).Domain knowledge in the construction industry or related sectors is a bonus.Strong analytical thinking and problem-solving skillsTeamwork, interpersonal and collaboration skills to engage with othersProfessional and clear verbal and written communication skills with ability to present to non-technical audiences and management, and tailor communications appropriately across organizational levelsDriver of process optimization using continuous improvement principles and conceptsContinuous learner of technologies and industry trendsProficient computer skills and Microsoft Office suite of applications and collaborative toolsLimited Travel Physical Demands: Thephysical demands described here are representative of those that must be met by
 an employee to successfully perform the essential functions of this job.
 Reasonable accommodation may be made to enable individuals with disabilities to
 perform the essential functions. While performing the duties of this job, the
 employee is frequently required to sit, use hands to finger, handle, or feel
 objects, tools, or controls; and reach with hands, talk, and hear. The employee
 frequently views a computer monitor and frequently uses a computer keyboard.
 Specific vision abilities required by this job include close vision, peripheral
 vision, depth perception, and the ability to adjust focus. The employee is
 occasionally required to be mobile, and the employee occasionally travels both
 short and long distances via a variety of conveyances. The employee
 occasionally performs work on-site at construction work sites, office
 locations, and/or off-site venues. The employee must regularly lift and/or move
 up to 10 pounds and occasionally lift and/or move up to 25 pounds.
 
 Work Environment: The
 work environment characteristics described here are representative of those an
 employee encounters while performing the essential functions of this job.
 Reasonable accommodation may be made to enable individuals with disabilities to
 perform the essential functions. While performing the duties of this job, the
 employee regularly works in an office or remote. The noise in the work
 environment is usually quiet to moderate in an office setting. The employee is
 required to work in compliance with company safety policies, procedures, and
 applicable laws.
 Turner is an Equal Opportunity Employer - race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or other characteristics protected by applicable law. |