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Data Engineer Jobs in Pasadena, TX (NOW HIRING)

NAVA Software Solutions

Sr. Data Engineer

Sugar Land, TX · On-site

$105K - $126K/yr

NAVA Software is looking for a Sr. Data Engineer Details: Sr. Data Engineer Location: Sugarland TX - 4 days/week onsite Duration: 12 months Design, develop, and support data engineering, data ...

EOG Resources, Inc.

Sr. Data Engineer

Houston, TX · On-site

$109K - $131K/yr

Use cloud-based architecture, containerization and streaming technologies, and Python, .NET, Node, Java and SQL to design, implement and support full life-cycle data engineering projects for current ...

CEDENT

Azure Data Engineer

Houston, TX

$109K - $131K/yr

Job Title:- Azure Data Engineer Location:- Spring Texas (On-Site) Need Only Local to Houston, TX Experience;- 10+ Years Responsibilities * Perform ETL, ELT operations and administration using modern ...

EOG Resources, Inc.

Sr. Data Engineer

Houston, TX · On-site

$109K - $131K/yr

Use cloud-based architecture, containerization and streaming technologies, and Python, .NET, Node, Java and SQL to design, implement and support full life-cycle data engineering projects for current ...

Trafigura

Data Engineer

Houston, TX · On-site

$109K - $131K/yr

Main purpose The Data Engineer will be responsible for building and maintaining the data integration infrastructure that underpins Trafigura's North American Gas and Power trading desk. Working ...

Trafigura Group Pte. Ltd.

Data Engineer

Houston, TX · On-site

$109K - $131K/yr

Main purpose The Data Engineer will be responsible for building and maintaining the data integration infrastructure that underpins Trafigura's North American Gas and Power trading desk. Working ...

Kforce Technology Staffing

Data Engineer

Spring, TX · On-site

$96K - $116K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Kforce has a client in Spring, TX that is seeking a Lead Data Engineer. Summary: We are looking for a hands-on technical lead responsible for solution architecture, delivery planning, estimations ...

EOG Resources, Inc.

Data Engineer II

Houston, TX · On-site

$109K - $131K/yr

Two (2) years of experience as Data Engineer, Database Engineer, Oracle Engineer, Systems Engineer, or Software Engineer. SPECIAL REQUIREMENTS: Experience using SQL, .Net, Python, Node and Java in ...

EOG Resources, Inc.

Data Engineer II

Houston, TX · On-site

$109K - $131K/yr

Two (2) years of experience as Data Engineer, Database Engineer, Oracle Engineer, Systems Engineer, or Software Engineer. SPECIAL REQUIREMENTS: Experience using SQL, .Net, Python, Node and Java in ...

Bespoke Labs

Data Engineer

Houston, TX · On-site

$109K - $131K/yr

Must-Have Skills 3+ years of data engineering experience -- pipelines, ETL, data modeling in production or research settings Strong Python proficiency (numpy, pandas, Parquet, HDF5 are daily tools ...

EOG Resources, Inc.

Data Engineer II

Houston, TX · On-site

$109K - $131K/yr

Two (2) years of experience as Data Engineer, Database Engineer, Oracle Engineer, Systems Engineer, or Software Engineer. SPECIAL REQUIREMENTS: Experience using SQL, .Net, Python, Node and Java in ...

Kforce Technology Staffing

Data Engineer

Spring, TX · On-site

$96K - $116K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Kforce has a client in Spring, TX that is seeking a Data Engineer. Key Tasks: * Responsible for designing and developing scalable data pipelines * Converting and refactoring legacy ETL and SQL ...

Kforce Technology Staffing

Data Engineer

Spring, TX · On-site

$96K - $116K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Kforce has a client in Spring, TX that is seeking a Data Engineer. Key Tasks: * Responsible for pipeline development * DBT model conversion * Refactoring * Accelerating delivery through reusable ...

Kforce Technology Staffing

Data Engineer

Spring, TX · On-site

$96K - $116K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Kforce has a client in Spring, TX that is seeking a Data Engineer. Key Tasks: * Responsible for building and maintaining ingestion * Routinely partners with QA to define testing criteria for data ...

Guidehouse

Data Engineer Lead

Houston, TX · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

Guidehouse is seeking a Data Engineer Lead to lead the design, development, and modernization of enterprise data platforms, analytics ecosystems, and cloud-native data solutions. This role serves as ...

