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Remote Big Data Engineer Jobs in Lexington, SC (NOW HIRING)

Self-motivated, proactive, and able to work independently in a remote environment * Passionate ... If you would like more information about how your data is processed, please contact us. apply for ...

Remote micro1 is engaging Computational Biology & Cheminformatics Experts to contribute their ... clinical data sources. * Provide expert insights on structure-activity and structure-property ...

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Remote Big Data Engineer information

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$13

$53

$75

How much do remote big data engineer jobs pay per hour?

As of Aug 15, 2026, the average hourly pay for remote big data engineer in Lexington, SC is $53.91, according to ZipRecruiter salary data. Most workers in this role earn between $45.87 and $60.72 per hour, depending on experience, location, and employer.

What is a remote big data engineer?

A Remote Big Data Engineer designs, develops, and manages large-scale data processing systems while working from a remote location. They build data pipelines, optimize data storage, and ensure efficient data processing for analytics and machine learning applications. Their role involves working with technologies like Hadoop, Spark, and cloud platforms to handle massive datasets. Effective communication and collaboration with distributed teams are essential for success in this role.

What challenges do remote big data engineers face and how can they be managed?

Remote Big Data Engineers often navigate challenges such as collaborating across different time zones, ensuring secure and efficient data transfer, and maintaining clear communication with distributed teams. Staying up to date with rapidly evolving technologies and troubleshooting complex data pipeline issues without in-person support can also be demanding. Successful engineers manage these challenges by leveraging robust project management tools, fostering transparent communication, and participating in ongoing training or knowledge-sharing sessions. By proactively addressing these hurdles, they contribute to smoother project delivery and continuous team collaboration.

What skills and qualifications are needed to be a remote big data engineer?

To thrive as a Remote Big Data Engineer, you need a strong background in computer science, data engineering, and programming languages such as Python, Java, or Scala, often supported by a relevant degree. Expertise in big data technologies like Hadoop, Spark, Kafka, and cloud platforms (AWS, Azure, or GCP), along with certifications like Google Professional Data Engineer or AWS Certified Big Data, is highly valuable. Exceptional problem-solving abilities, self-motivation, and effective remote communication skills allow you to excel in distributed teams. These skills and qualities enable you to efficiently manage, analyze, and derive insights from massive datasets in a remote work environment.

What are popular job titles related to Remote Big Data Engineer jobs in Lexington, SC?

For Remote Big Data Engineer jobs in Lexington, SC, the most frequently searched job titles are:

What job categories do people searching Remote Big Data Engineer jobs in Lexington, SC look for?

The top searched job categories for Remote Big Data Engineer jobs in Lexington, SC are:

IT - DES - System Software Programmer - Advanced

SUNSHINE ENTERPRISE USA LLC

Columbia, SC • Remote

Contractor

Re-posted 17 days ago


Job description

Job Title: System Software Programmer Location: Remote Position Type: C2C/W2 Years of Experience:10+ years Duration of the Contract: 12 months Candidate Location: Candidate MUST be a resident of a state that aligns with Eastern or Central Time. Project Scope: The System Software Programmer will independently perform analysis, design, implementation, modification, and maintenance of agency software systems, including technical support for required federal data transmittals. This role will lead data migration and software implementations, mentor junior team members, and primarily support Bureau of Water systems, including SDWIS, WQX, SWIFT, and DW-SFTIES.

The programmer will actively participate in cross-functional discussions to effectively meet the needs of internal and external stakeholders. Key Responsibilities: Strong troubleshooting, debugging, and analytical skills Solid understanding of the Software Development Life Cycle (SDLC) Ability to analyze and organize complex technical data effectively Expertise in developing and executing software test cases Experience maintaining and upgrading legacy applications Strong collaboration skills with users, vendors, and IT teams Experience planning, directing, and reviewing technical team work Experience with software security standards and best practices Leadership experience within technical teams Ability to communicate and coordinate with non-IT business units Subject matter expertise in complex systems and enterprise applications Experience estimating development effort and project scope Creative problem solver with flexibility to learn new tools and technologies Software Development and Support, Collaboration & Mentorship, Migration Support, Documentation & Continuity, Data Security & Integrity Required Skills & Experience: 8 years' experience with government IT projects as a software developer, software engineer or related field 8 years' experience in building and optimizing SQL statements and stored procedures 3 years' experience supporting Water Quality/Safety Information Systems, preferably in a government setting Working knowledge of ASP.NET, .NET, and C#, HTML, and CSS Preferred Skills: Experience implementing, configuring and supporting SDWIS, Water Quality Exchange (WQX), SWIFT, and DW-SFTIES Experience with Apache Tomcat and Java Experience using service/help desk ticket platforms and Microsoft Office products. Experience working/collaborating with the Environmental Protection Agency (EPA) Education: A bachelor's degree in computer science, computer engineering or a related field and experience in computer software development, modification, and maintenance

Relevant experience may substitute for the bachelor's degree on a year-for-year basis.