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Remote Big Data Engineer Jobs Near Me

Experience with Big Data / Distributed / cloud technology (AWS Big data services like lambda, glue ... Certified AWS Cloud Practitioner, Developer or Solutions Architect strongly preferred ABOUT US ...

Sr Databricks Data Engineer

Columbus, OH

$110K - $132K/yr

Evaluate, pilot, and integrate new big data and analytics technologies, ensuring the organization remains at the cutting edge. Lead, coach, and develop teams of data engineers and architects ...

You will interface with security Big Data environments, aiding in their design and configuration to ... engineers, database architects, data analysts, and data scientists and will ensure optimal data ...

Big Data Training and Placement

Columbus, OH · On-site

$51.25 - $66.50/hr

We are looking to fill a Software Developer position with the fresh and experienced graduates that who have basic technical skills. We even provide training sessions. Additional Information All your ...

Data Engineer

Columbus, OH · On-site

$110K - $132K/yr

Data Engineer - GE08AE We're determined to make a difference and are proud to be an insurance company that goes well beyond coverages and policies. Working here means having every opportunity to ...

DATA ENGINEER

Delaware, OH · On-site

$108K - $130K/yr

Data Engineer Healthcare (2-3 Years Experience) Company: AaraTech Inc About the Role AaraTech Inc is seeking a motivated Data Engineer Healthcare (2-3 years experience) to support healthcare data ...

... with big data engineering tools - Proficiency in SQL and data visualization tools - Experience in designing advanced analytics solutions - Coaching and collaborating with team members Travel ...

Data Engineer

Columbus, OH · Remote

$110K - $132K/yr

Of note, our Data Engineering Team is a highly technical group of results driven Engineers, Analysts and Architects focused on providing our internal and external clients with high quality ...

Data Engineer

Columbus, OH · On-site +1

$110K - $132K/yr

Of note, our Data Engineering Team is a highly technicalgroup of results driven Engineers, Analysts and Architectsfocused on providing our internal and external clients with high quality, repeatable ...

Data Engineer

Columbus, OH · Remote

$110K - $132K/yr

Of note, our Data Engineering Team is a highly technical group of results driven Engineers, Analysts and Architects focused on providing our internal and external clients with high quality ...

Data Engineer

Columbus, OH · On-site +1

$110K - $132K/yr

Of note, our Data Engineering Team is a highly technicalgroup of results driven Engineers, Analysts and Architectsfocused on providing our internal and external clients with high quality, repeatable ...

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Remote Big Data Engineer information

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

As of Jul 26, 2026, the average hourly pay for remote big data engineer in the United States is $62.98, according to ZipRecruiter salary data. Most workers in this role earn between $53.61 and $70.91 per hour, depending on experience, location, and employer.
What cities are hiring for Remote Big Data Engineer jobs? Cities with the most Remote Big Data Engineer job openings:
What states have the most Remote Big Data Engineer jobs? States with the most job openings for Remote Big Data Engineer jobs include:
What are the most commonly searched types of Big Data Engineer jobs? The most popular types of Big Data Engineer jobs are:
A map of the United States highlighting the number of Remote Big Data Engineer job openings by state according to ZipRecruiter. The image is accompanied by a detailed chart listing the number of Remote Big Data Engineer job openings in each state, with California having the most at 2 and Hawaii the least at 0.
Big Data with Scala

$54 - $71.25/hr

Full-time

Posted 29 days ago


Job description

Please find the requirement below. let me know your interest with Updated resume
Top Three Skills:
1. SCALA Developer who has used Spark, and has a strong understanding of Kafka ... ***will consider strong JAVA
2. Data Engineering - moving data from source systems (SAP, WMS, Order Mgt., Oracle/DB2). This person would also need to engineer and stage it.
3. Hadoop - on prem., MapR distribution (would also look at experience w/HortonWorks or Cloudera)
4. Experience pulling data from Supply Chain systems
Job Description:
L Brands is looking for a Big Data Engineer responsible for supporting Big Data analytics. Work closely with business partners to translate complex functional and technical requirements into high performing Big Data systems. Work on multiple projects as a technical lead
to develop, test, and deliver Big Data solutions.
Additional Information:
-Conducts logical and physical database design
-Identifies unique opportunities to collect new data.
-Designs ETL processes and data pipelines to build large, complex data sets.
-Strategizes new uses for data and its interaction with data design.
-Finds new uses for existing data sources.
-Conducts statistical modeling and experiment design.
-Discovers "stories" told by the data and presents them to business partners
-Tests and validates predictive models.
-Builds data visualization prototypes.
-Implements automated processes for efficiently producing scale models.
-Designs, modifies and builds new dataprocesses.
-Implement, configure, administer, monitor Hadoop clusters
-Implements new or enhanced software designed to access and handle data more efficiently.
-Prepare and communicate status, issues, and opportunities to the business.
-Provides technical assistance to junior team members
-Create, refine and enforce data management standards, policies, and procedures.
-Evaluates emerging Big Data technologies to develops next-generation Big Data analytics framework
-Responsible for problem escalation to appropriate L Brands teams and third parties as appropriate.
-Provide 24x7 on-call support
Authority:
-Recommend expenditures as required to meet Big Data support requirements.
-Recommend the initiation of Big Data support activities and projects .
-Recommend Big Data standards/directions/technologies.
Qualifications:
Required:
-4 year degree in Information Systems or an equivalent combination of course work
and job experience
-4-6 years experience with Big Data technologies and analytics