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Remote Data Optimization Jobs in Illinois (NOW HIRING)

RIT Solutions, Inc.

Senior Data Engineer

Chicago, IL · On-site +1

$109K - $148K/yr

This position requires a strong commitment to working full-time onsite (with potential remote ... Experience with monitoring and optimizing GCP resources for cost management.

MSR Technology Group

ETL Data Engineer

Springfield, IL · Remote

$113K - $136K/yr

Senior Data Engineer - Azure / Python ETL Modernization Remote (U.S.) with Minimal travel (2-3x per ... Advanced SQL (complex transformations, optimization, performance tuning) * Experience working with ...

Milliman

Data Engineer (MedInsight)

Chicago, IL · On-site +1

$93K - $177K/yr

Experience troubleshooting and optimizing data workflows for performance and reliability. * Strong ... Location This role can be remote within the U.S. The expected application deadline for this job is ...

Purple Drive

Senior Data Engineer (Databricks)

Chicago, IL · Remote

$107K - $147K/yr

Chicago, IL / Remote Job Type: Full-Time Job Summary We are seeking a highly skilled Senior Data ... Knowledge of performance optimization, monitoring, and cost management Key Responsibilities

CBRE

Occupancy & Space Data Manager (Remote)

Chicago, IL · On-site +1

$125K/yr

Identify opportunities to maximize data usage, applying modeling and optimization methods to develop new strategies and improve business performance. Identify and troubleshoot data integration and ...

Apex Systems

Senior Data Scientist

Chicago, IL · On-site +1

Remote in US working CST hours Duration : 12 month contract w/extension Role Overview The Senior ... Exposure to hospitality, travel, or service industry data and optimization use cases. * A strong ...

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All JobsRemote Data Optimization JobsRemote Data Optimization Jobs in Illinois

Remote Data Optimization information

What is a Remote Data Optimization specialist?

A Remote Data Optimization specialist is a professional who works remotely to analyze, refine, and improve data systems and processes for organizations. Their main goal is to enhance the efficiency, accuracy, and usability of data, often by cleaning datasets, streamlining data flows, and implementing best practices for data management. They may use various tools and techniques to ensure data integrity and improve how data is stored, accessed, and utilized. These specialists often collaborate with data analysts, engineers, and business teams to support data-driven decision-making.

What is a data optimization job example?

A data optimization job involves analyzing and improving data quality, structure, and storage to enhance efficiency and accuracy. For example, optimizing database queries or cleaning large datasets using tools like SQL or Python helps ensure faster data retrieval and better decision-making.

What are some common challenges faced by professionals in remote data optimization roles, and how can they be addressed?

Remote data optimization professionals often encounter challenges such as coordinating with distributed teams, ensuring data accuracy across different systems, and managing time effectively without in-person supervision. To address these, it's important to establish clear communication channels, use collaborative tools for data sharing and project tracking, and set regular check-ins with team members. Additionally, staying updated on best practices and automation tools can help streamline workflows and enhance data quality, making remote work more efficient and productive.

What is remote optimization?

Remote optimization in a data optimization role involves analyzing and improving data processes, storage, and workflows from a remote location. It often requires skills in data analysis tools, programming, and cloud-based platforms to enhance efficiency and accuracy without being on-site.

How can I make 2000 a week working from home?

A remote data optimization professional can earn $2,000 or more weekly by working on high-demand projects, optimizing large datasets, and utilizing skills in data analysis, SQL, and automation tools. Achieving this income level often requires experience, a strong portfolio, and the ability to handle multiple clients or projects simultaneously.

Is remote data entry a real job?

Remote data entry is a legitimate job that involves inputting, updating, and managing data from a remote location using computers and data management software. It often requires attention to detail, basic computer skills, and familiarity with tools like spreadsheets or database systems.

What are the key skills and qualifications needed to thrive as a Remote Data Optimization Specialist, and why are they important?

To excel as a Remote Data Optimization Specialist, you need a solid background in data analysis, strong proficiency in statistics, and experience with optimization techniques, typically supported by a degree in data science, mathematics, or a related field. Familiarity with data visualization tools (like Tableau or Power BI), programming languages (such as Python or R), and database systems is commonly required. Strong problem-solving abilities, attention to detail, and effective communication skills set top performers apart in this role. These competencies are vital for translating complex data into actionable insights and driving efficiency improvements from a remote environment.

