1

Associate Data Engineer Jobs in Berkeley, MO (NOW HIRING)

Expert Data Scientist

Saint Louis, MO · On-site

$130K - $188K/yr

... data engineering, and model development * 2+ years of experience designing, fine-tuning, evaluating ... We consider our associates our most valuable assets. Please apply for full consideration. The ...

Associate Loads and Dynamics Engineer Company: The Boeing Company The Boeing Defense, Space ... test data, and documentation of test results * Support airworthiness activities with regulatory ...

Associate Software Engineer Company: Tapestry - G0G Tapestry Solutions, A Boeing Company, brings ... data science, or computer science and 2+ years of related work experience OR Bachelor's Degree and ...

Associate Software Engineer Company: Tapestry - G0G Tapestry Solutions, A Boeing Company, brings ... data science, or computer science and 2+ years of related work experience OR Bachelor's Degree and ...

Associate Software Engineer Company: Tapestry - G0G Tapestry Solutions, A Boeing Company, brings ... data science, or computer science and 2+ years of related work experience OR Bachelor's Degree and ...

Associate Sales Engineer

Fenton, MO · On-site

$55 - $75/hr

The Associate Sales Engineer is an entry-level technical sales professional responsible for ... Help ensure data integrity and consistency across all sales records and documentation.Support order ...

New

Associate Software Engineer Company: Tapestry - G0G Tapestry Solutions, A Boeing Company, brings ... data science, or computer science and 2+ years of related work experience OR Bachelor's Degree and ...

Showing results 41-60

Associate Data Engineer information

See Berkeley, MO salary details

$9

$17

$28

How much do associate data engineer jobs pay per hour?

As of Sep 4, 2026, the average hourly pay for associate data engineer in Berkeley, MO is $17.59, according to ZipRecruiter salary data. Most workers in this role earn between $14.42 and $18.75 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 cities near Berkeley, MO are hiring for Associate Data Engineer jobs?

Cities near Berkeley, MO with the most Associate Data Engineer job openings:

Infographic showing various Associate Data Engineer job openings in Berkeley, MO as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 13% Part Time, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $36,581 per year, or $17.6 per hour.

Expert Data Scientist

Nestle

Saint Louis, MO • On-site

$130K - $188K/yr

Full-time

Retirement

Re-posted 20 days ago


Key responsibilities

  • Support enterprise-wide AI and machine learning use case creation, deployment, and operationalization across critical business initiatives.

  • Design, train, evaluate, and deploy scalable predictive and Generative AI models for enterprise and consumer-facing applications.

  • Partner with business and commercial leaders to translate strategic priorities into AI solutions and drive adoption across retail and consumer channels.


Job description

Driven by integrity and united by the people-and-pet bond, we find strong purpose in the work we do and an even greater joy in those we get to work alongside. Together, we harness the expertise of our long-standing tradition of excellence to embrace possibility and continuously push to do what's never been done before in pet care. Discover your purpose and fuel your passions when you bring your love of pets to a team that prides itself on the power of togetherness-We are Proudly Connected. Purely Driven.

Position Summary

Digital Transformation is at the center of all that we do. With data-driven innovators passionate about making a difference in the lives of pets, we createcutting-edgedigital business models that solve complex problems.You'llbe at the forefront of digital advancements as they happen in real time, as well as ensure weremaina leader and innovator in the pet care category. Have a hand in making a lasting impact within our long-standing history. 

As an Expert Data Scientist at Nestle Purina,you'llsupport enterprise-wide AI and machine learning use case creation, deployment, and operationalization across critical business initiatives that drive significant value and transformative outcomes. This role sits at the intersection of technical depth and commercial impact, helping build the connected digital space that powers how we reach consumers across channels.You'llbring a consumer lens to your work, partnering with commercial teams to solve challenges across retail and direct consumer engagement, and translating emerging AI technologies into measurable business results. 

