Data Engineer

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, a prominent technology firm based in Houston, Texas, is currently recruiting for a Data Engineer position. This full-time role offers a competitive salary that is subject to negotiation, reflecting the company's commitment to attracting top talent in the field. The application deadline for this opportunity is set for November 22, 2026, providing interested candidates with a clear timeline to submit their applications.

As a Data Engineer, you will design, develop, and maintain data pipelines, ensuring the efficient and secure flow of data across our systems. You will also optimize data storage and processing, and ensure data integrity and quality.

In Houston, TX, you will join a team of data professionals in a dynamic workplace, where collaboration and communication are key to our team's success. We foster a culture of continuous learning and improvement, encouraging our team members to stay up-to-date with the latest industry trends and best practices. This collaborative environment allows for the exchange of ideas and the sharing of knowledge, which in turn, drives innovation and efficiency. We believe that by working together, we can achieve our goals and deliver exceptional results. Our team is committed to supporting each other's growth and development, providing opportunities for professional advancement and personal fulfillment.

The salary for this position is negotiable, and the benefits package includes comprehensive health insurance, retirement plans with employer matching contributions, and opportunities for professional development, such as workshops, courses, and certifications. Additionally, the company offers a flexible work schedule and generous paid time off, allowing employees to maintain a healthy work-life balance.

Responsibilities

• Design, develop, and maintain data pipelines to support our data-driven decision-making processes.
• Collaborate with cross-functional teams to identify data requirements and ensure data accuracy and integrity.
• Optimize data storage and retrieval processes to enhance system performance and scalability.
• Monitor data pipeline performance and troubleshoot issues to ensure uninterrupted data flow.
• Stay up-to-date with emerging technologies and industry best practices to drive innovation in our data engineering practices.

Qualifications

• Bachelor's degree in Computer Science, Data Science, or a related field, or equivalent experience.
• Proven experience as a Data Engineer, with a strong background in data pipeline development and management.
• Proficiency in programming languages such as Python, Java, or Scala, and familiarity with SQL and NoSQL databases.
• Experience with cloud platforms like AWS, Azure, or GCP, and knowledge of data storage and processing tools such as Hadoop, Spark, or Kafka.
• Strong problem-solving skills and the ability to work independently and as part of a team.

Benefits

• comprehensive health insurance
• retirement plans with employer matching contributions
• opportunities for professional development, such as workshops, courses, and certifications
• flexible work schedule
• generous paid time off