Senior Data Engineer: Databricks Lakehouse Architect

Beusa Energy Group

The Woodlands (TX)

On-site

USD 120,000 - 160,000

Full time

14 days+
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Job summary

Beusa Energy Group is seeking an experienced Data Engineer to own the performance, reliability, and cost-efficiency of the Databricks environment. You will design and optimize Delta tables, pipelines, and SQL workloads to deliver fast, trustworthy data at low cost.

You will collaborate with cross-functional teams to translate requirements into high-performing datasets and dashboards with clear SLAs, and you will mentor junior engineers while advancing Beusa’s data-driven strategy.

Qualifications

  • 8+ years of experience in Data Engineering, Data Warehousing, or Analytics.
  • 3+ years hands-on with Databricks and the Lakehouse Platform.
  • Expert-level proficiency with PySpark, Spark SQL, and distributed data processing concepts.
  • Advanced SQL development skills with Microsoft SQL Server preferred.
  • Experience designing and implementing Databricks Medallion Architectures (Bronze, Silver, Gold).
  • Experience building and optimizing batch and streaming data pipelines.
  • Experience CI/CD deployment strategies for data platforms.

Responsibilities

  • Build Lakehouse pipelines on Databricks (Bronze/Silver/Gold) using Delta Lake, Delta Live Tables (DLT), and/or Jobs.
  • Own ingestion patterns (Autoloader, CDC, streaming) optimization
  • Own data modeling, quality checks, and performance optimization.
  • Tune Spark/SQL workloads: partitioning, clustering, constraints, and table health.
  • Engineer Delta tables for speed and cost; manage table health with Auto Optimize, OPTIMIZE, VACUUM.
  • Implement incremental processing patterns with idempotency and exactly-once delivery.
  • Deliver reliable, well-documented datasets with clear SLAs.
  • Design and implement dashboards and reports using Power BI and other visualization tools.
  • Collaborate with Operations, Field Engineers, Assets to translate requirements into technical solutions.
  • Develop and maintain data models ensuring data quality and integrity.
  • Integrate data from multiple sources including real-time sensors.
  • Educate and support stakeholders on data tools and practices.

Skills

Databricks
PySpark
SQL
Data modeling
Data pipelines
CI/CD
Spark SQL
Governance

Education

Bachelor’s degree

Tools

Git
Azure DevOps

Job description

Beusa Energy Group is seeking an experienced Data Engineer to own the performance, reliability, and cost-efficiency of the Databricks environment. You will design and optimize Delta tables, pipelines, and SQL workloads to deliver fast, trustworthy data at low cost.

You will collaborate with cross-functional teams to translate requirements into high-performing datasets and dashboards with clear SLAs, and you will mentor junior engineers while advancing Beusa’s data-driven strategy.

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