2

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

Big Data Engineer - Sr

Plano, TX · 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

... Amazon Web Services (AWS) and Azure Data Factory to enhance data engineering capabilities ... PwC does not intend to hire experienced or entry level job seekers who will need, now or in the ...

... Amazon Web Services (AWS) and Azure Data Factory to enhance data engineering capabilities ... PwC does not intend to hire experienced or entry level job seekers who will need, now or in the ...

... Amazon Web Services (AWS) and Azure Data Factory to enhance data engineering capabilities ... PwC does not intend to hire experienced or entry level job seekers who will need, now or in the ...

... Amazon Web Services (AWS) and Azure Data Factory to enhance data engineering capabilities ... PwC does not intend to hire experienced or entry level job seekers who will need, now or in the ...

... Amazon Web Services (AWS) and Azure Data Factory to enhance data engineering capabilities ... PwC does not intend to hire experienced or entry level job seekers who will need, now or in the ...

PCA Data Engineer

Dallas, TX · On-site

$113K - $136K/yr

We are looking for a talented Data Engineer to join our team and contribute to developing robust ... Familiarity with cloud storage (Azure, AWS S3) and integration techniques (APIs, webhooks, REST)

PCA Data Engineer

Austin, TX · On-site

$113K - $136K/yr

We are looking for a talented Data Engineer to join our team and contribute to developing robust ... Familiarity with cloud storage (Azure, AWS S3) and integration techniques (APIs, webhooks, REST)

PCA Data Engineer

Houston, TX · On-site

$109K - $131K/yr

We are looking for a talented Data Engineer to join our team and contribute to developing robust ... Familiarity with cloud storage (Azure, AWS S3) and integration techniques (APIs, webhooks, REST)

Snowflake Data Engineer

Austin, TX · On-site

$113K - $136K/yr

Role: Sr. Snowflake Data Engineer/only W2 Location: Austin, TX Onsite position Fulltime Position ... Experience with building Cloud Native applications using AWS. * Hands-on experience with ETL and ...

Sr. Data Engineer

Austin, TX · On-site

$113K - $136K/yr

Role: Sr. Snowflake Data Engineer Location: Austin, TX - Fulltime Position Minimum Qualifications ... Experience with building Cloud Native applications using AWS. Preferred Qualifications: * Hands-on ...

Data Engineer I

Farmers Branch, TX · On-site

$110K - $132K/yr

The Data Engineer I (DE I) is an entry-level engineering position responsible for contributing to the development of the enterprise data platform. This role applies foundational data engineering ...

Data Engineer I

Farmers Branch, TX · On-site

$110K - $132K/yr

The Data Engineer I (DE I) is an entry-level engineering position responsible for contributing to the development of the enterprise data platform. This role applies foundational data engineering ...

New

Deploy and maintain data analytics and machine learning applications in AWS and Azure cloud environments. Create dashboards, reports, and data visualizations to communicate analytical findings and ...

Showing results 41-60

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 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:
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 (Python,Flink and Starburst)

Okaya Corp.

Irving, TX • On-site

$109K - $132K/yr

Full-time

Posted 21 days ago


Job description

Position - 1 Data engineer (Python Flink)
Position 2 Data Engineer - Pythonand Starburst
Work Location : Irving, Texas / Tampa, FL
Full Time Onsite
Job Description
Senior Data Engineer to design and build scalable high performance data platforms for Realtime and analytical workloads The role focuses on streaming Lakehouse and federated query architectures using Apache Flink Apache Iceberg and Starburst Trino in a cloud environment
Key Responsibilities
Build and operate real time streaming pipelines using Apache Flink
Design and manage Lakehouse architectures with Apache Iceberg
Enable federated analytics using Starburst Trino
Develop and optimize ETL pipelines using Python Scala Java
Integrate data platforms with AWS Azure GCP services
Tune performance across pipelines tables and queries
Ensure data quality governance monitoring and reliability
Contribute to platform architecture and mentor junior engineers
Required Qualifications
7 years in data engineering and largescale data platforms
Strong hands-on experience with Flink Iceberg and Trino
Proficiency in Python Scala or Java and strong SQL skills
Experience with cloud data services and distributed systems
Knowledge of Kafka Docker Kubernetes and data warehousing concepts
Preferred
Financial services experience
Cloud certifications
Exposure to Delta Lake Hudi and Airflow