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Remote Data Management Jobs in Berwyn, IL (NOW HIRING)

IQVIA

Senior Data Team Lead (Remote)

Chicago, IL · Remote

$86K - $217K/yr

Lead data management for complex, global clinical trials from study setup to database lock. * Serve as the main client contact for all data management deliverables. * Oversee SAE, PK, and external ...

IQVIA

Senior Data Team Lead (Remote)

Chicago, IL · Remote

$86K - $217K/yr

Lead data management for complex, global clinical trials from study setup to database lock. * Serve as the main client contact for all data management deliverables. * Oversee SAE, PK, and external ...

Allied

Data Analyst - Data Ops

Chicago, IL · On-site +1

$55K - $60K/yr

Working knowledge of data management, data warehousing, and coding languages * Basic experience in ... Remote Here at Allied, we believe that great talent can thrive from anywhere. Our remote friendly ...

Allied

Data Analyst - Data Ops

Chicago, IL · On-site +1

$50K - $55K/yr

Working knowledge of data management, data warehousing, and coding languages * Basic experience in ... Remote Here at Allied, we believe that great talent can thrive from anywhere. Our remote friendly ...

Feed The Children

Data Architect

Chicago, IL · On-site +1

$65.75 - $84.50/hr

The Data Architect is responsible for designing and managing Feed the Children's modern cloud data ... for this remote opportunity. Job Requirements: Education Bachelor's or Master's degree in ...

hightower

Senior Data Architect

Chicago, IL · On-site +1

$150K - $175K/yr

Our Story Founded in 2008, Hightower is a wealth management firm that provides investment ... Hybrid work schedule (Monday- Thursday onsite, Fridays remote) * Free brand-new gym in the Chicago ...

Kemper

Data Quality Engineer

Downers Grove, IL · Remote

$114K - $137K/yr

... Remote-OH, Remote-PA, Remote-RI, Remote-VA Details Kemper is one of the nation's leading ... Test Environment Strategy and Management Support and contribute to enterprise test environment ...

Kemper

Data Quality Engineer

Chicago, IL · Remote

$118K - $141K/yr

... Remote-OH, Remote-PA, Remote-RI, Remote-VA Details Kemper is one of the nation's leading ... Test Environment Strategy and Management Support and contribute to enterprise test environment ...

Wintrust

Principal Data Engineer

Rosemont, IL · On-site +1

$142 - $210/hr

... remote work anywhere in the U.S. will be considered. Responsibilities: * Develop and maintain data solutions on Master Data Management (MDM) platform using best practices. * Perform analysis for data ...

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All JobsData Management JobsRemote Data Management JobsRemote Data Management Jobs in Berwyn, IL

Remote Data Management information

What are some common challenges faced in a remote data management role, and how can they be addressed?

One common challenge in remote data management is ensuring data security and integrity while working outside a traditional office environment. Remote team members must follow strict protocols for data access and regularly update security measures to protect sensitive information. Additionally, effective communication and collaboration with cross-functional teams can be more difficult remotely, so utilizing project management and communication tools is vital. Establishing clear workflows and regular check-ins helps maintain data consistency and team alignment.

What is Remote Data Management?

Remote Data Management refers to the practice of organizing, storing, securing, and analyzing data from a location outside of an organization's physical premises. Professionals in this field use cloud-based tools and remote access software to manage databases, ensure data integrity, and facilitate data sharing among distributed teams. This approach enables businesses to maintain their data infrastructure efficiently while supporting remote work and global collaboration. It also involves implementing protocols to ensure data security and compliance with relevant regulations.

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

AspectRemote Data ManagementData Analyst
CredentialsTypically requires a degree in IT, Computer Science, or related fields; certifications like Microsoft Certified Data Analyst or AWS Data AnalyticsRequires a degree in Statistics, Mathematics, or related fields; certifications like Microsoft Certified Data Analyst Associate or Tableau Desktop Specialist
Work EnvironmentPrimarily remote, working with databases, data warehouses, and cloud platformsRemote or on-site, analyzing data sets, creating reports, and visualizations
Industry UsageUsed across IT, finance, healthcare, and e-commerce sectorsCommon in finance, marketing, healthcare, and consulting industries

Remote Data Management and Data Analysts share overlapping skills in data handling and analytics, but differ mainly in focus. Remote Data Management emphasizes database administration and cloud platforms, while Data Analysts focus on interpreting data and creating insights. Both roles are vital in data-driven organizations and often collaborate to optimize data use.

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

To thrive in Remote Data Management, you need strong analytical skills, attention to detail, and a solid understanding of database concepts, often supported by a degree in information systems or a related field. Proficiency with data management tools such as SQL, Microsoft Excel, and cloud-based platforms like AWS or Google Cloud, as well as knowledge of data privacy regulations, is typically required. Excellent communication, self-motivation, and time management are important soft skills for collaborating with distributed teams and managing tasks independently. These skills ensure accurate, secure, and efficient handling of data assets while maintaining productivity and compliance in a remote work environment.