What is the difference between Remote Data Optimization vs Remote Data Analyst?

AspectRemote Data OptimizationRemote Data Analyst
Primary FocusImproving data storage, retrieval, and processing efficiencyAnalyzing data to identify trends and generate reports
Required SkillsData management, database tuning, scriptingData analysis, visualization, statistical skills
CertificationsDatabase certifications, data management credentialsData analysis certifications, SQL proficiency
Work EnvironmentTechnical teams, IT departments, data warehousesBusiness units, marketing, finance teams

Remote Data Optimization specialists focus on enhancing data systems' performance, while Remote Data Analysts interpret data to support decision-making. Both roles require strong technical skills, but their core responsibilities differ significantly, making them distinct career paths within data management and analysis.

What are the most commonly searched types of Data Optimization jobs in Illinois? The most popular types of Data Optimization jobs in Illinois are:
What are popular job titles related to Remote Data Optimization jobs in Illinois? For Remote Data Optimization jobs in Illinois, the most frequently searched job titles are:
What job categories do people searching Remote Data Optimization jobs in Illinois look for? The top searched job categories for Remote Data Optimization jobs in Illinois are:
What cities in Illinois are hiring for Remote Data Optimization jobs? Cities in Illinois with the most Remote Data Optimization job openings:
Remote Data Optimization jobs near you
Infographic showing various Remote Data Optimization job openings in Illinois as of June 2026, with employment types broken down into 86% Full Time, 13% Part Time, and 1% Contract. Highlights an 89% Physical, 3% Hybrid, and 8% Remote job distribution.

Senior Data Engineer

RIT Solutions Inc/ Tech Dev IT/ Texperts Inc/ConceptsIT, Inc.

Chicago, IL • On-site, Remote

$109K - $148K/yr

Other

This job post has expired today. Applications are no longer accepted.

Job description

Senior Data Engineer
Chicago, IL Onsite Need Local
Job Description
Senior Data Engineer
We are seeking a Senior Data Engineer to lead the design, development, and maintenance of scalable, high-performance data solutions focused on Data Centralization, Governance, and Integrity. This is a highly technical role requiring expertise in Google Cloud Platform (GCP) native services (BigQuery, Dataflow, Dataproc) to build automated, cost-efficient, and complex data pipelines. The ideal candidate will be a technical leader, making key architectural decisions, implementing robust data frameworks, and mentoring junior engineers. This position requires a strong commitment to working full-time onsite (with potential remote flexibility on Fridays) and leveraging data engineering expertise to drive business insights and analytics.
Key Requirements
  • Experience & Education:
    • 5-6 years of experience as a Data Engineer or in a comparable Business Intelligence role.
    • Bachelor of Science in Information Technology, Computer Science, or a related technical field.
  • Cloud & Pipeline Expertise (Required):
    • Proficiency with GCP (Google Cloud Platform) offering is required
    • Expertise in designing and building large-scale, automated data pipelines using GCP native services (e.g., BigQuery, Dataflow, Dataproc).
    • Experience with Terraform to create and maintain intermediate to advanced infrastructure-as-code scripts is a plus
  • Database & Coding Skills:
    • 4-5 years minimum experience with relational databases ( MS-SQL, Postgres, or Oracle).
    • 3-4 years of experience with NoSQL databases ( Capella or MongoDB).
    • 2-3 years of experience with Python or a similar language.
    • Ability to work with multi-statement complex queries and enhance performance/troubleshoot issues.
  • Architecture & Governance:
    • Proven ability to make key architectural decisions related to data modeling, storage, and real-time processing.
    • Experience assisting with data governance, quality, and lineage practices using tools like Data Catalog, DLP, or Cloud Audit Logs.
    • Experience translating business requirements into technical design documents.
  • Work Schedule & Location:
    • Full-time onsite commitment required (Monday-Friday, 8a-5p), with remote flexibility for Fridays pending manager approval.
  • Desired Experience (Bonus):
    • Experience in the logistics or transportation industry (1-3 years).
    • Proven ability to mentor junior engineers and provide technical guidance.
    • Experience with monitoring and optimizing GCP resources for cost management.

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