Data Engineer

Databricks Data Engineer (Contract) Location: Dallas, TX (Remote) Industry: Consumer Goods Employment Type: Contract A Fortune 500 Consumer Goods organization is seeking an experienced Databricks Engineer to support the design, development, and optimization of a next-generation cloud data platform built on Databricks and modern cloud technologies. This is an exciting contract opportunity to contribute to a large-scale enterprise data transformation initiative focused on data modernization, analytics enablement, and AI readiness across the organization. The successful candidate will play a key role in building and enhancing scalable data pipelines, Lakehouse architectures, and cloud-native data solutions that support business intelligence, advanced analytics, machine learning, and enterprise reporting. Working closely with Data Architects, Data Engineers, Analytics teams, and business stakeholders, this individual will help drive engineering best practices and accelerate the organization's cloud data platform initiatives. We are specifically seeking hands-on Databricks professionals with strong experience designing and implementing enterprise-scale data solutions leveraging Databricks, Delta Lake, Apache Spark, and cloud platforms. Candidates who thrive in fast-paced environments and have a passion for data engineering excellence are strongly encouraged to apply. Key Responsibilities • Design, develop, and maintain scalable data pipelines using Databricks, PySpark, and cloud-native services • Build and optimize Lakehouse architectures leveraging Databricks, Delta Lake, and Apache Spark technologies • Develop robust ETL/ELT solutions to support enterprise reporting, analytics, and machine learning initiatives • Implement data ingestion frameworks supporting structured, semi-structured, and unstructured data sources • Collaborate with architects and stakeholders to translate business requirements into scalable technical solutions • Optimize Databricks workloads for performance, scalability, reliability, and cost efficiency • Develop and maintain Delta Live Tables, Databricks Workflows, and orchestration solutions where appropriate • Implement data quality controls, monitoring, observability, and operational best practices across the platform • Support the implementation of data governance, security, and compliance requirements utilizing Unity Catalog and related capabilities • Collaborate with DevOps and platform teams to establish CI/CD pipelines and Infrastructure-as-Code practices • Troubleshoot and resolve data processing, performance, and integration issues across the data ecosystem • Work closely with analytics, data science, and business teams to deliver high-quality data products and datasets • Contribute to cloud modernization efforts across Azure, AWS, or Google Cloud environments • Promote engineering best practices, documentation standards, and continuous improvement initiatives Required Qualifications • 5+ years of experience in Data Engineering, Big Data, or Cloud Data Platform development • 3+ years of hands-on experience developing solutions with Databricks • Strong expertise with Databricks, Delta Lake, Apache Spark, and PySpark • Experience building and supporting enterprise-scale data pipelines and data integration solutions • Strong proficiency in Python and SQL • Experience designing and implementing modern Lakehouse architectures • Hands-on experience with Azure, AWS, or Google Cloud Platform • Knowledge of data modeling, data warehousing, and enterprise data architecture concepts • Experience implementing data quality, governance, and security best practices • Experience with CI/CD pipelines, DevOps practices, and Infrastructure-as-Code frameworks • Strong understanding of distributed computing and large-scale data processing concepts • Excellent problem-solving skills and ability to work independently in complex enterprise environments • Strong communication and stakeholder engagement skills Preferred Qualifications • Active Databricks certifications preferred • Experience with Unity Catalog, Delta Live Tables, Databricks Workflows, MLflow, and Databricks Asset Bundles • Experience supporting advanced analytics, machine learning, and AI workloads • Experience integrating with Azure Data Factory, Azure Synapse, AWS Glue, or similar cloud-native services • Knowledge of streaming technologies and real-time data processing frameworks • Experience within consumer goods, retail, CPG, manufacturing, or other large-scale enterprise environments • Cloud certifications in Azure, AWS, or Google Cloud Platform What We're Looking For We are looking for a highly skilled Databricks Engineer who combines strong hands-on technical expertise with a passion for building scalable, cloud-native data solutions. The ideal candidate has successfully delivered enterprise Databricks implementations and possesses deep knowledge of modern data engineering practices. This individual will work closely with data, analytics, and technology teams to accelerate the organization's cloud transformation journey while delivering reliable, high-performance data platforms that enable business intelligence, advanced analytics, and AI-driven innovation. If you are interested in learning more, please apply directly or contact us for additional details.