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Data Engineer Jobs in Spring, TX (NOW HIRING)

LiteBridge

Data Engineer (Junior)

Houston, TX · Remote

LiteBridge connects talented data engineers with global opportunities by training them in Palantir Foundry and deploying them to leading companies in North America and Europe. We are building a ...

Guru Schools

Palantir Ontology Data Engineer

Spring, TX · On-site

$101.90K - $122.40K/yr

Palantir Ontology Data Engineer Position Responsibilities Job Title:- Palantir Ontology Data Engineer Location:- Spring Texas (On-Site) Job Type:- Long Term Contract Market rate Need Oil & Gas ...

Tyndale

Business Data Engineer II

Houston, TX · Hybrid

$109.30K - $131.30K/yr

The Business Data Engineer Level 2 collaborates with Supervisors or Level III Engineers on assigned projects, acting as a subject matter expert in one or more areas of expertise. The role also ...

Staffingine LLC

Drone Data Engineer

Houston, TX · On-site

$109.30K - $131.30K/yr

Drone Data Engineer Job Location: Houston, Tx Job Type: Contract * Drone Data Execution Engineer Skydio * Drone Operations Data Execution * Plan execute and optimize drone missions for inspection ...

swipejobs LLC

Data Engineer

Houston, TX · On-site

$80/hr

Design, develop, and maintain data pipelines and infrastructure to collect, process, and analyze large datasets. Implement ETL processes, optimize database performance, and ensure data quality and ...

Quanex Building Products

Senior Data Engineer

Houston, TX · On-site

$101.20K - $137.50K/yr

The Sr. Data Engineer is responsible for designing, building, and maintaining scalable data pipelines and architectures that support enterprise reporting, analytics, and integration needs. This role ...

New

Mustang Cat

Senior Data Engineer

Houston, TX · On-site

$101.20K - $137.50K/yr

Senior Data Engineer Snowflake, Semantic Layer & Enterprise Data Platform Mustang Cat is seeking a highly experienced Senior Data Engineer to design, own, and govern the enterprise data environment ...

Deloitte

AI Data Engineer - Manager

Houston, TX

$109.30K - $131.30K/yr

AI Data Engineer - Manager Our Human Capital practice is at the forefront of transforming the nature of work. As converging forces reshape industries, our team uniquely addresses the complexities of ...

Deloitte

AI Data Engineer Manager

Houston, TX

$109.30K - $131.30K/yr

AI Data Engineer Manager Position Summary Our Human Capital practice is at the forefront of transforming the nature of work. As converging forces reshape industries, our team uniquely addresses the ...

Alliance Technical Group

SR Data Engineer

Houston, TX · On-site +1

$109.30K - $131.20K/yr

Summary/Objective Alliance Technical Group is seeking an experienced Senior Data Engineer to design, build, and optimize the databases and data systems that power our business intelligence and ...

Cedent

Azure Data Engineer (Houston, TX)

Houston, TX · On-site

$109.30K - $131.30K/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 ...

CEDENT

Azure Data Engineer (Houston, TX)

Houston, TX

$109.30K - $131.30K/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 ...

Mwe

Pricing Data Engineer

Houston, TX · On-site

$110K - $169K/yr

The Pricing Data Engineer builds and maintains the data infrastructure and tools that enable consistent, data-driven pricing across the firm while modernizing workflows and reducing reliance on ...

BlueSprig

Senior Data Engineer

Houston, TX · On-site

$98.90K - $134.30K/yr

The Senior Data Engineer owns the design, implementation, and maintenance of our data architecture supporting clinical operations across 160+ ABA therapy clinics. This role builds the data foundation ...

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Data Engineer information

See Spring, TX salary details

$39.6K

$115.4K

$158K

How much do data engineer jobs pay per year?

As of May 29, 2026, the average yearly pay for data engineer in Spring, TX is $115,433.00, according to ZipRecruiter salary data. Most workers in this role earn between $101,900.00 and $122,400.00 per year, depending on experience, location, and employer.

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.

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.

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 are Data Engineers?

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 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.

More about Data Engineer jobs
What are the most commonly searched types of Data Engineer jobs in Spring, TX? The most popular types of Data Engineer jobs in Spring, TX are:
What are popular job titles related to Data Engineer jobs in Spring, TX? For Data Engineer jobs in Spring, TX, the most frequently searched job titles are:
What job categories do people searching Data Engineer jobs in Spring, TX look for? The top searched job categories for Data Engineer jobs in Spring, TX are:
What cities near Spring, TX are hiring for Data Engineer jobs? Cities near Spring, TX with the most Data Engineer job openings:
Data Engineer jobs near you
Databricks Data Engineer - Remote with Travel 25%

Databricks Data Engineer - Remote with Travel 25%

K Anand Corporation

Houston, TX • Remote

$109.30K - $131.30K/yr

Other

Posted 15 days ago

Job description

Role- Databricks Data Engineer

Work Location: Houston (TX)- Remote with Travel

Skills-

Data Engineer

We are seeking an Databricks Data Engineer who can play a crucial role in our Fintech data lake project.

What You Bring

- 4+ years of experience working in data warehousing systems

- 2+ strong hands-on programming expertise in Databricks landscape, including SparkSQL, Workflows for data processing and pipeline development

- 2+ strong hands-on data transformation/ETL skills using Spark SQL, Pyspark, Unity Catalog working in Databricks Medallion architecture

- 1+ yrs work experience in one of cloud platforms: Azure, AWS or Google Cloud Platform

- Good exposure to Git version control, and CI/CD best practices

- Experience in developing data ingestion pipelines from ERP systems (Oracle Fusion preferably) to a Databricks environment, using Fivetran or any alternative data connectors is a plus

- Experience in a fast-paced, ever-changing and growing environment

- Understanding of metadata management, data lineage, and data glossaries is a plus.

What You'll Do

- Involve in design and development of enterprise data solutions in Databricks, from ideation to deployment, ensuring robustness and scalability.

- Work with Sr. Data Engineer to build, and maintain robust and scalable data pipeline architectures on Databricks using PySpark and SQL

- Assemble and process large, complex ERP datasets to meet diverse functional and non-functional requirements.

- Involve in continuous optimization efforts, implementing testing and tooling techniques to enhance data solution quality

- Focus on improving performance, reliability, and maintainability of data pipelines.

- Implement and maintain PySpark and databricks SQL workflows for querying and analyzing large datasets

Qualifications

- Bachelors Degree in Computer Science, Engineering, Statistics, Finance or equivalent experience

- Good communication skills

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