Backend Developer

Backend Developer Data Jobs

171 jobs found

Today

Software Engineer II - Machine Learning Engineer

Uber Seattle, WA

Seattle, WA

Today

$171k - $190k/yr Full time Backend Developer Ai Ml Artificial Intelligence

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Job Description

Uber’s Consumer Incentives team builds AI/ML-powered intelligence and scalable distributed systems that help shape customer experiences across grocery and food. As a Software Engineer II - Machine Learning Engineer, you’ll work end-to-end, from scoping and offline evaluation through experimentation, production deployment, and post-launch maintenance.

This role is based in Seattle, WA (onsite), with a base salary range of USD 171,000 - 190,000 per year. You’ll collaborate closely with cross-functional stakeholders to deliver product outcomes at scale for hundreds of millions of global users.

What you’ll do

Launch products that support key consumer experience and business outcomes.
Drive projects through the full lifecycle, including scoping, offline evaluation, experimental testing, production deployment, and post-launch maintenance.
Design, tune, and improve systems and algorithms capable of operating at scale.
Partner with teams across product management, operations, and data science to align work with business goals.

What you bring

3+ years of experience in an AI/ML/optimization role, or a PhD in a relevant field (CS, OR, EE, Statistics, etc.).
Proficiency in at least one programming language such as Python, Go, or Java.
Strong communication skills and the ability to work effectively with cross-functional partners.
A strong sense of ownership to carry projects end-to-end.

Technologies

Python
Go
Java

About the team

The Consumer Incentives team supports Uber’s growth and long-term profitability by creating seamless, affordable, and enjoyable customer experiences. This is done by building AI/ML-powered intelligence and sophisticated distributed systems at scale across key business areas such as grocery and food.

Preferred qualifications

Experience designing and delivering large-scale consumer products.
Experience developing, evaluating, and deploying ML models and algorithms in production.
Experience in experimental design and causal inference.

Compensation and benefits

Eligible to participate in Uber’s bonus program.
May be offered an equity award and other types of comp.
Eligible to participate in a 401(k) plan.
Eligible for various benefits.

Office requirements

Unless approved for full remote work, employees must spend at least 50% of their time in-office. Some roles, such as those at greenlight hubs, require full-time in-office presence.

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Today

Principal Machine Learning Engineer

Okta San Francisco, CA

San Francisco, CA

Today

$238k - $326k/yr Full time Backend Developer Agentic Ai Ai Agent

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Job Description

Okta is hiring a Principal Machine Learning Engineer (Okta Secures AI) to evolve authorization for agent access policies using dynamic AI security mechanisms.

Responsibilities

Build intent-based enforcement to confirm agent runtime requests match intended purpose
Apply LLM reasoning and prompt parsing to interpret prompts, tool payloads, and intent in real time
Integrate low-latency inference or semantic evaluation engines into the API gateway request path
Use embeddings, vector search, or zero-shot classification to score alignment between agent intent and executed actions
Design confidence-scored decision engines that feed semantic verification results into policy frameworks such as Cedar
Establish evaluation benchmarks, prompt injection defenses, and guardrails to prevent bypasses or false positives
Architect scalable ML and Generative AI systems with retrieval, inference, and evaluation pipelines
Optimize prompting, context retrieval, and RAG workflows for accuracy, safety, and efficiency in Claude-based systems
Build automated evaluation pipelines to measure model quality, correctness, groundedness, and safety in production
Implement schema validation, structured output enforcement, and guardrails for reliable, compliant AI outputs
Mentor and coach engineers to support team and community growth

Requirements

10+ years of software development experience with strong Python expertise; Go or TypeScript familiarity is a plus
Hands-on experience with applied machine learning, including feature engineering, training, and fine-tuning models
Hands-on experience with modern Generative AI platforms such as AWS Bedrock, OpenAI, Anthropic, etc.
Deep understanding of retrieval-augmented generation (RAG), embeddings, and knowledge-base workflows
Hands-on experience with AI agent frameworks including LiteLLM, LangGraph, LangChain, LlamaIndex, MCP, or similar
Familiarity with ML frameworks such as FastAPI, PyTorch, TensorFlow, and Spark ML, plus orchestration tools like Airflow
Experience defining evaluation metrics, pipelines, and feedback loops for ML/GenAI systems
Proven ability to collaborate with product and engineering teams to drive greenfield initiatives, manage unknowns, and iterate quickly
Experience building tools or infrastructure for AI/ML applications with deep understanding of the developer lifecycle in an AI-native world

