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Data Engineer Data Jobs in Bryan, TX (NOW HIRING)

Varsity Tutors

Data Science Tutor

College Station, TX · Remote

$18 - $40/hr

Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning, data visualization, SQL, Python or R programming, hypothesis testing, and communication of data ...

Varsity Tutors

Data Science Tutor

Bryan, TX · Remote

$18 - $40/hr

Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning, data visualization, SQL, Python or R programming, hypothesis testing, and communication of data ...

Emerson

Quality Engineer

Brenham, TX

$60K - $78K/yr

Lead quality improvement projects and preventive actions based on data and trends. Leadership and Collaboration * Work closely with Manufacturing Engineering and Operations to implement sustainable ...

Emerson Group

Quality Engineer

Brenham, TX · On-site

$60K - $78K/yr

Lead quality improvement projects and preventive actions based on data and trends. Leadership and Collaboration * Work closely with Manufacturing Engineering and Operations to implement sustainable ...

Emerson

Quality Engineer

Brenham, TX

$60K - $78K/yr

Lead quality improvement projects and preventive actions based on data and trends. Leadership and Collaboration * Work closely with Manufacturing Engineering and Operations to implement sustainable ...

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All JobsData Engineer Data JobsData Engineer Data Jobs in Bryan, TX

Data Engineer Data information

See Bryan, TX salary details

$42.4K

$152.2K

$224.5K

How much do data engineer data jobs pay per year?

As of Jul 30, 2026, the average yearly pay for data engineer data in Bryan, TX is $152,160.00, according to ZipRecruiter salary data. Most workers in this role earn between $123,100.00 and $156,800.00 per year, depending on experience, location, and employer.

What are some common challenges Data Engineers face when integrating data from multiple sources?

Data Engineers often encounter challenges such as inconsistent data formats, varying data quality, and differing update frequencies when integrating data from multiple sources. Ensuring data integrity and designing robust ETL pipelines that can handle these discrepancies is a key part of the role. Collaboration with data analysts, database administrators, and source system owners is crucial to resolve data mapping issues, automate data validation, and maintain reliable data flows within the organization.

What is the difference between Data Engineer Data vs Data Analyst?

AspectData Engineer DataData Analyst
Primary RoleBuilds and maintains data pipelines and infrastructureAnalyzes data to generate insights and reports
Skills & CertificationsSQL, Python, ETL tools, cloud platformsSQL, Excel, data visualization tools
Work EnvironmentData engineering teams, IT departmentsBusiness units, analytics teams
Industry UsageTech, finance, healthcare, any data-driven industryMarketing, finance, operations, business intelligence

While Data Engineer Data focuses on creating and managing data infrastructure, Data Analysts interpret this data to support decision-making. Both roles require strong SQL skills, but Data Engineers typically work more with data pipelines and cloud platforms, whereas Data Analysts focus on data visualization and reporting.

What are the key skills and qualifications needed to thrive as a Data Engineer, and why are they important?

To thrive as a Data Engineer, you need a solid understanding of data modeling, SQL, and programming languages such as Python or Java, often backed by a degree in computer science, engineering, or a related field. Familiarity with data warehousing solutions (like Amazon Redshift or Snowflake), ETL tools, and cloud platforms (such as AWS, Azure, or Google Cloud) is typically required, along with relevant certifications. Strong problem-solving abilities, collaboration, and clear communication are vital soft skills for integrating complex data systems and working with cross-functional teams. These skills ensure that data pipelines are reliable, scalable, and effectively support business intelligence and analytics needs.

What are Data Engineers?

Data Engineers are professionals who design, build, and maintain the systems and infrastructure that allow organizations to collect, store, and analyze large amounts of data. They create data pipelines, ensure data quality, and optimize data flow between systems, making it accessible for data scientists and analysts. Data Engineers often work with technologies like SQL, Python, Hadoop, and cloud platforms, and play a crucial role in supporting data-driven decision-making within organizations.
What are popular job titles related to Data Engineer Data jobs in Bryan, TX? For Data Engineer Data jobs in Bryan, TX, the most frequently searched job titles are:
What job categories do people searching Data Engineer Data jobs in Bryan, TX look for? The top searched job categories for Data Engineer Data jobs in Bryan, TX are:
What cities near Bryan, TX are hiring for Data Engineer Data jobs? Cities near Bryan, TX with the most Data Engineer Data job openings:
Data Engineer Data jobs near you

Senior Data Engineer (Python and Palantir)

MM International

Lyons, TX • On-site

$82K - $99K/yr

Contractor

Re-posted 8 days ago

Job description

Job Title:- Senior Data Engineer (Python and Palantir)
Location:- Spring, TX 77389 (On-Site)
Job Type:- Long Term Contract
Could be On-Site Interview
Oil & gas experience is preferred
 
Job Overview:

  • As part of the CCS100 Fusion Team, help build tools that optimize investment and operational decisions in the world-class, scalable carbon capture system that the client is building on the US Gulf Coast.
  • Implement the data layer of the CCS100 application using the Palantir Foundry platform, revising the current design implemented in other technologies.
  • Serve as a knowledge resource regarding Palantir tools for the rest of the CCS100 team.

Key Responsibilities:

  • Quickly come up to speed on the current data organization of the CCS100 product, converting that data model into a Palantir Ontology representation
  • Give suggestions and recommendations on changes to the data model that would improve performance, extensibility, or flexibility of the Palantir solution
  • Set up ingestion and export relationships from the Ontology into other data sources or data stores, ensuring reliability and performance of the connection
  • Implement validations and transforms of the Ontology data as required, taking full advantage of Foundry platform capabilities
  • Create examples or write interface code that will ease connection to Ontology data from other parts of our system

Qualifications:

  • Bachelor’s degree in computer science, engineering, quantitative sciences, or mathematics; alternatively significant practical software project experience
  • Multiple years of experience in building data-heavy applications and/or working as a data engineer
  • Demonstrated proficiency and experience with building applications in Palantir Foundry with focuse on data modeling and utilization of Ontology Manager tool
  • Experienced with using Python to process or transform data
  • Strong analytical thinking skills with ability to assimilate software architectures and data designs quickly
  • Adaptability to rapidly changing priorities and an ability to deliver work on time
  • Good technical communication and collaboration skills; experience working in Agile teams

Preferred Qualification:a

  • Broad experience in other Palantir Foundry tools (e.g. Workshop, Quiver, etc.)

Top 3 Skill Sets/Technologies Required for Qualification:

  • Strong Data Engineering skills and ability to build complex applications applying data science concepts
Palantir Foundry with focus on data modeling and utilization of Ontology Manager tool