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Cloud Data Engineer Entry Level Jobs in Texas (NOW HIRING)

Engineer

Irving, TX ยท On-site

$70K - $80K/yr

Data Engineer We are seeking a highly skilled and motivated Data Engineer to play a pivotal role in ... Deploy, manage, and scale critical data infrastructure components on leading cloud platforms such ...

Engineer

Dallas, TX ยท On-site

$70K - $80K/yr

Data Engineer We are seeking a highly skilled and motivated Data Engineer to play a pivotal role in ... Deploy, manage, and scale critical data infrastructure components on leading cloud platforms such ...

Engineer

Irving, TX ยท On-site

$120K - $130K/yr

Data Engineer We are seeking a highly skilled and motivated Data Engineer to play a pivotal role in ... Deploy, manage, and scale critical data infrastructure components on leading cloud platforms such ...

Snowflake Data Engineer

Plano, TX ยท On-site

$109K - $131K/yr

Cloud & Data Warehousing Fundamentals * Basic understanding of cloud platforms (AWS, Azure, or GCP ... Engineering services include Data Translation, CAD/CAM/CAE, Process & Product Engineering ...

Snowflake Data Engineer

Plano, TX ยท On-site

$109K - $131K/yr

Cloud & Data Warehousing Fundamentals * Basic understanding of cloud platforms (AWS, Azure, or GCP ... Engineering services include Data Translation, CAD/CAM/CAE, Process & Product Engineering ...

Data Engineer

Dallas, TX ยท On-site +1

$115K - $130K/yr

As a Data Engineer, you will be part of a talented team of engineers responsible for the deployment and configuration of cloud resources to meet individual client business needs in AWS. Client ...

Data Engineer II

Austin, TX ยท On-site

$113K - $136K/yr

Data Engineer II ---- Hiring Department: Dell Medical School ---- Position Open To: All Applicants ... Develops and enhances the underlying data infrastructure using SQL and cloud technologies to ensure ...

Developer

Irving, TX ยท On-site

$100K - $130K/yr

Relevant professional cloud certifications (e.g., AWS Certified Data Engineer, Microsoft Certified: Azure Data Engineer Associate) are highly valued Salary Range: $100,000 to $130,000 per year

Data Systems Engineer

Austin, TX ยท On-site

$115K - $138K/yr

This role requires deep technical expertise in cloud-native data engineering including pipeline development, data modeling, and platform optimization, within Central Health's Snowflake and Azure ...

Data Systems Engineer

Austin, TX ยท On-site

$115K - $138K/yr

This role requires deep technical expertise in cloud-native data engineering including pipeline development, data modeling, and platform optimization, within Central Health's Snowflake and Azure ...

Data Systems Engineer

Austin, TX ยท On-site

$115K - $138K/yr

This role requires deep technical expertise in cloud-native data engineering including pipeline development, data modeling, and platform optimization, within Central Health's Snowflake and Azure ...

Data Engineer

Houston, TX

$109K - $131K/yr

The Data Engineer, within the Data & AI team, designs, builds, and operates the pipelines, models ... Experience with cloud data warehousing on Snowflake (or equivalent: BigQuery, Redshift, Databricks ...

Data Systems Engineer

Austin, TX

$115K - $138K/yr

This role requires deep technical expertise in cloud-native data engineering including pipeline development, data modeling, and platform optimization, within Central Health's Snowflake and Azure ...

Data Engineer

Houston, TX ยท On-site

$109K - $131K/yr

The Data Engineer, within the Data & AI team, designs, builds, and operates the pipelines, models ... Experience with cloud data warehousing on Snowflake (or equivalent: BigQuery, Redshift, Databricks ...

Data Engineer

Lewisville, TX ยท On-site

$75K - $93K/yr

You will work closely with relational databases, cloud data warehouses, and modern orchestration ... Experience: 1-3 years in data engineering, analytics engineering, or a data-heavy technical role.

Big Data Engineer - Sr

Plano, TX ยท On-site

$53.50 - $71/hr

AWS cloud services * Collaborate in Agile teams * Participate in standups * Support enterprise-scale migration- data engineering initiatives. Skills: * Python with some Java or Java with Python * SQL

Senior Data Engineer / Data Architect

Plano, TX ยท On-site

$77.58 - $82.58/hr

Responsibilities: - Design, develop and maintain scalable and large-scale data processing pipelines and infrastructure on the cloud following engineering standards, governance standards and ...

Data Engineer

Austin, TX ยท On-site

$82K/yr

Experience building ETL or ELT pipelines and working with cloud-based data platforms * Experience ... Data Engineering and Integration * Strong understanding of data extraction, transformation, loading ...

New

Data Engineer

Austin, TX ยท On-site +1

$82K/yr

Experience building ETL or ELT pipelines and working with cloud-based data platforms * Experience ... Data Engineering and Integration * Strong understanding of data extraction, transformation, loading ...

New

Showing results 21-40

Cloud Data Engineer Entry Level information

What does a cloud data engineer entry level do?

A Cloud Data Engineer Entry Level is responsible for assisting in the design, development, and management of data infrastructure on cloud platforms such as AWS, Azure, or Google Cloud. They help build and maintain pipelines that move and transform data, ensuring it is accessible and secure for analysis. Entry-level cloud data engineers often work under the supervision of senior engineers, contributing to data integration, storage solutions, and performance optimization tasks while learning industry best practices.

What are the key skills and qualifications needed to thrive as an entry level cloud data engineer?

