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

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 ...

Cognizant

Consulting Principal, AI Architect

Jackson, MS · Remote

$122K - $194K/yr

... and engineering teams to integrate AI solutions with enterprise data platforms, cloud ... Based on this role's business requirements, this is a remote position open to qualified applicants ...

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 ...

Hitachi

Senior Transformer Engineer

Crystal Springs, MS · On-site +1

$87K - $120K/yr

Engineering & Science Job Schedule: Full time Remote: Yes Senior Transformer Engineer The ... Create and review test trip packs, validate test data, and compile reports. * Offer 24/7 technical ...

ABB

Senior Project Engineer

Crystal Springs, MS · Remote

$82K - $108K/yr

Senior Engineering Manager __ In this role, you will act as a design authority for an engineering ... The work model for this role is: Remote {#LI-Remote} This role is contributing to the ...

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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 Jul 13, 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.

Can I work remotely as a data engineer?

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

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 engineer makes $500,000 a year?

Senior data engineers with extensive experience, advanced skills in cloud platforms, and expertise in big data tools can earn salaries approaching or exceeding $500,000 annually, especially in high-cost-of-living areas or within large tech companies. Such compensation often includes bonuses, stock options, and other incentives.

How to make $1000 a week remote?

Remote data engineers can earn $1000 or more per week by working on high-demand projects, leveraging specialized skills in data pipelines, cloud platforms, and programming languages like Python or SQL. Building a strong portfolio, obtaining relevant certifications, and working with multiple clients or on freelance platforms can help increase weekly income. Consistent remote work and advanced expertise are key to reaching this earning level.

Is AI replacing data engineers?

AI is automating certain tasks within data engineering, such as data cleaning and pipeline management, but it does not replace the need for data engineers. Data engineers are essential for designing, building, and maintaining complex data systems, and their expertise in tools like SQL, Python, and cloud platforms remains critical for managing data workflows effectively.

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 job categories do people searching Remote Data Engineering jobs in Brandon, MS look for? The top searched job categories for Remote Data Engineering jobs in Brandon, MS are:
Remote Data Engineering jobs near you
SME Azure Data Engineer

SME Azure Data Engineer

Noblesoft Technologies

Jackson, MS • Remote

$117K - $140K/yr

Contractor

Re-posted 4 days ago

Job description

Role: SME Azure Data Engineer

Location: Jackson, MS 39211 – Remote

Duration: 5 years

 

Bachelor’s degree required 

Position Description:

Design, build, and maintain Azure-based data pipelines using Synapse Analytics to support MSIS and related education systems.

  • Develop and optimize ETL/ELT processes to ingest, transform, and validate K–12 education data from multiple source systems.
  • Implement and manage data models, views, and performance tuning in Azure SQL and Synapse environments.
  • Monitor, troubleshoot, and resolve data pipeline and performance issues.
  • Document data flows, transformations, and technical standards.
  • Collaborate with analysts, reporting teams, and vendors to deliver timely, accurate data for federal and state reporting.

Required Skills:

A minimum of 5 years of experience in the following:

  • Advanced development and orchestration of data pipelines using Azure Data Factory/Synapse or similar cloud based platforms. (pipelines, triggers, integration runtimes, parameterization).
  • Data warehousing and analytics engineering using Azure Synapse Analytics or similar cloud based platforms (dedicated and serverless SQL pools).
  • Strong T-SQL skills, including query optimization, indexing strategies, stored procedures, and performance tuning.
  • Implementation of ETL/ELT frameworks, including incremental loads, CDC patterns, and error handling.
  • Integration of structured and semi-structured data (CSV, JSON, XML) from APIs, SFTP, and vendor systems.
  • Source control and deployment practices using Azure DevOps, Git, and CI/CD pipelines.

Preferred Skills:

  • Experience with student information management systems and K-12 data and reporting
  • Experience with Common Education Data Standards (CEDS)
  • Azure Data Engineer Associate certification