Bristol, PA

Engineer Jobs in Bristol, PA

6 jobs found

Include remote jobs

30d ago

Senior Data Engineer - Analytics

Everforth Bristol, PA 🇺🇸 Remote

Bristol, PA

30d ago Closed

Full time Senior Analytics Artificial Intelligence

This position is no longer accepting applications (closed Aug 8, 2026).

Job Description

Everforth is seeking an experienced Analytics Engineer to design data models, transformation pipelines, and APIs that power dashboards, machine learning features, and downstream systems. The role collaborates with data scientists, analysts, and engineers to standardize metrics, improve data quality, and enable self-service analytics across the organization. The position is based in Bristol, Pennsylvania with a remote work option.

Responsibilities

Design, develop, and maintain scalable ELT/ETL data transformation pipelines using dbt Core and SQL targeted at 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 adherence to SLAs.
Collaborate with product, analytics, and ML teams to define metric definitions and translate business requirements into performant data models.
Develop 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 Google Cloud Platform, 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 dbt, SQL, and analytics engineering best practices.

Requirements

Minimum three years of experience in analytics engineering, data engineering, or a related role building analytics pipelines and data models.
Experience working with healthcare claims data.
Advanced SQL proficiency with strong Python experience 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.

Technologies

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

Eligibility to work in the United States

You must be currently authorized to work in the United States without the need for sponsorship for a non-immigrant visa.

Posting note: This position was first posted on 07/08/2026 and applications will be accepted on an ongoing basis until the role is filled.

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1mo ago

Senior Data Engineer - Analytics

Everforth Bristol, PA 🇺🇸 Remote

Bristol, PA

1mo ago Closed

Full time Senior Analytics Artificial Intelligence

This position is no longer accepting applications (closed Aug 6, 2026).

Job Description

Everforth offers a 100% remote Senior Data Engineer - Analytics role that centers on turning data into reliable, actionable insights. You will design, build, and maintain analytics infrastructure, data models, ELT/ETL pipelines with dbt Core and SQL, and APIs that power dashboards, ML features, and self-service analytics. This position is remote, with collaboration across teams in Bristol, PA and beyond to translate business needs into scalable data solutions.

Position Overview: Join the data team to develop reliable, scalable analytics infrastructure that turns data into actionable insights. You will design data models, transformation pipelines, and APIs that empower dashboards, ML features, and downstream systems, collaborating with data scientists, analysts, and engineers to standardize metrics and improve data quality across the organization.

Responsibilities

Design, develop, and maintain robust ELT/ETL data transformation pipelines using dbt Core and SQL targeting BigQuery.
Author 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.
Expert proficiency in SQL and strong experience with Python for data transformation, orchestration, or testing.
Experience working with Healthcare Claims Data.
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.
Nice to have: domain knowledge of healthcare claims and related data models.
For this position, you must be currently authorized to work in the United States without the need for sponsorship for a non-immigrant visa.

Technologies

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

Location: 100% Remote

View full job page →

1mo ago

Senior Data Engineer - Analytics

Everforth CyberCoders Bristol, PA 🇺🇸 Remote

Bristol, PA

1mo ago Closed

Full time Backend Developer Senior Analytics

This position is no longer accepting applications (closed Jul 18, 2026).

Job Description

Everforth CyberCoders is seeking a Senior Analytics Engineer to help design and scale analytics infrastructure that fuels dashboards, machine learning features, and downstream systems. This role partners with data scientists, analysts, and engineers to standardize metrics and empower self-service analytics across the organization, blending strong data modeling with reliable data delivery in a cloud-first environment.

Location

Bristol, Pennsylvania with remote work options; 100% remote work is available for this role.

