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Remote Data Engineering Jobs in Roxana, IL (NOW HIRING)

Stellar IT Group

BioTech Data Engineer

Saint Louis, MO · On-site

$111K - $133K/yr

Remote The Biotech Data Engineer focuses on designing, building, and maintaining scalable Azure Databricks-based data pipelines and architectures that enable analytics, AI/ML, and reporting across ...

Stellar IT Solutions LLC

Data Scientist

Saint Louis, MO · Remote

$55 - $60/hr

Data Scientist Remote 12 Month Contract to hire Data Scientist - Profile Overview This is a data foundation-heavy Data Scientist role with strong overlap into Data Engineering. What the client is ...

Kobie Marketing

Sr. Data Engineer

Saint Louis, MO · Remote

$108K - $147K/yr

Join a National Top Workplace Named a Top Workplace in the USA and Top Remote Workplace, Kobie is ... Our Data Engineering team builds and maintains the operational data foundation that powers real ...

Kobie Marketing

Sr. Data Engineer

Saint Louis, MO · Remote

$103K - $140K/yr

Join a National Top Workplace Named a Top Workplace in the USA and Top Remote Workplace, Kobie is ... Our Data Engineering team builds and maintains the operational data foundation that powers real ...

Stellar IT Group

Snowflake SME

Saint Louis, MO · On-site

Overview: Snowflake SME 100% Remote Contract Role Overview We are seeking a Snowflake Subject ... Collaborate with data engineers, analysts, and business stakeholders to define requirements.

Stellar IT Group

Data Analyst

Saint Louis, MO · On-site

Remote Interview: Virtual Job Duration: 6 Months Contract Overview: We are seeking a Data Analyst ... Note: This is not a Data Engineer role . Candidates must have a strong analytics and data ...

Stellar IT Group

Data Quality Analyst

Saint Louis, MO · On-site

Remote Duration: 3-6+ months (possible extension) Position Summary We are seeking experienced Data ... engineering, analytics, and business stakeholders to deliver high-quality solutions. Key ...

Kobie Marketing

Director, Product

Saint Louis, MO · Remote

$226K - $237K/yr

Join a National Top Workplace Named a Top Workplace in the USA and Top Remote Workplace, Kobie is ... You will work directly with Product, Data Engineering, Client Services, and Commercial teams to ...

Kobie Marketing

Director, Product

Saint Louis, MO · Remote

$238K - $249K/yr

Join a National Top Workplace Named a Top Workplace in the USA and Top Remote Workplace, Kobie is ... You will work directly with Product, Data Engineering, Client Services, and Commercial teams to ...

Kobie Marketing

AI Engineer

Saint Louis, MO · Remote

Join a National Top Workplace Named a Top Workplace in the USA and Top Remote Workplace, Kobie is ... Partner with data engineers on Snowflake backed retrieval patterns (Cortex Analyst and Cortex ...

Kobie Marketing

AI Engineer

Saint Louis, MO · Remote

Join a National Top Workplace Named a Top Workplace in the USA and Top Remote Workplace, Kobie is ... Partner with data engineers on Snowflake backed retrieval patterns (Cortex Analyst and Cortex ...

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All JobsRemote Data Engineering JobsRemote Data Engineering Jobs in Roxana, IL

Remote Data Engineering information

See Roxana, IL salary details

$42.7K

$124.4K

$170.2K

How much do remote data engineering jobs pay per year?

As of Jun 25, 2026, the average yearly pay for remote data engineering in Roxana, IL is $124,395.00, according to ZipRecruiter salary data. Most workers in this role earn between $109,800.00 and $131,900.00 per year, depending on experience, location, and employer.

How do remote data engineers typically collaborate with other team members across different time zones?

Remote data engineers often work with distributed teams, which requires strong communication and organization skills. They collaborate using tools like Slack, Zoom, and project management platforms to stay aligned on data pipeline development, troubleshooting, and deployment. Regular stand-ups, asynchronous documentation, and clear communication of progress are essential for ensuring everyone is on the same page, regardless of location. Flexibility in working hours and proactive scheduling of meetings help facilitate effective collaboration and project delivery.

What is remote data engineering?

Remote data engineering involves designing, building, and maintaining data systems and pipelines while working from a location outside of a traditional office. Remote data engineers use tools to collect, process, and store large sets of data, making it accessible for analysis and business decision-making. They collaborate with teams virtually, often using cloud-based technologies, to ensure that data infrastructure is reliable, scalable, and secure. This role requires strong technical skills in programming, databases, and data architecture, as well as the ability to communicate effectively in a distributed work environment.

