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1mo ago

Senior Data Engineer - Analytics

Everforth CyberCoders Philadelphia, PA 🇺🇸 Remote

Philadelphia, PA

1mo ago Closed

Full time Senior Analytics Artificial Intelligence

This position is no longer accepting applications (closed Jul 17, 2026).

Job Description

Senior Data Engineer - Analytics role with Everforth CyberCoders, fully remote from Philadelphia, PA.

Responsibilities

Design, develop, and maintain scalable ELT/ETL data transformation pipelines using dbt Core and SQL targeting BigQuery.
Create modular, tested SQL models and Python-based data transformations to support analytics, reporting, and ML feature generation.
Implement data quality checks, lineage, and observability to ensure reliable analytics outputs and SLAs.
Collaborate with product, analytics, and ML teams to define metric definitions and translate business requirements into performant data models.
Build and maintain RESTful APIs and integrations to surface curated datasets and features for internal and external consumers; implement and consume LLM APIs where applicable.
Deploy and monitor data services and lightweight API endpoints on GCP, leveraging Cloud Run and other serverless infrastructure when appropriate.
Optimize performance and cost for BigQuery workloads through partitioning, clustering, and query tuning.
Document data models, transformation logic, and operational runbooks; mentor teammates on best practices for dbt, SQL, and analytics engineering.

Requirements

3+ years of experience in analytics engineering, data engineering, or a related role building analytics pipelines and data models.
Experience working with Healthcare Claims Data.
Expert proficiency in SQL and strong experience with Python for data transformation, orchestration, or testing.
Proven experience using dbt Core to build modular, tested analytics transformations and manage deployments.
Solid experience with Google Cloud Platform, especially BigQuery, including query optimization and cost management.
Experience building and integrating APIs; familiarity with LLM APIs and integrating large language model outputs into analytics or product workflows.
Strong understanding of data modeling concepts, ETL/ELT patterns, data quality practices, and observability.
Excellent communication skills and ability to collaborate across cross-functional teams to operationalize analytics.
Nice to have: hands-on experience with Cloud Run, Vertex AI, and FastAPI for serving data or ML features; domain knowledge of healthcare claims and related data models.
Authorization to work in the United States without sponsorship for a non-immigrant visa.
First posted by CyberCoders on 06/10/2026; applications will be accepted on an ongoing basis until the position is filled or closed.
Everforth CyberCoders is an Equal Opportunity Employer.

Technologies

dbt Core
SQL
BigQuery
Python
Google Cloud Platform (GCP)
Cloud Run
Vertex AI
FastAPI
LLM APIs
RESTful APIs

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1mo ago

CCAI Voice AI Solutions Developer

Intone Networks Richardson, TX

Richardson, TX

1mo ago Closed

Full time Ai Agents Artificial Intelligence Automation

This position is no longer accepting applications (closed Jul 4, 2026).

Job Description

Intone Networks is seeking a CCAI Voice AI Solutions Developer to drive next generation voice experiences from its Richardson, Texas campus. This role centers on building and refining voice AI solutions with Google CCAI and related cloud technologies to deliver scalable, reliable interactions. You will collaborate across teams to deploy, test, and integrate these capabilities into client workstreams.

Technologies

The role operates at the intersection of conversational AI and cloud infrastructure, leveraging Dialogflow CX and the broader CCAI suite (Agent Assist, Insights, and Platform) to design and implement voice-enabled solutions. Dialogflow CX is used for crafting conversation flows, with playbooks enabling repeatable patterns. The CCAI suite provides Agent Assist and Insights to enhance interactions. You will connect these AI services to managed compute, storage, and messaging layers, using Cloud Run and Cloud Functions for serverless execution and Compute Engine for heavier workloads. Data processing and storage are handled via Cloud Pub/Sub, Firestore, and Memorystore (Redis), with BigQuery enabling analytics. Infrastructure is codified through Terraform, and development is conducted in Python and Java to stitch components together into cohesive applications. Adherence to best practices for data protection is supported by Google Cloud DLP as part of the technology stack. This environment supports on-site collaboration in Richardson, TX and requires hands-on work with Google Cloud tooling to deliver end-to-end voice AI capabilities.

Dialogflow CX (including playbooks)
CCAI Agent Assist
CCAI Insights
CCAI Platform
Cloud Run
Cloud Functions
Compute Engine
Cloud Pub/Sub
Google Cloud DLP
Memorystore (Redis)
Firestore
BigQuery
Terraform
Python
Java

Location

Richardson, TX (onsite)

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Senior Data Engineer - Analytics

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