Github Copilot

Github Copilot Data Jobs

5 jobs found

10d ago

Senior Data Engineer

Liberty Mutual Portsmouth, NH

Portsmouth, NH

10d ago

$106k - $197k/yr Full time Senior CI/CD Cloud

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Job Description

Liberty Mutual is seeking a Senior Data Engineer to join the Data and Analytics Engineering team (Frontier and PL Distribution). This hybrid role requires two in office days per week, with options in Boston, Portsmouth (NH), or Indianapolis, and offers a salary range of USD 106,000 to 197,000 per year.

Responsibilities

Design, implement, and maintain scalable data pipelines, data models, and integration workflows using cloud-native technologies such as AWS and Snowflake
Analyze complex data sets and technical challenges to craft robust, flexible solutions aligned with business needs
Partner with Product Owners, stakeholders, and cross-functional teams to translate business requirements into technical data solutions
Build and support ETL and ELT processes for structured and unstructured data from internal and external sources, including APIs, flat files, and enterprise applications
Implement data quality checks, validation rules, reconciliations, exception handling, and monitoring to ensure data integrity
Develop automated tests across unit, system, integration, and regression scopes to ensure reliability and accuracy
Profile data, perform root cause analysis, and troubleshoot data issues in production and non-production environments
Document data flows, data dictionaries, and technical specifications to support data governance and knowledge sharing
Identify opportunities for continuous improvement across data engineering processes and tooling
Collaborate with engineers and architects, contribute to code reviews, and promote engineering best practices
Leverage AI assisted development tools like GitHub Copilot

Requirements

Bachelor’s degree in computer science, engineering, information systems, or a related technical or business discipline (or equivalent experience)
5 to 6 years of experience in data engineering, data analytics, or a related technical role
Strong SQL skills, including writing complex queries, data modeling, and working with relational and analytical databases
Familiarity with cloud based data platforms and tools such as Snowflake and AWS or similar technologies
Strong analytical and problem solving abilities with the capacity to translate data into actionable insights
Proven ability to operate in an agile, squad based environment with cross functional teams
Proactive, self motivated, and detail oriented with solid critical thinking
Excellent written and verbal communication skills, able to convey technical concepts to non technical stakeholders
Experience with data integration and ETL/ELT tools such as IDMC
Familiarity with CI/CD pipelines, version control (Git), and software development best practices

Technologies

AWS
Snowflake
IDMC
Git
GitHub Copilot
CI/CD pipelines

Preferred

Understanding of Cloud and hybrid data architecture concepts
Exposure to data governance, data quality frameworks, or master data management concepts
Experience in the insurance or financial services industry
Guidewire experience a plus

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13d ago

AI Engineer

Spatial Data Logic Remote 🇺🇸 Remote

Remote

13d ago

Full time AI Enablement Artificial Intelligence Automation

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Job Description

Spatial Data Logic is seeking an AI Engineer to guide the delivery of AI powered software across GovPilot, SDL, and Hedgerow. The role focuses on building features driven by autonomous AI workflows while implementing safety guardrails and shaping the development lifecycle for our platforms’ future. This is a remote position that offers substantial independence and close collaboration with engineering leadership to chart long term objectives.

Responsibilities

Develop and ship features across the GovPilot, SDL, and Hedgerow codebases, adapting to new languages and frameworks as needed.
Design and implement systems and workflows that enable AI agents to operate at scale without compromising safety or quality.
Operate with a high degree of autonomy, managing your email, calendar, and tasks without a fixed step-by-step plan.
Propose and pilot innovative working approaches that extend beyond traditional agile or sprint models.
Establish guardrails, evaluations, and review processes so AI generated work can be trusted and deployed rapidly.
Partner with engineering leadership to define the development lifecycle a year from now and begin building toward it today.

Requirements

Hands-on, daily experience with AI coding tools such as Claude Code, Cursor, Copilot, or equivalents, not as occasional assistance.
Comfort moving across programming languages and stacks without needing extended ramp-up time.
A track record of working with minimal oversight, setting priorities and following through.
Strong judgment about what can be trusted to run autonomously and the ability to build effective guardrails around it.
Genuine curiosity about how AI changes software development, embracing it as a new way of working beyond pure productivity gains.
Residence in and authorization to work in the United States.

Technologies

Claude Code
Cursor
Copilot

Benefits

Competitive salary
Unlimited PTO
Flexible hours and remote work
Comprehensive health, dental, and vision insurance
Professional development budget
Home office and IT budget
Real autonomy and high impact work

What makes you stand out

Experience designing or operating agentic workflows in production, not just prototypes
A history of building or proposing new team processes, beyond simply following existing ones
Experience across both legacy and modern systems
A public track record (blog, open source, talks) demonstrating thoughtful consideration of AI engineering

How to apply

If you have been actively exploring agentic AI workflows in your own time and want to help a team implement this approach in practice, please send us your resume.

