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Day 145
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Network Data Engineer
15F W City Center
Open 4 months, first seen by us 145 days ago- Pay
- Pay not listed
- Work setting
- Not stated
- Employment
Full-time — employment source
Employment type in the employer’s posting: Full time
From the employer’s posting
What you’ll work on
Full postingDesign and run automated ETL/ELT pipelines that load network telemetry into the NTG Data Mart
Build star or snowflake dimensional data models for analytical queries
Write automated data quality checks and monitor pipeline health
Enforce data security, access controls, and metadata documentation
Maintain the data catalog and meet data freshness SLAs
From the employer’s posting
Design and deploy end-to-end ETL/ELT frameworks that automate the ingestion and transformation of network telemetry into the NTG Data Mart
Translate complex domain requirements into high-performance dimensional models (Star/Snowflake)
Implement "Data Quality as Code" by building automated validation and cleansing scripts, while proactively monitoring pipeline health
Enforced rigorous security protocols and access controls while maintaining comprehensive metadata documentation
Maintain and optimize the data infrastructure to meet Service Level Agreements (SLAs)
Posting record
Report an errorOpen 4 monthsWe first saw this posting 145 days ago and it is still up. Roles open this long are often slow to fill or kept open to collect applications.
- Status in our records
- Live
- First seen by us
- Jun 12, 2026145 days ago
- Recorded sightings
- 168
- Last seen by us
- Nov 4, 2026
- Employer says posted
- Apr 14, 2026
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
How this job compares
Globe International is hiring
17 open jobs
Open jobs by the week we first saw them, last 12 weeks.
- Hiring has slowed
- Takes jobs down at a usual pace
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About the role
We file this job under Data Engineer, by the work the posting describes.
Data engineers build and run the pipelines that copy data out of apps and outside services into a warehouse or lake, and fix them when a source changes or a load fails.
Expect SQL, Python, a cloud platform, a scheduler such as Airflow, and often tools for large data such as Spark or Kafka.
An analytics engineer works one step later, turning the raw data a data engineer lands into clean tables people can query.
US government figures for database architects
- Median yearly pay, May 2025
- $139,500
- Expected change, 2025 to 2035
- 9.4% more jobsagainst 3.5% for all jobs
The government has no code for data engineers, so these figures are for the closest group, database architects, which includes data integration and data warehousing specialists.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1243.
Job description
At Globe, our goal is to create a wonderful world for our people, business, and nation. By uniting people of passion who believe they can make a difference, we are confident that we can achieve this goal.
Job Description
Network Data Engineer are responsible of the following:1.Scalable Pipeline Architecture & Orchestration: Design and deploy end-to-end ETL/ELT frameworks that automate the ingestion and transformation of network telemetry into the NTG Data Mart, ensuring high-availability and low-latency data flow.
2.Strategic Data Modeling & Schema Design: Translate complex domain requirements into high-performance dimensional models (Star/Snowflake) and technical designs, optimizing the repository for both storage efficiency and rapid analytical querying by the Data Analyst.
3.Automated Data Quality & Observability: Implement "Data Quality as Code" by building automated validation and cleansing scripts, while proactively monitoring pipeline health to ensure ingested data is curated, accurate, and anomaly-free.
4.Data Governance, Security, & Lineage Deployment: Enforced rigorous security protocols and access controls while maintaining comprehensive metadata documentation, ensuring the data is not only secure and compliant but also fully transparent and "discoverable" for experts.
5.Operational Excellence & Stakeholder Enablement: Maintain and optimize the data infrastructure to meet Service Level Agreements (SLAs), providing the Data Analyst with reliable, "analysis-ready" datasets that bridge the gap between raw network logs and strategic business insights.
Job Description
Duties and Responsibilities
End-to-End Pipeline Orchestration: Own the full lifecycle of data by architecting and operating automated ELT/ETL pipelines. This includes designing the ingestion logic and managing the daily orchestration to ensure the NTG Data Mart is populated with high-fidelity, low-latency network data.
Collaborative Schema & Dimensional Modeling: Partner with domain experts to translate business intuition into scalable technical data models. You are responsible for both the initial design and the iterative "refactoring" of tables to ensure the data remains optimized for the Data Analyst's evolving analytical needs.
Automated Validation & Observability: Build "Data Quality as Code" by integrating automated testing and monitoring into the pipeline. You are responsible for ensuring the data is accurate and idempotent, proactively identifying and fixing "broken" data before it impacts organizational decision-making.
Secure Governance & Data Transparency: Enforce rigorous security, IAM, and compliance standards while maintaining an up-to-date Data Catalog. You ensure that while the data is "locked down" from a security perspective, it is "wide open" from a documentation perspective so experts can self-serve with confidence.
- Standardization & Data Enablement: Act as the technical bridge for the Data Analyst by peer-reviewing expert-led analyses and converting high-value "one-off" queries into standardized, production-grade features. Your success is measured by the Analyst’s ability to work autonomously on top of your infrastructure.
KPI’s
- Data Freshness SLA (Reliability)
Data Integrity Score (Quality)
Pipeline Success Rate (Stability)
Mean Time to Insight (MTTI) (Velocity)
Catalog Coverage & Discoverability (Enablement
Top 3-5 Deliverables
Automated Data Pipelines: Production-grade ETL/ELT workflows that ensure the continuous, scheduled ingestion of network data into the NTG Data Mart.
Optimized Data Models: High-performance, "analysis-ready" schemas (Star/Snowflake) that simplify complex network telemetry for the Data Analyst.
Data Observability Suite: Integrated monitoring and "Data Quality as Code" frameworks to track pipeline health, freshness, and accuracy in real-time.
Live Data Catalog: A centralized, documented repository of all table definitions and lineage, enabling the Data Analyst to self-serve with confidence.
Standardized Metric Library: A curated set of pre-calculated, production-grade business features ensuring a "Single Source of Truth" across all analytical reports.
Equal Opportunity Employer
Globe’s hiring process promotes equal opportunity to applicants, Any form of discrimination is not tolerated throughout the entire employee lifecycle, including the hiring process such as in posting vacancies, selecting, and interviewing applicants.
Globe’s Diversity, Equity and Inclusion Policy Commitment can be accessed here
Make Your Passion Part of Your Profession. Attracting the best and brightest Talents is pivotal to our success. If you are ready to share our purpose of Creating a Globe of Good, explore opportunities with us.
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15F W City Center
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