Principle/Senior Data Engineer

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Houston / $120000 - $140000 annum

INFO

Salary
SALARY:

$120000 - $140000

Location

LOCATION

Houston

Job Type
JOB TYPE

Permanent

Principle/Senior Data Engineer

Houston

Hybrid - 4 days in the office per week

Up to $140k + bonus

Right to work in the US

This privately held enterprise operates a diverse portfolio spanning automotive, hospitality, entertainment, conservation, and adventure industries. It is driven by a commitment to innovation, sustainability, and creating lasting value through ethical practices and global impact.

The Role

As a Principal Data Engineer, you'll architect, implement, and manage robust, scalable data platforms to support advanced analytics, machine learning, and real-time data processing. You'll collaborate with cross-functional teams to design modern data solutions while mentoring junior team members.

Key Responsibilities:

  • Design scalable data solutions using Databricks Delta Lake, Data Warehousing, and Lakehouse architectures.
  • Build and optimize data pipelines for large-scale data ingestion, processing, and storage.
  • Leverage cloud technologies (AWS or Azure) such as EC2, RDS, S3, Glue, and Lambda to enhance data handling.
  • Develop and maintain high-performance data models, SQL queries, and ETL/ELT workflows.
  • Implement CI/CD pipelines and version control practices (Git).
  • Collaborate with data scientists, analysts, and machine learning engineers to support analytical models.
  • Ensure compliance with data governance, security, and best practices for cloud data infrastructure.
  • Monitor and troubleshoot pipeline performance to minimize costs and improve scalability.
  • Lead data engineering projects, mentor junior engineers, and stay updated on emerging technologies.

Your Skills and Experience

Please apply if you have:

  • Strong experience with Databricks (Delta Lake, Unity Catalog, Lakehouse).
  • Expertise in AWS or Azure cloud services.
  • Proficiency in Python, PySpark, and SQL for data processing.
  • Hands-on experience with big data technologies like Apache Spark and Kafka.
  • RDBMS and data warehousing (data modeling, analysis, and stored procedures).
  • Familiarity with CI/CD pipelines and version control (Git).
  • Experience with agile methodologies.
  • 5-8 years of hands-on experience in data engineering and large-scale pipeline architecture.

Nice to have:

  • Familiarity with SAP, BW, HANA, Tableau, or Power BI.
  • Experience in auto, manufacturing, or supply chain industries.
  • Certifications: AWS Certified Solution Architect, Databricks Certified Developer for Apache Spark.

CONTACT

Lauren Van Oerle

Recruitment Consultant

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