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Remote Data Engineering Jobs in Brandon, MS (NOW HIRING)

Rebellion Defenses

Remote Data Scientist

Jackson, MS · On-site +1

Proficiency in programming languages such as Python or R. * Strong understanding of statistical ... Experience with data visualisation tools such as Tableau or Power BI. * Excellent problem-solving ...

Noblesoft Technologies

SME Azure Data Engineer

Jackson, MS · Remote

$117K - $140K/yr

Jackson, MS 39211 - Remote Duration: 5 years Bachelor's degree required Position Description ... Data warehousing and analytics engineering using Azure Synapse Analytics or similar cloud based ...

Noblesoft Technologies

Android Mobile Developer

Jackson, MS · Remote

$57 - $75/hr

Jackson, MS 39211 - Remote Duration: 4 months Required Skills: Acquire knowledge of programming ... Prepare test data and validate software for accuracy. Perform other duties as assigned. Bachelor ...

Kanak Elite Services Inc

PowerBI developer

Jackson, MS · Remote

TITLE - POWERBI DEVELOPER LOCATION - JACKSON-MS - REMOTE DURATION - 5 YEARS CONTRACT Position ... This role requires a deep understanding of Power BI Data models, report creation, and visualization ...

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All JobsData Engineering JobsRemote Data Engineering JobsRemote Data Engineering Jobs in Brandon, MS

Remote Data Engineering information

See Brandon, MS salary details

$43K

$125.3K

$171.4K

How much do remote data engineering jobs pay per year?

As of Aug 8, 2026, the average yearly pay for remote data engineering in Brandon, MS is $125,268.00, according to ZipRecruiter salary data. Most workers in this role earn between $110,600.00 and $132,800.00 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?

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.

Can you work remotely as a data engineer?

Yes, remote data engineering roles are common, allowing professionals to work from various locations. These jobs often require strong skills in SQL, cloud platforms, and data pipeline tools, and may involve collaboration through online communication tools.

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 Brandon, MS? For Remote Data Engineering jobs in Brandon, MS, the most frequently searched job titles are:
Remote Data Engineering jobs near you
Infographic showing various Remote Data Engineering job openings in Brandon, MS as of June 2026, with employment types broken down into 1% As Needed, 93% Full Time, 3% Part Time, and 3% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $125,268 per year, or $60.2 per hour.

Remote Data Scientist

Rebellion Defenses

Jackson, MS • On-site, Remote

Full-time

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

Job description

Overview

We are seeking a talented individual to join our team as a data professional who will harness the power of data to drive decision-making and innovation. This position offers the flexibility of working remotely while contributing to meaningful projects that impact our clients and the wider community.

Key Responsibilities
  • Analyse large datasets to derive actionable insights and support strategic initiatives.
  • Develop and implement predictive models and machine learning algorithms.
  • Collaborate with cross-functional teams to identify opportunities for leveraging data.
  • Communicate findings and recommendations to stakeholders in a clear and concise manner.
  • Continuously monitor and improve existing data processes and systems.
Requirements
  • Proven experience in data science or a related field.
  • Proficiency in programming languages such as Python or R.
  • Strong understanding of statistical methods and machine learning techniques.
  • Experience with data visualisation tools such as Tableau or Power BI.
  • Excellent problem-solving skills and attention to detail.
Nice to have
  • Experience with big data technologies such as Hadoop or Spark.
  • Familiarity with cloud platforms like AWS or Azure.
  • Strong communication skills and the ability to work collaboratively in a remote environment.
Salary: 40000 - 149997 USD Per annum

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