Top 145 Senior lead software engineer big data python /java , databricks Jobs in Spring Tx

Data Engineer III
Beusa Energy, LLC —The Woodlands, TX
- Full-time
- Background check
- Computer science
- 7 years
Digital Business Engineer
TotalEnergies —Houston, TX
- Computer science
- Computer Science
- English
Sr. Data Ops/Data Platform Administrator
SM-Energy Company —Houston, TX
- $121,550 - $150,150 a year
- Full-time
- SQL
- Senior level
- Health insurance
- Retirement plan
Quick Apply
Senior Machine Learning Data Scientist
ENGIE —Houston, TX
- $102,000 - $156,400 a year
- Full-time
- Hybrid work
- Computer Science
- 5 years
- SQL
- Employee stock purchase plan
- Paid holidays
Business Intelligence Analyst
AWL —Houston, TX
- Remote
- Mid-level
- 3 years
- Finance
Quick Apply
Data Engineer 1
Beusa Energy, LLC —The Woodlands, TX
- Full-time
- Background check
- 18 years or older
- Computer science
Lead/Sr BSA Data & Analytics
Boardwalk Pipelines —Houston, TX
- Full-time
- Mid-level
- Office
- 3 years
Lead Data Scientist
Octave Intelligence —Houston, TX
- Remote
- Computer Science
- 5 years
- HIPAA
Cactus Wellhead - Sr. Data Platform Engineering
Cactus Wellhead —Houston, TX
- 7 years
- DevOps
- ERP systems
Quick Apply
Senior Lead Software Engineer-Big Data Python /Java , Databricks
JPMorganChase —Houston, TX
- Full-time
- Azure
- 5 years
- System design
- Health insurance
- Tuition reimbursement
Agentic AI Engineer
Fervo Energy —Houston, TX
- $103,152 - $158,588 a year
- Full-time
- Hybrid work
- Office
- Master's degree
- Bachelor's degree
- Paid parental leave
- Disability insurance
Quick Apply
Data Engineer
Guidehouse —Houston, TX
- $89,000 - $148,000 a year
- Full-time
- 5 years
- Analysis skills
- Bachelor's degree
- Commuter assistance
- Health savings account
10d
Data Solutions - Data Engineer
Information Technology Senior Management Forum —Spring, TX
- $130,700 - $205,200 a year
- Full-time
- Computer science
- Azure
- Computer Science
- Paid parental leave
- Paid holidays
Completions & Well Management Research Engineer - Advanced
ExxonMobil —Spring, TX
- Azure
- Doctor of Philosophy
- Mentoring
- Health insurance
- Dental insurance
Sr Data Engineer
NextEra Energy, Inc. —Houston, TX
- Full-time
- 7 years
- Office
- Experience equivalent to degree accepted
Lead / Sr Analyst Data Scientist
Boardwalk Pipelines —Houston, TX
- Full-time
- Computer Science
- Office
- SQL
9d
Entry-Level Software Engineer
Pariveda —Houston, TX
- $79,800 - $91,800 a year
- Full-time
- Hybrid work
- Azure
- Computer Science
- Java
- Paid parental leave
- Health savings account
Sr. Data Engineer (PySpark, Azure Data Factory)
ePATHUSA —Houston, TX
- $55 - $60 an hour
- Hybrid work
- 8 years
- SQL
- Senior level
- Wellness program
- Paid parental leave
Lead Analyst Data Engineer
Boardwalk Pipelines —Houston, TX
- Full-time
- 7 years
- Computer Science
- Office
Lead Software Engineer - Full Stack/Java/React/Cloud Services
JPMorganChase —Houston, TX
- Full-time
- 5 years
- System design
- AWS
- Health insurance
- Tuition reimbursement
5d

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Data Engineer III

Beusa Energy, LLC
The Woodlands, TX

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Job Details

Full-time

Qualifications

Version control
SQL
Driver's License
Improving database performance
Real-time data processing implementation
Batch data processing
Data analytics technologies
Production troubleshooting

Full Job Description

Data Engineer

Job Description

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

POSITION SUMMARY: 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.

ESSENTIAL FUNCTIONS: (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 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.

POSITION 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 and ability to pass a background check.

EDUCATION/EXPERIENCE LEVEL:

Bachelor’s degree in MIS, Computer Science, Engineering, IT, or related field.
7-10+ years of experience in a data-focused role (Business Intelligence, Data Analysis, Data Management, etc.).

QUALIFICATIONS, SKILLS, COMPETENCIES, AND ABILITIES

8+ years of experience in Data Engineering, Data Warehousing, or Analytics Engineering.
3+ years of hands-on experience with Databricks and the Lakehouse Platform.
Expert-level proficiency with PySpark, Spark SQL, and distributed data processing concepts.
Advanced SQL development skills with experience in relational database platforms (Microsoft SQL Server preferred).
Experience designing and implementing Databricks Medallion Architectures (Bronze, Silver, Gold).
Experience building and optimizing batch and streaming data pipelines.
Experience designing, implementing, and maintaining CI/CD deployment strategies for data platforms.
Experience defining and implementing testing frameworks, including Unit Testing, Data Quality Testing, Schema Validation, Integration Testing, and Regression Testing.
Experience troubleshooting and optimizing Spark workloads for performance, scalability, reliability, and cost efficiency.
Experience implementing data governance, security, and access control frameworks, including Unity Catalog or similar technologies.
Experience with source control and DevOps practices using Git, Azure DevOps, or similar tools.
Experience mentoring junior engineers and providing technical leadership across projects.
Proven ability to work across multiple teams and stakeholders to deliver enterprise data solutions.

PHYSCIAL REQUIREMENTS/WORK ENVIRONMENT:

The physical demands and work environment described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.

Frequently required to walk, sit, climb, bend, reach and squat/kneel. The Business Intelligence Developer works primarily indoors and will be sitting prolonged periods of sitting at a desk and working on a computer. Must be able to access and navigate each department at the organization’s facilities. The Business Intelligence Developer may be required to lift heavy objects; therefore, The Business Intelligence Developer must be able to lift 25lbs.

Work hours may include early morning, late afternoon/evening hours, and weekends in combination depending on job demands.

The Company is committed to the cause of equal employment opportunity for all employees and applicants, thus abiding by all applicable state and federal laws. Our practices regarding employment, job promotion, compensation, training, and termination do not discriminate on the basis of race, color, religious creed, age, sex, national origin, veteran's status, disability, pregnancy, genetic information, or any other legally protected status. It is expected that all employees, both management and staff, will fully support these nondiscriminatory policies.

The company has reviewed this job description to ensure essential functions and duties have been included. It is not intended to be an exhaustive list of all functions, responsibilities, skills, and abilities.

Revised: 06/2026

Apply Now

Refine Your Search

senior lead software engineer big data python /java , databricks jobs in spring tx

Data Engineer III

Digital Business Engineer

Sr. Data Ops/Data Platform Administrator

Senior Machine Learning Data Scientist

Business Intelligence Analyst

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Lead Data Scientist

Cactus Wellhead - Sr. Data Platform Engineering

Senior Lead Software Engineer-Big Data Python /Java , Databricks

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