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Temporary Aws Data Engineer Jobs in Texas (NOW HIRING)

Addison Group

Senior Data Engineer

Dallas, TX · On-site

$120K - $140K/yr

Senior Data Engineer Location: Coppell, TX Salary Range: $120K-$140K We are looking to bring on a ... or AWS), Azure DevOps (ADO), SQL (ETL, SSIS packages), and PySpark or Scala automation.

Ruri Software Technologies LLC

Data Engineer

Irving, TX · On-site

$109K - $132K/yr

Job Titile: Data Engineer Work Location; Irving, Texas Duration: 8+ Months Specific Skills ... Experience or knowledge of AWS cloud services: EC2, MSK, S3, RDS, SNS, SQS * Experience or ...

Tiger Analytics

Lead Data Engineer - AWS

Dallas, TX · On-site

$113K - $136K/yr

Required : • 8-12 years in Data Engineering with a heavy focus on the AWS Cloud stack • Deep hands-on experience with Glue, Athena, EMR, and Redshift • Proficiency in LangChain or LlamaIndex ...

QUANTUM TECHNOLOGIES LLC

Sr.Data Engineer

Dallas, TX · On-site

$113K - $136K/yr

Senior Data Engineer / Databricks Engineer Location: Dallas, TX Duration: Long Term Client: SWA ... Validate ETL/ELT workflows using AWS Glue, Lambda, EMR, Step Functions, S3, Redshift, Athena ...

TEKFORTUNE INC

Data Engineer Quality Engineer

Dallas, TX · On-site

$113K - $136K/yr

They are seeking a Data Engineer Quality Engineer to ensure the reliability and performance of data platforms and pipelines, focusing on validating data workflows built on AWS, Kafka, SQL, and Python.

Keylent Inc

AWSDataEngineer

Dallas, TX · On-site

$113K - $136K/yr

Keylent Inc is seeking an AWS Data Engineer to work in Dallas, TX. The role involves creating, maintaining, and upgrading AWS infrastructure to support data applications and requires collaboration ...

Saransh Inc

AWS Data Architect - Full Time

Plano, TX · On-site

$61 - $78.50/hr

We are seeking a hands-on Data Architect to design and evolve an AWS based data platform spanning ... Partner with DevOps to run containerized data services on EKS (e.g., stream processors ...

R2 Technologies Corporation

Data Engineer

Plano, TX · On-site

$109K - $131K/yr

We Are Looking For Candidates With, Terraform, AWS, Cloud Formation and Bigdata experience is ... Data Engineer, having built large and complex data pipelines * Experience designing, building and ...

Keylent Inc

AWS Sr Developer

Houston, TX · On-site

The role involves engineering and administration activities on AWS data services, with a focus on data integration and quality management. Responsibilities : • Ability to manage and monitor AWS EMR ...

Artius Solutions

Data Engineer

Dallas, TX · On-site

$60 - $65/hr

Job Title: Data Engineer Location: Dallas, TX Job Summary: As a Databricks Lead, you will be a ... AWS Cloud Integration: * Leverage various AWS services (S3, EC2, Lambda, Glue, etc.) to build a ...

Pwc

Data Engineer - Senior Manager

Houston, TX

$124K - $280K/yr

... AWS Solutions Architect, AWS Data Engineer, Google Professional Cloud Architect, GCP Data Engineer Microsoft Azure Solutions Architect, Azure Data Engineer Associate, Snowflake Core, Snowflake ...

Pwc

Data Engineer - Senior Manager

San Antonio, TX · On-site

$124K - $280K/yr

... AWS Solutions Architect, AWS Data Engineer, Google Professional Cloud Architect, GCP Data Engineer Microsoft Azure Solutions Architect, Azure Data Engineer Associate, Snowflake Core, Snowflake ...

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Temporary Aws Data Engineer information

What does a temporary AWS data engineer do?