Technologies

Python, Go, TypeScript
AWS Bedrock, OpenAI, Anthropic
LiteLLM, LangGraph, LangChain, LlamaIndex, MCP
FastAPI, PyTorch, TensorFlow, Spark ML
Airflow, Cedar
Claude-based systems

Location & Salary

San Francisco, CA (hybrid)
USD 238,000 - 326,000 per yearly

Education

Bachelor’s or Master’s degree in Computer Science or related field

Benefits

Equity (where applicable), bonus, and benefits including health, dental and vision insurance
401(k)
Flexible spending account
Paid leave including PTO and parental leave

Extra Credit

Experience integrating AI-driven systems with identity, authentication, or security products
Exposure to ethical AI, model risk, or compliance frameworks
Familiarity with evaluation datasets, synthetic data generation, or LLM-as-a-judge methods

Okta Experience

Supporting Your Well-Being
Driving Social Impact
Developing Talent and Fostering Connection + Community

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Today

Data Engineer & Automation Developer

Guidehouse Inc. Arlington, VA

Arlington, VA

Today

Full time Backend Developer Python Api Integration

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Job Description

Guidehouse Inc. is seeking a Data Engineer & Automation Developer to help design and maintain automated, data-driven workflows and integrations. This onsite role in Arlington, VA supports client-focused initiatives that combine Python and Databricks data automation with Microsoft Power Platform solutions and API-based data cataloging.

Role Summary

In this position, you will build and maintain workflows that ingest and transform data from multiple sources and file types, support data cataloging through APIs, and create authentication workbooks that enable connections between data sources and cataloging tools. You will also develop Power Apps solutions within the Microsoft Power Platform and communicate technical findings to both technical and non-technical audiences, including leadership.

Responsibilities

Use strong technical skills and a mission-focused mindset to understand client needs, identify opportunities, and design data-driven solutions.
Leverage Python and Databricks to create and maintain automated workflows for data cataloging via APIs, including ingesting and transforming data from various sources and file types.
Create and maintain authentication workbooks that support connections from data sources to cataloging tools.
Use the Microsoft Power Platform to create and maintain Power Apps solutions.
Communicate clearly to translate technical findings for technical and non-technical audiences, including leadership.
Engage directly with clients to gather requirements, adapt solutions to mission needs, and move initiatives forward.

Required Qualifications

ACTIVE and MAINTAINED “SECRET” Federal or DoD security clearance.
Bachelor’s degree.
Two (2) years of relevant professional experience in data analysis, data science, data engineering, or data visualization.
Experience creating and maintaining automated workflows using Python in Databricks to catalog data using APIs for ingesting and transforming data from various sources and file types.
Experience creating and maintaining authentication workbooks for connections from data sources to cataloging tools such as Alation.
Experience using Microsoft Power Platform and creating and maintaining Power Apps.
Ability to support remote, hybrid, or on-site projects in the Washington D.C. metro area.

Technologies

Python
Databricks
Microsoft Power Platform
Power Apps
APIs
Alation

Benefits

Medical, Rx, Dental & Vision Insurance
Personal and Family Sick Time & Company Paid Holidays
Position may be eligible for a discretionary variable incentive bonus
Parental Leave and Adoption Assistance
401(k) Retirement Plan
Basic Life & Supplemental Life
Health Savings Account, Dental/Vision & Dependent Care Flexible Spending Accounts
Short-Term & Long-Term Disability
Student Loan PayDown
Tuition Reimbursement, Personal Development & Learning Opportunities
Skills Development & Certifications
Employee Referral Program
Corporate Sponsored Events & Community Outreach
Emergency Back-Up Childcare Program
Mobility Stipend

Clearance and Travel

Clearance required: Active Secret
Travel required: None

What Would Be Nice to Have

Three (3) or more years of relevant professional experience.
Experience working in Databricks.
Familiarity with Agile team operations, such as sprint planning, standup calls, writing Jira stories, and backlog refinement.
Ability to work independently, proactively identify opportunities to add value to the client, and drive initiatives and innovation.
Ability to clearly communicate and present technical solutions, insights, and results to technical and non-technical audiences, including leadership.
Experience performing data engineering, such as Extract-Transform-Load (ETL) and managing databases.
Experience working in the Microsoft Power Platform and creating and maintaining Power Apps.
Experience working with data cataloging and metadata.
Experience working with APIs.
Familiarity with Alation.
Ability to support business development including RFP, RFQ, and RFI responses and white papers.
Relevant experience supporting Department of State or other Federal Government organizations.

