Data Engineer 1

Job Details

Level: Experienced

Job Location:

Beusa The Woodlands Corporate Office Six Pines - The Woodlands, TX 77380

Position Type:
Full Time Education Level: 4 Year Degree

Travel Percentage : up to 10%
Job Shift: Day Data Engineer

Department:
Data Technology

Job Status:
Full-Time

FLSA Status:
Salary-Exempt

Reports To:

Data Engineering Supervisor

Location:

The Woodlands, TX

Amount of

Travel Required:

5-10%

Work Schedule:

Monday-Friday, 8 a.m.

-5 p.m.

Positions Supervised:
None

AIP Level: 7

(The following duties and responsibilities are all essential job functions, as defined by the ADA, except for those that begin with the word "may".)

• 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 BIand 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.
• Perform other related duties as assigned to assist with successful operations and business continuity.

• 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.
• Successfully passesall applicablegeneral pre-employment testing including but not limitedto:background check, pre-employment drug screening,pre-employment fit tests,pre-employment aptitude and/or competency assessment(s).
• Valid U.S. Driver’s License required.
  
  Most employment is contingent upon meeting company driving standards, including3-yearU.S. driving history andan acceptable Motor Vehicle Record (MVR) in accordance with Company policy.
• Dailyin person, predictable attendance in The Woodlands, TX.

• Bachelor's degree in MIS, Computer Science, Engineering, IT, or related field.
  
  An equivalent combination of education, specialized training, and relevant professional experience will 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.

Frequently required to walk, sit, climb, bend, reach and…