A Temporary AWS Data Engineer is a professional hired for a limited period to design, build, and maintain data pipelines and solutions using Amazon Web Services (AWS) technologies. They are responsible for managing data workflows, ensuring data quality, and optimizing data storage and processing in the cloud. Their tasks may include developing ETL processes, integrating data from multiple sources, and supporting analytics teams. Temporary roles often focus on specific projects or addressing short-term business needs, requiring strong AWS expertise and adaptability.

What are some typical challenges faced by temporary AWS data engineers during short-term projects?

Temporary AWS Data Engineers often need to quickly adapt to new environments and existing cloud architectures. A common challenge is understanding the organization's data pipelines and compliance requirements within a limited timeframe. They must efficiently collaborate with permanent team members and stakeholders to deliver solutions that integrate seamlessly into ongoing workflows. Time management and effective communication are crucial, as temporary roles require delivering high-impact results on tight deadlines while ensuring knowledge transfer for continuity.

What are the key skills and qualifications needed to thrive as a temporary AWS data engineer, and why are they important?

To thrive as a Temporary AWS Data Engineer, you need strong skills in data engineering, SQL, Python, and expertise in AWS cloud services such as Redshift, S3, and Lambda, often backed by a relevant degree or AWS certification. Familiarity with data pipeline tools like AWS Glue, ETL frameworks, and cloud monitoring systems is typically required. Attention to detail, problem-solving abilities, and the capacity to communicate technical ideas clearly are standout soft skills for this position. These competencies ensure efficient data processing, secure cloud operations, and effective collaboration in rapidly changing project environments.

What is the difference between Temporary Aws Data Engineer vs Permanent Aws Data Engineer?

AspectTemporary Aws Data EngineerPermanent Aws Data Engineer
Employment TypeShort-term, project-basedFull-time, long-term
Certifications & SkillsSame certifications (AWS, data engineering skills)Same certifications (AWS, data engineering skills)
Work EnvironmentContract roles, often remote or on-sitePermanent roles, often on-site or hybrid
Job StabilityLimited duration, project-specificLong-term job security

Temporary Aws Data Engineers typically work on short-term projects with contract-based employment, while permanent Aws Data Engineers have ongoing roles with long-term stability. Both roles require similar skills and certifications, but differ mainly in employment duration and job security.

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:

Temporary Aws Data Engineer jobs near you
Infographic showing various Temporary Aws Data Engineer job openings in Texas as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution.

Senior Data Engineer

Addison Group

Dallas, TX • On-site

$120K - $140K/yr

Other

Re-posted 18 days ago

Job description

Title: Senior Data Engineer

Location: Coppell, TX

Salary Range: $120K-$140K

We are looking to bring on a Senior Data Engineer to our team due to growth. What we need is someone who comes 8+ years of experience in the Data Engineering space who specializes in Microsoft Azure and Databricks. This person will be a part of multiple initiatives for the "New Development" and "Data Reporting" teams but will be primarily tasked with designing, building, maintaining, and automating their enterprise data architecture/pipelines within the cloud.

Technology-wise we are needing to come with skills in Azure Databricks (5+ years), cloud-based environment (Azure and/or AWS), Azure DevOps (ADO), SQL (ETL, SSIS packages), and PySpark or Scala automation. Architecture experience in building pipelines, data modeling, data pipeline deployment, data mapping, etc.

Personality-wise we need an Engineer who is able to assess, breakdown, and complete tasks without them needing too much direction. There is a lot of ambiguous data that they need to help with define, uncover, and resolve. Most of the work will be done from a solo capacity but collaboration for the data and what defines success is crucial.

Top Skills:

-8+ Years of Data Engineer/Business Intelligence

-Databricks and Azure Data Factory (ADF) (Need version on resume): *Most updates is Unity Catalog for Databricks*

-Cloud-based environments (Azure or AWS)

-Data Pipeline Architecture and CI/CD methodology

-SQL

-Automation (Python (PySpark), Scala)