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Today

Azure Data Engineer

NSD International, Inc. Charlotte, NC

Charlotte, NC

Today

$74+/hr Contract Backend Developer Python Analytics

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Job Description

NSD International, Inc. is hiring an Azure Data Engineer for contract work supporting an Azure-based data platform.

Responsibilities

Support the active development of an Azure data platform in close coordination with the team
Begin with establishing a reference data system for securities and pricing data, then expand to additional data domains
Follow internal development standards to contribute to the overall Data Strategy agenda
Implement Azure Cloud Platform solutions and apply relevant know-how across the qualifications listed below

Requirements

10+ years of software development experience using Python and PySpark and associated frameworks
Proven background as a Data Engineer and/or Data Quality Engineer with Azure cloud experience
Experience implementing solutions with Azure cloud services
Hands-on experience implementing Azure Data Factory
Hands-on experience implementing Azure Lake Gen 2
Hands-on experience implementing Azure Databases
Hands-on experience implementing Azure Databricks
Experience implementing a Data Quality Framework/Solution
Experience implementing Collibra Data Quality or other data quality tools including IDQ, IBM, or Ab-Initio
Experience implementing Collibra Data Governance with knowledge of data lineage
Experience implementing Power BI
Well versed with Azure Databricks
Strong SQL skills with RDMs or noSQL databases
Familiarity with the DevOps lifecycle including git and Jenkins
Experience with CI/CD processes
Good understanding of ETL/ELT processes
Financial services industry experience is a plus, including financial instruments, asset classes, and market data

Key Technologies

Python, PySpark
Azure cloud services
Azure Data Factory
Azure Lake Gen 2
Azure Databases
Azure Databricks
Data Quality Framework/Solution
Collibra Data Quality, IDQ, IBM, Ab-Initio
Collibra Data Governance, data lineage
Power BI
SQL, RDMs, noSQL
DevOps lifecycle: git, Jenkins, CI/CD processes
ETL, ELT

Benefits

401(k) matching
Dental insurance
Health insurance
Vision insurance

Contract Details

Job type: contract
Term: 1 year (possibility of extension)
Pay: $74.00 per hour
Expected hours: 35.0 – 45.0 per week
Work location: Hybrid remote in Charlotte, NC 28202

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Today

Staff Data Engineer

Xometry Denver, CO

Denver, CO

Today

$180k - $200k/yr Full time Backend Developer Analytics Big Data

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Job Description

Staff Data Engineer role on Xometry’s Data Platform team, focused on building enterprise data architecture and scalable batch and streaming pipelines with broad technical impact.

Responsibilities

Design and drive enterprise solutions with deep technical ownership across multiple systems and domains
Own the partner integration data plane for embedded DFM AI + IQE integration between Xometry and partner ecosystems
Architect and build bidirectional data pipelines for partner Teamcenter and Designcenter integrations
Define and maintain the joint data model for parts, BOMs, quotes, and manufacturability signals
Deliver a low-latency signal path that sends DFM and pricing feedback back into the designer’s environment
Establish governance, lineage, and audit posture for public-marketplace partner integration
Build for scale by architecting and optimizing reliable batch and streaming pipelines, models, and platforms for high-volume data
Support real-time and event-driven flows that the partner integration depends on
Take end-to-end accountability from acquisition and transformation through delivery, observability, and ongoing performance
Set engineering standards for data modeling, CI/CD, testing, and code quality across the data engineering function
Enforce contract-testing and schema-evolution discipline when data crosses partner boundaries
Handle ambiguous, cross-domain problems by evaluating variable factors and aligning solutions with business and technical objectives
Translate multi-quarter strategic priorities into technical roadmaps while determining methods and timelines independently
Collaborate with engineers, product managers, data scientists, business stakeholders, and external partner engineering teams
Mentor through design reviews, code reviews, and technical mentorship to elevate team capability
Evaluate and adopt tools and architectural patterns by staying current with the data engineering ecosystem

