IT AI&S Senior Data Engineer at Socotec

Dallas, Texas, United States -

Full Time

Start Date

Immediate

Expiry Date

23 Jun, 26

Salary

0.0

Posted On

25 Mar, 26

Experience

10 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Databricks, Apache Spark, Delta Lake, Python, SQL, Data Modeling, ETL/ELT Pipeline Development, Cloud Data Platforms, Data Architecture, Distributed Systems, Master Data Management, Data Governance, Data Lineage, Observability, MDM Platform, Near-Real-Time Processing

Industry

Environmental Services

Description

Company Description SOCOTEC is a provider of niche consulting services within the architecture, engineering and construction industries focusing on high-performance buildings and specialty structures. Through an integrated, holistic approach, our professionals provide solutions for building envelope, energy efficiency, sustainability, code advisory and construction advisory projects SOCOTEC’s combination of expertise, experience and methods are increasingly recognized as best-in-class fueling significant growth. SOCOTEC is proud to announce that it has been officially certified as a Great Place to Work by the renowned global authority on workplace culture, Great Place to Work®. Job Description As a Senior Data Engineer, you will design and build scalable data systems that power SOCOTEC’s digital platforms and enterprise analytics. You will play a key role in architecting our modern data stack, enabling reliable ingestion, transformation, and modeling of data across multiple enterprise systems. This role requires strong experience in Databricks, distributed data processing, and enterprise data architecture, along with the ability to lead large data initiatives and collaborate with engineering and business teams. You will work closely with software engineers and platform teams to ensure SOCOTEC’s data ecosystem is reliable, scalable, and optimized for both operational systems and advanced analytics. Key Responsibilities Build SOCOTEC’s Enterprise Data Platform Design and implement scalable data pipelines that ingest and transform data from enterprise systems such as ERP, CRM, and operational databases. Develop and maintain data pipelines in Databricks using Spark and Delta Lake. Build and maintain data models that support analytics, AI applications, and operational systems. Lead Master Data Management (MDM) Initiatives Architect and implement SOCOTEC’s custom MDM platform using Databricks. Design data models that establish consistent “golden records” across multiple enterprise systems. Implement data governance, lineage, and quality frameworks. Design Enterprise-Scale Data Pipelines Build reliable ingestion pipelines for large-scale structured and semi-structured data. Implement batch and near-real-time data processing pipelines. Optimize large-scale data processing jobs for performance and cost efficiency. Enable Data for AI and Advanced Analytics Partner with AI and software engineering teams to deliver high-quality datasets for machine learning and AI applications. Build data pipelines that support SOCOTEC’s digital products, analytics dashboards, and operational platforms. Drive Data Architecture and Best Practices Define standards for data modeling, pipeline design, and data quality. Implement monitoring, observability, and alerting data systems. Ensure scalability, reliability, and security across the data platform. Qualifications 8+ years of experience as a Data Engineer or similar role Experience designing and owning large enterprise data projects Strong hands-on experience with Databricks, Apache Spark, and Delta Lake Experience building enterprise-scale ETL/ELT pipelines Experience working in enterprise environments with complex data systems Strong SQL and Python skills Preferred Experience Experience building Master Data Management (MDM) systems Experience with modern cloud data stacks (AWS, Azure, or GCP) Experience integrating data from ERP systems such as Deltek, SAP, or Oracle Experience with data governance, data lineage, and metadata management Familiarity with lakehouse architectures and modern data platforms Technical Skills Databricks Apache Spark Delta Lake Python SQL Data modeling ETL / ELT pipeline development Cloud data platforms (AWS / Azure) Data architecture and distributed systems We are looking for someone who: Has owned and delivered large-scale data platforms Is comfortable working in complex enterprise environments Can design systems that scale across multiple business units and data sources Is passionate about building reliable data infrastructure that enables analytics and AI This role requires both deep technical expertise and architectural thinking, as you will play a key role in shaping SOCOTEC’s long-term data strategy. Why Join SOCOTEC Digital Assurance You will be joining a growing technology group building advanced platforms for the built environment, including: AI-powered compliance systems Intelligent inspection workflows Enterprise analytics platforms Large-scale data infrastructure supporting engineering services Our goal is to transform how data and expertise flow across the built environment, enabling smarter decisions, faster compliance, and more efficient infrastructure. If you are passionate about building modern data platforms and solving complex data challenges at scale, we’d love to hear from you. Additional Information Additional information For more information, please visit www.socotec.us Job Type: Full-Time All your information will be kept confidential according to EEO guidelines. Socotec is an equal opportunity employer committed to diversity and inclusion in the workplace. SOCOTEC is an Equal Opportunity Employer. SOCOTEC is an Equal Opportunity Employer. Department: US - Corporate IT

Responsibilities

The Senior Data Engineer will design and build scalable data systems, playing a key role in architecting the modern data stack for reliable data ingestion, transformation, and modeling across enterprise systems. Key tasks include building the Enterprise Data Platform, leading Master Data Management (MDM) initiatives, and enabling data for AI and advanced analytics applications.