Data Engineer

Beusa Energy, LLC•The Woodlands, TX

10d•Onsite

About The Position

As a Data Engineer at Beusa, you will own the performance, reliability, and cost-efficiency of our Databricks environment. You’ll design and optimize Delta tables, pipelines, and SQL Warehouse workloads so teams get fast, trustworthy data at the lowest reasonable cost. You will collaborate with cross-functional teams to translate requirements into high‑performing, production‑grade datasets and dashboards with clear SLAs.

Requirements

Successfully passes background check, pre-employment drug screening, an any pre-employment aptitude and/or competency assessment(s).
Valid U.S. Driver’s License.
Employment is contingent upon meeting the company’s driving standards, including an acceptable Motor Vehicle Record (MVR) in accordance with the company’s policy.
This role requires in‑office presence a minimum of four (4) days per week at our 10001 Six Pines Drive Location.
Must be legally authorized to work in the United States without the need for sponsorship.
Must be at least 18 years of age or older.
Bachelor’s degree in MIS, Computer Science, Engineering, IT, or related field.
An equivalent combination of education, specialized training, and relevant professional experience may be considered in lieu of a formal degree.
3–5+ years of experience in a data-focused role (Business Intelligence, Data Analysis, Data Management, etc.).
Experience with Databricks Data Engineering, including Delta Live Tables (DLT).
Strong PySpark/SparkSQL experience.
Advanced SQL skills and experience with relational databases (Microsoft SQL Server preferred).
Familiarity with Databricks Medallion architecture.
Proficiency in Power BI (preferred), Tableau, Spotfire, or Sigma.
Experience with dashboard creation, and data visualization best practices.
Ability to manage multiple projects and adapt to changing priorities.
Strong analytical, problem-solving, and communication skills.
Knowledge of data cleansing and preparation for analytics.
Ability to explain complex technical concepts to non-technical users.
Experience working in cross-functional teams.

Responsibilities

Build and operate 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.
Own performance optimization – profile and tune Spark/SQL workloads: partitioning, clustering, constraints, liquid clustering (if applicable), manage table health.
Engineer Delta tables for speed and cost: partitioning, Z-Ordering or clustering, constraints, file sizing; manage table health with Auto Optimize, OPTIMIZE, and VACUUM.
Implement incremental processing patterns (MERGE with Change Data Feed, APPLY CHANGES INTO) with idempotency and exactly-once delivery.
Partner with data consumers to deliver reliable, well-documented datasets with clear SLAs.
Design, build, and implement interactive dashboards and reports using Power BI and other visualization tools.
Collaborate with business units (Operations, Field Engineers, Assets) to gather requirements and translate them into technical solutions.
Develop and maintain data models, ensuring data quality and integrity.
Integrate data from multiple sources, including real-time field equipment and sensors.
Continuously evaluate and adopt new data management and analytics technologies.
Educate and support stakeholders on data tools and best practices.
Advocate for Beusa’s digital transformation and data-driven decision-making.
Engage with technology vendors and partners as needed.
Occasional travel to meet with stakeholders.
Performs other related duties as assigned to assist with successful operations and business continuity.