1448 Senior Engineer jobs in Houston,TX

Between $30.91 and $46.20

Health insurance

401(k)

Short and long-term disability

Paid time off

Growth and developmental opportunities

Advanced knowledge of manual machining practices and machine tool operation.

Strong experience operating large Horizontal Boring Mills (HBM) and Vertical Turret Lathes (VTL).

Ability to accurately read and interpret engineering drawings, GD&T; symbols, and technical specifications.

Thorough understanding of machining tolerances, fits, and precision measurements.

Ability to independently determine machining methods and sequences for repair and manufacturing work.

Ability to safely handle and machine large, heavy components.

Basic computer skills for documentation and job tracking.

Minimum 7-10 years of manual machining experience in a repair, manufacturing, or job shop environment.

Minimum 5 years of experience operating Horizontal Boring Mills (HBM).

Minimum 5 years of experience operating Vertical Turret Lathes (VTL).

Ability to hold close tolerances on large components.

Strong blueprint reading and dimensional inspection capabilities.

Knowledge of machining materials including carbon steel, stainless steel, alloy steels, bronze, and specialty materials.

While performing the duties of this position, the employee is regularly required to stand, walk, climb, stoop, kneel, reach, and use hands to operate machinery and measuring instruments.

The employee may be required to lift and/or move up to 50 pounds and assist with positioning significantly larger components using appropriate material handling equipment.

Personal protective equipment (PPE) is required at all times in designated areas.

Experience machining large rotating equipment components preferred.

Experience supporting pump, power generation, petrochemical, mining, or heavy industrial equipment preferred.

High School Diploma or GED preferred (or equivalent experience)

Technical or vocational machining training preferred.

Journeyman Machinist certification considered a plus.

Overhead crane and rigging experience preferred.

$145,000-$170,000

Discretionary annual bonus program

Long-term incentive program

Medical, dental, and vision insurance

Paid time off

401(k) matching program

Bachelor's degree in Computer Science, Data Science, Engineering, Physics, or a related technical field, or equivalent relevant experience.

7+ years of experience in software development, data engineering, automation, analytics engineering, or a closely related technical field.

Demonstrated experience independently delivering complex, production-grade data, software, automation, or AI solutions.

Strong proficiency in Python and SQL, with demonstrated ability to produce clean, maintainable, well-tested code.

Hands-on experience with modern cloud data platforms such as Snowflake, Databricks, or Palantir, including querying, data modeling, and performance optimization.

Solid understanding of data architecture, ETL/ELT, APIs, governance, security, CI/CD, and software development lifecycle practices.

Experience owning technical workstreams, contributing to solution design and code reviews, and supporting less-experienced contributors.

Must be legally authorized to work full-time in the United States for any employer other than your current employer

Must not require sponsorship now or in the future for employment visa status (e.g., H-1B, TN, etc.)

If you are selected for a position and depending upon your role, your employment may be contingent upon adherence to local policy. This may include pre-placement drug screening, medical review of physical fitness for the role, and background checks.

Experience in the energy or oil and gas industry, particularly with land, ownership, contracts, leases, title, or related business processes.

Experience building internal applications, workflow tools, dashboards, or self-service analytics products.

Experience with AI-assisted development tools, prompt engineering, retrieval-augmented generation, LLM APIs, or deploying AI-enabled applications.

Experience with cloud platforms such as AWS or Azure and infrastructure-as-code concepts.

Experience with data orchestration and transformation tools such as Airflow, dbt, or Databricks Workflows.

Exposure to data orchestration tools (e.g., Airflow, dbt, Databricks Workflows).

Experience with oil and gas land ownership, contracts, leases, and other agreements is a plus.