Requirements

Bachelor’s degree in a STEM field (or equivalent experience) plus 5+ years in a data engineering related role with demonstrated ownership of complex, large-scale data systems
Deep expertise with cloud data warehouses, with Snowflake strongly preferred (optimization, best practices, performance tuning)
Expert SQL and strong Python proficiency; ability to add languages as needed
Hands-on experience building and optimizing pipelines, architectures, and datasets using modern tooling such as dbt, Airbyte, Airflow, or similar
Enterprise data architecture experience across multiple systems and domains, including integrations across organizational and partner boundaries
Working knowledge of queueing, batch and stream processing (Kafka, Spark, Kinesis) and scalable data stores (Apache Iceberg)
Experience writing database-heavy services or APIs and designing for testability and maintainability
Strong CI/CD fundamentals with automated testing, contract testing, and schema-evolution discipline
Strong grasp of the AWS data ecosystem and cloud-native infrastructure
Ability to operate independently on new and ambiguous assignments, determine methods and procedures, and communicate effectively across the organization and with external partner engineering teams
Enterprise / partner integration experience integrating with PLM, ERP, or large enterprise SaaS systems; Teamcenter experience (data model, BMIDE, Active Workspace APIs, AWC integrations) is a strong plus
Familiarity with data visualization tools such as Looker and Streamlit
Experience with data governance, data quality frameworks, and observability tooling, especially when data flows across partner or tenant boundaries
Exposure to modern lakehouse or data mesh architectural patterns
Experience with infrastructure as code (Terraform, CloudFormation)
Experience with event-driven architecture, CDC pipelines, and low-latency operational data flows feeding into a customer-facing UI
Manufacturing, supply chain, or marketplace experience is a plus; curiosity and drive matter more

Location and Salary

Location: Denver, CO (hybrid)
Salary: USD 180,000 - 200,000 per year

Technologies

Snowflake
SQL
Python
dbt
Airbyte
Airflow
Kafka
Spark
Kinesis
Apache Iceberg
AWS
Looker
Streamlit
Terraform
CloudFormation
Teamcenter
Designcenter
Solid Edge
NX
BMIDE
Active Workspace APIs
AWS integrations
CDC pipelines
Iceberg

Benefits

401(k) match
Medical, dental and vision insurance
Life and disability insurance
Generous paid time off including vacation, sick leave, floating and fixed holidays
Maternity and bonding leave
EAP and other wellbeing resources

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Today

Principal AI Engineer (SDLC)

AT&T Dallas, TX

Dallas, TX

Today

Full time Backend Developer Agentic Ai Ai Agent

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Job Description

AT&T seeks a Principal AI Engineer to design, build, and deploy production-ready generative AI and enterprise applications across the full SDLC.

Responsibilities

Design, develop, and deploy AI-powered applications and platforms aligned to enterprise business objectives
Build generative AI solutions using Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and agent-based workflows
Develop intelligent assistants including copilots, chatbots, and AI automation solutions to improve employee and customer experiences
Turn AI concepts, proofs of concept, and prototypes into production-ready software products
Design and build scalable APIs, microservices, and backend services powering AI-enabled applications
Integrate AI capabilities into existing enterprise platforms, business systems, and customer-facing applications
Develop secure, reliable, and reusable application components within modern software architectures
Partner with cross-functional teams to translate business requirements into technical solutions
Deploy and manage AI workloads across cloud environments including Azure and AWS
Implement containerized and cloud-native solutions using Kubernetes and modern orchestration technologies
Build and maintain enterprise-grade AI platforms designed for high-volume production workloads
Optimize performance, reliability, security, and scalability of AI services
Establish and maintain CI/CD pipelines for AI-enabled applications and services
Apply MLOps best practices for deployment, monitoring, testing, and lifecycle management of AI solutions
Support model integration, version management, governance, and operational excellence
Monitor production environments and continuously improve platform performance and user experience
Evaluate emerging AI technologies and identify opportunities for enterprise adoption
Collaborate with product managers, software engineers, data scientists, UX teams, and business stakeholders
Contribute to technical architecture decisions and AI engineering best practices
Drive continuous improvement across AI development methodologies and delivery frameworks

