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Data Engineer Data Analyst Jobs in Spring, TX (NOW HIRING)

Rysun Labs Inc

Data Engineer

Houston, TX · On-site

$60/hr

Data Engineer Location: Houston Tx Experience: 47 Years Mandatory Certification: * Databricks ... Collaborate with Data Analysts, Data Scientists, Product Managers, and business stakeholders to ...

Insolation Technology Ltd

Data Analyst

Houston, TX · On-site +1

$21 - $26/hr

We are seeking a motivated and detail-oriented Data Analyst to join our team at Insolation Technology LTD , an established engineering consulting firm. The Data Analyst will be responsible for ...

NAVA Software Solutions

Principal Data Engineer

Houston, TX · On-site

$106K - $127K/yr

Houston, TX - 4 days/week onsite Duration: Full time / Direct Hire The Principal Data Engineer within the Data Science and Analytics team, plays a crucial role in architecting, implementing, and ...

Avenue Code, LLC

Data Engineer

Houston, TX · On-site

$109K - $131K/yr

Data Engineer Houston, TX Contract As a Data Engineer, you will contribute to the BI development to ... Analytics , DataBricks , and Microsoft Fabric . * Develop and optimize data models and ...

Kanak Elite Services Inc

Data Engineer

Houston, TX · On-site

$109K - $131K/yr

Expert-level SQL development and data analysis skills, including advanced query optimization and debugging. * Strong Python engineering skills and familiarity with software design principles and ...

Beusa Energy Group

Data Engineer III

The Woodlands, TX

$104K - $125K/yr

Data Engineering Supervisor Location: The Woodlands, TX Amount of Travel Required: 5-10% Work ... Continuously evaluate and adopt new data management and analytics technologies. * Educate and ...

Howard Hughes

Sr. Data Engineer

The Woodlands, TX

$104K - $125K/yr

You will partner with business stakeholders, analysts, application teams, and infrastructure ... Engineer data solutions using Microsoft Fabric * Design and implement Lakehouse/Warehouse ...

NRG Energy

Data Engineer

Houston, TX · On-site

$109K - $131K/yr

The Data Engineer role involves building and maintaining data pipelines and platforms to support analytics and reporting within contact center operations, ensuring reliable data ingestion and ...

Drunix Solution Inc

Snowflake Data Engineer

Houston, TX · On-site

$109K - $131K/yr

The Data Engineer will help create trusted, reusable data assets that support applications, analytics, AI, and business intelligence use cases. Key Responsibilities Design, build, and maintain ...

INSPYR Solutions

Data Engineer

Spring, TX · On-site

$70 - $85/hr

Collaborate with analysts and BI developers to ensure data models are optimized for tools like Power BI. * Troubleshoot & Optimize: Monitor and resolve issues in data pipelines and models. Ensure ...

Direct Energy Business

Data Engineer

Houston, TX · On-site

$109K - $131K/yr

The Data Engineer role involves building and maintaining data pipelines and platforms for analytics and data science initiatives, ensuring reliable data ingestion and transformation to enhance ...

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Showing results 1-20

All JobsData Engineer Data Analyst JobsData Engineer Data Analyst Jobs in Spring, TX

Data Engineer Data Analyst information

See Spring, TX salary details

$30.3K

$73.5K

$121K

How much do data engineer data analyst jobs pay per year?

As of Jul 13, 2026, the average yearly pay for data engineer data analyst in Spring, TX is $73,541.00, according to ZipRecruiter salary data. Most workers in this role earn between $55,600.00 and $86,300.00 per year, depending on experience, location, and employer.

What engineers make $500,000?

Senior data engineers with extensive experience, advanced skills in cloud platforms, big data tools, and strong programming knowledge can earn $500,000 or more annually, especially in high-cost-of-living areas or within large tech companies. Achieving this level often requires specialized expertise, leadership roles, and sometimes stock options or bonuses.

How do Data Engineer Data Analysts typically collaborate with data scientists and business stakeholders?

Data Engineer Data Analysts play a crucial role in bridging the technical and analytical needs of an organization. They work closely with data scientists by preparing, cleaning, and structuring large datasets to enable advanced analytics and modeling. Additionally, they collaborate with business stakeholders to understand data requirements, translate business questions into technical solutions, and deliver actionable insights. Effective communication and teamwork are essential, as the role often involves facilitating data access, ensuring data quality, and aligning data projects with business objectives.

Is a data engineer the same as a data analyst?

A data engineer designs, builds, and maintains data pipelines and infrastructure, focusing on data collection and storage. A data analyst interprets and analyzes data to generate insights and reports. While both roles work with data, they have different skill sets and responsibilities, often requiring knowledge of tools like SQL, Python, or cloud platforms.

What pays more, a data engineer or a data analyst?

