1

Data Processing Services Jobs in Northbrook, IL (NOW HIRING)

Understand and support the underlying business processes and technologies being used within an ... services * Requisite depth in one or more key data platform technologies - Databricks, Google Cloud ...

Data Engineer

Chicago, IL · On-site

$118K - $141K/yr

... services (AWS/Azure) for data processing, storage, and event-driven architectures Operations & SupportMonitor, troubleshoot, and optimize data pipelines and Spark workloads for performance and ...

Design and deliver backend data services and APIs (REST/GraphQL), and contribute across the stack ... Experience with event-driven architectures and streaming/real-time data processing (e.g., Kafka ...

Design and deliver backend data services and APIs (REST/GraphQL), and contribute across the stack ... Experience with event-driven architectures and streaming/real-time data processing (e.g., Kafka ...

... data processing and analysis. You will be responsible for developing and implementing data ... services such as S3, Amazon RDS, DynamoDB, Azure Data Lake Storage, Azure Cosmos DB, Azure SQL DB ...

... data processing and analysis. You will be responsible for developing and implementing data ... services such as S3, Amazon RDS, DynamoDB, Azure Data Lake Storage, Azure Cosmos DB, Azure SQL DB ...

Senior Data Engineer

Chicago, IL · On-site

$70 - $80/hr

Develop and optimize large-scale data processing solutions using Scala, Spark, and SQL on modern ... Implement encryption, key management, and secure handling with cloud-native security services.

Senior Data Engineer

Chicago, IL · On-site

$70 - $80/hr

Develop and optimize large-scale data processing solutions using Scala, Spark, and SQL on modern ... Implement encryption, key management, and secure handling with cloud-native security services.

Senior Data AI Engineer

Chicago, IL · On-site

$118K - $141K/yr

Experience with GCP services (Vertex AI, Dataflow, BigQuery, Cloud Run, Pub/Sub); comfort with distributed computing frameworks (Apache Spark, Dataproc) for large-scale data processing. * Solid ...

... Services. Demonstrated experience in machine learning, predictive modeling, or statistics / data ... data processing (e.g., Spark, Stanford CoreNLP, gensim) Relational database and SQL skills ...

Showing results 21-40

Data Processing Services information

See Northbrook, IL salary details

$12

$20

$35

How much do data processing services jobs pay per hour?

As of Aug 21, 2026, the average hourly pay for data processing services in Northbrook, IL is $20.57, according to ZipRecruiter salary data. Most workers in this role earn between $16.35 and $22.69 per hour, depending on experience, location, and employer.

What is the difference between Data Processing Services vs Data Analysts?

AspectData Processing ServicesData Analysts
Primary RoleHandling data entry, cleaning, and preparation for analysisInterpreting data, generating insights, and creating reports
Required SkillsData management, basic software proficiency, attention to detailStatistical analysis, data visualization, critical thinking
Work EnvironmentData centers, offices, remote data teamsOffices, research teams, business units
CertificationsData management certifications, basic IT skillsData analysis certifications, statistical tools proficiency

Data Processing Services focus on preparing and managing raw data, while Data Analysts interpret this data to provide actionable insights. Both roles are essential in data-driven organizations but serve different functions within the data lifecycle.

What are career opportunities in data processing services?

Careers in data processing services include roles such as data analyst, data entry clerk, database administrator, and data processing technician. These positions often require skills in data management, familiarity with software tools like Excel or SQL, and attention to detail. Opportunities exist across industries such as finance, healthcare, and technology, with some roles requiring certifications or training in data management systems.

What does a data processing services job do?

A data processing services job involves collecting, organizing, and analyzing data to ensure accuracy and usability. It often requires skills in data entry, database management, and familiarity with tools like Excel or specialized software, with attention to detail and data security being important aspects.

What is a data processing service?

A data processing service involves collecting, organizing, and converting raw data into meaningful information for analysis or decision-making. Data processing professionals often use tools like databases, spreadsheets, and programming languages to perform tasks such as data entry, validation, and transformation, ensuring data accuracy and integrity.