  • Lead the development and deployment of advanced machine learning, optimization, and AI solutions to solve complex business problems across the commercial organization 
  • Design, train, evaluate, and deploy scalable predictive and Generative AI models for enterprise and consumer-facing applications 
  • Build and operationalizeLLM-basedsolutions includingretrieval augmented generation(RAG)pipelines, AI agents, copilots, and multimodal AI applications 
  • Partner with business and commercial leaders to translate strategic priorities into AI solutions and drive adoption across retail and consumer channels 
  • Guide model deployment strategies including AIOps/MLOps, monitoring, model governance, and lifecycle management 
  • Develop reusable frameworks, accelerators, and best practices that improve the scalability and maintainability of AI solutions 
  • Mentor junior data scientists and provide thought leadership on emerging technologies such as agentic AI, knowledge graphs, and autonomous decision-making systems 

Requirements 

  • Bachelor's degree in Data Science, Applied Statistics, Mathematics, Computer Science, or a related field 
  • 7+ years of professional experience, with 5+ of those years in data science, advanced analytics, and machine learning 
  • 5+ years of experience with machine learning algorithms and frameworks (e.g., TensorFlow, scikit-learn) for predictive modeling and deploying AI solutions in a production environment 
  • 3+ years of experience in Python/SQL for advanced analytics, data engineering, and model development 
  • 2+ years of experience designing, fine-tuning, evaluating, and deploying LLM-based applications for various data science use cases 
  • 2+ years of experience with cloud computing platforms (e.g., Azure, AWS, GCP) and production AI system design 

Other 

  • Master's or PhD in Data Science, Applied Statistics, Mathematics, Computer Science, or a related field (or an MBA) is preferred 
  • Experience partnering with Marketing, Sales, and Consumer Insights teams to design AI-enabled workflows across areas such as campaign optimization, consumer engagement, pricing and promotion analytics, or digital commerce is preferred 
  • Knowledge of database systems, data warehousing, and distributed computing frameworks (e.g., SQL, NoSQL, Hadoop, Spark, or Ray) is preferred 
  • Understanding of agentic AI, knowledge graphs, and autonomous decision-making systems, along withexpertisein GenAI models (e.g., GANs and diffusion models) and building LLM-based solutions such as RAG pipelines, copilots, and multimodal AI applications, is preferred 
  • Experience operationalizing AI solutions through AIOps/MLOpsframeworks, model governance, and enterprise AI lifecycle management, including responsible AI principles such as fairness, explainability, hallucination detection, and AI risk management, is preferred 

Don'tmeet all the qualifications listed under "Other"? These arepreferred, butnotrequired. When you apply for a role with Nestle, we ensure that individual confidentiality is held to the highest regard. We are intentional about creating an inclusive workplace for everyone. We consider our associates our most valuable assets. Please apply for full consideration.

The approximate pay range for this position is $130,000 to $188,000 per year. Final compensation may vary based on factors including but not limited to knowledge,skillsand abilities as well as geographic location. Nestle offers performance-based incentives and a competitive total rewards package, which includes a 401k with companymatch, healthcarecoverageand a broad range of other benefits. Learn more athttps://nestlejobs.com/nestle-in-the-us 

It is our business imperative to remain a very inclusive workplace.
To our veterans and separated service members, you're at the forefront of our minds as we recruit top talent to join Nestle. The skills you've gained while serving our country, such as flexibility, agility, and leadership, are much like the skills that will make you successful in this role. In addition, with our commitment to an inclusive work environment, we recognize the exceptional engagement and innovation displayed by individuals with disabilities. Nestle seeks such skilled and qualified individuals to share our mission where you'll join a cohort of others who have chosen to call Nestle home.
 

The Nestle Companies are equal employment opportunity employers. All applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or veteran status or any other characteristic protected by applicable law. Prior to the next step in the recruiting process, we welcome you to inform us confidentially if you may require any special accommodations in order to participate fully in our recruitment experience. Contact us at accommodations@nestle.com or please dial 711 and provide this number to the operator: 1-800-321-6467.

This position is not eligible for Visa Sponsorship. 

Review our applicant privacy notice before applying at https://www.nestlejobs.com/privacy.

Job Requisition: 409969