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Fastapi Data Jobs

3 jobs found

14d ago

Senior Data Engineer (APIs for Data Platform)

DNS Solutions Inc. Remote 🌍 Remote

Remote

14d ago

$35 - $40/hr Full time Backend Developer Senior API

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Job Description

DNS Solutions Inc. is expanding its Enterprise Data and Analytics team with a Senior Data Engineer dedicated to API development for the data platform. This fully remote role designs scalable RESTful and GraphQL APIs that power enterprise applications, with offshore candidates welcome as long as they can align with UK working hours.

Responsibilities

Design, develop, and maintain RESTful and GraphQL APIs to support scalable, high-performance applications.
Collaborate with data engineers and developers to create seamless integrations between APIs, data pipelines, and web applications.
Build and maintain applications using frameworks like Java Spring Boot, Hibernate, Python FastAPI, and ReactJS.
Ensure system scalability, security, and reliability by implementing best practices in multi-threading, concurrency, and microservices architecture.
Drive architectural decisions to optimize performance across application, data, and infrastructure domains.
Develop and deploy solutions on Azure, utilizing tools like SQL Server, Redis, App Services, and API Management.
Create and maintain test automation frameworks to ensure data quality and service reliability.
Mentor junior engineers and foster a collaborative team environment.

Requirements

Bachelor’s degree in computer engineering, Computer Science or related discipline; Master’s Degree preferred
7+ years of software development experience in Big Data
7+ years of experience in modern programming languages - Java, Java-based frameworks (Spring, Maven), Python
3+ Years of web development experience using React JS, TypeScript
3+ Years of experience in application, data, and infrastructure architecture disciplines
3+ years of experience with multi-threading, concurrency, and highly scalable Microservices and REST web Services
Ability to work collaboratively in teams and develop meaningful relationships to achieve common goals
Extensive experience with message driven software patterns such as Service Bus, Kafka, Tibco, EMS, and MQ

Technologies

Java, Spring Boot, Hibernate, Python, FastAPI, ReactJS, TypeScript, REST, GraphQL, Maven, SQL Server, Redis, App Services, API Management, Azure, Kafka, Service Bus, Tibco, EMS, MQ, JavaScript, PowerShell, shell scripting, Regex, AWS, GCP

Preferred Skills

Experience working with other public cloud technologies Azure, AWS, GCP
Strong communication skills to effectively present complex technical solutions to business and technical stakeholders
Experience in scripting languages (e.g., JavaScript, PowerShell, shell scripting, Regex)
Experience building and supporting AL/ML software solutions
Prior experience in the Life Sciences industry or working with data and analytics in a similar domain
Knowledge of test automation tools to validate data accuracy and system reliability

Pay

$35.00 - $40.00 per hour

Work Location

Remote

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1mo ago

Senior Data Engineer - Analytics

CyberCoders Bristol, PA 🇺🇸 Remote

Bristol, PA

1mo ago Closed

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

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

Job Description

CyberCoders is seeking a Senior Data Engineer - Analytics to design robust data models, build scalable ELT/ETL pipelines, and surface data through APIs that power dashboards, ML features, and downstream systems. This is a 100% remote role with a salary range of USD 165,000 - 190,000 per year, located in Bristol, PA (remote).

Position Overview

We are looking for an experienced Analytics Engineer to join our data team and construct reliable, scalable analytics infrastructure that converts data into actionable insights. The role concentrates on designing and implementing data models, transformation pipelines, and APIs that drive dashboards, machine learning features, and downstream systems. You will collaborate with data scientists, analysts, and engineers to standardize metrics, improve data quality, and enable self service analytics across the organization.

Location

100% Remote

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.
Authorized 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

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2mo ago

Sr. Data Engineer, Ground Network Engineering (Business Analytics)

SpaceX Redmond, WA

Redmond, WA

2mo ago Closed

$160k - $225k/yr Full time .NET Analytics Angular

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

Job Description

Sr. Data Engineer for Ground Network Engineering (Business Analytics) based in Redmond, WA (onsite) at SpaceX, defining infrastructure KPIs, analyzing data to extract insights, and forecasting costs to optimize spending for the Starlink Ground Network.

Responsibilities

Define and develop KPIs and metrics that quantify the cost of every asset within the Starlink Ground Network globally, including gateway sites, points of presence, data centers, construction, fiber, power, land, hardware, and more.
Perform deep-dive analyses of ground infrastructure data to identify trends and opportunities for cost improvements.
Regularly prepare reports and presentations that summarize findings, provide actionable insights, and track the effectiveness of implemented strategies.
Build and maintain forecasting engines to predict costs for the Starlink Ground Network.
Support cost analysis for the launch of future markets.
Refactor and scale data ingestion and delivery of cost systems to support geographic expansion.
Maintain and enhance the integrity and reliability of internal and external data sources; collaborate with engineering teams and external processors to capture additional data and ensure data accuracy and consistency.
Collaborate closely with software engineering and other cross functional teams.
Architect backend services, APIs, and workflows to integrate planning, forecasting, deployments, and cost management.

Requirements

Bachelor's degree in engineering, computer science, or a related field
5+ years of professional experience in reporting and analytics in network infrastructure
3+ years of experience with SQL

Technologies

SQL
C#
C++
Angular
Kubernetes
PowerBI
Grafana
Metabase
Celery
FastAPI
Django

Benefits

Health, vision, and dental insurance
401(k) retirement plan
Short and long-term disability insurance
Life insurance
Paid parental leave
Paid vacation and holidays
Employee stock purchase plan and stock options / long-term incentives
Company shuttles for commute
Various other discounts and perks

Compensation and Benefits

Pay range: $160,000.00 - $225,000.00 per year for Network Engineer/Senior level
The final level and base salary are determined on a case-by-case basis based on knowledge, education, and experience
Base salary is one part of a broader total rewards package, which may include long-term incentives such as company stock, stock options, or long-term cash awards, discretionary bonuses, and an Employee Stock Purchase Plan
Comprehensive medical, vision, and dental coverage; 401(k) plan; disability and life insurance; paid parental leave; and additional discounts and perks
Potential for 3 weeks of paid vacation and 10 or more paid holidays per year
Paid sick time in Washington State in compliance with state and federal law
Company shuttles provide roundtrip commute from select Seattle locations to the SpaceX Redmond office, Monday to Friday

ITAR Requirements

To conform to U.S. Government export regulations, the applicant must be a U.S. citizen or national, a lawful permanent resident (green card holder), a refugee under 8 U.S.C. § 1157, or an asylee under 8 U.S.C. § 1158, or be eligible to obtain the required authorizations from the U.S. Department of State. Learn more about the ITAR here.

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Fastapi Data Jobs

Senior Data Engineer (APIs for Data Platform)

Senior Data Engineer - Analytics

Sr. Data Engineer, Ground Network Engineering (Business Analytics)

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