What Are Remote Jobs in Data Management?

Various types of remote data management jobs are available in healthcare and insurance, with titles like clinical data manager, analyst, and auditor. In these jobs, you manage a database and provide analysis of information related to clinical trials, medical payments, operational activities, and more. Your duties and responsibilities include generating reports, database administration, and providing support for coworkers throughout your organization, but your responsibilities can vary based on what kinds of data you store. Additionally, you work with your company’s leadership to address issues affecting the availability and use of data and proactively suggest strategies for improving efficiency and accuracy. In some roles, you also participate in project planning, resource allocation, and budgeting.

More about Remote Data Management jobs
What job categories do people searching Remote Data Management jobs in Berwyn, IL look for? The top searched job categories for Remote Data Management jobs in Berwyn, IL are:
What cities near Berwyn, IL are hiring for Remote Data Management jobs? Cities near Berwyn, IL with the most Remote Data Management job openings:
Remote Data Management jobs near you
Infographic showing various Remote Data Management job openings in Berwyn, IL as of July 2026, with employment types broken down into 1% As Needed, 83% Full Time, 13% Part Time, 1% Temporary, and 2% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.
Remote Data / Persistence Modernization Engineer

Remote Data / Persistence Modernization Engineer

3B Staffing LLC

West Chicago, IL • Remote

$117K - $140K/yr

Full-time

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

Job description

Job Title: Data / Persistence Modernization Engineer Primary Location: Primarily Remote, Candidates Ideally Reside in Chicagoland Area Position Type: Contract, 6 months with possible extension Overview Looking for a Data / Persistence Modernization Engineer to join our client's cloud modernization initiative. This senior-level consultant will assess stateful application services, data platforms, caching technologies, search solutions, analytics stores, and data-migration patterns associated with both recurring modernization efforts and newly acquired environments. The engineer will determine whether material data dependencies can be migrated directly, bridged temporarily, retained through a controlled exception, replaced with a target-platform service, or require application data-layer refactoring. This role combines architecture assessment, hands-on technical validation, migration planning, risk analysis, and engineering-effort estimation. What You Bring to the Role. (Ideal Experience)
  • Senior-level experience modernizing application data layers and distributed persistence architectures.
  • Deep experience with NoSQL and document-oriented platforms, including:
    • Amazon DynamoDB
    • Amazon DocumentDB
    • MongoDB and MongoDB Atlas
  • Working knowledge of:
    • PostgreSQL and PostgreSQL-based managed services
    • Amazon RDS
    • Google AlloyDB
    • Redis and Amazon ElastiCache
    • OpenSearch
    • Snowflake
    • Amazon Redshift
  • Strong understanding of data-access patterns, schema design, indexing, and partitioning strategies.
  • Experience evaluating consistency models, transaction semantics, and data-model coupling.
  • Knowledge of cache-versus-state classification and the operational implications of each.
  • Hands-on experience with:
    • Change Data Capture
    • Data backfills
    • Dual-write patterns
    • Shadow reads
    • Data reconciliation
    • Tenant isolation
    • Data cutover and rollback strategies
  • Ability to assess application changes required when a managed cloud service cannot be directly reproduced on the target platform.
  • Strong written communication skills with the ability to produce concise, actionable engineering assessments.
  • Experience estimating technical complexity, platform dependencies, migration risks, and future engineering effort.
What You'll Do. (Skills Used in this Position)
  • Assess recurring and acquisition-specific risks related to stateful application services and data platforms.
  • Analyze data models, schemas, indexes, partitions, access patterns, consistency requirements, and transaction behavior.
  • Evaluate dependencies involving databases, caches, search platforms, analytics stores, and managed cloud data services.
  • Determine whether each dependency is:
    • Portable to the target environment
    • Suitable for temporary bridging
    • Eligible for a controlled exception
    • A candidate for replacement
    • Likely to require application refactoring
  • Evaluate dual-running, reconciliation, backfill, and rollback options.
  • Identify required target-platform services, configurations, and technical prerequisites.
  • Perform bounded, non-production technical validation when additional evidence is needed.
  • Assess tenant isolation, data security, migration sequencing, and service availability risks.
  • Estimate the application, platform, data, testing, and operational effort associated with each migration path.
  • Produce concise Engineering Assessment Inputs documenting:
    • Data-model coupling
    • Access-pattern findings
    • Migration options
    • Platform dependencies
    • Cutover and rollback feasibility
    • Key risks and constraints
    • Likely future engineering effort
  • Partner with application teams, cloud platform teams, architects, security stakeholders, and data owners throughout the assessment process.

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