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Remote Data Jobs in DeKalb, IL (NOW HIRING)

Harris

(Remote) GIS Developer

Oregon, IL · Remote

Configure and manage map services and data publishing workflows to ensure timely and accurate data ... Remote work and more! About DataVoice: DataVoice International's integrated utility management ...

Harris

(Remote) GIS Developer

Oregon, IL · Remote

Configure and manage map services and data publishing workflows to ensure timely and accurate data ... Remote work and more! About DataVoice: DataVoice International's integrated utility management ...

CSAA

Marketing Engagement Partner - Remote

Oregon, IL · Remote

Analyze and interpret marketing performance data across Club programs and initiatives to identify ... We embrace a remote-first culture through our Flexible Workplace. Most employees hold Home-Flex ...

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All JobsData JobsRemote Data JobsRemote Data Jobs in DeKalb, IL

Remote Data information

See DeKalb, IL salary details

$45.1K

$162K

$239K

How much do remote data jobs pay per year?

As of Jul 26, 2026, the average yearly pay for remote data in DeKalb, IL is $161,965.00, according to ZipRecruiter salary data. Most workers in this role earn between $131,000.00 and $166,900.00 per year, depending on experience, location, and employer.

What are some common challenges faced when working as a Remote Data Analyst, and how can they be addressed?

Remote Data Analysts often face challenges such as maintaining effective communication with team members, managing access to secure data, and staying aligned with project goals across different time zones. These can be addressed by leveraging collaboration tools like Slack or Microsoft Teams, following strict data security protocols, and participating in regular virtual meetings to ensure everyone is on the same page. Proactive communication and strong organizational skills are key to thriving in a remote data role.

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

AspectRemote DataRemote Data Analyst
Required CredentialsBachelor's in Data Science, Computer Science, or related field; knowledge of databases and data toolsBachelor's in Data Science, Statistics, or related; proficiency in data analysis tools like Excel, SQL, and visualization software
Work EnvironmentRemote, often independent, with collaboration via online platformsRemote, involves analyzing data sets, creating reports, and communicating findings
Employer & Industry UsageTech companies, finance, healthcare, and e-commerceBusiness, marketing, finance, and tech sectors

Remote Data generally refers to roles focused on managing and processing data, while Remote Data Analyst emphasizes analyzing data to generate insights. Both roles often require similar educational backgrounds and work remotely, but Data Analysts typically focus more on interpreting data and creating reports for decision-making.

How can I make 2000 a week working from home?

Remote data roles such as data analyst or data scientist can offer high earning potential, with experienced professionals earning $2,000 or more weekly through project-based work, consulting, or full-time employment. Building skills in data analysis tools, programming languages, and obtaining relevant certifications can help increase earning capacity, especially when working independently or in specialized niches.

Are there real remote data entry jobs?

Yes, remote data entry jobs are available and involve inputting information into digital systems from home. These roles typically require basic computer skills, attention to detail, and sometimes familiarity with spreadsheet or database software. Legitimate positions are often posted on reputable job boards and do not require upfront fees.

How to make $1000 a week remotely?

Remote data roles such as data analyst or data scientist can generate $1000 or more weekly with experience, strong analytical skills, and proficiency in tools like Excel, SQL, or Python. Achieving this income often involves freelance projects, contract work, or full-time positions with high pay rates, and may require certifications or specialized knowledge in data management and analysis.

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

To thrive as a Remote Data Analyst, you need strong analytical skills, proficiency in statistics, and a background in data science or a related field. Familiarity with data analysis tools such as Python, R, SQL, and platforms like Tableau or Power BI, along with relevant certifications, is typically required. Excellent self-motivation, time management, and communication skills help you stand out in a remote environment. These capabilities are crucial for delivering accurate insights, collaborating effectively from a distance, and meeting business objectives efficiently.

Is 40 too late for data science?

Age is not a barrier to entering data science, and many professionals start or transition into the field later in life. Success depends on acquiring relevant skills such as programming, statistics, and machine learning, often through online courses or certifications, regardless of age.

What are remote data jobs?

Remote data jobs are positions that involve collecting, analyzing, managing, or interpreting data while working from a location outside the traditional office environment. These roles can include data analysts, data scientists, data entry specialists, and database administrators, among others. Remote data professionals use online tools and platforms to access and process data, collaborate with teams, and deliver insights or reports. This flexible work arrangement allows individuals to contribute to data-driven projects from anywhere with an internet connection.
What are the most commonly searched types of Data jobs in DeKalb, IL? The most popular types of Data jobs in DeKalb, IL are:
What are popular job titles related to Remote Data jobs in DeKalb, IL? For Remote Data jobs in DeKalb, IL, the most frequently searched job titles are:
What job categories do people searching Remote Data jobs in DeKalb, IL look for? The top searched job categories for Remote Data jobs in DeKalb, IL are:
What cities near DeKalb, IL are hiring for Remote Data jobs? Cities near DeKalb, IL with the most Remote Data job openings:
Remote Data jobs near you
Infographic showing various Remote Data job openings in DeKalb, IL as of July 2026, with employment types broken down into 1% As Needed, 80% Full Time, 15% Part Time, 1% Temporary, 2% Contract, and 1% Nights. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $161,965 per year, or $77.9 per hour.
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.

Apply