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Professional Data Engineer Jobs in Rosenberg, TX

Senior Data Engineer

Stafford, TX · On-site

$92K - $125K/yr

We're seeking a skilled Senior Data Engineer to design, build, and maintain the robust data ... Professional working proficiency in English is a requirement, including the ability to read, write ...

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

$120 - $180/hr

The Senior Data Engineer works as part of a multi-functional team of data professionals focused on delivering data and evolving our technical infrastructure and processes to help deliver reliable ...

New

Big data engineer

Houston, TX · On-site

$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 ...

Title: Python PySpark/ Data Engineer Location: Houston, TX H1B Transfer will work, but local ... Professional work experience building real-time data streams using Spark and Experience in Spark.

Senior Data Engineer - Software Note: Position is not eligible for visa sponsorship. At WhiteWater ... Free Weekly Car Washes. If you are looking for professional development with advancement ...

Databricks Certified Data Engineer Professional Key Responsibilities: * Design and implement enterprise-scale data architectures and Lakehouse solutions. * Lead Databricks-based data engineering ...

Showing results 41-60

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 Sep 7, 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 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.

Are data engineers still in demand?

Data engineers are currently in high demand due to the increasing need for managing large-scale data infrastructure, building data pipelines, and supporting data analytics. Organizations seek professionals skilled in tools like SQL, Python, and cloud platforms to handle growing data workloads, making this a stable and growing career field.

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 are the most commonly searched types of Data Engineer jobs in Rosenberg, TX?

The most popular types of Data Engineer jobs in Rosenberg, TX are:

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 Engineer

Eurofins

Stafford, TX • On-site

$92K - $125K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 19 days ago


Eurofins rating

7.5

Company rating: 7.5 out of 10

Based on 181 frontline employees who took The Breakroom Quiz

64th of 121 rated laboratories


Job description

Company Description
Eurofins Scientific is an international life sciences company, providing a unique range of analytical testing services to clients across multiple industries, to make life and our environment safer, healthier and more sustainable. From the food you eat, to the water you drink, to the medicines you rely on, Eurofins laboratories work with the biggest companies in the world to ensure the products they supply are safe, their ingredients are authentic, and labelling is accurate.
Eurofins is dedicated to delivering testing services that contribute to the health and safety of society and the planet, and to its corporate responsibility to protect the environment and ensure diversity, equity, and inclusion across the entire network of Eurofins companies.
Job Description
Our team is at the forefront of applying Machine Learning (ML) to interpret and process complex chemical data, specifically chromatograms and environmental testing results. We're seeking a skilled Senior Data Engineer to design, build, and maintain the robust data pipelines and infrastructure necessary to support our ML model training, deployment, and analysis workflows. The ideal candidate has a strong foundation in data engineering, understands the unique challenges of scientific data, and is eager to work closely with both Machine Learning Engineers (MLE) and Chemists.
Key Responsibilities
  • Data Pipeline Development: Design, construct, and manage scalable and reliable ETL/ELT pipelines to ingest, clean, transform, and store raw chemistry data (e.g., CSV, JSON, and proprietary instrument formats).
  • Data Modeling & Warehousing: Develop optimized data models and manage a data warehouse (or data lake) to support fast querying and ML feature engineering on complex datasets, including time-series and spectral data from chromatograms.
  • ML Infrastructure: Collaborate with MLE to containerize and deploy ML models and build automated model retraining and monitoring pipelines.
  • Data Quality & Governance: Implement robust data quality checks, validation, and monitoring to ensure the integrity and reproducibility of chemical experiment data used for ML.
  • Tooling: Develop internal tools and APIs to facilitate data access for MLE and provide standardized interfaces for data submission from chemistry lab systems.

Qualifications
Education: Bachelor's or Master's degree in Computer Science, Data Engineering, or a related technical field (or equivalent practical experience)
Required Experience:
  • Programming: Expert-level proficiency in Python (including packages like Pandas, NumPy, and familiarity with data engineering libraries).
  • Cloud & Infrastructure: Hands-on experience with at least one major cloud provider (AWS, Azure, or GCP, preferred Azure), including services related to computing, storage, and serverless functions (e.g., Azure Data Lake Storage (ADLS), Azure Compute VMs, Azure Functions).
  • Data Orchestration: Proven experience building and managing data workflows using an orchestration tool like Apache Airflow, Prefect, or Dagster.
  • Databases: Strong knowledge of SQL and experience working with both relational (e.g., PostgreSQL) and NoSQL databases.
  • Version Control: Proficient with Git and standard DevOps practices
  • Scientific Data Experience: Prior experience handling and processing complex, large-volume scientific data (e.g., mass spectrometry, chromatography, LIMS/ELN integration).
  • MLOps: Familiarity with MLOps platforms and tools such as Azure ML Studio, MLflow, Kubeflow, or Sagemaker.
  • Chemistry Domain: Basic understanding of analytical chemistry concepts, such as chromatography fundamentals (e.g., retention time, peak integration) and relevant file formats.
  • Authorization to work in the United States without restriction or sponsorship
  • Professional working proficiency in English is a requirement, including the ability to read, write and speak in English.

Required General Skills
  • Problem-Solving: Strong analytical and problem-solving skills with a focus on delivering high-quality, reproducible data solutions.
  • Communication: Excellent verbal and written communication skills, with the ability to bridge the gap between technical infrastructure, data science models, and chemical applications.

Additional Information
As a Eurofins employee, you will become part of a company that has received national recognition as a great place to work. We offer excellent full-time benefits including comprehensive medical coverage, life and disability insurance, 401(k) with company match, paid holidays, paid time off, and dental and vision options.
We support your development! Do you feel you don't match 100% of the requirements? Don't hesitate to apply anyway! Eurofins companies are committed to supporting your career development.
We embrace diversity! Eurofins network of companies believe in strength and innovation through diversity, being an Equal Opportunity Employer. We prohibit discrimination against employees or applications based on gender identity and/or expression, race, nationality, age, religion, sexual orientation, disability, and everything else that makes employees of Eurofins companies unique.
Sustainability matters to us! We are well on our way to achieving our objective of carbon neutrality by 2025, through a combination of emission reduction and compensation initiatives. We encourage our laboratory leaders to make sustainable changes at their local level, and in addition to their initiatives we also count on our dedicated carbon reduction team to help us to achieve this goal!
Find out more in our career page: https://careers.eurofins.com/
Eurofins USA Environment Testing is a Disabled and Veteran Equal Employment Opportunity employer.

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About Eurofins

Sourced by ZipRecruiter

Industry

Scientific research and development services, biotechnology research and development and environmental consulting services

Company size

10,000+ Employees

Headquarters location

Leacock, PA, US