Crm Integration

Crm Integration Data Jobs

6 jobs found

Today

Backend/AI Engineer

Left Main REI Charlotte, NC 🇺🇸 Remote

Charlotte, NC

Today

$100k - $140k/yr Full time Backend Developer Ai Workflows Amazon Web Services

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Job Description

Left Main REI is seeking a Backend/AI Engineer to design, build, and evolve backend services, data infrastructure, and GenAI-enabled features across Left Main products, with integrations to AWS, Snowflake, and Salesforce.

Responsibilities

Design, build, maintain, and optimize backend services and RESTful APIs that connect Left Main products with Salesforce, Snowflake, AWS, and external data providers.
Develop and operate serverless and cloud-native architectures using AWS services such as Lambda, API Gateway, S3, IAM, CloudWatch, EventBridge, and Kinesis.
Create robust data-processing pipelines for real estate data ingestion, enrichment, scoring, subscriptions, matching, deduplication, and delivery into customer-facing applications.
Design Snowflake-backed workflows with SQL transformations, stored procedures, Snowpark or Python processing, and performance tuning.
Architect and implement GenAI driven capabilities, including role-based agents, retrieval-augmented generation, prompt workflows, AI-assisted analysis, customer-facing copilots, and internal productivity tools.
Prototype new AI use cases, assess feasibility, and transition promising experiments into secure, reliable production services.
Collaborate with Salesforce engineers to define integration patterns using Platform Events, APIs, asynchronous processing, and precise data contracts across Salesforce, AWS, and Snowflake.
Support predictive and ML-enabled use cases such as lead scoring, buyer scoring, property intelligence, recommendation workflows, anomaly detection, and customer insights.
Enhance reliability, observability, and operational maturity across backend systems through structured logging, monitoring, alerting, automated tests, and clear incident response practices.
Contribute to CI/CD, infrastructure automation, environment management, and deployment practices for backend and data services.
Bring ideas, technical curiosity, and product-minded thinking to roadmap discussions, architecture reviews, and innovation planning.

Requirements

2+ years of professional backend engineering experience building production-grade APIs, services, data workflows, or cloud-native systems.
Strong hands-on experience with Python for backend development, scripting, automation, data processing, or AI/ML workflows.
Experience building RESTful APIs and integrating systems through APIs, webhooks, event-driven patterns, or message-based architectures.
Solid working knowledge of AWS, particularly serverless or cloud-native services such as Lambda, API Gateway, S3, IAM, CloudWatch, EventBridge, SQS, SNS, Kinesis, or similar.
Strong SQL skills and experience with modern data warehouses, preferably Snowflake.
Proven ability to design reliable, secure, observable, cost-conscious, and maintainable systems.
Familiarity with modern AI and GenAI development patterns, including LLM APIs, prompt engineering, RAG, embeddings, vector databases, model evaluation, agent workflows, or AI-assisted automation.
Ability to use contemporary AI development tools such as ChatGPT, Claude, Cursor, or GitHub Copilot to improve development speed, code quality, and documentation.
Experience with CI/CD pipelines, GitHub Actions, automated testing, infrastructure as code, or deployment automation.
Comfort working in a fast-moving startup environment where priorities evolve and engineers are expected to own outcomes beyond individual tickets.
Strong communication and collaboration skills to partner across product, engineering, data, Salesforce, and leadership teams.