HCL Global Systems Inc

Palantir Data Engineer

Spring, TX · On-site

$101K - $122K/yr

HCL Global Systems Inc is seeking a Palantir Data Engineer to help build tools that optimize investment and operational decisions in a scalable carbon capture system. The role involves implementing ...

mBridge Solutions

Sr. Data Engineer

Houston, TX

$105K - $127K/yr

Senior Data Engineer \n \n \n Contract: 12 months plus \n \n \n Location: Houston, TX \n \n \n \n \n \n N ote: Only Houston, TX candidates \n \n \n \n \n \n \- Responsibilities: \n \n \n \-Build ...

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Showing results 21-40

All JobsData Engineer JobsData Engineer Jobs in Pasadena, TX

Data Engineer information

See Pasadena, TX salary details

$40.7K

$118.5K

$162.2K

How much do data engineer jobs pay per year?

As of Aug 19, 2026, the average yearly pay for data engineer in Pasadena, TX is $118,524.00, according to ZipRecruiter salary data. Most workers in this role earn between $104,600.00 and $125,600.00 per year, depending on experience, location, and employer.

What is a data engineer?

Data Engineers are IT professionals who design, construct, install, and maintain large-scale processing systems and other infrastructure for collecting, storing, and analyzing data. They build and optimize data pipelines and architectures that allow organizations to efficiently access and use data for business insights. Data Engineers work closely with data scientists, analysts, and other stakeholders to ensure that data is reliable, accessible, and secure. Their responsibilities often include working with databases, cloud platforms, and big data tools.

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 strong background in computer science, data modeling, and programming languages such as Python or Java, often coupled with a relevant degree. Familiarity with ETL tools, big data frameworks (like Hadoop or Spark), and cloud platforms (such as AWS or Azure) is typically required, along with certifications like AWS Certified Data Analytics. Strong problem-solving skills, attention to detail, and effective communication set exceptional data engineers apart. These skills and qualities are essential for building robust data pipelines, ensuring data quality, and supporting data-driven decision-making across organizations.

What does a data engineer do?

The job duties of a data engineer involve helping with the development of systems, software, and infrastructure used to process, store and analyze data. Your responsibilities in this career include working to install data management software. Your employer may expect you to perform maintenance and install updates to all software and systems that they use for data acquisition, management, and analysis. Data engineers also analyze existing data systems to find ways to improve efficiency and accessibility. You then suggest upgrades or changes based on your assessment.

How do data engineers typically collaborate with data scientists and analysts within an organization?

Data Engineers play a crucial role in ensuring that Data Scientists and Analysts have reliable, well-structured data for their projects. This collaboration often involves building and maintaining data pipelines, optimizing data storage solutions, and troubleshooting data quality issues. Regular communication and agile teamwork are common, with Data Engineers frequently participating in meetings to understand analytical requirements and adjust data processes accordingly. By working closely together, these teams can quickly iterate on data models and deliver actionable insights to drive business decisions.

What is the difference between Data Engineer vs Data Scientist?

AspectData EngineerData Scientist
Primary FocusBuilding and maintaining data pipelines and infrastructureAnalyzing data to extract insights and create models
SkillsSQL, ETL, programming (Python, Java), database managementStatistics, machine learning, data analysis, programming (Python, R)
Work EnvironmentData warehouses, cloud platforms, backend systemsData analysis environments, research labs, visualization tools
Common ToolsApache Spark, Hadoop, Airflow, SQLJupyter, RStudio, Tableau, scikit-learn

Data Engineers focus on creating and maintaining the infrastructure that allows data to be collected, stored, and processed efficiently. Data Scientists analyze this data to generate insights, build predictive models, and support decision-making. While their skills overlap, Data Engineers are more involved in data pipeline development, whereas Data Scientists focus on data analysis and modeling.

Is a data engineer entry level?

Data engineering is typically an intermediate to senior-level role that requires experience with programming, databases, and data pipeline tools. Entry-level positions may be available for those with relevant internships or strong foundational skills, but most data engineering roles demand several years of experience or advanced knowledge of tools like SQL, Python, and cloud platforms.

What is the role of a data engineer?

A data engineer designs, builds, and maintains data pipelines and infrastructure to collect, process, and store large volumes of data. They work with tools like SQL, Python, and cloud platforms to ensure data is accessible and reliable for analysis and decision-making.
More about Data Engineer jobs

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

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

What job categories do people searching Data Engineer jobs in Pasadena, TX look for?

The top searched job categories for Data Engineer jobs in Pasadena, TX are:

What cities near Pasadena, TX are hiring for Data Engineer jobs?

