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4 jobs found

1d ago

Backend/AI Engineer

Left Main REI Charlotte, NC 🇺🇸 Remote

Charlotte, NC

1d ago

$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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29d ago

Data Engineer, Decision Intelligence Technology

Amazon Web Services, Inc. Bellevue, WA

Bellevue, WA

29d ago

$132k - $179k/yr Full time Amazon Emr Amazon Web Services AWS

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Job Description

Amazon Web Services, Inc. is seeking a Data Engineer to join the AWS Kumo team, where the focus is on designing and refining data architecture, ensuring data quality, and maintaining data availability to enable advanced analytics and better AWS Support outcomes. This onsite role is based in Bellevue, WA and involves close collaboration with data scientists, BI engineers, and business partners to translate data into actionable insights. The position offers a salary range of USD 132,100 to 178,800 per year.

Responsibilities

Design and enhance the existing data architecture, elevate data quality, establish monitoring, and ensure data availability across systems.
Work with data scientists to deploy advanced analytics methods that leverage our data assets for statistical analysis, forecasting, clustering, and machine learning.
Collaborate with business analysts across teams to formulate and test hypotheses aimed at improving the AWS Support business outcomes.
Streamline reporting and analysis workflows and promote self-service analytics to empower customers.
Stay current with advances in big data technologies and lead pilot initiatives to architect data solutions capable of scaling with growing AWS customer experience data.

Requirements

At least three years of hands-on data engineering experience.
Proficiency in data modeling, data warehousing, and constructing ETL pipelines.

Technologies

Redshift
S3
AWS Glue
EMR
Kinesis
FireHose
Lambda
IAM

Benefits

Sign-on payments
Restricted Stock Units (RSUs)
Health insurance (medical, dental, vision, prescription)
Basic Life & AD&D insurance and option for Supplemental life plans
Employee Assistance Program (EAP)
Mental Health Support
Flexible Spending Accounts
401(k) matching
Paid time off
Parental leave
Adoption and Surrogacy Reimbursement coverage

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1mo ago

Data Engineer, OIS/CXI Analytics

Amazon.com Services LLC Nashville, TN

Nashville, TN

1mo ago Closed

$126k - $170k/yr Full time Analytics Artificial Intelligence AWS

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

Job Description

Data Engineer on the OIS/CXI Analytics team, onsite in Nashville, TN, will build scalable data pipelines and ML-ready data infrastructure to power AI-driven operational insights across Amazon's fulfillment and operations networks; salary range USD 125,500 - 169,800 per year.

Responsibilities

Design, build, and maintain production-grade ETL/ELT pipelines and scalable big data infrastructure that support OTS operational intelligence.
Create feature engineering workflows and ML-ready data pipelines enabling Data Science experimentation and production model serving.
Contribute to data governance and quality standards across analytics and ML data products.
Assist in deploying GenAI solutions for automated reporting, diagnostics, and predictive and prescriptive analytics.
Develop and sustain semantic layers and dashboard data models to drive global operations decisions.
Collaborate with Program Managers, BI teams, ML Engineers, Data Scientists, and operational stakeholders to prioritize work aligned with OTS business goals.
Adhere to and contribute to data engineering best practices, including code reviews, testing, monitoring, and documentation.

Requirements

At least three years of data engineering experience.
A minimum of three years designing and managing large-scale data architectures for BI analytics, supported by data modeling experience.
Proficiency in data modeling, data warehousing, and constructing ETL pipelines.
Experience with AWS services including Redshift, S3, AWS Glue, EMR, Kinesis, Firehose, Lambda, and IAM roles and permissions.
Experience in data warehouse architectures, data modeling, infrastructure components, ETL/ELT processes, reporting/analytics tools and environments, data structures, and hands-on SQL coding.
Bachelor's degree or higher in computer science, engineering, machine learning, or related fields, or equivalent experience building and maintaining data flows and pipelines.
Proficiency in Python and SQL; experience with PySpark or Apache Spark.
Experience with infrastructure-as-code tools such as CDK or CloudFormation, and CI/CD pipelines for data and ML systems.
Experience in data modeling and relational as well as non-relational database design.

Technologies

Python
SQL
PySpark
Apache Spark
Redshift
S3
AWS Glue
EMR
Kinesis
Firehose
Lambda
IAM
CDK
CloudFormation

Benefits

Medical, Dental, and Vision Coverage
Maternity and Parental Leave Options
Paid Time Off (PTO)
401(k) Plan

Preferred Qualifications

Experience with non-relational databases / data stores (object storage, document or key-value stores, graph databases, column-family databases)
Master's degree or above in computer science, engineering, analytics, mathematics, statistics, IT or equivalent

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2mo ago

Data Engineer II

Zappos.com LLC New York, NY

New York, NY

2mo ago Closed

$145k - $197k/yr Full time AWS Cloud Data Engineer

This position is no longer accepting applications (closed Jun 7, 2026).

Job Description

This onsite Data Engineer II role in New York, NY focuses on designing, building, and maintaining data pipelines, ETL processes, and data warehousing to support analytics, reporting, and machine learning, with an opportunity to redesign the organization’s data architecture. The position offers a salary range of USD 145,300 to 196,600 per year.

Role overview

The role centers on delivering scalable data infrastructure that enables data-driven decision making across analytics and data science teams. Collaboration with cross functional partners is a key component, as is maintaining robust data governance and security practices to protect sensitive information.

Responsibilities

Create, operate, and optimize robust data pipelines to ingest, process, and store data from databases, APIs, and external data providers.
Design and refine ETL processes to cleanse, enrich, and structure raw data for analysis and reporting.
Implement and manage data warehousing solutions to ensure efficient storage, fast retrieval, and reliable query performance.
Set data quality standards, perform validations, and proactively identify and address data quality issues.
Optimize pipelines and storage to handle large data volumes while maintaining performance and reliability.
Enforce data privacy and security through access controls, encryption, and compliance with data protection regulations.
Collaborate with data scientists, analysts, and other stakeholders to translate data needs into practical infrastructure.
Maintain comprehensive documentation for pipelines, data models, and processes to support knowledge sharing and troubleshooting.
Implement monitoring to detect and address pipeline failures or performance bottlenecks.
Stay current with industry trends and emerging technologies to recommend improvements to the data landscape.

Requirements

3+ years of data engineering experience.
Experience with data modeling, data warehousing, and building ETL pipelines.
Knowledge of distributed systems as they pertain to data storage and computing.
Bachelor's degree required.

Technologies

AWS
Redshift
S3
AWS Glue
EMR
Kinesis
FireHose
Lambda
IAM

Benefits

Sign-on payments
Restricted stock units (RSUs)
Comprehensive health coverage including medical, dental, vision, prescription, and Life & AD&D insurance with optional supplemental plans
Employee assistance program and mental health support
Flexible spending accounts
401(k) matching
Paid time off
Parental leave

About the Team

The Zappos Analytics team converts data into actionable insights to empower partners to make data driven decisions that support profitability and growth.
The team develops performance metrics and visualizations using data from across the organization.
Working with AWS technologies, you will collaborate with cross functional teams to solve business problems and help stakeholders gain timely, valuable insights.

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Kinesis Data Jobs

Backend/AI Engineer

Data Engineer, Decision Intelligence Technology

Data Engineer, OIS/CXI Analytics

Data Engineer II

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