Technologies

Python
AWS
Lambda
API Gateway
S3
IAM
CloudWatch
EventBridge
Kinesis
SQS
SNS
Snowflake
Snowpark
SQL
Salesforce
Salesforce Platform Events
GitHub Actions
GitHub Copilot
Cursor
ChatGPT
Claude
LLM APIs
prompt engineering
RAG
embeddings
vector databases

Benefits

401(k)
401(k) matching
Dental insurance
Flexible remote work arrangements
Life insurance
Paid time off
Vision insurance
Health insurance
Opportunities for professional growth and development
Collaborative and inclusive work culture
Salesforce certification incentives
Flexible schedule
Professional development assistance

Compensation

Salary range: USD 100,000 to 140,000 per year
Pay range: $100,000 - $140,000 per year
Generous benefits package
Paid holidays

Location and Work Arrangement

Location: Charlotte, NC, with remote work options

Work arrangement: Remote

Job type: Full-time

Licenses and Certifications

Salesforce Certification (Required)

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4d ago

Sr Salesforce Health Cloud Data Engineer

Cook Systems Phoenix, AZ

Phoenix, AZ

4d ago

Full time Senior Azure Data Factory Crm Integration

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Job Description

Cook Systems offers a hybrid work arrangement in Phoenix, AZ and a collaborative, data-driven environment focused on healthcare. You will design and develop ETL jobs and data integrations across the full SDLC, partnering with Salesforce Architects and application teams to enable bidirectional data movement using Salesforce Data Loader and Azure tools, all while upholding HIPAA privacy and federal security policies.

Benefits

Medical plans (Blue Cross Blue Shield) with dental and vision coverage
Life, critical illness, and accident insurance through Unum
Flexible Spending Accounts (FSA) for healthcare and dependent care
Health Gap Insurance through Sun Life
401(k) plan through The Standard

Why Work With Us

Your Health, Your Way: Access two comprehensive medical plans through Blue Cross Blue Shield with dental and vision, backed by one of the nation’s largest provider networks for quality care wherever you are.
Peace of Mind: Protect your family with life, critical illness, and accident insurance through Unum.
Flexibility for Life: Plan ahead with a Flexible Spending Account and Daycare FSA through Navia to manage healthcare and dependent-care expenses.
Extra Protection When You Need It: Health Gap Insurance through Sun Life helps cover unexpected costs.
Your Future Starts Now: Build retirement savings with a 401(k) plan through The Standard, with eligibility after six months.

Responsibilities

Collaborate with Salesforce Architects to design data models for Salesforce repositories aligned with the solution architecture
Maintain data integrity and accuracy within the Salesforce HealthCloud environment
Ingest, validate, and process incoming data, applying business rules and integrating within Salesforce
Develop and coordinate unit and integration test plans; execute testing and evaluate results
Analyze, design, and build code for Salesforce data integration activities with third party applications
Implement changes and provide post implementation user and system support
Identify opportunities for improvement using data driven insights and advocate for beneficial changes
Evaluate and resolve critical data issues while ensuring compliance with security policies

Requirements

Bachelor's degree in Business Administration, Computer Science, Mathematics, Engineering, or related field, or equivalent database development experience
U.S. Citizenship with ability to receive a favorable DoD background investigation
5+ years of experience in a Data Engineering role
2+ years of experience with Azure
3+ years of experience developing data integration source code in SQL or equivalent
Experience in ETL with structured and semi-structured data
Experience gathering business requirements from cross-functional teams
Familiarity with SDLC processes and DevOps

Technologies

Salesforce Health Cloud
Salesforce Data Loader
Azure
Databricks
Python
Data Governance
Azure Data Factory
Microsoft SSIS
SQL Server
SQL
Snowflake in Azure Cloud

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8d ago

Lead Analytics Engineer – Enterprise, Data & AI

Zoox Foster City, CA

Foster City, CA

8d ago

$236k - $284k/yr Full time Analytics Anaplan Apache Airflow

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Job Description

Zoox invites you to join as a Lead Analytics Engineer focused on Enterprise, Data & AI in Foster City, CA. This onsite role centers on designing and implementing a unified semantic layer and data modeling strategy to transform SAP, Workday, Salesforce, and Anaplan data into AI ready datasets. You will empower intelligent agents and enterprise analytics across the organization. The base salary ranges USD 236,000 to 284,000 per year, with equity components and a comprehensive benefits program.

