Data Engineer - Houston, United States - The Burchell Group Inc.

Description

Job Description

Job Title:

Data Engineer

Type:

Direct Hire

Location:

Houston, TX - Hybrid

Experience:

5 years

The Data Engineer role is a technical individual contributor role, focused on supporting data infrastructure to enable data analytics and machine learning. This role involves designing and building data pipelines, ensuring data quality, and facilitating data accessibility for data scientists and other business operations stakeholders. This role presents an exciting opportunity for a seasoned data engineer to contribute to the advancement of the companys data science transformation, leveraging expertise in data analytics to drive innovation and optimize operational outcomes.

Roles & Responsibilities

The primary responsibility involves participating in multi-disciplinary projects aimed at providing business solutions to diverse problem sets ranging from, but not limited to, production automation / optimization, drilling and completion process optimization, back-office process improvement and automation, dashboard generation and deployment, and computer vision aided operations.

Additionally, the Data Engineer will contribute to the adoption of new technologies and best practices for data pipelines and interface with the IT Department to bring new data pipelines into the broader data architecture.

The ability to be highly collaborative and in support of core business functions will be critical to the success of this role.

Requirements

Master's or Bachelor's degree in Data Science, Computer Science, or related field

Five (5) to Ten (10) years of relevant experience in Data Engineering

Proficiency in SQL, Python and other data engineering tools

Experience with big data architectures (e.g. Spark, Azure, Snowflake)

Demonstrated success communicating and collaborating cross functionally

Proven ability to work in a team-oriented environment

Strong problem-solving skills

Preferred

Exposure to the energy industry

Previous Oil and Gas operator experience

Familiarity with additional programming languages (Hadoop, Julia, R, C++, etc.)

Exposure to Petroleum Engineering, Machine Learning, and Data Science concepts