Technology

Data Analytics Engineer IV(Algorithm 15+Years exp)

Beacon Systems, IncIrving, TX🇺🇸United StatesPosted Oct 6, 2026

Quick Overview

Seniority

Mid Senior

Work mode

On Site

Location

Irving, TX, United States

Posted

Yesterday

DjangoDockerFastAPIFiberFlaskMicroservicesOracleSQLAWSETLAirflowApacheBigQueryGoogle CloudPostgreSQLPythonRESTRedshift

Job Description

Job Tittle: Data Analytics Engineer IV (Algorithm- 15+years of Exp)

Location: Hybrid- Irving, TX / Basking Ridge, NJ/ Ashburn, VA/ Temple Terrace, FL (2-3 Daya Onsite)

Duration: 12+Months Contract

Manager Note:

Data Scientist – Geo Spatial Data Sets
AWS and Google Cloud Platform
Special Data Science with Algorithm AND Data Sets
ArcGIS Framework and ESRI
Risk based Applications – Rest API, Django.
Python experience
Cross Functional Partnership
Building Algorithm – This is one of the key skill
large-scale Feeder Distribution Hub (FDH) and Fiber-to-the-Home (FTTH) – Not required but candidate will be working on this as a responsibility.

Description:
We are seeking a highly skilled and results-driven Data Scientist / Analytics Engineer to join our Data Science Development team within Network Planning. In this role, you will be responsible for the core modernization, evolution, and scaling of our geospatial and statistical fiber modeling platforms—specifically our proprietary automated routing, network optimization, and Feeder Distribution Hub (FDH) modeling engines.

Experience:

5+ years of experience in Data Engineering, Geospatial Analytics, Or Data Science roles, with demonstrated leadership in technical delivery.
Core Languages & Web Frameworks: Proficiency in Python (3.x), SQL, and microservices/web execution frameworks (Flask, FastAPI, or Django) a must.
Spatial & GIS Mastery: Deep expertise with spatial analytics tools, spatial SQL, PostGIS, ESRI/ArcGIS frameworks, and open-source mapping platforms (e.g., Overture Maps, QGIS, PG Tile Server).

Key Responsibilities & Essential Functions

Design, build, and optimize spatial routing and network planning models across our core automated planning platforms and fiber mapping engines.
Drive the strategic of software convergence legacy spatial planning scripts into a unified, high-performance network modeling stack.
Execute large-scale Feeder Distribution Hub (FDH) and Fiber-to-the-Home (FTTH) remodeling using Djikstra, Kruskal or other minium tree spanning algorithms utilizing network topology, and spatial datasets.
Transition and standardize spatial graph processing and routing engines
Ability to handle large datasets in spatial data formats (e.g., shapefiles, GeoJSON)
Integrate advanced spatial enterprise address databases, and master location repositories) into automated ETL pipelines for high- accuracy routing and spatial analysis.
Oversee production relational and columnar databases across cloud environments.
Lead continuous database optimization initiatives— automating table maintenance, rebuilding high-traffic spatial reference cross-reference tables, and tuning long-running queries to maintain low latency.
Build and manage automated workflow pipelines (e.g. Airflow/Python) to streamline real-time data sharing across cross-functional engineering, analytics, and AI teams.
Architect secure, scalable, and cost-effective data infrastructure environments across multi-cloud environments (AWS and Google Cloud Platform).

Minimum Qualifications:

Education: Bachelor’s or Master’s degree in Computer Science, Data Science, Geographic Information Systems (GIS), Operations Research, Software Engineering, or a related quantitative field.

Database Systems:

Demonstrated experience with transactional and analytics databases (PostgreSQL, Oracle, Redshift, BigQuery)
Workflow Automation & Cloud: Hands-on experience with Apache Airflow, Docker, AWS (EC2/RDS), and Google Cloud Platform (BigQuery, Cloud Storage).