Benefits

Paid time off including sick leave, vacation, and bereavement
Unpaid time off
Zoox Stock Appreciation Rights
Amazon RSUs
Health insurance
Long-term care insurance
Long-term and short-term disability insurance
Life insurance

Responsibilities

Design and sustain a unified semantic model that serves as the single source of truth for cross-functional stakeholders, AI agents, self serve analytics, and executive dashboards.
Collaborate with Data and AI Engineers to structure and optimize data for precise, low latency enterprise knowledge queries.
Establish standards for data modeling, version control, testing, and documentation to ensure high data quality and maintainable systems.
Develop automated testing and observability frameworks that detect data anomalies and enable self-healing pipelines, keeping data reliable for downstream consumption.
Partner with cross-functional business leaders to translate operational requirements into scalable, high-impact data solutions.

Requirements

10+ years in Data Engineering and Analytics, with hands-on experience building a semantic framework using Python, SQL and modern orchestration frameworks (Airflow, Lakeflow, Argo); at least 2+ years deploying AI generated code.
Extensive experience with modern data stacks (Snowflake, Databricks, BigQuery) to build complex, enterprise-grade data models.
Deep understanding of data structures within large-scale enterprise platforms (SAP S/4HANA, Salesforce, Workday, etc.) and the ability to reconcile disparate schemas into clean models.
Proven ability to design modular, scalable, and performant data architectures that are easy to use for downstream AI agents and analytics tools.
A track record of delivering technical projects from design to completion, mentoring junior engineers, and fostering a culture of collaboration and data excellence.

Technologies

Python
SQL
Airflow
Lakeflow
Argo
Snowflake
Databricks
BigQuery
SAP S/4HANA
Ariba
BRIM
ME
Workday
Salesforce
Anaplan
Tableau
Streamlit

Compensation overview

Base salary: USD 236,000 to 284,000 per year
Equity: Amazon RSUs and Zoox Stock Appreciation Rights
Sign-on bonus may be offered
Compensation varies by geographic location and level, with leveling influenced by years of experience, domain knowledge, and interview performance

Location detail: Foster City, CA, onsite.

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9d ago

AI Engineer

Bruno Independent Living Aids, Inc. Oconomowoc, WI

Oconomowoc, WI

9d ago

Full time Agentic Ai Ai Workflows Artificial Intelligence

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Job Description

Bruno Independent Living Aids, Inc. is seeking an AI Engineer to architect and deploy AI-first software solutions that drive ERP integrations, business intelligence, and IT operations within its manufacturing environment. This on-site role in Oconomowoc, Wisconsin, centers on building agentic LLM workflows to automate and orchestrate complex tasks across systems, backed by a bachelor’s degree in computer science or a related field and a minimum of six years of experience.

Responsibilities

Lead the end-to-end design, development, and deployment of software applications, integrations, APIs, and database services using agentic LLM coding workflows as the primary development approach.
Maintain and extend ERP customizations and deliver new solutions across multiple languages and platforms, selecting the most effective tool for each task.
Oversee integration platform operations and CRM customizations, leveraging AI-assisted coding for rapid iteration (examples include Jitterbit and Salesforce APEX).
Assess externally purchased IT solutions and services, providing review and recommendations.
Manage relations with hardware and software vendors.
Advocate AI-first development practices within the IT team and mentor peers on agentic coding workflows, prompt engineering, and LLM-augmented development to accelerate adoption and results.
Design and build custom LLM agent harnesses and multi-agent architectures, including manager/supervisor patterns that coordinate specialized sub-agents to tackle complex development and automation tasks.
Create and maintain documentation, training materials, and AI workflow playbooks for IT systems, software, integrations, APIs, and development procedures.
Collaborate with managers to identify information needs and develop solutions that improve information processing and business analysis.
Provide lifecycle support for applications and contribute to the development of new concepts, techniques, and standards.
Lead long-term IT initiatives aligned with the company’s business strategy and objectives.
Recommend and participate in the deployment, monitoring, maintenance, development, upgrade, and support of IT hardware and software, including on-premise and cloud PaaS/IaaS environments.
Benchmark and report on IT infrastructure, proposing improvements and growth opportunities.
Identify costly or inefficient technologies and implement strategic, timely solutions.
Maintain confidentiality of proprietary information.
Stay current with evolving AI/LLM tooling and agentic frameworks, continually evaluating and adopting new AI-powered development tools.