What job categories do people searching Data Processing Services jobs in Northbrook, IL look for?

The top searched job categories for Data Processing Services jobs in Northbrook, IL are:

What cities near Northbrook, IL are hiring for Data Processing Services jobs?

Cities near Northbrook, IL with the most Data Processing Services job openings:

Infographic showing various Data Processing Services job openings in Northbrook, IL as of August 2026, with employment types broken down into 1% As Needed, 74% Full Time, 22% Part Time, and 3% Contract. Highlights an 93% Physical, 3% Hybrid, and 4% Remote job distribution, with an average salary of $42,785 per year, or $20.6 per hour.

Data Science/MLOps Engineer

VeeRteq Solutions Inc.

Chicago, IL • On-site

$118K - $141K/yr

Contractor

Posted 2 days ago

New


Job description

Role:  Data Science/MLOps Engineer

Experience: - Min 8+ Years

Location: - Chicago, IL 

We are seeking a highly skilled Senior Engineer with strong expertise in Python, Data Science, AI/ML, and AWS cloud technologies, along with hands‑on experience in Terraform. The role involves building scalable data‑driven and AI/ML solutions, leveraging foundation models and generative AI services, and contributing to cloud infrastructure automation and best engineering practices.

Responsibilities: -

  • Design, develop, and maintain Python‑based applications, data pipelines, and AI/ML solutions.
  • Build, train, evaluate, and deploy machine learning and data science models for production use.
  • Develop and integrate Generative AI solutions using AWS Bedrock, including foundation model selection, prompt engineering, and inference orchestration.
  • Design and manage AWS cloud infrastructure using Terraform following IaC best practices.
  • Build scalable AI/ML and GenAI deployment architectures using AWS services.
  • Develop and optimize data ingestion, processing, and analytics pipelines for structured and unstructured data.
  • Collaborate with cross‑functional teams to translate business and analytical requirements into technical solutions.
  • Implement CI/CD pipelines, monitoring, logging, and performance optimization.
  • Ensure security, compliance, governance, and cost optimization of cloud and AI workloads.
  • Mentor junior engineers, conduct code reviews, and contribute to architectural decisions.
  • Create and maintain technical documentation, solution designs, and operational runbooks.

Educational Qualifications: -

  • Engineering Degree – BE/ME/BTech/MTech/BSc/MSc.
  • Technical certification in multiple technologies is desirable.

Skills: -

Mandatory skills

  • Strong Min 8–10 years of overall software engineering experience.
  • Strong proficiency in Python for backend systems, data processing, and ML workflows.
  • Hands‑on experience in Data Science and Machine Learning, including feature engineering, model evaluation, and deployment.
  • Experience with ML frameworks such as Scikit‑learn, PyTorch, TensorFlow, or similar.
  • Strong experience with AWS services, including EC2, S3, Lambda, ECS/EKS, RDS, SageMaker, and AWS Bedrock.
  • Practical knowledge of AWS Bedrock for building and operationalizing Generative AI applications.
  • Hands‑on experience with Terraform for infrastructure provisioning and environment management.
  • Experience building cloud‑native, scalable, and highly available systems.
  • Solid understanding of data stores (SQL, NoSQL) and data processing architectures.
  • Familiarity with Docker, Kubernetes, and modern DevOps practices.
  • Strong problem‑solving, communication, and collaboration skills 

Good-to-Have Skills

  • Prior experience with clinical, biomedical, or healthcare NLP use cases
  • Familiarity with healthcare data standards, terminologies, or ontologies
  • Experience deploying ML/NLP solutions in regulated or production healthcare environments
  • Knowledge of distributed systems and cloud-native data architectures
  • Experience with additional data stores, data warehouses, or NoSQL technologies
  • Strong technical documentation and stakeholder communication skills
  • Experience working in agile or cross-functional product development teams
VeeRteq Solutions is an Equal Opportunity Employer