1

On Call Data Analytics Extern Jobs Near Me

Software Engineer - Data

Columbus, OH · On-site

$107K - $128K/yr

Enable advanced analytics and AI/ML workloads through efficient, scalable data pipelines ... Participate in on-call support rotation for complex tier-2/3 incidents. * Stay ahead of industry ...

Software Engineer - Data

Columbus, OH · On-site

$110K - $132K/yr

Enable advanced analytics and AI/ML workloads through efficient, scalable data pipelines ... Participate in on-call support rotation for complex tier-2/3 incidents. * Stay ahead of industry ...

... analysis, and repair procedures. • Manage ticket queues and ensure SLA adherence through ... 24/7 operational environment with on-call responsibilities. Company : Eos invests in ...

... 24x7 on-call rotation. • Diagnoses availability, latency and performance issues; making ... analyzing and troubleshooting systems • CI/CD (Azure DevOps, GitLab, Jenkins, etc ...

... analysis, and repair procedures. • Manage ticket queues and ensure SLA adherence through ... 24/7 operational environment with on-call responsibilities. Company : Eos invests in ...

next page

Showing results 1-20

On Call Data Analytics Extern information

See salary details

$24

$54

$94

How much do on call data analytics extern jobs pay per hour?

As of Aug 15, 2026, the average hourly pay for on call data analytics extern in the United States is $54.75, according to ZipRecruiter salary data. Most workers in this role earn between $43.99 and $62.02 per hour, depending on experience, location, and employer.

What are the most commonly searched types of Data Analytics Extern jobs?

The most popular types of Data Analytics Extern jobs are:

A map of the United States highlighting the number of On Call Data Analytics Extern job openings by state according to ZipRecruiter. The image is accompanied by a detailed chart listing the number of On Call Data Analytics Extern job openings in each state, with California having the most at 2 and Alaska the least at 0.

$54 - $71.25/hr

Full-time

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


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