Requirements

Bachelor’s degree in computer science or a related field.
Minimum of 6 years of progressive experience, with at least 3 years in a mid-sized manufacturing environment (preferred).
Demonstrated AI-first development workflow using agentic LLM coding tools as the primary development method.
Language polyglot capable of delivering solutions across multiple technology stacks.
Experience with SQL, RESTful APIs, system integrations, Git, BI reports/dashboards, databases, and vendor management.
Proficiency in prompt engineering for code generation, agentic task orchestration, and AI-assisted debugging.
Experience with .NET/C#, JavaScript/TypeScript, Python, or other modern languages; familiarity with Epicor, Jitterbit, and Salesforce is preferred.
Strong preference for building custom LLM agent harnesses and coordinating multi-agent swarms under a manager/supervisor pattern.

Technologies

Claude Code
GitHub Copilot Workspace
Cursor
Windsurf
Jitterbit
Salesforce APEX
Epicor
Salesforce
.NET/C#
JavaScript
TypeScript
Python
SQL
RESTful APIs
Git

Benefits

401(k)
401(k) matching
Dental insurance
Employee assistance program
Flexible spending account
Health insurance
Health savings account
Life insurance
Paid time off
Retirement plan
Tution reimbursement
Vision insurance

Education and Experience

Position requires a Bachelor’s degree in computer science or related field and a minimum of 6 years of progressive experience, with 3 years preferably in a mid-sized manufacturing environment.
Candidate must demonstrate a proven AI-first development workflow using agentic LLM coding tools (e.g., Claude Code, GitHub Copilot Workspace, Cursor, Windsurf, or similar) as the primary development method.
Must be a language polyglot, comfortable delivering solutions across multiple technology stacks rather than being tied to a single language or framework.
Experience includes SQL, RESTful APIs, system integrations, Git, BI reports/dashboards, databases, and vendor management.
Proficiency in prompt engineering for code generation, agentic task orchestration, and AI-assisted debugging is essential.
Experience with .NET/C#, JavaScript/TypeScript, Python, or other modern languages; experience with Epicor, Jitterbit, and Salesforce is preferred.
Strong preference for candidates who have built custom LLM agent harnesses, coordinated multi-agent swarms under a manager/supervisor pattern, or developed agentic pipelines that coordinate specialized sub-agents for complex, multi-step workflows.

Knowledge, Skills and Abilities

Proven expertise with agentic LLM coding tools and AI-assisted development workflows.
Ability to work fluently across multiple programming languages and technology stacks.
Strong prompt engineering skills for code generation, debugging, and architectural planning.
Familiarity with multi-agent system design, including manager-agent orchestration layers and agent swarm coordination.
Ability to read, analyze, and interpret technical procedures, business correspondence, and other material.
Effective written and verbal communication for internal teams and external stakeholders.
Proficiency with Microsoft Office and standard office equipment.

Working Conditions / Physical Demands

Office environment with occasional lifting and bending.

Experience (Preferred)

Agentic LLM Coding: 3 years (Preferred).

Ability to Commute

Oconomowoc, WI 53066 (Required).

Application Questions

Will you now, or in the future, require sponsorship for employment visa status (for example, H-1B)?
What type of agentic LLM coding tools have you used?

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11d ago

Salesforce Technical AI Engineer (Senior Consultant, Technical Transformation)

Deloitte Arlington, VA

Arlington, VA

11d ago

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

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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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11d ago

Tableau Data Analyst - Salesforce Trailhead Exp.