To thrive as an Entry Level Cloud Data Engineer, you need a solid understanding of data structures, basic programming (often in Python or SQL), and foundational knowledge of cloud platforms such as AWS, Azure, or Google Cloud, typically supported by a related degree or certification. Experience with cloud-based data warehousing tools (like Amazon Redshift or BigQuery), ETL processes, and data pipeline orchestration systems is highly valuable. Strong analytical thinking, attention to detail, and effective communication skills help you collaborate with teams and solve data-related challenges. These skills and qualities are crucial for efficiently building, managing, and optimizing cloud data solutions that support business analytics and decision-making.

What types of projects and tasks can an entry level cloud data engineer expect to work on during their first year?

As an entry-level Cloud Data Engineer, you can expect to work on foundational tasks such as building and maintaining data pipelines, assisting with cloud platform migrations, and supporting data integration efforts. You'll often collaborate with senior engineers and data analysts to ensure data is properly ingested, transformed, and stored in cloud environments like AWS, Azure, or Google Cloud. Common challenges include learning to troubleshoot data flow issues and adapting to various cloud tools and services. Over time, you'll gain exposure to automation, scripting, and optimizing data workflows, which are essential for career growth in this field.
What are the most commonly searched types of Cloud Data Engineer jobs in Texas? The most popular types of Cloud Data Engineer jobs in Texas are:
What are popular job titles related to Cloud Data Engineer Entry Level jobs in Texas? For Cloud Data Engineer Entry Level jobs in Texas, the most frequently searched job titles are:
What job categories do people searching Cloud Data Engineer Entry Level jobs in Texas look for? The top searched job categories for Cloud Data Engineer Entry Level jobs in Texas are:
What cities in Texas are hiring for Cloud Data Engineer Entry Level jobs? Cities in Texas with the most Cloud Data Engineer Entry Level job openings:
Infographic showing various Cloud Data Engineer Entry Level job openings in Texas as of June 2026, with employment types broken down into 89% Full Time, 6% Part Time, 3% Contract, and 2% Nights. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.

$70K - $80K/yr

Full-time

Re-posted 3 days ago


Job description

Roles & Responsibilities
Job Title: Data Engineer
Job Description:
We are seeking a highly skilled and motivated Data Engineer to play a pivotal role in designing, building, and optimizing our next-generation scalable data pipelines. This position requires expertise in processing massive datasets using cutting-edge technologies like Apache Spark, PySpark, and Hive within a dynamic cloud environment. Your primary objective will be to ensure the utmost data reliability, speed, and efficiency, providing a robust foundation for downstream business intelligence and advanced analytics initiatives.
Roles & Responsibilities:
โ€ข Data Pipeline Development & Maintenance: Design, build, and maintain highly scalable and efficient ETL/ELT data pipelines utilizing PySpark and Spark SQL for complex data transformations.
โ€ข Cloud Data Infrastructure Management: Deploy, manage, and scale critical data infrastructure components on leading cloud platforms such as Amazon Web Services (AWS) (e.g., EMR, Glue), Microsoft Azure (e.g., Databricks, Synapse), or Google Cloud Platform (GCP).
โ€ข Data Warehousing & Storage Optimization: Strategically manage data layout, partitioning, and indexing within Apache Hive and various cloud data lake solutions to optimize performance and accessibility.
โ€ข Performance Tuning & Optimization: Proactively identify and resolve performance bottlenecks in Spark jobs, leveraging Spark UI for in-depth analysis, effectively managing data skewness, and optimizing memory utilization.
โ€ข Diverse Data Integration: Develop robust solutions for ingesting high-volume and diverse datasets from both structured relational databases and unstructured flat files into our data ecosystem.
โ€ข Automated Workflow Orchestration: Implement and manage automated data workflows using industry-standard scheduling tools like Apache Airflow or platform-native schedulers, ensuring timely and reliable data delivery.
โ€ข Strategic Collaboration: Partner closely with data scientists, business analysts, and cross-functional enterprise teams to translate complex business requirements into technically sound and efficient data solutions.
Qualifications:
โ€ข Big Data Frameworks Expertise: Demonstrated high proficiency in Apache Spark architecture, including a deep understanding of drivers, executors, and Directed Acyclic Graphs (DAGs).
โ€ข Advanced Programming: Exceptional coding skills in Python and extensive experience with the PySpark API for developing intricate data transformations and processing logic.
โ€ข Querying & Schema Management: Strong command of HiveQL and ANSI SQL, coupled with expertise in data partitioning techniques and effective schema definition.
โ€ข Optimized Storage Formats: In-depth understanding and practical experience with optimized big data storage file formats such as Parquet, ORC, and Avro.
โ€ข Cloud Ecosystem Development: Hands-on development experience utilizing cloud-native big data utilities (e.g., AWS EMR, Azure Databricks) with in major cloud platforms.
โ€ข Data Warehousing Fundamentals: Solid foundation in Dimensional Data Modeling, including Star and Snowflake schemas, and practical experience with Data Lakes concepts and implementation.
Preferred Qualifications
โ€ข CI/CD & DevOps Automation: Experience with Continuous Integration/Continuous Deployment (CI/CD) practices and automation tools like Git, Jenkins, or Ansible.
โ€ข NoSQL Database Integration: Exposure to and experience with NoSQL databases such as HBase, Cassandra, or MongoDB.
โ€ข Professional Cloud Certifications: Relevant professional cloud certifications (e.g., AWS Certified Data Engineer, Microsoft Certified: Azure Data Engineer Associate) are highly valued
Salary Range: $70,000 to $80,000 per year