Fastapi

Fastapi Data Jobs

5 jobs found

6d ago

Senior AI Engineer

Klaviyo Boston, MA

Boston, MA

6d ago

$148k - $222k/yr Full time Backend Developer Artificial Intelligence Big Data

Apply Now

Job Description

Klaviyo is seeking a Senior AI Engineer to join its Customer Agent team in Boston, MA. This onsite role focuses on designing scalable backend systems and AI agent capabilities, collaborating with product managers, ML engineers, and data scientists to power production AI models at scale. The position offers a salary range of USD 148,000 - 222,000 per year and requires at least five years of professional software engineering experience.

Responsibilities

Shape and implement backend architectures that scale Klaviyo's AI solutions to more than 167,000 customers.
Create resilient data collection and processing pipelines to train and consume machine learning models.
Build reliable services that deploy and serve AI models in production at scale.
Help evolve the agentic architecture to improve autonomy and performance of AI agents.
Foster a culture of ownership, experimentation, and customer-focused product development.

Requirements

5-7 years of professional software engineering experience, with a strong emphasis on backend systems and distributed architectures.
Hands-on experience delivering generative and agentic AI applications in production, including prompt engineering, few-shot learning, fine tuning, and evaluation.
Proven background as a backend engineer building scalable distributed systems that support AI agent capabilities.
Proficiency in Python and modern backend frameworks (FastAPI or Django preferred).
Experience designing and implementing human and automated evaluations to ensure AI model quality.
Experience with big data tools such as Apache Spark and Hadoop.
Extensive experience with asynchronous processing and distributed task queues (Celery, Kafka, SQS, RabbitMQ, Redis).
Strong knowledge of databases and ORMs, including SQLAlchemy and Alembic.
Familiarity with cloud-native architectures (AWS) and Kubernetes; capable of managing infrastructure and CI/CD pipelines.
Adept at designing and building robust APIs.
Ability to operate autonomously, handle ambiguity, and thrive in a fast-moving, startup-like environment.
Curiosity-driven, with a commitment to staying current in this rapidly evolving field.
Comfort working directly with product managers and customers to shape solutions.

Technologies

Python
FastAPI
Django
Apache Spark
Hadoop
Celery
Kafka
SQS
RabbitMQ
Redis
SQLAlchemy
Alembic
AWS
Kubernetes

Nice to have

Experience training and deploying machine learning models in production with tangible business impact.
Knowledge of reinforcement learning.

View full job page →

6d ago

Senior AI Engineer - Customer Agent

Klaviyo Boston, MA

Boston, MA

6d ago

$148k - $222k/yr Full time Backend Developer Agentic Ai Ai Agents

Apply Now

Job Description

Klaviyo is seeking a Senior AI Engineer to join the Customer Agent team in Boston. This onsite role centers on designing and building scalable backend systems and AI agent solutions for an AI-native conversational platform, with the goal of delivering robust experiences for 167K+ customers. The position offers a competitive salary range of USD 148,000 to 222,000 per year.

Responsibilities

Design and build backend systems that support scaling our AI solutions for 167K+ customers.
Develop robust, reliable and scalable data collection and processing pipelines for machine learning models to train and consume.
Develop robust, reliable and scalable services to serve AI models in production environments.
Contribute to evolving our agentic architecture, making our AI agents more self-sufficient and performant.
Contribute to a culture of ownership, experimentation, and customer-centric product thinking.

Requirements

5-7 years of professional experience in software engineering, with a strong focus on backend systems and distributed architectures.
Hands-on experience building and deploying generative AI and agentic AI applications into production, with expertise in prompt engineering, few-shot learning, fine tuning and evaluation.
Experienced backend engineer with a strong track record of building scalable, distributed systems, especially in the service of AI agent capabilities.
Proficient in Python and modern backend frameworks (FastAPI, Django preferred).
Experience creating human and automated evals to ensure high AI model quality.
Proficient in big data tools such as Apache Spark and Hadoop.
Deep experience with asynchronous processing and distributed task queues (Celery, Kafka, SQS, RabbitMQ, Redis).
Strong understanding of database technologies and ORMs (SQLAlchemy, Alembic).
Comfortable with cloud-native architectures (AWS) and container orchestration (Kubernetes); can manage infrastructure and CI/CD pipelines.
Skilled at designing and building robust APIs.
Able to operate with a high degree of autonomy, handle ambiguity, and thrive in a fast-moving, startup-like environment.
Driven by curiosity and committed to staying up to date with a rapidly evolving field.
Comfortable collaborating directly with product managers and customers to shape solutions.

Technologies

Python
FastAPI
Django
Apache Spark
Hadoop
Celery
Kafka
SQS
RabbitMQ
Redis
SQLAlchemy
Alembic
AWS
Kubernetes

Benefits

annual cash bonus plan
variable compensation (OTE) for sales and customer success roles
equity
sign-on payments
health, welfare, and wellbeing benefits

Nice to Have

Trained ML models in the past and deployed them in production systems to generate impact to businesses.
Experience in reinforcement learning.

View full job page →

23d ago

Senior Data Engineer (APIs for Data Platform)

DNS Solutions Inc. Remote 🌍 Remote

Remote

23d ago

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

Apply Now

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

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

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

View full job page →

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.

View full job page →

Fastapi Data Jobs

Senior AI Engineer

Senior AI Engineer - Customer Agent

Senior Data Engineer (APIs for Data Platform)

Senior Data Engineer - Analytics

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

Get Fastapi Data Jobs alerts