Location
Irvine, CA | United States
Job description
Shape the Future of Data at Recruiter Hustle: Experienced Data Engineer
Full-time, Direct-hire position with excellent benefits!
Are you a passionate Data Engineer seeking to tackle challenging problems and build impactful data solutions? Do you thrive in a collaborative environment where your expertise shapes the future of the business? Then we want to hear from you!
Recruiter Hustle is seeking a talented Data Engineer to join our client company’s growing team. Our client company is a growing $400M global technology manufacturer.
In this dynamic role, you'll play a pivotal role in designing and developing our core data infrastructure. You'll collaborate closely with Subject Matter Experts (SMEs) to define the data model, integrate external systems with Foundry, and create data pipelines that transform raw data into actionable insights.
Key Responsibilities:
- Design and implement a comprehensive data model based on business requirements and available data sources.
- Integrate new data sources into Foundry using Data Connection.
- Develop robust data pipelines using PySpark or Pipeline Builder to transform and enrich data.
- Implement data quality checks and monitor pipelines for performance optimization.
- Collaborate with application developers to provide data engineering expertise and context.
- Identify opportunities to leverage data for the creation of interactive operational workflows.
Qualifications:
- 1-3 years of experience in Data Engineering with a strong understanding of data modeling principles.
- Proficiency in Python and PySpark (or a willingness to learn quickly).
- Experience with SQL querying languages (join types, filtering, aggregation) and data modeling concepts.
- Familiarity with version control systems like Git and agile development methodologies.
- Excellent analytical and problem-solving skills.
- Strong communication and collaboration skills.
Preferred Qualifications:
- Experience with TypeScript or a willingness to learn.
- Experience in building two-way integrations between systems.
- Knowledge of distributed computing frameworks like Hadoop and Spark.
- Familiarity with relational databases and popular systems (SAP, Salesforce, etc.)
- Understanding of UX design best practices and data quality principles.
Benefits:
- Competitive salary and benefits package, including medical, dental, vision insurance, and a 401(k) retirement plan.
- Paid time off (vacation, holidays, sick leave).
- Flexible Spending Account.
- Opportunity to work in a fast-paced, dynamic environment and make a real impact.
If you're a highly motivated Data Engineer who thrives on challenges and is passionate about building efficient data solutions, we encourage you to apply!
Job tags
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