Data Engineer: Scalable ETL/ELT & Data Lakes

Rysun Labs; Houston (TX); On-site; USD 90,000 - 120,000; Full time

Benefits offered by this job

Dental insurance

Health insurance

Paid time off

Training & development

Vision insurance

Job summary

Rysun Labs in Houston is looking for a Data Engineer with 4–7 years of experience to design and maintain scalable ETL pipelines. The role requires strong expertise in SQL, experience with cloud platforms, and proficiency in Python or Scala.

The ideal candidate will collaborate with Data Analysts and Data Scientists, ensuring data quality across systems, while also optimizing workflows. If you have a track record in Data Engineering and Big Data technologies, we invite you to apply.

Qualifications

• 4–7 years of experience in Data Engineering or related roles.
• Hands-on experience with data integration frameworks.
• Strong knowledge of Data Warehousing and Data Lake architectures.

Responsibilities

• Design, develop, and maintain scalable ETL/ELT pipelines.
• Build and optimize data integration workflows from multiple sources.
• Collaborate with multiple stakeholders to understand data requirements.

Skills

Expertise in SQL and database design

Experience with ETL/ELT tools

Knowledge of cloud platforms (AWS, Azure, GCP)

Proficiency in Python, PySpark, or Scala

Experience with Big Data technologies like Spark

Strong analytical and problem-solving skills

Tools

Databricks

Hadoop

Kafka

Job description

Rysun Labs in Houston is looking for a Data Engineer with 4–7 years of experience to design and maintain scalable ETL pipelines. The role requires strong expertise in SQL, experience with cloud platforms, and proficiency in Python or Scala.

The ideal candidate will collaborate with Data Analysts and Data Scientists, ensuring data quality across systems, while also optimizing workflows. If you have a track record in Data Engineering and Big Data technologies, we invite you to apply.