Requirements

Bachelor's degree in Computer Science, Software Engineering, Information Systems, or a related technical field
Experience developing enterprise applications using modern software engineering practices
Strong proficiency in Python and modern application development frameworks
Experience building RESTful APIs and microservices
Knowledge of generative AI technologies including LLMs and AI application architectures
Experience with cloud platforms such as Azure and/or AWS
Experience working within Agile and SDLC environments
Knowledge of CI/CD pipelines, DevOps practices, and software release management
Experience with containerization and orchestration technologies such as Kubernetes and Docker
Strong problem-solving, analytical, and collaboration skills

Technologies

Python
RESTful APIs
microservices
Large Language Models (LLMs)
Generative AI
Retrieval-Augmented Generation (RAG)
agent-based workflows
Azure
AWS
Kubernetes
Docker
CI/CD pipelines
DevOps
MLOps
Agile
SDLC
vector databases
prompt engineering
AI evaluation frameworks
MLOps platforms
machine learning deployment practices

Example projects

Enterprise generative AI chatbots and virtual assistants
AI-powered recruiting and talent acquisition solutions
Customer care AI assistants powered by GPT and LLM technologies
Retrieval-Augmented Generation (RAG) platforms
Multi-agent and agentic workflow automation systems
AI APIs and shared enterprise AI services
AI-enabled operational intelligence and analytics platforms

Example at AT&T

Build a Network Operations Copilot that leverages multiple LLMs
Integrate with trouble-ticket and operational systems
Provide intelligent outage recommendations
Surface network analytics and operational insights
Deliver a fully deployed, production-ready software solution

Preferred qualifications

Experience building RAG (Retrieval-Augmented Generation) solutions
Experience developing agentic AI workflows and autonomous AI systems
Knowledge of MLOps platforms and machine learning deployment practices
Experience integrating AI solutions into enterprise business systems
Familiarity with vector databases, prompt engineering, and AI evaluation frameworks
Experience developing scalable cloud-native AI applications
Exposure to enterprise security, governance, and responsible AI practices

Ideal background

Candidates may currently hold titles such as AI Engineer, Generative AI Engineer, Machine Learning Engineer, AI Solutions Engineer, AI Application Engineer, or AI Platform Engineer

Location and schedule

Dallas, TX onsite
Location listing includes: Atlanta, Georgia and Dallas, Texas
Weekly hours: 40
Time type: Regular

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Today

AI Engineer

SOLIDWORKS Waltham, MA

Waltham, MA

Today

Full time Backend Developer Python Agentic Ai

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Job Description

Join SOLIDWORKS in Waltham, MA to build AI agents that connect directly with SolidWorks and help automate complex engineering workflows. This role focuses on turning multi-step reasoning into working CAD operations, from sketch creation to 3D model generation, and integrating those agents into design pipelines.

What you will do

Design and develop AI agents that can interact with SolidWorks through its APIs.
Create multi-step reasoning workflows where agents parse instructions, plan tasks, and execute CAD operations.
Integrate AI agents into client-server architectures using communication protocols such as WebSocket, REST, or similar approaches.
Implement automated generation of sketches and 3D models.
Debug, optimize, and improve agent workflows to ensure robust and accurate outputs.
Evaluate agent performance, tune prompts, and work to reduce hallucinations in structured engineering tasks.
Collaborate with mechanical engineers, UI/UX developers, and product definition to shape AI agentic workflows and implement them.

Requirements

Bachelor’s or Master’s Degree in Computer Science Engineering, IT, or a related engineering stream.
2–5 years of experience using C#, C++, Python, and AI technologies.
A solid understanding of software engineering principles and object-oriented programming.
Familiarity with CAD, visualization, simulation, or content creation applications (beneficial).
Interest or experience in AI/ML technologies for graphics, rendering, image generation, or workflow automation (plus).
Knowledge of other scripting languages is a plus.

Technologies

C#, C/C++, Python
LLMs, Embeddings, vector search, RAG systems
Agent frameworks (multi-step reasoning, tool use)
LangChain or LlamaIndex
OpenAI / Gemini / Claude APIs
Visual Studio, Git, Azure DevOps, Jira
WebSocket, REST
Cursor, VS Code

Benefits

Choice of plans providing comprehensive coverage for medical, dental, and vision for employee and dependents
Employee life
Short- and long-term disability
Tuition reimbursement
Immediate 401K enrollment
401K match: 50 cents on the dollar, up to the first 8% of eligible compensation (based on match eligibility criteria)
Flexible time off policy
10 paid holidays