2

Entry Level Aws Data Engineer Jobs in Dallas, TX

Data Engineer - AWS & PySpark

Dallas, TX · On-site

$113K - $136K/yr

Data Engineer AWS & PySpark Location: Dallas, TX or Richmond, VA Client: Confidential Job Summary We are looking for an experienced Data Engineer with strong hands-on expertise in AWS and PySpark

AWS Data Architect

Richardson, TX · On-site

$58.75 - $77.25/hr

Preferred Skill and Experience • Cloud Engineering & Automation: Terraform, CloudFormation, Boto3 ... Data Development: Clean code, unit testing, logging, error handling, ETL design, Pandas, and ...

New

Data Engineer

Dallas, TX · On-site

$113K - $136K/yr

Role - Data Engineer * 2-3 years of hands-on experience in Data Engineering * Strong experience in ... Experience with Azure or AWS cloud platforms * Understanding of data partitioning, performance ...

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

Plano, TX · On-site

$109K - $131K/yr

We are looking for a passionate certified Data Engineer. The successful candidate will turn data ... Skilled in AWS Database products such as Neptune, RDS, Redshift, or Aurora * Skilled in AWS ...

... data engineer) Job Summary We are currently working with strong consultants experienced in Python, AWS and scalable backend platform development. The ideal candidates have expertise in: * AWS ...

Data Engineer

Plano, TX · On-site

$110K - $132K/yr

Required : • Proven working experience as a data engineer • Bachelor degree or equivalent in Computer Science • Skilled in Python object-oriented programming • Skilled in AWS Compute such as ...

Data Engineer

Irving, TX · On-site

$110K - $133K/yr

Data Engineer - MEM SQL Location: New Jersey / Irving, TX / Tampa, FL We are looking for an ... Experience with cloud platforms (AWS / Azure / GCP) * Knowledge of Big Data technologies (Spark ...

Data Engineer

Plano, TX · On-site

$110K - $132K/yr

Data Engineer Location : Plano, TX (Onsite - Hybrid, 3 days Onsite/Week) Duration : 24+ Months ... Python - Must SQL - Must Tableau - Must AWS - Good to have EMR - Good to have Spark - Plus or ...

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 ...

* Build and maintain scalable, reliable data pipelines using tools like Azure Data Factory, AWS Glue ... Learn and apply modern data engineering and cloud practices across industries and use cases ...

New

Data Engineer

Dallas, TX · On-site

$55 - $60/hr

Analytics Engineer/Data Engineer Dallas, TX Hybrid: 3 days a week, 2 Days Remote $55-$60/hour ... Experience in AWS cloud environments * Experience with dbt * Experience working within Snowflake

Data Engineer

Plano, TX · On-site

$110K - $132K/yr

... AWS, GCP, or Azure). • Automate data processing tasks using scheduling tools like Apache Airflow ... engineers to support data-driven decision-making • Ensure data quality, governance, and security ...

next page

Showing results 1-20

Entry Level Aws Data Engineer information

See Dallas, TX salary details

$44K

$128.3K

$175.6K

How much do entry level aws data engineer jobs pay per year?

As of Aug 29, 2026, the average yearly pay for entry level aws data engineer in Dallas, TX is $128,320.00, according to ZipRecruiter salary data. Most workers in this role earn between $113,300.00 and $136,000.00 per year, depending on experience, location, and employer.

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 Dallas, TX?

The most popular types of Aws Data Engineer jobs in Dallas, TX are:

What are popular job titles related to Entry Level Aws Data Engineer jobs in Dallas, TX?

For Entry Level Aws Data Engineer jobs in Dallas, TX, the most frequently searched job titles are:

What job categories do people searching Entry Level Aws Data Engineer jobs in Dallas, TX look for?

The top searched job categories for Entry Level Aws Data Engineer jobs in Dallas, TX are:

What cities near Dallas, TX are hiring for Entry Level Aws Data Engineer jobs?

Cities near Dallas, TX with the most Entry Level Aws Data Engineer job openings:

Infographic showing various Entry Level Aws Data Engineer job openings in Dallas, TX as of July 2026, with employment types broken down into 1% As Needed, 84% Full Time, 11% Part Time, 1% Temporary, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $128,320 per year, or $61.7 per hour.

Data Engineer - AWS & PySpark

Cliff Services Inc

Dallas, TX • On-site

$113K - $136K/yr

Other

Posted 5 days ago


Job description

Data Engineer AWS & PySpark

Location: Dallas, TX or Richmond, VA
Client: Confidential

Job Summary

We are looking for an experienced Data Engineer with strong hands-on expertise in AWS and PySpark. The ideal candidate must have prior professional experience working with Banking domain and be capable of developing scalable data pipelines and data processing solutions in a cloud environment.

Key Responsibilities
  • Design, develop, and maintain scalable data pipelines using PySpark and AWS.
  • Develop and optimize large-scale data processing and ETL workflows.
  • Work with AWS cloud services to build reliable and high-performance data solutions.
  • Perform data transformation, cleansing, validation, and integration.
  • Optimize PySpark jobs for performance, scalability, and cost efficiency.
  • Collaborate with data architects, analysts, developers, and business stakeholders.
  • Troubleshoot data pipeline issues and ensure data quality and reliability.
  • Follow engineering best practices for code development, testing, deployment, and documentation.
Required Skills
  • Strong hands-on experience with PySpark.
  • Strong experience with AWS cloud services.
  • Experience developing ETL/data pipelines and processing large datasets.
  • Strong Python and SQL skills.
  • Experience with data transformation, integration, and data quality.
  • Mandatory: Prior Capital One project/client experience.
  • Strong communication and problem-solving skills.
Preferred
  • Experience with AWS data services such as S3, Glue, EMR, Lambda, Redshift, or similar.
  • Experience with distributed data processing and cloud-based data platforms.
  • Financial services/banking domain experience.