Equal Opportunity Employer

We are an equal opportunity employer and value diversity. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. We believe our workforce should reflect people of all backgrounds, identities, and experiences.

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1mo ago

Salesforce Technical AI Engineer (Senior Consultant, Technical Transformation)

Deloitte Arlington, VA

Arlington, VA

1mo ago Closed

$118k - $160k/yr Full time Anthropic Claude Code Artificial Intelligence Automation

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

Job Description

Senior Salesforce Technical AI Engineer (Technical Transformation) at Deloitte, based onsite in Arlington, VA. This role leads the design, development, and deployment of Salesforce Public Sector solutions with GenAI integration, CI/CD, and government-client engagement in the Washington, DC region. The position requires a Bachelor’s degree and at least three years of relevant experience.

Responsibilities

Lead the end-to-end design, development, and deployment of advanced solutions using Salesforce Public Sector offerings and emerging capabilities such as Agentforce within mission-critical programs.
Establish and manage robust CI/CD pipelines and DevOps practices to ensure rapid and secure delivery.
Serve as a technical manager and hands-on innovator, embedding GenAI and modern AI practices directly into the development lifecycle to accelerate delivery and enhance system capabilities.
Work across the full technology stack, from backend integrations with large data platforms (Salesforce Data Cloud, Informatica, Databricks, Palantir Foundry) to frontend user experiences.
Collaborate directly with senior government clients, providing technical leadership and translating complex mission requirements into scalable, forward-looking solutions.

Requirements

Bachelor’s degree and a minimum of 3 years of relevant experience.
Ability to work independently as well as within a team environment.
Effective written and verbal communication skills.
Meticulous attention to detail and a commitment to high-quality work products.
Ability to build and sustain professional relationships.
Capability to lead projects or workstreams.
Proficiency in managing and prioritizing multiple tasks in a fast-paced setting.
Strong interpersonal skills and a professional demeanor.
Ability to meet deadlines consistently.
Experience mentoring others and providing clear guidance.

Technologies

Salesforce
Apex
LWC
Salesforce Data Cloud
Informatica
Databricks
Palantir Foundry
Agentforce
Slack
MuleSoft
Azure DevOps
Jenkins
GitLab
Claude Code
GitHub Copilot

Benefits

Compensation range: USD 118,000 - 160,000 per year
Discretionary annual incentive program

The Team

Deloitte's Government & Public Services GPS practice focuses on delivering impact through people, ideas, technology, and outcomes. The team serves federal, state, and local government clients as well as public higher education institutions, bringing a fresh perspective to help clients anticipate disruption, reimagine possibilities, and fulfill their mission promises. The Sales & Service offering designs and implements sales and service experiences, capabilities, and architectures required to translate customer strategies into tangible results.

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1mo ago

Lead Principal Machine Learning Engineer

Oracle San Francisco, CA

San Francisco, CA

1mo ago Closed

Full time Senior Agent Orchestration AI

This position is no longer accepting applications (closed Aug 2, 2026).

Job Description

Lead technical ownership of OCI AI platform capabilities and enterprise, production-grade agentic AI systems on Oracle Cloud Infrastructure (OCI).

Responsibilities

Act as the senior technical owner of OCI AI platform capabilities, covering agent execution, inference systems, model serving, AI workflow orchestration, evaluation, and observability.
Design and deliver scalable agentic AI systems that can reason, plan, use tools, execute workflows, orchestrate multi-step tasks, and support safe human-in-the-loop escalation.
Develop production-grade services for tool calling, agent memory, context management, MCP integration, vector retrieval, multi-agent coordination, policy enforcement, and evaluation.
Steer architecture across distributed services optimized for low latency, high throughput, GPU efficiency, reliability, cost, operability, and secure multi-tenant operation.
Define service boundaries, APIs, data models, state management, consistency tradeoffs, failure modes, SLIs/SLOs, rollout strategies, and readiness criteria for AI platform services.
Guide technical strategy across infrastructure, platform, security, data, and application engineering teams, translating broad goals into multi-quarter plans with measurable milestones.
Integrate AI agents securely and reliably with enterprise APIs, cloud services, databases, identity systems, secrets management, and external systems.
Establish AgentOps and LLMOps practices for tracing, monitoring, evaluation suites, regression testing, experimentation, safety guardrails, prompt and tool versioning, and production reliability.
Assess and operationalize emerging technologies in generative AI, agentic workflows, inference optimization, long-context systems, reasoning models, AI developer tooling, and agentic-first development.
Promote engineering excellence through code and design reviews, test strategy, deployment automation, incident analysis, documentation, and AI-assisted development using tools like Codex, Claude Code, Cursor, Copilot, or equivalents.
Mentor staff and senior engineers, raise architectural standards, and influence OCI engineering practices without requiring direct management authority.
Own critical production outcomes including reliability, performance, security posture, cost efficiency, and supportability for delivered systems.