Debt Consultants Group Miami, FL

Miami, FL

11d ago

$60k - $120k/yr Full time Analytical Skills Analytics Business Analytics

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Job Description

Debt Consultants Group is seeking a meticulous Tableau Data Analyst to transform raw data into clear, actionable dashboards. This on-site role in Miami supports data-driven decision making across the organization by building visuals in Tableau, integrating Salesforce data, and collaborating with cross-functional teams to turn complex business information into insight.

Location

Miami, FL (onsite)

Compensation

USD 60,000 - 120,000 per year

Responsibilities

Design, update, and optimize interactive dashboards and reports in Tableau to monitor key business metrics, trends, and operational results.
Leverage Salesforce data to produce reports, dashboards, and analytics that illuminate sales activity, customer behavior, pipeline performance, and business outcomes for leadership and teams.
Apply Salesforce Trailhead knowledge or certifications to support reporting, CRM data structures, user adoption, and best practices within the Salesforce platform.
Partner with cross-functional teams to capture reporting needs and translate them into accurate dashboards, reports, and technical solutions.
Analyze data from multiple sources, including Salesforce, Microsoft SQL Server, Oracle, Looker, Power BI, and other business systems.
Perform data analysis using SQL, Python, R, Excel, and related tools to identify trends, patterns, gaps, and opportunities for improvement.
Design and support ETL processes to ensure correct data extraction, transformation, and integration from diverse platforms.
Maintain data accuracy, quality, and consistency across Tableau, Salesforce, and connected reporting systems.
Assist with database design, linked data connections, and data workflows to enhance reporting efficiency and data accessibility.
Apply Agile and SDLC principles to manage analytics projects, reporting updates, and dashboard development timelines.
Utilize tools such as Power BI, VBA, Bash, Visio, and business analysis methods to improve reporting, documentation, and workflows.
Present findings clearly to managers, executives, and stakeholders, tying insights to business goals.

Requirements

Proven experience using Tableau to create dashboards, reports, and data visualizations.
Experience working with Salesforce reports, dashboards, CRM data, objects, fields, leads, opportunities, accounts, or similar Salesforce functions.
Salesforce Trailhead experience is strongly preferred; Salesforce certifications or completed Trailhead modules are a plus.
Strong SQL skills with experience querying Microsoft SQL Server, Oracle, or similar platforms.
Familiarity with ETL tools such as Talend or other data integration platforms.
Experience using Python or R for data analysis, reporting automation, or advanced analytics is preferred.
Understanding of CRM analytics, sales reporting, pipeline tracking, and business performance metrics.
Experience with Power BI, Looker, Excel, VBA, Visio, Bash, or Oracle database management is a plus.
Knowledge of Agile project management, SDLC processes, and business analysis techniques.
Strong attention to detail, problem-solving ability, and analytical thinking.
Excellent communication skills with the ability to explain data insights clearly to both technical and non-technical stakeholders.
Highly organized, dependable, and able to manage multiple reporting projects simultaneously.

Technologies

Tableau
Salesforce
Microsoft SQL Server
Oracle
Looker
Power BI
Excel
Python
R
VBA
Bash
Visio
Talend
Salesforce Trailhead

Preferred Skills

Salesforce Trailhead badges, Salesforce Administrator knowledge, or Salesforce reporting experience.
Experience building dashboards for sales, recruiting, operations, marketing, or executive leadership teams.
Ability to clean, validate, and structure CRM data for reporting accuracy.
Comfort with large datasets and turning raw data into meaningful business stories.

Application Questions

Must be local and have Salesforce Trailhead experience (required)

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Crm Integration Data Jobs

Backend/AI Engineer

Sr Salesforce Health Cloud Data Engineer

Lead Analytics Engineer – Enterprise, Data & AI

AI Engineer

Salesforce Technical AI Engineer (Senior Consultant, Technical Transformation)

Tableau Data Analyst - Salesforce Trailhead Exp.

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