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Associate Data Engineer Jobs in Dallas, TX (NOW HIRING)

KPMG US

Data Scientist- Senior Associate

Dallas, TX · On-site

$58K - $58K/yr

They are seeking a Senior Associate Data Scientist to join their Audit Technology Alliance ... managers and AI engineers, and providing technical leadership to junior data scientists.

Gartner

Data Analyst - 2026/2027 graduates

Irving, TX · On-site

We are seeking an Associate Data Analyst with a passion for analytical problem solving to join our ... Data Engineering: * Assistwith the setup, management, and streamlining of data pipelines for ...

Gartner

Data Analyst - 2026/2027 graduates

Irving, TX · On-site

We are seeking an Associate Data Analyst with a passion for analytical problem solving to join our ... Data Engineering: Assistwith the setup, management, and streamlining of data pipelines for multiple ...

Dtcc

Data Protection Associate

Coppell, TX · On-site

$54K - $55K/yr

Being a member of IT Cybersecurity & Platform Engineering team, the Data Protection Operations Associate is responsible for the day-to-day operation of DTCC's data protection controls, with primary ...

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All JobsAssociate Data Engineer JobsAssociate Data Engineer Jobs in Dallas, TX

Associate Data Engineer information

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How much do associate data engineer jobs pay per hour?

As of Sep 14, 2026, the average hourly pay for associate data engineer in Dallas, TX is $18.54, according to ZipRecruiter salary data. Most workers in this role earn between $15.24 and $19.76 per hour, depending on experience, location, and employer.

What does an associate data engineer do?

An Associate Data Engineer is responsible for supporting the development, maintenance, and optimization of data pipelines and databases. They work closely with senior data engineers and other IT professionals to ensure data is accessible, reliable, and efficiently processed for analytics and business use. Typical tasks include writing and testing code for data integration, troubleshooting data issues, and implementing data security best practices. This entry-level position is a foundational role that builds technical skills and experience in data engineering.

What are the key skills and qualifications needed to thrive as an associate data engineer?

To thrive as an Associate Data Engineer, you need a solid understanding of data modeling, SQL, Python, and foundational knowledge of database concepts, often backed by a degree in computer science or a related field. Familiarity with data warehousing tools (like AWS Redshift, Google BigQuery), ETL frameworks, and cloud platforms as well as industry certifications such as AWS Certified Data Analytics is beneficial. Strong problem-solving skills, attention to detail, and effective communication help you navigate complex data challenges and collaborate with teams. These abilities are crucial for ensuring data systems are reliable, scalable, and aligned with organizational goals.

What are some common challenges an associate data engineer may face when working with large-scale data pipelines?

As an Associate Data Engineer, you may often encounter challenges such as optimizing data pipeline performance, ensuring data quality, and troubleshooting bottlenecks when processing large volumes of data. Working with distributed systems can introduce complex issues like latency and data consistency. Collaborating effectively with data scientists, analysts, and senior engineers is crucial for aligning data infrastructure with evolving project requirements. Regularly learning new tools and best practices will help you adapt to these challenges and grow in your role.

What is the difference between Associate Data Engineer vs Data Engineer?

AspectAssociate Data EngineerData Engineer
Required CredentialsBachelor's degree in CS, Data Science, or related field; basic knowledge of SQL and PythonBachelor's or Master's degree; advanced knowledge of SQL, Python, Spark, and cloud platforms
Work EnvironmentEntry-level, team-focused, often in tech or finance industriesMid to senior level, designing and maintaining data pipelines in various industries
Employer & Industry UsageCommon in tech companies, startups, and finance firmsUsed across industries for building scalable data infrastructure
Common Search & ComparisonOften compared for career progression and skill requirements

The Associate Data Engineer role is an entry-level position focusing on supporting data infrastructure, while the Data Engineer is a more advanced role responsible for designing and maintaining complex data systems. The roles share similar educational backgrounds and work environments but differ in experience level and responsibilities.

Is an associate data engineer entry level?

An associate data engineer is typically an entry-level position suitable for candidates with limited professional experience in data engineering. It often requires foundational skills in SQL, Python, or cloud platforms and serves as a starting point for a career in data engineering.

What are the most commonly searched types of Data Engineer jobs in Dallas, TX?

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

What are popular job titles related to Associate Data Engineer jobs in Dallas, TX?

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

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

The top searched job categories for Associate Data Engineer jobs in Dallas, TX are:

What cities near Dallas, TX are hiring for Associate Data Engineer jobs?

Cities near Dallas, TX with the most Associate Data Engineer job openings:

Associate Data Engineer jobs near you
Infographic showing various Associate Data Engineer job openings in Dallas, TX as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $38,554 per year, or $18.5 per hour.

Data Engineer

Dallas, TX • On-site

Rootshell Enterprise Technologies, Inc.
11 - 50 employees
Learn more about Rootshell Enterprise Technologies, Inc.external

$107K - $129K/yr

Full-time

Re-posted 28 days ago

Job description

  • Coordinate with app teams, architects and key stakeholders to develop and achieve objectives for canonical modeling & data architecture.
  • Design and provide support to all data management & metadata methodologies according to required standards.
  • Administer mapping of all data sources and movement and analyze it to ensure appropriate quality of all data. Manage various data associate problems such as system configuration and integration on multiple platforms.
  • Prepare documents for data architecture and maintain knowledge on large data structure as well.

Skills you need :-
  • Experience in building canonical models, entity relationships and metadata management framework
  • Experience in optimizing APIs to improve processes like CPQ, Q2C
  • Experience in API Management & Gateway technologies like APIGEE
  • Experience in NoSQL like MongoDB, Cassandra
  • Experience in deploying data applications into Amazon EKS (Kubernetes)
  • Experience in Data Ingestion, ETL processing & exposing APIs on Data Lakes/Data Hubs
  • Experience in understanding different architectures (SOA, EAI) and other frameworks.
  • Solid foundation in Service Oriented Architecture(SOA) principles and service modeling
  • Working experience in EDI, XML, Flat file transactions and communication.
  • Must have superior knowledge of XML, XSD, WSDL, SOAP, REST, HTTP, JMS, FTP, XSLT, WSS and SSL.

Thanks,
Himabindu
himabindu@rootshellinc.com
P:408-239-4600 EXT 5052
https://www.linkedin.com/in/hima-bindu-60818116b/

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