Data Engineer: Pipelines, Cloud & Growth Opportunities

Redwood Central Solutions; Houston (TX); Vor Ort; USD 110.000 - 150.000; Vollzeit

Benefits dieser Stelle

comprehensive health insurance

retirement plans with employer matched

professional development opportunities

flexible work schedule

generous paid time off

Zusammenfassung

Redwood Central Solutions in Houston, TX is seeking a Data Engineer to design, develop, and maintain data pipelines ensuring secure data flow across our systems. The role emphasizes data integrity, quality, and scalable storage and processing.

The ideal candidate has experience with Python/Java/Scala, SQL/NoSQL, and cloud platforms (AWS/Azure/GCP), plus knowledge of Hadoop/Spark/Kafka. Competitive benefits and professional development opportunities are offered.

Qualifikationen

• Bachelor's degree in Computer Science, Data Science, or related field; or equivalent experience.
• Proven experience as a Data Engineer with data pipeline development and management.
• Proficiency in Python, Java, or Scala, and SQL/NoSQL databases.
• Experience with cloud platforms (AWS/Azure/GCP) and data processing tools (Hadoop, Spark, Kafka).

Aufgaben

• Design, develop, and maintain data pipelines for data-driven decision making.
• Collaborate with cross-functional teams to define data requirements and ensure data accuracy.
• Optimize data storage and retrieval for performance and scalability.
• Monitor pipeline performance and resolve issues to ensure data flow.

Kenntnisse

Python

Java

Scala

SQL

NoSQL

Data pipelines

Data quality

Problem solving

Ausbildung

Bachelor's degree in CS/Data Science or related

Tools

AWS

Azure

GCP

Hadoop

Spark

Kafka

Jobbeschreibung

Redwood Central Solutions in Houston, TX is seeking a Data Engineer to design, develop, and maintain data pipelines ensuring secure data flow across our systems. The role emphasizes data integrity, quality, and scalable storage and processing.

The ideal candidate has experience with Python/Java/Scala, SQL/NoSQL, and cloud platforms (AWS/Azure/GCP), plus knowledge of Hadoop/Spark/Kafka. Competitive benefits and professional development opportunities are offered.