Our client is seeking an experienced Data Engineer to join our Houston-based team. In this role, you'll leverage your expertise in data integration, data warehousing, and data modeling to design and implement high-quality data solutions that empower our organization's decision-making.
Responsibilities:
- Design, build, and maintain scalable data pipelines and integration processes to support business operations and analytics.
- Develop and implement data models and data warehousing solutions to ensure reliable and efficient data storage.
- Write efficient, reusable, and testable code using Python for data processing and transformation tasks.
- Create and optimize DAX (Data Analysis Expressions) calculations to support data visualization and reporting needs.
- Collaborate with cross-functional teams, including data scientists, analysts, and business stakeholders, to understand data requirements and deliver solutions.
- Work with tools like Palantir Foundry to build, manage, and optimize data workflows (experience with Palantir Foundry is a plus).
- Ensure data accuracy, security, and quality through regular monitoring and governance practices.
- Document processes, pipelines, and best practices for future scalability and team collaboration.
Qualifications:
- 4+ years of experience in data integration, data warehousing, and data modeling.
- Proficient in Python for data development and processing.
- Experience developing and managing DAX calculations for business intelligence purposes.
- Knowledge of or experience with Palantir Foundry is a plus.
- A degree in Computer Science, Engineering, or a related field is preferred but not required.
- Strong analytical thinking and problem-solving skills and the ability to work effectively in a fast-paced, team-oriented environment.
- Houston-based; this position is primarily on-site.