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

Tata Consultancy Service Limited

Data Engineer

Irving, TX · On-site

$125K - $140K/yr

Data Engineer We are seeking a highly skilled and motivated Data Engineer to play a pivotal role in ... Experience in development experience utilizing cloud-native big data utilities (e.g., AWS EMR, AWS ...

Trafigura

Data Engineer

Houston, TX

$109K - $131K/yr

AWS, Azure, or GCP), containerisation (e.g. Docker, Kubernetes), and Infrastructure as Code (e.g ... AWS Certified Data Engineer, Solutions Architect). * Experience with NoSQL databases. * Familiarity ...

Trafigura Group Pte. Ltd.

Data Engineer

Houston, TX · On-site

$109K - $131K/yr

AWS, Azure, or GCP), containerisation (e.g. Docker, Kubernetes), and Infrastructure as Code (e.g ... AWS Certified Data Engineer, Solutions Architect). * Experience with NoSQL databases. * Familiarity ...

Carmax

Engineer II, Data

Dallas, TX · On-site

$113K - $136K/yr

Data engineers also need to guarantee compliance with data governance and data security ... AWS Lambda, Cloud Functions) * Cosmos DB (or comparable NoSQL stores such as DynamoDB, Cassandra)

Sarian, Inc.

Sr. Pyspark Data Engineer

Irving, TX · On-site

$109K - $132K/yr

Role: Sr. PySpark Data Engineer - Fulltime Location: Irving, TX We are seeking a skilled PySpark ... Deploy and manage data workflows in cloud platforms (AWS, Azure, GCP). * Utilize SQL and NoSQL ...

Swbc

Junior Data Engineer

San Antonio, TX

$103K - $124K/yr

As a Junior Data Engineer, you'll gain hands-on experience building and maintaining data solutions ... Experience with orchestration tools such as Airflow, AWS Step Functions, or similar. * Strong ...

SWBC

Junior Data Engineer

San Antonio, TX · On-site

$103K - $124K/yr

As a Junior Data Engineer, you'll gain hands-on experience building and maintaining data solutions ... Experience with orchestration tools such as Airflow, AWS Step Functions, or similar. * Strong ...

SWBC

Junior Data Engineer

San Antonio, TX · On-site

$103K - $124K/yr

As a Junior Data Engineer, you'll gain hands-on experience building and maintaining data solutions ... Experience with orchestration tools such as Airflow, AWS Step Functions, or similar. * Strong ...

Prolim Global

Snowflake Data Engineer

Plano, TX · On-site

$109K - $131K/yr

AWS Glue * Basic understanding of data ingestion and pipeline concepts. * Cloud & Data Warehousing ... Engineering services include Data Translation, CAD/CAM/CAE, Process & Product Engineering ...

PROLIM Global Corporation

Snowflake Data Engineer

Plano, TX · On-site

$109K - $131K/yr

AWS Glue * Basic understanding of data ingestion and pipeline concepts. * Cloud & Data Warehousing ... Engineering services include Data Translation, CAD/CAM/CAE, Process & Product Engineering ...

SWBC

Junior Data Engineer

San Antonio, TX · On-site

$103K - $124K/yr

Required : • Bachelor's degree or higher in Computer Science, Engineering, Data Science, or ... Preferred : • Cloud certifications (AWS, Azure, or GCP) preferred. • Experience working in ...

Eliassen Group

Data Engineer

Westlake, TX · On-site

$60 - $70/hr

Leverage AWS services such as EC2, S3, and EMR to enable cloud data solutions and data lake ... Use DevOps and migration tools to promote code through environments. * Engage stakeholders and ...

Eliassen Group

Data Engineer

Westlake, TX · On-site

$60 - $70/hr

Leverage AWS services such as EC2, S3, and EMR to enable cloud data solutions and data lake ... Use DevOps and migration tools to promote code through environments. * Engage stakeholders and ...

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All JobsAws Data Engineer JobsEntry Level Aws Data Engineer JobsEntry Level Aws Data Engineer Jobs in Texas

Entry Level Aws Data Engineer information

What does an entry level AWS data engineer do?

An Entry Level AWS Data Engineer is responsible for helping to design, build, and maintain data pipelines and infrastructure in Amazon Web Services (AWS) environments. They work with data storage tools like Amazon S3, databases such as Amazon RDS or Redshift, and data processing services like AWS Glue or EMR. Their role often involves data extraction, transformation, and loading (ETL), ensuring data is accessible and usable for analytics and business needs. They typically collaborate with data scientists, analysts, and senior engineers while following best practices for cloud security and scalability.

