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Associate Data Engineering Jobs in Texas (NOW HIRING)

Merican

Lead I - Software Engineering

Frisco, TX · On-site

The Associate Data Engineer is an early-career engineer learning the full HR Analytics data engineering vertical hands-on - from ingestion, through modeling and transformation, into the Microsoft ...

UST

Associate Data Engineer

Frisco, TX · On-site

$107.90K - $129.60K/yr

Required : • Experience: 1+ years • Bachelor's degree in Computer Science, Software Engineering ... Data Engineer Associate) or working toward them. • Familiarity with data privacy concepts (GDPR ...

Baker Tilly US

Associate Data Engineer

Frisco, TX · On-site

$107.90K - $129.60K/yr

The Associate Data Engineer will design, build, and optimize modern data solutions, transforming ... Required : • Education - Bachelor's in Computer Science, Information Systems, Engineering, or ...

Brooksource

Associate Data Engineer

Fort Worth, TX · On-site

$32 - $35/hr

Associate Data Engineer Hybrid Role Compensation: $32-$35 per hour ABOUT THE ROLE Our client is ... Implement data migration and engineering solutions using Microsoft Azure products and services ...

Bakertilly

Associate Data Engineer

Frisco, TX · On-site

$85.91K - $162.89K/yr

As a Senior Consultant - Associate Data Engineer you will design, build, and optimize modern data ... Data Engineering: Develop scalable, welldocumented ETL/ELT pipelines using TSQL, Python, Azure Data ...

Merican

Sr Data Engineer

Frisco, TX · On-site

$107.20K - $128.70K/yr

... engineering team; and Senior Data Engineers, Data Engineers, and Associate Data Engineers who deliver data products across the full vertical. * The team operates across the country (Frisco, TX) and ...

Merican

Associate Data Architect I

Frisco, TX · On-site

$59.75 - $76.75/hr

Associate Data Architect I Location: Frisco, TX Duration: 6 Months Job Type: Temporary Assignment ... Investigate upstream issues and coordinate with data engineering teams to fix defects quickly.

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Associate Data Engineering information

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 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 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 Texas? The most popular types of Data Engineering jobs in Texas are:
What cities in Texas are hiring for Associate Data Engineering jobs? Cities in Texas with the most Associate Data Engineering job openings:
Associate Data Engineering jobs near you
Associate Data Engineer

Associate Data Engineer

Programmers.io

Dallas, TX • On-site

$113.30K - $136K/yr

Contractor

Posted 11 days ago

Job description

Job Title: Associate Data Engineer
Summary:
Support the development of data engineering solutions on Azure with foundational skills in SQL and cloud platforms. Ideal for candidates ready to grow into a specialist role.

Responsibilities:

       ·    Assist in building data pipelines using Azure services.

  • Write and optimize SQL queries for analytics.
  • Support CI/CD processes and cloud infrastructure tasks.
  • Contribute to data governance and compliance efforts.

Required Experience:

·                2–3 years in data engineering or analytics using SQL.

  • Exposure to Agile and DevOps practices.

Required Skills:

·                Basic experience with Azure Data Factory or Azure Databricks.

  • SQL, Python.
  • PySpark
  • Familiarity with CI/CD tools (e.g., Azure DevOps, GitHub).
  • Data Warehousing Concepts

Preferred Skills:

·                Exposure to Spark and Azure Data Lake.

  • Experience with Power BI or Tableau.
  • Awareness of data governance tools (e.g., Informatica Axon, BigID).

Education: Bachelor’s degree or equivalent experience in a technical field.