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

IT America Inc

GCP Data Engineer

Richardson, TX · On-site

$104K - $124K/yr

Bachelor's degree in Computer Science, Data Engineering, or related field. * 5+ years of experience ... Preferred Qualifications: * GCP Professional Data Engineer or Associate Cloud Engineer ...

Pwc

Data Engineer - Senior Associate

Dallas, TX

$77K - $202K/yr

In data engineering at PwC, you will focus on designing and building data infrastructure and ... As a Senior Associate you analyze complex problems, mentor others, and maintain rigorous standards.

Pwc

Data Engineer - Senior Associate

Fort Worth, TX · On-site

$77K - $202K/yr

In data engineering at PwC, you will focus on designing and building data infrastructure and ... As a Senior Associate you analyze complex problems, mentor others, and maintain rigorous standards.

Purple Drive Technologies

Data Engineer

Dallas, TX · On-site

$113K - $136K/yr

Certification in Azure Data Engineer Associate , AWS Data Analytics , or GCP Professional Data Engineer is a plus. Soft Skills * Strong attention to detail and documentation. * Effective ...

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

Associate Data Engineering information

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$14

$32

$55

How much do associate data engineering jobs pay per hour?

As of Jun 16, 2026, the average hourly pay for associate data engineering in Dallas, TX is $32.72, according to ZipRecruiter salary data. Most workers in this role earn between $24.23 and $38.75 per hour, depending on experience, location, and employer.

What are some typical projects an Associate Data Engineer might work on in their first year?

In their first year, an Associate Data Engineer often works on building and maintaining data pipelines, cleaning and transforming raw data, and supporting the integration of new data sources. They may also assist in optimizing existing data workflows for better performance and reliability, as well as collaborating closely with data analysts and senior engineers to ensure data quality and accessibility. These projects help new team members develop a strong understanding of the organization's data infrastructure and best practices in data engineering.

What are the key skills and qualifications needed to thrive as an Associate Data Engineer, and why are they important?

To thrive as an Associate Data Engineer, a solid understanding of database systems, SQL, data modeling, and a relevant bachelor's degree in computer science or a related field is essential. Familiarity with ETL tools, cloud platforms like AWS or Azure, and programming languages such as Python or Java is typically required. Strong problem-solving abilities, attention to detail, and effective communication skills help set candidates apart in collaborative, data-driven environments. These skills and qualities are crucial for building reliable data pipelines, ensuring data quality, and enabling actionable business insights.

What is an Associate Data Engineer?

An Associate Data Engineer is an entry-level professional who assists in designing, building, and maintaining data pipelines and infrastructure. They typically work with senior data engineers to ensure data is collected, stored, and processed efficiently for analytics and business use. Responsibilities often include data cleaning, integration, and supporting the development of scalable data solutions. Associate Data Engineers usually have foundational knowledge of programming, databases, and cloud technologies.

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

AspectAssociate Data EngineeringData Engineer
Required CredentialsBachelor's degree in CS, IT, or related field; some certificationsBachelor's or master's degree; extensive experience preferred
Work EnvironmentEntry-level, team-focused, supporting data pipelinesDesigning, building, and maintaining large-scale data systems
Employer & Industry UsageCommon in tech companies, finance, healthcareUsed across industries for advanced data infrastructure roles
Search & Comparison IntentEntry-level, learning, support rolesAdvanced, specialized data infrastructure roles

The main difference between Associate Data Engineering and Data Engineer lies in experience and responsibilities. Associate Data Engineers are typically entry-level, focusing on supporting data pipelines and gaining hands-on experience. Data Engineers have more experience, handling complex data architecture, optimization, and system design. Both roles require similar educational backgrounds, but Data Engineers usually have more technical expertise and responsibility.

What are the most commonly searched types of Data Engineering jobs in Dallas, TX? The most popular types of Data Engineering jobs in Dallas, TX are:
What cities near Dallas, TX are hiring for Associate Data Engineering jobs? Cities near Dallas, TX with the most Associate Data Engineering job openings:
Associate Data Engineering jobs near you
Compliance, Data Engineering, Dallas, Associate

Compliance, Data Engineering, Dallas, Associate

Goldman Sachs, Inc.

Dallas, TX

$113K - $136K/yr

Other

Posted 26 days ago

Goldman Sachs rating

8.3

Company rating: 8.3 out of 10

Based on 25 frontline employees who took The Breakroom Quiz

29th of 141 rated banks

Job description

MORE ABOUT THIS JOB

Please note division and function examples are representative of opportunities common for this skill set. The list is not exhaustive, and availability of open roles is determined based on business need. Specific roles will be confirmed through the interview process.

 

RESPONSIBILITIES

Software engineers primarily focus on software design and development. This is meant to cover most programming positions in Engineering and include positions that were previously considered business software engineers, platform engineers, and quality assurance engineers.  Combine the best open-source software, databases, cloud solutions, and programming languages, to solve problems and provide accurate, complex, scalable applications that help our business and clients gain new insights.

 As a software engineer, you are the change agents that transform Goldman Sachs by applying your technical know-how. Be a part of our embedded engineering teams, that work as a unit with our business partners. Collaborate with trading, sales, asset management, banking, finance, and others, to build and automate solutions to keep our firm's position on the cutting edge. Or join our core engineering teams, and elevate all our businesses by providing reliable, scalable platforms for data engineering, machine learning, networking, developer tooling, collaboration and more.

Innovate with UI/UX designers, data scientists, cloud engineers, and more in a collaborative, agile environment where your enthusiasm to take on new problems and learn will have an immediate impact.

BASIC QUALIFICATIONS

  • Bachelor's degree or relevant work experience in Computer Science, Mathematics, or related technical discipline.
  • Excellent object oriented or functional analysis and design skills.
  • Knowledge of data structures, algorithms, and designing for performance.
  • Excellent written and verbal communication skills.
  • Ability to solve problems and apply analysis to make data driven decisions.
  • Comfortable multi-tasking, managing multiple stakeholders and working as part of a global team.
  • Can apply an entrepreneurial approach and passion to problem solving and product development.
  • 4 plus years of professional software development experience

Expert Knowledge in One Or More Of

  • Proficiency in at least one compiled language such as Java or C++, or an interpreted language such as Python, including experience with concurrency, memory management, and largescale systems
  • Strong experience with data engineering, including building and maintaining data pipelines, batch and streaming workflows, and data quality controls
  • Experience with cloudbased development, including data warehousing and distributed data processing platforms

Preferred Qualifications

  • Experience working with Lakehouse architectures and platforms such as Snowflake
  • Proficiency with Apache Spark or PySpark for largescale data processing
  • Exposure to financial markets, traded products, and regulatory or compliancedriven data use cases

What Goldman Sachs employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

Goldman Sachs logo

About Goldman Sachs

Sourced by ZipRecruiter

At Goldman Sachs, we commit our people, capital and ideas to help our clients, shareholders and the communities we serve to grow. Founded in 1869, we are a leading global investment banking, securities and investment management firm. Headquartered in New York, we maintain offices around the world. We believe who you are makes you better at what you do. We're committed to fostering and advancing diversity and inclusion in our own workplace and beyond by ensuring every individual within our firm has a number of opportunities to grow professionally and personally, from our training and development opportunities and firmwide networks to benefits, wellness and personal finance offerings and mindfulness programs.

Industry

Finance and insurance

Company size

10,000+ Employees

Headquarters location

New York, NY, US

Year founded

1869

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