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

To thrive as an Entry Level AWS Data Engineer, you need a solid understanding of data structures, SQL, Python or similar programming languages, and a basic grasp of cloud computing concepts, ideally supported by a relevant degree or coursework. Familiarity with AWS services such as S3, Redshift, Glue, and data visualization or ETL tools, along with certifications like AWS Certified Data Analytics – Specialty, is highly valuable. Strong problem-solving abilities, attention to detail, and effective communication skills help you stand out in collaborative, fast-paced environments. These skills and qualifications are crucial for building scalable data solutions, ensuring data quality, and enabling data-driven decision-making for organizations using AWS.

What are some typical projects an entry level AWS data engineer might work on?

As an Entry Level AWS Data Engineer, you may be involved in projects such as building data pipelines, automating data ingestion, or assisting in the migration of on-premises data to AWS cloud services. These projects typically require collaboration with data analysts, senior engineers, and sometimes business stakeholders to ensure that clean, well-structured data is available for reporting and analytics. Your contributions help streamline data flows, improve data quality, and support the team’s ability to make data-driven decisions, providing a strong foundation for future growth and responsibilities.

What is the difference between Entry Level Aws Data Engineer vs Data Analyst?

AspectEntry Level Aws Data EngineerData Analyst
Required CredentialsBasic AWS certifications, SQL, PythonExcel, SQL, basic data visualization tools
Work EnvironmentCloud platforms, data pipelines, ETL processesData interpretation, reporting, dashboards
Industry UsageTech, finance, healthcare with cloud infrastructureBusiness, marketing, finance sectors

While both roles involve working with data, Entry Level Aws Data Engineers focus on building and maintaining cloud-based data pipelines using AWS tools, whereas Data Analysts interpret data and create reports to support business decisions. The roles often overlap in skills like SQL and basic scripting, but differ in their core responsibilities and work environments.

What are the most commonly searched types of Aws Data Engineer jobs in Texas? The most popular types of Aws Data Engineer jobs in Texas are:
What are popular job titles related to Entry Level Aws Data Engineer jobs in Texas? For Entry Level Aws Data Engineer jobs in Texas, the most frequently searched job titles are:
What job categories do people searching Entry Level Aws Data Engineer jobs in Texas look for? The top searched job categories for Entry Level Aws Data Engineer jobs in Texas are:
What cities in Texas are hiring for Entry Level Aws Data Engineer jobs? Cities in Texas with the most Entry Level Aws Data Engineer job openings:
Entry Level Aws Data Engineer jobs near you
Infographic showing various Entry Level Aws Data Engineer job openings in Texas as of August 2026, with employment types broken down into 100% Full Time. Highlights an 50% In-person, and 50% Remote job distribution.

Data Engineer

Tata Consultancy Service Limited

Irving, TX • On-site

$125K - $140K/yr

Full-time

Re-posted 27 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 Cloudera Platform. 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:
• Data Pipeline Development & Maintenance: Design, build, and maintain highly scalable and efficient ETL/ELT data pipelines utilizing PySpark and Spark SQL , Hive for complex data transformations.
• 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.
• 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.
• 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.
• 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.
• 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:
• Big Data Frameworks Expertise: Demonstrated high proficiency in Apache Spark architecture, including a deep understanding of drivers, executors, and Directed Acyclic Graphs (DAGs).
• Advanced Programming: Exceptional coding skills in Python and extensive experience with the PySpark API for developing intricate data transformations and processing logic.
• Querying & Schema Management: Strong command of HiveQL and ANSI SQL, coupled with expertise in data partitioning techniques and effective schema definition.
• Optimized Storage Formats: In-depth understanding and practical experience with optimized big data storage file formats such as Parquet, ORC, and Avro.
• 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
• CI/CD & DevOps Automation: Experience with Continuous Integration/Continuous Deployment (CI/CD) practices and automation tools like Git, Jenkins, or Ansible.
• Cloud Ecosyste m Development: Experience in development experience utilizing cloud-native big data utilities (e.g., AWS EMR, AWS Databricks) within major cloud platforms.
• NoSQL Database Integration: Exposure to and experience with NoSQL databases such as HBase, Cassandra, or MongoDB.
• Professional Certifications: Relevant professional certifications on Spark or Data Engineer are highly valued
Salary Range: $125,000 to $140,000 per year

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