1

Professional Data Engineer Jobs in Rosenberg, TX

Utilize programming languages such as SQL, Python for data manipulation, analysis and model ... Five or more years of professional data science experience in manufacturing and/or supply chain ...

Azure Data Engineer (Houston, TX)

Houston, TX · On-site

$109K - $131K/yr

Data Science, Business Intelligence, Statistics, Computer Engineering or related field, or the equivalent combination of education, professional training, and work experience 5 or more years ...

Google Data Specialist

Houston, TX · On-site

$70K - $196K/yr

Google Cloud certifications (Associate Cloud Engineer or Professional Data Engineer). * Experience working in agile delivery environments. Compensation at Accenture varies depending on a wide array ...

Azure Data Engineer (Houston, TX)

Houston, TX · On-site

$109K - $131K/yr

Data Science, Business Intelligence, Statistics, Computer Engineering or related field, or the equivalent combination of education, professional training, and work experience * 5 or more years ...

Senior Data Engineer

Houston, TX

$101K - $137K/yr

Training & Professional Development * 401K Match w/ 2-year Vesting Period * Employee Stock Purchase Plan * Dynamic Culture & People - just to name a few! What's attractive about the Sr. Data Engineer ...

Senior Data Engineer

Houston, TX · On-site

$101K - $137K/yr

Training & Professional Development * 401K Match w/ 2-year Vesting Period * Employee Stock Purchase Plan * Dynamic Culture & People - just to name a few! What's attractive about the Sr. Data Engineer ...

Senior Data Engineer

Houston, TX · On-site

$101K - $137K/yr

Training & Professional Development * 401K Match w/ 2-year Vesting Period * Employee Stock Purchase Plan * Dynamic Culture & People - just to name a few! What's attractive about the Sr. Data Engineer ...

Senior Data Engineer

Houston, TX · On-site

$101K - $137K/yr

Training & Professional Development * 401K Match w/ 2-year Vesting Period * Employee Stock Purchase Plan * Dynamic Culture & People - just to name a few! What's attractive about the Sr. Data Engineer ...

Senior Data Engineer

Houston, TX · On-site

$101K - $137K/yr

Training & Professional Development * 401K Match w/ 2-year Vesting Period * Employee Stock Purchase Plan * Dynamic Culture & People - just to name a few! What's attractive about the Sr. Data Engineer ...

GCP Professional Data Engineer or equivalent certification preferred About Us At Par Pacific, we own and operate market-leading energy and infrastructure businesses in logistically complex markets.

Big data engineer

Houston, TX

$53.25 - $70.50/hr

The company provides professional and technical expertise in the fields of Telecom, Education ... Big Data Engineer Location: Houston, TX- locals highly preferred Duration: Through 3/31/2017 Notes:

Experience with Data Engineering and building data pipelines * Experience scraping websites with ... This job operates in a professional office environment. Because of the collaborative, fast-paced ...

Experience with Data Engineering and building data pipelines * Experience scraping websites with ... This job operates in a professional office environment. Because of the collaborative, fast-paced ...

Senior Data Engineer

Houston, TX · Remote

$101K - $137K/yr

The Senior Data Engineer is responsible for analyzing, validating, cleansing, and performing ETL of ... Prior law firm or professional services experience beneficial. #LI-Remote The Firm will comply with ...

next page

Showing results 1-20

Professional Data Engineer information

See Rosenberg, TX salary details

$39.7K

$115.7K

$158.4K

How much do professional data engineer jobs pay per year?

As of Jul 13, 2026, the average yearly pay for professional data engineer in Rosenberg, TX is $115,744.00, according to ZipRecruiter salary data. Most workers in this role earn between $102,200.00 and $122,700.00 per year, depending on experience, location, and employer.

What engineers make 300,000 a year?

Senior data engineers, especially those with extensive experience, advanced skills in cloud platforms, and expertise in big data tools like Spark and Hadoop, can earn $300,000 or more annually. High-paying roles often require certifications, leadership responsibilities, and working in competitive markets or large organizations.

Can I make 200K as a data engineer?

Data engineers can earn $200,000 or more annually, especially with extensive experience, advanced skills in cloud platforms, big data tools, and certifications. Salaries vary by location, industry, and company size, with senior roles and specialized expertise commanding higher pay.

What is a professional data engineer?

A professional data engineer designs, builds, and maintains data pipelines and infrastructure to enable data collection, storage, and analysis. They often work with tools like SQL, Apache Spark, and cloud platforms, and require strong programming and data management skills to support data-driven decision-making.

