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

Data Engineer

Houston, TX · On-site

$109K - $131K/yr

We are seeking a skilled and motivated Data Engineer to design, build, and maintain scalable data ... Collaborate with Data Analysts, Data Scientists, Product Managers, and business stakeholders to ...

Data Analytics Engineer

Houston, TX · On-site

$109K - $131K/yr

... developer, data analyst, or similar) with hands-on SQL work -- comfortable with CTEs, window functions, and reading/writing complex, multi-source views. * Solid Power BI experience beyond report ...

Data Analytics Engineer

Houston, TX · On-site

$130K - $140K/yr

... developer, data analyst, or similar) with hands-on SQL work -- comfortable with CTEs, window functions, and reading/writing complex, multi-source views. · Solid Power BI experience beyond report ...

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 ...

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 ...

Data Engineer

Houston, TX · On-site

$109K - $131K/yr

Data Engineer Location: Houston, TX - Hybrid, 3 days onsite Worksite: Houston, Texas Job Summary ... Strong analytical, troubleshooting, problem-solving, and communication skills. * Ability to ...

Posted today

Data Engineer III

The Woodlands, TX · On-site

$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 ...

We are seeking a Principal Data Engineer to lead the architecture, design, and delivery of modern data platforms and analytics solutions for clients. This is a hands‑on technical leadership role ...

Data Engineer III

The Woodlands, TX · On-site

$102K - $122K/yr

DayData Engineer Department: Data TechnologyJob Status: Full TimeFLSA Status: Salary ExemptReports ... Continuously evaluate and adopt new data management and analytics technologies. * Educate and ...

We are seeking a Principal Data Engineer to lead the architecture, design, and delivery of modern data platforms and analytics solutions for clients. This is a hands-on technical leadership role for ...

Data Engineer

Houston, TX · On-site

$86K - $103K/yr

Data Engineer Region 4 Education Service Center REGION 4 ESC - HOUSTON, Texas Open in Google Maps ... Design, build, and maintain scalable cloud-based data platforms, analytics pipelines, and business ...

Validate data accuracy, perform root cause analysis, and partner with engineering teams to resolve inconsistencies * Establish best practices for dashboard design, metric definitions, and ...

Public Health Data Engineer

Houston, TX

$109K - $131K/yr

Data Science & Analysis Travel Required: Up to 10% Clearance Required: Ability to Obtain Public Trust What You Will Do: Guidehouse seeks a Data Engineer to support the development, maintenance, and ...

Validate data accuracy, perform root cause analysis, and partner with engineering teams to resolve inconsistencies * Establish best practices for dashboard design, metric definitions, and ...

Showing results 21-40

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 Sep 11, 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.

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.

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 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.

Can a data analyst work as a data engineer?

A data analyst can transition to a data engineer role by developing skills in data pipeline development, database management, and programming languages like Python or SQL. While data analysts focus on data interpretation and reporting, data engineers build and maintain data infrastructure, often requiring knowledge of tools such as Apache Spark, Hadoop, or cloud platforms. Gaining experience with these technologies and earning relevant certifications can facilitate the switch between roles.

What are popular job titles related to Data Engineer Data Analyst jobs in Spring, TX?

For Data Engineer Data Analyst jobs in Spring, TX, the most frequently searched job titles are:

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:

Infographic showing various Data Engineer Data Analyst job openings in Spring, TX as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 12% Part Time, and 3% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $73,541 per year, or $35.4 per hour.

Data Engineer

Houston, TX • On-site

$109K - $131K/yr

Other

Medical, Dental, Vision, PTO

Re-posted 29 days ago


Job description

Benefits
  • Dental insurance
  • Health insurance
  • Paid time off
  • Training & development
  • Vision insurance
About Rysun Labs

Rysun Labs (formerly KCS – Krish Compusoft Services) is an AI, Data & Digital innovation partner of choice for enterprises. Rysun guides and accelerates the AI & Data strategy and Digital Transformation programs for Fortune 2000 enterprises and product startups to shape remarkable customer experiences and intelligent operations. The team delivers innovative, specialized solutions that help High-tech, Retail & Ecommerce, and Energy companies to outperform competition and lead the change in their industry. Rysun partners with Microsoft, Google and AWS to bring the best of enterprise technology to its customers. Rysun believes in quality-first and is CMMI Level 5, ISO 9001 & 27001 certified. The team has a growth mindset fueled by a strong culture of collaboration that unifies its global teams across US, UK, India & South Africa (a proud Level 2 B-BBEE Contributor).

Job Description

We are seeking a skilled and motivated Data Engineer to design, build, and maintain scalable data pipelines and data platforms that support business intelligence, analytics, and data-driven decision-making. The ideal candidate will have strong experience in data engineering, cloud technologies, ETL/ELT development, and data warehousing, along with a passion for delivering high-quality data solutions.

Job Title

Data Engineer

Location

Houston, TX

Experience

4–7 Years

Key Responsibilities
  • Design, develop, and maintain scalable ETL/ELT pipelines for structured and unstructured data.
  • Build and optimize data integration workflows from multiple data sources.
  • Develop and manage data warehouses, data lakes, and cloud-based data platforms.
  • Collaborate with Data Analysts, Data Scientists, Product Managers, and business stakeholders to understand data requirements.
  • Ensure data quality, integrity, governance, and security across enterprise systems.
  • Optimize SQL queries, database performance, and data processing workflows.
  • Monitor and troubleshoot data pipeline issues and implement performance improvements.
  • Support reporting, analytics, and machine learning initiatives by providing reliable datasets.
  • Implement data validation, monitoring, and automation processes.
  • Participate in Agile development processes and technical design discussions.
Required Skills & Experience
  • 4–7 years of experience in Data Engineering or related roles.
  • Strong expertise in SQL and database design concepts.
  • Hands‑on experience with ETL/ELT tools and data integration frameworks.
  • Experience with cloud platforms such as AWS, Azure, or GCP.
  • Strong knowledge of Data Warehousing, Data Modeling, and Data Lake architectures.
  • Proficiency in Python, PySpark, or Scala for data processing.
  • Experience with Big Data technologies such as Spark, Databricks, Hadoop, or Kafka.
  • Knowledge of CI/CD, version control (Git), and automation best practices.
  • Strong analytical, problem-solving, and communication skills.
Preferred Qualifications
  • Experience with Databricks, Snowflake, Redshift, Synapse, or BigQuery.
  • Familiarity with data governance, metadata management, and data quality frameworks.
  • Exposure to real-time data processing and streaming technologies.
  • Experience working in Agile/Scrum environments.
Certifications

Databricks Certified Data Engineer Associate/Professional

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