Responsibilities

Design, develop, and maintain robust ELT/ETL data transformation pipelines using dbt Core and SQL targeting BigQuery to ensure reliable data delivery for analytics and reporting.
Author 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 guarantee dependable analytics outputs and meet 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; leverage LLM APIs where applicable.
Deploy and monitor data services and lightweight API endpoints on GCP, using Cloud Run and other serverless options when appropriate.
Optimize BigQuery performance and cost 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 related roles 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.
U.S. work authorization without visa sponsorship is required.

Technologies

dbt Core
SQL
Python
BigQuery
Google Cloud Platform
Cloud Run
Vertex AI
FastAPI
LLM APIs

View full job page →

1mo ago

Senior Data Engineer - Analytics

Everforth CyberCoders Bristol, PA 🇺🇸 Remote

Bristol, PA

1mo ago Closed

Full time Senior Analytics Artificial Intelligence

This position is no longer accepting applications (closed Jul 12, 2026).

Job Description

Senior Data Engineer - Analytics role at Everforth CyberCoders, a fully remote position in the United States.

Responsibilities

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

Requirements

3+ years of experience in analytics engineering, data engineering, or a related role building analytics pipelines and data models.
Expert proficiency in SQL and strong Python experience for data transformation, orchestration, or testing.
Experience working with Healthcare Claims Data.
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.
U.S. work authorization without the need for visa sponsorship.

Technologies

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

Location

100% Remote

View full job page →

2mo ago

Senior Data Engineer - Analytics

CyberCoders Bristol, PA 🇺🇸 Remote

Bristol, PA

2mo ago Closed

$165k - $190k/yr Full time Senior Analytics Bigquery

This position is no longer accepting applications (closed Jun 22, 2026).

Job Description

CyberCoders is seeking a Senior Analytics Engineer to design and deliver scalable analytics infrastructure, data models, ETL/ELT pipelines, and APIs that power dashboards, machine learning features, and self-service analytics. This remote-friendly role is based in Bristol, Pennsylvania, and collaborates with product, analytics, and ML teams to translate business needs into robust data solutions.

Position Overview

We are looking for an experienced Analytics Engineer to join the data team and build reliable, scalable analytics infrastructure that turns data into actionable insights. The role centers on designing and implementing data models, transformation pipelines, and APIs that support dashboards, ML features, and downstream systems. You will work closely with data scientists, analysts, and engineers to standardize metrics, enhance data quality, and enable self-service analytics across the organization.

Responsibilities

Design, develop, and maintain robust ELT/ETL data transformation pipelines using dbt Core and SQL targeting BigQuery.
Author 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.

Technologies

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

View full job page →

2mo ago

Senior Data Engineer - Analytics

CyberCoders Bristol, PA 🇺🇸 Remote

Bristol, PA

2mo ago Closed

$165k - $190k/yr Full time Senior Analytics Artificial Intelligence

This position is no longer accepting applications (closed Jun 20, 2026).

Job Description

Senior Data Engineer, Analytics designs and builds data models, transformation pipelines, and APIs to power dashboards, ML features, and downstream systems in a 100% remote role.

Responsibilities

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

Requirements

3+ years of experience in analytics engineering, data engineering, or related roles building analytics pipelines and data models.
Experience working with Healthcare Claims Data.
Advanced SQL proficiency and strong Python experience for data transformation, orchestration, or testing.
Proven dbt Core experience 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.

Technologies

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

Position Overview

Salary: USD 165,000 - 190,000 per year. The Analytics Engineer role focuses on designing and implementing data models, transformation pipelines, and APIs that power dashboards, ML features, and downstream systems. You will work with data scientists, analysts, and engineers to standardize metrics, improve data quality, and enable self-service analytics across the organization.

Location

Location: Bristol, PA (remote) • 100% Remote

View full job page →

Engineer Jobs in Bristol, PA

Senior Data Engineer - Analytics

Senior Data Engineer - Analytics

Senior Data Engineer - Analytics

Senior Data Engineer - Analytics

Senior Data Engineer - Analytics

Senior Data Engineer - Analytics

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