What engineer makes $500,000 a year?

A Professional Data Engineer can earn $500,000 or more annually, especially with extensive experience, advanced skills in cloud platforms like Google Cloud or AWS, and certifications. High salaries are often associated with senior roles, leadership positions, or working in large organizations with complex data infrastructure.

What is the difference between Professional Data Engineer vs Data Scientist?

AspectProfessional Data EngineerData Scientist
Required CredentialsCertifications like Google Cloud Professional Data Engineer, relevant degrees in computer science or data engineeringDegrees in statistics, data science, or related fields; certifications like Certified Data Scientist
Work EnvironmentDesigning data pipelines, managing data infrastructure, ensuring data qualityAnalyzing data, building models, deriving insights from data
Employer & Industry UsageTech companies, data-driven organizations focusing on data infrastructureResearch institutions, analytics firms, companies focusing on predictive modeling

The Professional Data Engineer primarily focuses on building and maintaining data infrastructure, ensuring data flows efficiently within organizations. In contrast, Data Scientists analyze data to extract insights and develop predictive models. Both roles often collaborate but serve different functions within data teams.

What cities near Rosenberg, TX are hiring for Professional Data Engineer jobs? Cities near Rosenberg, TX with the most Professional Data Engineer job openings:
Senior Data Scientist

Senior Data Scientist

NOV, Inc.

Houston, TX • On-site

Full-time

Re-posted 6 days ago


NOV rating

8.0

Company rating: 8.0 out of 10

Based on 55 frontline employees who took The Breakroom Quiz

150th of 430 rated machine equipment manufacturers


Job description


Reports to: VP Data & Analytics
As a Senior Data Scientist, you will:
  • Partner with business leaders to identify high-value opportunities in areas such as demand planning, capacity/production planning, procurement, and financial forecasting
  • Develop a firm understanding of specific business processes and real-world workflows
  • Work closely with cross-functional teams including domain experts, business analysts, data engineers and software engineers
  • Lead data science initiatives that impact operations globally across multiple business units
  • Define project scope, timelines and deliverables in collaboration with business leaders
  • Architect scalable machine learning and forecasting solutions within cloud platforms such as AWS, Azure, Databricks, and Snowflake
  • Ensure models are production-ready, robust, and maintainable with appropriate monitoring and retraining pipelines
  • Develop standardized methodologies and frameworks to ensure scalability and consistency across diverse environments
  • Ensure compliance with data governance, privacy, and security standards while scaling analytics solutions globally
  • Manage and mentor interns, junior data scientists and analysts
  • Translate advanced analytics results into strategic recommendations for VP and C-level leadership
  • Utilize programming languages such as SQL, Python for data manipulation, analysis and model development

SUGGESTED QUALIFICATIONS
  • Master's degree in a quantitative discipline
  • Five or more years of professional data science experience in manufacturing and/or supply chain environments
  • Hands-on experience working with ERP data and operational processes including order-to-cash, procure-to-pay, and demand-to-deliver
  • Proven ability to communicate complex or technical concepts clearly to both technical and non-technical audiences
  • Advanced proficiency in Python, SQL and PySpark; experience wrangling large relational datasets
  • Deep expertise in machine learning, forecasting and optimization
  • Experience deploying enterprise-scale solutions in cloud environments (AWS experience preferred)
  • Proficient in at least one data visualization library such as Matplotlib, Seaborn, or Plotly
  • Knowledge of Streamlit for building interactive data applications preferred
  • Familiarity with MLOps practices, CI/CD pipelines, and model lifecycle management
  • Demonstrated ability to drive business impact and ROI through analytics
  • Strong track record of executive-level communication and influence
  • Experience leading cross-functional teams across multiple geographies

What NOV employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom


NOV logo

About NOV

Sourced by ZipRecruiter

Throughout every region in the world and across every area of drilling and production, our family of companies has provided the technical expertise, advanced equipment and operational support necessary for success. We have the people, capabilities and vision to serve the needs of a challenging and evolving industry. One the world can’t live without. We are a global family of thousands of individuals, working as one team to create lasting impact for ourselves, our customers and the communities where we live and work. We take responsibility for each other and our company’s future, knowing that personal ownership leads to broader success. We believe in purposeful innovation because we see what others do not and we act. Through business innovation, product creation and service delivery, we are driven to power the industry that powers the world better.

Industry

Oil and gas extraction

Company size

10,000+ Employees

Headquarters location

Houston, TX, US

Year founded

1841