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Associate Data Engineer Jobs in Collinsville, IL

The Data Analyst is responsible for servicing ad-hoc data extraction and reporting requests ... developers, bankers, operations associates, among hundreds more. Let's talk about how you can find ...

The Data Analyst is responsible for servicing ad-hoc data extraction and reporting requests ... developers, bankers, operations associates, among hundreds more. Let's talk about how you can find ...

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 ...

Showing results 21-40

Associate Data Engineer information

See Collinsville, IL salary details

$9

$17

$28

How much do associate data engineer jobs pay per hour?

As of Aug 15, 2026, the average hourly pay for associate data engineer in Collinsville, IL is $17.37, according to ZipRecruiter salary data. Most workers in this role earn between $14.28 and $18.51 per hour, depending on experience, location, and employer.

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 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.

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 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 cities near Collinsville, IL are hiring for Associate Data Engineer jobs?

Cities near Collinsville, IL with the most Associate Data Engineer job openings:

Infographic showing various Associate Data Engineer job openings in Collinsville, IL as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $36,128 per year, or $17.4 per hour.

$88K - $123K/yr

Full-time

Medical, Retirement

Re-posted 2 days ago


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 create cutting-edge digital business models that solve complex problems. You'll be at the forefront of digital advancements as they happen in real time, as well as ensure we remain a leader and innovator in the pet care category. Have a hand in making a lasting impact within our long-standing history.
As a Data Scientist at Nestlé Purina, you'll build and deploy the machine learning and optimization models that drive real business value across functions such as Manufacturing, Marketing, Supply Chain, Finance, and Consumer Insights. At the core of this role is traditional machine learning and optimization, building the models and optimization engines that power some of our highest-value business decisions. Working closely with cross-functional teams, you'll translate business problems into scalable analytical solutions, automate insights, and support enterprise decision-making.
  • Develop and deploy machine learning, statistical, and optimization models that solve business problems and improve operational performance
  • Support the development and maintenance of optimization engines that drive high-value business decisions
  • Collaborate with product owners, data engineers, and business stakeholders to translate business needs into scalable analytical solutions
  • Perform data wrangling, feature engineering, exploratory data analysis, and model evaluation using Python and SQL
  • Design and maintain reusable analytics workflows and automated pipelines for production-grade deployment
  • Support GenAI-enabled applications including retrieval augmented generation (RAG), copilots, and intelligent assistants
  • Contribute to AIOps/MLOps practices including model versioning, monitoring, continuous integration and continuous deployment pipelines, and responsible AI processes

Requirements
  • Bachelor's degree from an accredited institution in Data Science, Computer Science, Statistics, Engineering, Mathematics, or a related field
  • 3+ years of professional experience in data science, analytics, or machine learning, including developing optimization or predictive models
  • 3+ years of experience in Python (e.g., scikit-learn, pandas, PySpark, and NumPy) and SQL for data manipulation and analysis
  • 1+ years of experience working with cloud computing platforms (e.g., Azure, AWS, or GCP) and DevOps/CI-CD practices

Other
  • Master's degree in Data Science, Computer Science, Statistics, Mathematics, or a related field is preferred
  • Experience with MLOps tools (e.g., MLflow, Azure ML, SageMaker, or Kubeflow) and model deployment in a production environment is preferred
  • Experience working with Databricks, Snowflake, or distributed data processing environments is preferred
  • Experience building GenAI-enabled applications such as RAG, copilots, or intelligent assistants is preferred
  • Familiarity with LLM orchestration frameworks (e.g., LangChain or Semantic Kernel), prompt engineering, and vector databases is preferred
  • Familiarity with responsible AI practices including bias detection, explainability, and governance is preferred

Don't meet all the qualifications listed under "Other"? These are preferred, but not required. When you apply for a role with Nestlé, 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 $88,000 to $123,000 per year. Final compensation may vary based on factors including but not limited to knowledge, skills and abilities as well as geographic location. Nestlé offers performance-based incentives and a competitive total rewards package, which includes a 401k with company match, healthcare coverage and a broad range of other benefits. Learn more at https://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 Nestlé. 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. Nestlé seeks such skilled and qualified individuals to share our mission where you'll join a cohort of others who have chosen to call Nestlé home.
The Nestlé 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: 409964
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 create cutting-edge digital business models that solve complex problems. You'll be at the forefront of digital advancements as they happen in real time, as well as ensure we remain a leader and innovator in the pet care category. Have a hand in making a lasting impact within our long-standing history.
As a Data Scientist at Nestlé Purina, you'll build and deploy the machine learning and optimization models that drive real business value across functions such as Manufacturing, Marketing, Supply Chain, Finance, and Consumer Insights. At the core of this role is traditional machine learning and optimization, building the models and optimization engines that power some of our highest-value business decisions. Working closely with cross-functional teams, you'll translate business problems into scalable analytical solutions, automate insights, and support enterprise decision-making.
  • Develop and deploy machine learning, statistical, and optimization models that solve business problems and improve operational performance
  • Support the development and maintenance of optimization engines that drive high-value business decisions
  • Collaborate with product owners, data engineers, and business stakeholders to translate business needs into scalable analytical solutions
  • Perform data wrangling, feature engineering, exploratory data analysis, and model evaluation using Python and SQL
  • Design and maintain reusable analytics workflows and automated pipelines for production-grade deployment
  • Support GenAI-enabled applications including retrieval augmented generation (RAG), copilots, and intelligent assistants
  • Contribute to AIOps/MLOps practices including model versioning, monitoring, continuous integration and continuous deployment pipelines, and responsible AI processes

Requirements
  • Bachelor's degree from an accredited institution in Data Science, Computer Science, Statistics, Engineering, Mathematics, or a related field
  • 3+ years of professional experience in data science, analytics, or machine learning, including developing optimization or predictive models
  • 3+ years of experience in Python (e.g., scikit-learn, pandas, PySpark, and NumPy) and SQL for data manipulation and analysis
  • 1+ years of experience working with cloud computing platforms (e.g., Azure, AWS, or GCP) and DevOps/CI-CD practices

Other
  • Master's degree in Data Science, Computer Science, Statistics, Mathematics, or a related field is preferred
  • Experience with MLOps tools (e.g., MLflow, Azure ML, SageMaker, or Kubeflow) and model deployment in a production environment is preferred
  • Experience working with Databricks, Snowflake, or distributed data processing environments is preferred
  • Experience building GenAI-enabled applications such as RAG, copilots, or intelligent assistants is preferred
  • Familiarity with LLM orchestration frameworks (e.g., LangChain or Semantic Kernel), prompt engineering, and vector databases is preferred
  • Familiarity with responsible AI practices including bias detection, explainability, and governance is preferred

Don't meet all the qualifications listed under "Other"? These are preferred, but not required. When you apply for a role with Nestlé, 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 $88,000 to $123,000 per year. Final compensation may vary based on factors including but not limited to knowledge, skills and abilities as well as geographic location. Nestlé offers performance-based incentives and a competitive total rewards package, which includes a 401k with company match, healthcare coverage and a broad range of other benefits. Learn more at https://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 Nestlé. 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. Nestlé seeks such skilled and qualified individuals to share our mission where you'll join a cohort of others who have chosen to call Nestlé home.
The Nestlé 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: 409964