Cities near Pasadena, TX with the most Data Engineer job openings:

Data Engineer jobs near you
Infographic showing various Data Engineer job openings in Pasadena, TX as of August 2026, with employment types broken down into 1% As Needed, 88% Full Time, 9% Part Time, and 2% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $118,524 per year, or $57 per hour.

Sr. Data Engineer

NAVA Software Solutions

Sugar Land, TX • On-site

$105K - $126K/yr

Full-time

This job post has expired today. Applications are no longer accepted.

Job description

NAVA Software is looking for a Sr. Data Engineer
Details:
Sr. Data Engineer
Location: Sugarland TX - 4 days/week onsite
Duration: 12 months
Design, develop, and support data engineering, data modeling, and data integrations, with a primary focus on accelerating data landing and curation in a Databricks data lake house. Build and maintain reliable, well-governed pipelines that ingest data from source systems into the lake house and curate it through a layered (medallion) architecture into analytics-ready, trusted datasets. The role also carries a strong reporting and data-analysis focus - partnering with business users to build semantic data models, dashboards, and reports, and performing hands-on analysis to answer business questions. The Data Engineer will help establish the data foundation that powers data-related AI and machine learning initiatives, ensuring high-quality, well-documented, AI-ready data products.
Key Responsibilities
  • Build, optimize, and support pipelines that land data from source systems into the Databricks lake house and curate it through a layered (medallion) architecture into trusted, analytics-ready datasets.
  • Produce and maintain high-quality, well-governed, documented, AI-ready data products that serve as the foundation for AI and machine learning initiatives.
  • Implement data quality, governance, and monitoring controls (e.g., Unity Catalog, automated testing, alerting) across lake house pipelines.
  • Develop and maintain reporting and analytics solutions - semantic data models, dashboards, and reports - and perform ad-hoc querying to support business decision-making.
  • Gather requirements, design, and develop new data integrations or enhancements to existing code.
  • Partner with business users and the Business Relationship Management team on requirements gathering, testing, and supporting existing integrations, analytics, and reporting.
  • Create and maintain documentation and process flows for integration solutions.

Required Experience & Skills
  • Minimum 5 years of IT/technology experience spanning data analysis, data engineering, and/or data integration, with a focus on building and curating pipelines in a cloud data lake or lake house environment.
  • At least 3 years writing SQL/NoSQL queries, with specific experience in MS SQL Server, Oracle, and/or Postgres.
  • Hands-on experience with a modern cloud data platform / lake house (Databricks, Microsoft Fabric, Snowflake, or comparable). Databricks strongly preferred.
  • Demonstrated experience landing data from diverse source systems into a lake/lake house and curating it through a medallion (bronze-silver-gold) architecture into clean, conformed, analytics-ready datasets.
  • Strong Python skills for data engineering, including PySpark.
  • Working knowledge of data quality, data governance, and pipeline reliability practices - automated testing, monitoring, alerting, and orchestration of batch and incremental/streaming workloads.
  • Experience designing simplified data models for integrations, analytics, and reporting; comfortable performing hands-on data analysis and ad-hoc querying.
  • Experience extracting data from source systems via web services (SOAP, REST, Web APIs), XML, and CSV/Excel exports.
  • Experience building the data foundation and automation pipelines for analytics and AI/ML initiatives, and partnering with business users on LLM/GenAI use cases.
  • Bachelor's degree in Information Systems, IT, or a related technical discipline - or equivalent demonstrated technical proficiency.
  • Strong interpersonal and communication skills; fluent in English (oral and written).

Preferred / Nice-to-Have
  • Python, cloud data warehouse experience (e.g., Snowflake, Synapse), Spark SQL
  • Performance tuning, partitioning, and optimization.
  • Modern LLM architectures and GenAI frameworks - retrieval-augmented generation (RAG), embeddings and vector databases, prompt orchestration, and integrating LLMs into data products and pipelines.
  • Familiarity with using LLMs in automation development and with vector/embedding data.
  • Experience in the Oil & Gas domain.
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About NAVA Software Solutions

Sourced by ZipRecruiter

NAVA is a strategic partner for companies seeking to develop or customize software and products. Our team of experts leverages cutting-edge technology and deep industry knowledge to provide customized solutions that drive business success. Whether you're looking to improve your operations, increase efficiency, or bring a new product to market, NAVA has the expertise and resources to help you achieve your goals. Trust us to be your partner in software and product development.

Industry

It services

Company size

51 - 200 Employees

Headquarters location

Rocky Hill, CT, US

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