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Data Engineer Remote Contract Jobs in McCook, IL

Sr. Data Engineer

Chicago, IL ยท Remote

$118K - $141K/yr

This is a remote opportunity collaborating with teams based in both the United States and Ireland ... The Data Engineer is responsible for designing, developing, and maintaining the infrastructure and ...

Data Engineer (Azure, Fabric, Databricks)

Chicago, IL ยท On-site +1

$118K - $141K/yr

Role Overview The Data Engineer is responsible for designing, implementing, and supporting modern ... At Collectiv, your career thrives with a perfect blend of remote flexibility, growth potential, and ...

Sr. Data Scientist

Chicago, IL ยท Remote

$85 - $100/hr

Remote Contract Pay: $85/hr - $100/hr The Senior Data Scientist will design and implement AI ... Collaborate with cross-functional teams, including engineering, data, and business stakeholders ...

Requirement - Senior Data Scientist Location- Chicago, IL-Remote Contract W2 Updated JD PURPOSE ... Develop feature engineering logic using structured and unstructured claims and incident data.

Senior Data Engineer (Snowflake)

Chicago, IL ยท On-site +1

$109K - $148K/yr

We offer the convenience of remote work, allowing you to craft a work-life balance that suits your ... We are looking for an experienced Senior Data Engineer with strong expertise in Snowflake to help ...

Sr. Data Engineer

Chicago, IL ยท On-site +1

$109K - $148K/yr

This role is remote-friendly and reports to the Manager, Data & Analytics Engineering. As a Sr. Data Engineer, your primary responsibility is to stay one step ahead of your fellow team members by ...

Senior Data Engineer (Snowflake)

Chicago, IL ยท Remote

$108K - $147K/yr

We offer the convenience of remote work, allowing you to craft a work-life balance that suits your ... We are looking for an experienced Senior Data Engineer with strong expertise in Snowflake to help ...

Backend Engineer - Remote

Chicago, IL ยท Remote

$80 - $120/hr

Remote Job Summary We are seeking experienced Senior Software Engineers to support an AI training ... Strong understanding of algorithms and data structures . * Experience with bug fixing and debugging ...

AI Engineer - Remote

Chicago, IL ยท Remote

$80 - $120/hr

Remote Job Summary We are seeking experienced Senior Software Engineers to support an AI training ... Strong understanding of algorithms and data structures . * Experience with bug fixing and debugging ...

Senior Data Engineer

Chicago, IL ยท On-site +1

$110K - $150K/yr

We're looking for a Senior Data Engineer who operates like an owner and thinks like a Systems ... We are not hiring remote candidates at this time. What You'll Do * Build and own end-to-end data ...

Senior Data Engineer

Chicago, IL ยท On-site +1

$110K - $150K/yr

We're looking for a Senior Data Engineer who operates like an owner and thinks like a Systems ... We are not hiring remote candidates at this time. What You'll Do * Build and own end-to-end data ...

Data Quality Engineer

Chicago, IL ยท Remote

$118K - $141K/yr

... Remote-OH, Remote-PA, Remote-RI, Remote-VA Details Kemper is one of the nation's leading ... Kemper is seeking a Data Quality Engineer specializing in Data Testing and Quality Engineering to ...

Data Quality Engineer

Downers Grove, IL ยท Remote

$114K - $137K/yr

... Remote-OH, Remote-PA, Remote-RI, Remote-VA Details Kemper is one of the nation's leading ... Kemper is seeking a Data Quality Engineer specializing in Data Testing and Quality Engineering to ...

Be Seen First

This is a 6 month, W2 , contract opportunity, with the chance of extension. This mostly ... Cross-layer fluency: backend, frontend, APIs, data, testing, or tooling * Strong written ...

AI/ML Engineer - Remote

Chicago, IL ยท Remote

$200 - $350/hr

Remote Job Summary We are seeking an experienced AI/ML Engineer to build and deploy secure ... Build robust ETL and data pipelines , metadata catalogs, and ontologies for AI training and ...

Showing results 21-40

Data Engineer Remote Contract information

See McCook, IL salary details

$44K

$128.3K

$175.5K

How much do data engineer remote contract jobs pay per year?

