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Associate Data Engineer Jobs in Monroe, LA (NOW HIRING)

Partner with engineers and fellow technicians to troubleshoot and resolve technical issues ... High School Diploma or equivalent (Associate or Bachelor's degree in Computer Science or related ...

Associate or Bachelor's degree in Construction Management, Engineering, or a related technical field . * Experience: 3-5 years in estimating, project coordination, or data center construction ...

Meta is seeking a data center Critical Facility Engineer to join our Data Center Facility ... Associate's degree in engineering plus 3+ years experience or Bachelor's degree in related field ...

Meta is seeking a data center Critical Facility Engineer to join our Data Center Facility ... Associate's degree in engineering plus 4+ years experience or Bachelor's degree in related field ...

Meta is seeking a data center Critical Facility Engineer to join our Data Center Facility ... Associate's degree in engineering plus 4+ years experience or Bachelor's degree in related field ...

The role involves requirement analysis, data modeling, systems integration, and functional ... developers and other architects during implementation of projects, manage design change requests ...

Bachelor's or associate's degree in occupational safety, health, or related field preferred * OR ... data centers, healthcare, and more. We are builders at heart, working to ensure the built ...

... engineering, and cybersecurity industries. Responsibilities Role Overview The Systems Specialist is an embedded project support role that sits at the intersection of data management, construction ...

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Associate Data Engineer information

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$9

$18

$29

How much do associate data engineer jobs pay per hour?

As of Sep 5, 2026, the average hourly pay for associate data engineer in Monroe, LA is $18.02, according to ZipRecruiter salary data. Most workers in this role earn between $14.81 and $19.18 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 Monroe, LA?

The most popular types of Data Engineer jobs in Monroe, LA are:

What are popular job titles related to Associate Data Engineer jobs in Monroe, LA?

For Associate Data Engineer jobs in Monroe, LA, the most frequently searched job titles are:

What cities near Monroe, LA are hiring for Associate Data Engineer jobs?

Cities near Monroe, LA with the most Associate Data Engineer job openings:

Infographic showing various Associate Data Engineer job openings in Monroe, LA as of August 2026, with employment types broken down into 92% Full Time, and 8% Contract. Highlights an 92% In-person, and 8% Remote job distribution, with an average salary of $37,490 per year, or $18 per hour.

Associate Data Engineer - AI & Analytics - 2027

IBM

Monroe, LA • On-site

$58 - $85/hr

Other

Posted 21 days ago


IBM rating

8.0

Company rating: 8.0 out of 10

Based on 76 frontline employees who took The Breakroom Quiz

125th of 247 rated software companies


Job description

In this role, you'll work in one of our IBM Consulting FutureNow Centers, where we deliver deep technical and industry expertise to a wide range of public and private sector clients around the world. Our delivery centers offer our clients locally based skills and technical expertise to drive innovation and adoption of new technology. As an Associate at IBM, you'll work with clients to help solve real-world business challenges through technology, innovation, and consulting. From day one, you'll gain hands-on experience on real client projects while receiving professional and technical mentorship, career coaching, and access to certification opportunities. At IBM, AI is part of how we deliver solutions, accelerate development, analyze data, automate business processes, and help clients solve complex business challenges. You'll also develop the consulting, communication, and collaboration skills needed to work effectively with clients and multidisciplinary teams throughout your career.

In this role, you'll work in one of our IBM Consulting FutureNow Centers, where we deliver deep technical and industry expertise to a wide range of public and private sector clients around the world. Our delivery centers offer our clients locally based skills and technical expertise to drive innovation and adoption of new technology.

Your role and responsibilities

As an Associate Data Engineer at IBM, you'll help organizations unlock the value of their data to make smarter decisions, improve business outcomes, and accelerate innovation through Artificial Intelligence and advanced analytics.

As part of our AI & Analytics practice, you'll work on projects that leverage data, machine learning, Generative AI, and analytics to solve complex business challenges. No two projects are exactly alike—you could support healthcare, financial services, public sector, federal sector, automotive, energy, retail, industrial, or manufacturing clients. Work side-by-side with experienced consultants, data scientists, AI engineers, data engineers, and business professionals to develop innovative solutions for real clients. Through mentorship, certifications, structured learning, and hands-on client experiences, you'll build the skills needed to grow your career in data and AI consulting. You don't need to be an expert to get started. We're looking for individuals with a strong foundation, a growth mindset, and a desire to learn and make an impact. Bring your curiosity. Grow your skills. Build what's next, like an IBMer.

Required education

Bachelor's Degree

Required technical and professional expertise
  • Currently completing or recently completed a bachelor’s degree in Computer Science, Data Science, Information Systems, Engineering, Mathematics, Statistics,Analytics, or a related field.
  • Foundational knowledge of programming languages such as Python, SQL, Java, or similar technologies.
  • Foundational understanding of databases, data structures, data processing, and analytics concepts.
  • Foundational understanding of Artificial Intelligence, Machine Learning, Generative AI, or data-driven decision-making concepts gained through coursework, projects, research, certifications, IBM SkillsBuild, or self-directed learning.
  • Exposure to cloud technologies, modern data platforms, or data architectures through coursework, labs, projects, hackathons, or internships.
  • Ability to communicate technical findings and data-driven insights to both technical and business audiences.
  • Demonstrated application of programming, data, or analytical skills through coursework, projects, research, internships, hackathons, or personal learning.
Preferred technical and professional experience
  • Exposure to analytics, business intelligence, Artificial Intelligence, or cloud-based data projects.
  • Familiarity with data visualization tools, machine learning concepts, cloud platforms, or modern analytics solutions.
ABOUT BUSINESS UNIT

IBM Consulting is IBM’s consulting and global professional services business, with market leading capabilities in business and technology transformation. With deep expertise in many industries, we offer strategy, experience, technology, and operations services to many of the most innovative and valuable companies in the world. Our people are focused on accelerating our clients’ businesses through the power of collaboration. We believe in the power of technology responsibly used to help people, partners and the planet.

YOUR LIFE @ IBM

In a world where technology never stands still, we understand that, dedication to our clients success, innovation that matters, and trust and personal responsibility in all our relationships, lives in what we do as IBMers as we strive to be the catalyst that makes the world work better.

Being an IBMer means you’ll be able to learn and develop yourself and your career, you’ll be encouraged to be courageous and experiment everyday, all whilst having continuous trust and support in an environment where everyone can thrive whatever the personal or professional background.

Our IBMers are growth minded, always staying curious, open to feedback and learning new information and skills to constantly transform themselves and our company. They are trusted to provide on-going feedback to help other IBMers grow, as well as collaborate with colleagues keeping in mind a team focused approach to include different perspectives

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What IBM employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom


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About IBM

Sourced by ZipRecruiter

At IBM, work is more than a job - it's a calling: To build. To design. To code. To consult. To think along with clients and sell. To make markets. To invent. To collaborate. Not just to do something better, but to attempt things you've never thought possible. Are you ready to lead in this new era of technology and solve some of the world's most challenging problems? If so, lets talk.

Industry

It services

Company size

10,000+ Employees

Headquarters location

Armonk, NY, US

Year founded

1911

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