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

To thrive as a Remote Data Engineer, you need strong programming skills (such as Python, Java, or Scala), experience with data modeling, ETL processes, and a solid understanding of database systems, often supported by a degree in computer science or a related field. Proficiency with big data tools like Apache Spark, Hadoop, cloud platforms (AWS, Azure, GCP), and certifications in these technologies is highly valued. Excellent problem-solving abilities, self-motivation, and clear communication are crucial soft skills for remote collaboration and project delivery. These competencies ensure effective data pipeline development, reliable data management, and seamless teamwork across distributed environments.

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

AspectRemote Data EngineeringRemote Data Analyst
Required CredentialsBachelor's in CS, Data Science, or related field; experience with SQL, Python, cloud platformsBachelor's in Statistics, Data Science, or related; proficiency in Excel, SQL, visualization tools
Work EnvironmentBuilds data pipelines, manages databases, works with cloud infrastructureAnalyzes data sets, creates reports, visualizes data insights
Employer & Industry UsageTech companies, finance, healthcare, e-commerceMarketing agencies, finance, retail, consulting

Remote Data Engineering focuses on designing and maintaining data infrastructure, while Remote Data Analysts interpret data to provide insights. Both roles require strong analytical skills but differ in technical depth and responsibilities.

What are popular job titles related to Remote Data Engineering jobs in Roxana, IL? For Remote Data Engineering jobs in Roxana, IL, the most frequently searched job titles are:
What cities near Roxana, IL are hiring for Remote Data Engineering jobs? Cities near Roxana, IL with the most Remote Data Engineering job openings:
Remote Data Engineering jobs near you
Remote Data Analyst/ Dashboard Developer

Remote Data Analyst/ Dashboard Developer

TriOptus LLC

Saint Louis, MO • On-site, Remote

Other

This job post has expired 1 day ago. Applications are no longer accepted.

Job description

Job Code - Data Analyst / Dashboard Developer
Duration - 3 year contract
Description: The Continuous Improvement team is seeking an energetic and experienced individual for a position in data analytics. This role is responsible for analyzing data, identifying, and resolving data discrepancies, across multiple business applications specializing in transforming reporting and analytics across key areas of the business. This role will be involved in improving, and arming our leaders with the right reports, tools, and insights to drive the business. It entails applying rigor to the existing reporting and analytics landscape and understanding how to realize benefits across visualization, automation, and consumption of information that ultimately promote a stronger and healthier data culture.
Overview: Our team is responsible for the continuous improvement of the lean agile operating model and delivery teams to optimize Strategic Platform Team's effectiveness of executing on agile principles with a focus on Testing, DevOps and Release Management. The team develops and tracks process performance measures, identifies and implements process requirements, drives process improvements and adoption of Best Practices.
Responsibilities
  • Develop, design, and maintain PowerBI dashboards and analytics
  • Collect, refine, and prepare data for analytics and visualization
  • Manage and utilize the PowerBI platform to extract meaningful insights from it
  • Prepare reports using various visualization and data modeling methods
  • Connecting data sources, importing data, and transforming data for Business intelligence.
  • Determines and documents data mapping rules for movement of medium to high complexity data between applications.
  • Investigates and resolves data issues across platforms and applications, including discrepancies of definition, format and function.
  • Discuss the requirements effectively with the client teams, and with internal teams.

Top Skills
  • Bachelor's degree in Computer Science, Statistics, Mathematics, or another quantitively-oriented degree
  • Minimum of Three (2) years of experience leveraging Tableau or PowerBI.
  • Minimum of Three (2) years of experience leveraging advanced SQL in a previous role.
  • Minimum of One (1) year of experience leveraging automation and ETL jobs to assist in data transformation and clean-up.
  • Minimum of One (1) year of experience using ML (machine learning), statistical predictive modeling, multivariate/regression, clustering, time series/survival analysis.
  • Preferred: Mastery of SQL and Python (NumPy, Pandas)
  • Experience working with extremely large datasets in a fast-paced, entrepreneurial and fluid environment.
  • Experience in client engagements, interpreting client's business challenges, and recommendations for business stakeholders.
  • Experience developing visualization such as reports, charts, tables, and other visual aids in support of findings.
  • Strong analytical and problem-solving skills with a demonstrable passion to dig into terabytes of data and quickly construct tools.
  • Proven excellence at formulating, understanding, and solving complex, non-routine problems.
  • Outstanding organization and presentation skills.
  • Strong written and verbal communication skills.

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