Data Engineer – Real-Time Pipelines & Platforms

B Capital; Houston (TX); Hybrid; USD 80,000 - 110,000; Full time

Benefits offered by this job

Comprehensive health benefits

401(k) plan with employer match

Flexible paid time off

Stock options

Job summary

Fervo Energy is seeking a Data Engineer to design, build, and operate data pipelines in Houston, TX. This role involves managing data products from ingestion to production, with a focus on data quality and governance.

Ideal candidates will have experience with Apache Spark, Python, SQL, and tools like Databricks and Snowflake. The position offers hybrid work flexibility and a full suite of benefits.

Qualifications

• 2+ years of hands-on experience building and operating production data pipelines.
• Deep understanding of distributed, parallel data processing.
• Experience building both real-time and batch pipelines.

Responsibilities

• Design, build, and operate scalable batch and real-time data pipelines.
• Implement automated data quality frameworks.
• Support production incidents and platform-level issues.

Skills

Apache Spark framework

Python (PySpark)

SQL

Data modeling

CI/CD

Data governance

Azure Data Factory

Education

Bachelor’s or Master’s degree in related fields

Tools

Databricks

Snowflake

Job description

Fervo Energy is seeking a Data Engineer to design, build, and operate data pipelines in Houston, TX. This role involves managing data products from ingestion to production, with a focus on data quality and governance.

Ideal candidates will have experience with Apache Spark, Python, SQL, and tools like Databricks and Snowflake. The position offers hybrid work flexibility and a full suite of benefits.