Data engineers typically earn higher salaries than data analysts due to their advanced skills in building data pipelines, working with big data tools, and managing infrastructure. While salaries vary by experience and location, data engineering roles often require knowledge of programming languages like Python or Java and cloud platforms, which contribute to higher compensation.

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

To thrive as a Data Engineer/Data Analyst, you need strong analytical and statistical skills, proficiency in programming languages like Python or SQL, and typically a degree in computer science, statistics, or a related field. Familiarity with data warehousing tools, ETL processes, and experience with platforms like Hadoop, Spark, or Tableau is often required. Attention to detail, problem-solving ability, and effective communication are crucial soft skills for interpreting data and sharing insights with stakeholders. These competencies ensure accurate data management, insightful analysis, and support data-driven decision-making within organizations.

What does a data engineer analyst do?

A data engineer analyst designs, builds, and maintains data pipelines and infrastructure to collect, store, and process large datasets. They work with tools like SQL, Python, and cloud platforms to ensure data quality and accessibility for analysis, often collaborating with data scientists and business teams.

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

AspectData EngineerData Scientist
Required CredentialsBachelor's in CS, Engineering, or related; often certifications in cloud or data toolsBachelor's or higher in CS, Statistics, or related; often advanced degrees
Work EnvironmentBuilds data pipelines, manages databases, ensures data flowAnalyzes data, creates models, interprets insights
Employer & Industry UsageTech companies, finance, healthcare, e-commerceResearch firms, tech, finance, marketing

Data Engineers focus on developing and maintaining data infrastructure, while Data Scientists analyze data to generate insights. Both roles require strong technical skills, but Data Engineers are more involved in data architecture, whereas Data Scientists focus on modeling and analysis.

What job categories do people searching Data Engineer Data Analyst jobs in Spring, TX look for? The top searched job categories for Data Engineer Data Analyst jobs in Spring, TX are:
What cities near Spring, TX are hiring for Data Engineer Data Analyst jobs? Cities near Spring, TX with the most Data Engineer Data Analyst job openings:
Data Engineer Data Analyst jobs near you
Infographic showing various Data Engineer Data Analyst job openings in Spring, TX as of July 2026, with employment types broken down into 1% Locum Tenens, 1% Internship, 83% Full Time, 10% Part Time, 1% Temporary, and 4% Contract. Highlights an 81% Physical, 5% Hybrid, and 14% Remote job distribution, with an average salary of $73,541 per year, or $35.4 per hour.
IT - Principal Consultant | Energy Oil & Gas - Upstream | E&P Data Management

IT - Principal Consultant | Energy Oil & Gas - Upstream | E&P Data Management

Spruce Infotech

Houston, TX • On-site

Full-time

Re-posted 10 days ago

Job description

Job Title: Principal Consultant | Databricks
Work Location & Reporting Address: Houston, TX 77006 - Hybrid Onsite (10 days onsite in a month)
Do you consider candidate/s who are willing to relocate? Yes
XXX
Contract duration: 6 months
Target Start Date: 01 May 2026
Does this position require Visa independent candidates only? Yes
Interview Process (Is face to face required?) Infosys and Client interview are both video interviews.
Job Details:
Minimum years of experience required: 8+ years
Certification needed: Not mandatory
Must Have Skills:
• Databricks
• Cloud and Data Platform Architechture
• Stakeholder management
Nice to Have Skills:
• Data Warehousing
• DevOPs
Detailed Job Description:
Job Summary:
We are seeking a skilled Data Engineer / Data Analyst with strong hands-on experience in Databricks, SQL, and Oracle E-Business Suite (EBS). The role involves designing and maintaining data pipelines, performing advanced data analysis, and enabling enterprise analytics by integrating ERP data with modern cloud platforms.
Key Responsibilities:
• Design and develop scalable data pipelines using Databricks (Apache Spark) and Delta Lake.
• Write and optimize complex SQL queries for data processing and analysis.
• Work hands-on with Oracle EBS R12 data models across Finance, PTP, and OTC modules.
• Perform data extraction, transformation, validation, and reconciliation.
• Support reporting and analytics requirements for business stakeholders.
• Collaborate with cross-functional teams and follow data governance best practices.
Required Skills:
• Strong hands-on experience with Databricks and Apache Spark.
• Advanced SQL expertise.
• Solid experience with Oracle EBS R12 database schema.
• Strong understanding of ERP business processes.
• Excellent analytical and communication skills.
Preferred Skills:
• Experience with cloud platforms (AWS, Azure, or GCP).
• Exposure to BI tools such as Power BI or Tableau.
• Knowledge of Python or PySpark.
• Understanding of data governance and security standards.
Soft Skills:
• Strong problem-solving abilities.
• Ability to work independently and in cross-functional teams.
• Good stakeholder communication and documentation skills.

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