As of Sep 5, 2026, the average yearly pay for data engineer remote contract in McCook, IL is $128,267.00, according to ZipRecruiter salary data. Most workers in this role earn between $113,200.00 and $136,000.00 per year, depending on experience, location, and employer.

What is a data engineer remote contract?

A Data Engineer Remote Contract position involves building and maintaining the infrastructure and systems that enable organizations to collect, store, and analyze large amounts of data, all while working remotely. As a contractor, you are typically hired for a specific project or period and are not a permanent employee. This role often includes tasks like designing data pipelines, optimizing database performance, ensuring data quality, and collaborating with data scientists and analysts. Working remotely provides flexibility in location, but contractors are expected to communicate regularly with teams and meet project deadlines.

What are the key skills and qualifications needed to thrive as a data engineer in a remote contract role?

To thrive as a Data Engineer in a remote contract position, you need strong programming skills (such as Python or Java), deep knowledge of database systems, and a background in computer science or a related field. Proficiency with data pipeline tools (like Apache Airflow), cloud platforms (such as AWS or Azure), and ETL processes, along with relevant certifications, is highly valued. Excellent problem-solving abilities, clear communication, and self-motivation are key soft skills, especially when working independently or with distributed teams. These skills ensure the reliable design, development, and maintenance of scalable data systems, which are critical for organizations to leverage data effectively.

What are some common challenges faced by data engineers working remotely on contract assignments?

Data Engineers working remotely on contract assignments often navigate challenges such as aligning with distributed teams across different time zones, ensuring secure access to sensitive data, and maintaining clear communication with stakeholders. Since contractors may work with diverse tech stacks across projects, adapting quickly to new tools and company-specific data infrastructures is essential. Additionally, balancing multiple deliverables and onboarding efficiently without in-person support requires strong self-management and proactive collaboration skills.

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

AspectData Engineer Remote ContractData Analyst Remote Contract
Required CredentialsBachelor's in CS, Data Engineering certificationsBachelor's in Statistics, Data Analysis certifications
Work EnvironmentRemote, collaborative teams, cloud platformsRemote, reporting and visualization tools
Employer & Industry UsageTech, finance, healthcareMarketing, retail, consulting
Common Search & ComparisonYesYes

The main difference between Data Engineer Remote Contract and Data Analyst Remote Contract lies in their focus and skill sets. Data Engineers build and maintain data pipelines and infrastructure, requiring technical skills in cloud platforms and programming. Data Analysts interpret data, create reports, and visualize insights. Both roles are remote and industry-specific, but they serve different functions within organizations.

What are popular job titles related to Data Engineer Remote Contract jobs in McCook, IL?

For Data Engineer Remote Contract jobs in McCook, IL, the most frequently searched job titles are:

What job categories do people searching Data Engineer Remote Contract jobs in McCook, IL look for?

The top searched job categories for Data Engineer Remote Contract jobs in McCook, IL are:

What cities near McCook, IL are hiring for Data Engineer Remote Contract jobs?

Cities near McCook, IL with the most Data Engineer Remote Contract job openings:

Sr. Data Engineer

3B Staffing LLC

Chicago, IL โ€ข Remote

$118K - $141K/yr

Full-time

Posted 11 days ago


Job description

We are looking for recent, hands-on experience using Informatica IDMC, Snowflake, and Microsoft technologies (SQL Server, Synapse, Azure Data Factory, Azure Databricks).

Authorization: USC or Green Card only!

***This is a remote opportunity collaborating with teams based in both the United States and Ireland. Due to the Ireland component, schedule flexibility is essential to accommodate cross-time zone coordination.

Overview:

  • Client Information Technology (IT) vision and strategy consists of 3 pillars, Application Modernization, AI, and Data. In Data, our vision is to enable data-driven decision-making by implementing a firm-wide data strategy that ensures accurate, meaningful reporting and generates actionable insights and opportunities.
  • To realize this vision, IT is establishing a Data & Analytics function underneath the Chief Technology Officer. This organization's goal will be to drive technological innovation, ensure the alignment of technology strategies with business objectives, and enhance the firm's competitive edge.
  • The Data Engineer is responsible for designing, developing, and maintaining the infrastructure and systems required for data storage, processing, and analysis.
  • They play a crucial role in building and managing the data pipelines that enable efficient and reliable data integration, transformation, and delivery for all data users across the enterprise.
  • You will collaborate with various groups within the Technology organization and across the firm to deliver high-value technology solutions and achieve organizational success.