Requirements

Advanced degree (PhD, MS, or BS with equivalent practical experience) in computer science, AI/ML, engineering, or related field.
12+ years of professional software engineering experience with ownership of production systems, or equivalent impact at senior staff / principal level.
Proven track record as a staff, senior staff, principal, or equivalent technical leader influencing architecture and execution across multiple teams.
Deep experience designing, building, and operating high-scale distributed systems, cloud services, infrastructure platforms, or AI/ML platform services.
Hands-on experience with production AI systems, agentic AI applications, autonomous workflows, tool-using agents, multi-step orchestration, or multi-agent systems.
Practical experience with orchestration frameworks such as LangGraph, LangChain, CrewAI, AutoGen, LlamaIndex, or similar ecosystems.
Strong understanding of LLM application patterns including prompt design, structured outputs, function/tool calling, context management, RAG, memory, tool safety, and evaluation.
Proficiency in Python with ability to contribute production code, reviews, tests, and debugging in complex distributed environments.
Expertise with Kubernetes, Docker, cloud-native infrastructure, service-to-service communication, scalability, fault tolerance, observability, and performance analysis.
Experience defining SLIs/SLOs, production readiness criteria, incident response practices, monitoring, tracing, experiments, and reliability programs for AI or distributed systems.
Strong understanding of AI safety, governance, security, and operational risks for autonomous or semi-autonomous systems, including data handling, access control, auditability, and human accountability.
Excellent written and verbal communication, with proven ability to lead technical direction, resolve ambiguity, and influence senior stakeholders.

Technologies

Python
Kubernetes
Docker
LangGraph
LangChain
CrewAI
AutoGen
LlamaIndex
Model Context Protocol (MCP)
Oracle Cloud Infrastructure (OCI)
Codex
Claude Code
Cursor
Copilot

Preferred qualifications

Experience optimizing large-scale GPU inference or training workloads for latency, throughput, utilization, availability, and cost.
Experience building or operating model serving, inference gateways, agent runtimes, workflow engines, developer platforms, or internal AI productivity platforms.
Experience integrating AI systems with enterprise APIs, databases, cloud services, vector databases, embeddings, retrieval systems, identity systems, and policy enforcement layers.
Experience with LLM fine-tuning, long-context systems, reasoning models, model routing, caching, batching, quantization, or related generative AI research.
Experience building evaluation frameworks for agentic systems, including offline evals, online experiments, golden tasks, adversarial testing, regression gates, and observability dashboards.
Experience using AI-assisted software development tools such as Codex, Claude Code, Cursor, Copilot, or similar in large-scale engineering environments.
Track record of defining architectural standards, platform capabilities, or engineering practices adopted across multiple teams or organizations.
Experience in enterprise, cloud infrastructure, regulated, security-sensitive, or mission-critical environments.

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1mo ago

Senior Data Analytics Engineer - Remote

Optum Eden Prairie, MN 🇺🇸 Remote

Eden Prairie, MN

1mo ago Closed

$92k - $164k/yr Full time Senior Analytics Azure

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

Job Description

This is a remote Senior Data Analytics Engineer role based in Eden Prairie, MN, supporting Optum's Fraud Retrospective Product within the Optum Payment Integrity organization. The position offers an annual salary range of USD 91,700 to 163,700, with a minimum of 1 year of relevant experience.

Responsibilities

Provide realistic effort estimates and project timelines for development and support initiatives.
Translate business requirements and functional specifications into technical designs and documentation.
Build analytics processes aligned with established standard structures and macros.
Develop solutions suitable for production deployment.
Perform data extraction and research studies, including analysis, review, trend assessment, and presentation of findings to support ad hoc data requests per specifications.
Collaborate with business engagement leaders and technical analysts to create new or update existing process documentation and templates.
Analyze data elements within current source data mart schemas.
Examine healthcare claim data from multiple sources to identify data integrity issues.
Conduct unit, system, and regression testing to ensure quality.
Tune performance of existing applications and analytic workflows.
Provide guidance to developers to enhance efficiency and coding practices.
Share knowledge on technologies and serve as a technical expert within the team.
Lead and mentor both new and existing team members.
Continuously identify production process deficiencies, propose improvements, and implement enhancements to boost productivity or reduce manual effort.

Requirements

At least three years of experience with SAS.
Three or more years of relational database experience with Oracle, Teradata, MySQL, or Snowflake.
Three or more years of experience in analysis, process improvement, problem solving, and critical thinking.

Technologies

SAS
SAS Grid
UNIX
Azure
Python
Scala
Spark
Databricks
SQL
VS Code
GitHub Copilot

Benefits

Comprehensive benefits package
Incentive and recognition programs
Equity stock purchase plan
401(k) contribution

Application Deadline

This job posting will remain active for a minimum of two business days or until a sufficient candidate pool has been collected. The posting may be closed earlier if there is a high volume of applicants.

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AI Engineer

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Senior Data Analytics Engineer - Remote

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