Responsibilities:

  • Designs and develops data pipelines that extract data from various sources, transform it into the desired format, and load it into the appropriate data storage systems
  • Collaborates with architects, data scientists, AI engineers, and analysts to manage data as an asset and optimize models and algorithms for data quality, security, and governance
  • Integrates data from different sources, including databases, data warehouses, APIs, and external systems
  • Ensures data consistency and integrity during the integration process, performing data validation and cleaning as needed
  • Transforms raw data into a usable format by applying data cleansing, aggregation, filtering, and enrichment techniques
  • Optimizes data pipelines and data processing workflows for performance, scalability, and efficiency
  • Monitors and tunes data systems, identifies and resolves performance bottlenecks, and implements caching and indexing strategies to enhance query performance
  • Implements data quality checks and validations within data pipelines to ensure the accuracy, consistency, and completeness of data
  • Takes authority, responsibility, and accountability for exploiting the value of enterprise information assets and of the analytics used to render insights for decision making, automated decisions, and augmentation of human performance

Qualifications:

  • Bachelor's degree in computer science, data science, software engineering, information systems, or related quantitative field
  • 8+ years of overall experience in data engineering - primarily within data including experience with data modelling, ETL/ELT, data integration, master data management/entity management, data quality, data warehousing, analytics (prescriptive, predictive), business intelligence, data science, and governance.
  • Proficiency in programming languages such as C#, Python, SQL, and Java.
  • Experience with Microsoft technologies (SQL Server (IaaS, PaaS), Synapse, CosmosDB, HDInsight, Azure Data Factory, Azure Databricks, Power BI, Fabric), Informatica cloud technologies (CIH, DIH, CDGC, Master Data Management, Data Quality), Snowflake, and other relevant industry leaders.
  • Communicate clearly and concisely with others, including senior leadership, in and outside of the organization in a credible, engaging, and confident manner. Possess the ability to adapt communication style and method as necessary, using the most effective communication method for each situation.
  • Summarize and translate complex, technical information into straightforward language that is simple, memorable, and engaging for various technical and non-technical audiences, helping with interpretation based on anticipated use of the information.
  • Ability to think critically and creatively. Demonstrate skill at using a variety of tools and processes to conduct research and analyses; Recognize trends in complex data and information; Use these insights to identify opportunities and make timely decisions, taking into consideration the short and long-term implications of decisions. Advise key decision makers and influence others using persuasion and negotiation tactics.
  • Take the initiative to make things happen. Proactively look for solutions and help others to think ahead. Accept and seek challenges, step outside of your comfort zone. Think and act strategically to drive the success of the business and enhance our client experience. Be innovative and share ideas for continuous improvement. Look for efficiencies in the way work is completed.
  • Be flexible and work effectively across various types of situations to achieve goals. Navigate through unexpected issues and be responsive to others' needs. Prioritize different work streams and balance short-term versus long-term objectives.
  • Value individual differences and treat everyone with respect and kindness. Be appreciative of others; Strive for humility. Respect diverse backgrounds and ways of thinking. Listen to understand and express genuine interest in other perspectives. Strive to understand and take ownership of how your emotions and actions impact others.
  • Align actions with words and approach work and interactions with others with a positive attitude and an optimistic outlook. Assume positive intent. Stay composed and resilient during challenging times. Respond productively to conflict and have difficult conversations when needed.
  • Distinguish yourself with stakeholders in and outside the firm by growing your personal brand. Look for ways to share knowledge, make an impact, and leverage talents.

Nice to Haves:

  • Certifications in relevant technologies listed above.
  • Previous experience in the professional services or accounting industry.
  • Previous client service or consultative experience.
  • Previous experience working in a managed services provider environment.