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Snowflake Developer Jobs in Miami, FL (NOW HIRING)

Lead Data Engineer

Miami, FL · Remote

$98K - $129K/yr

Snowflake Data Cloud: * Account administration, optimal virtual warehouse clustering strategies ... Ability to work productively across parallel tracks (Software, Devops, Data) to achieve corporate ...

... , Snowflake, and Graph DB. Key Responsibilities: · Lead architecture across all AI layers: RAG ... engineers, data engineers) Technology Stack: · 8-10+ years software/AI engineering; 1-2+ years ...

Lead Data Engineer

Miami, FL · Remote

$98K - $129K/yr

Lead Data Engineer We are Lennar Lennar is one of the nation's leading homebuilders, dedicated to ... Snowflake Data Cloud * Account Administration * Virtual warehouse strategies * Snowflake feature ...

Lead Data Engineer

Miami, FL · Remote

$98K - $129K/yr

Lead Data Engineer We are Lennar Lennar is one of the nation's leading homebuilders, dedicated to ... Snowflake Data Cloud * Account Administration * Virtual warehouse strategies * Snowflake feature ...

Azure Solutions Architect Expert, Azure Data Engineer Associate, Snowflake Core, Snowflake Databricks Data Engineer Associate] is a plus - Proficient in Python and SQL - Experience with Docker and ...

Data Engineer - Senior Manager

Miami, FL · On-site

$124K - $280K/yr

... Snowflake Architect, Databricks Data Engineer Associate] is a plus - Designing and implementing thorough data architecture strategies - Developing and documenting data models and data flow diagrams ...

Azure Solutions Architect Expert, Azure Data Engineer Associate, Snowflake Core, Snowflake Databricks Data Engineer Associate] is a plus - Proficient in Python and structured/unstructured data ...

New

Data Engineer

Miami, FL · On-site

$109K - $131K/yr

Data Engineer Location: Miami, FL (Onsite preferred) Long Term Contract Role Overview We are ... Hands-on experience with BigQuery or other cloud data warehouses (Snowflake, Redshift, etc.

We're looking for an engineer who builds robust data solutions and works directly with the people ... Design, build, and maintain data pipelines and architecture using Snowflake, dbt, and AWS

Showing results 41-60

Snowflake Developer information

See Miami, FL salary details

$17

$36

$48

How much do snowflake developer jobs pay per hour?

As of Aug 24, 2026, the average hourly pay for snowflake developer in Miami, FL is $36.77, according to ZipRecruiter salary data. Most workers in this role earn between $31.25 and $40.91 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Snowflake Developer?

To thrive as a Snowflake Developer, you need expertise in data warehousing concepts, strong SQL skills, and a solid understanding of cloud-based data platforms, often supported by a degree in computer science or a related field. Familiarity with Snowflake-specific features, ETL tools like Informatica or Talend, and certifications such as SnowPro Core are highly beneficial. Attention to detail, problem-solving, and effective communication are crucial soft skills for translating business requirements into technical solutions. These skills ensure efficient data integration, optimized performance, and successful collaboration with cross-functional teams in data-driven environments.

What are some common challenges a Snowflake developer faces when migrating data from legacy systems?

Snowflake Developers often encounter challenges such as data format inconsistencies, performance tuning during large-scale data loads, and ensuring data security and compliance when migrating from legacy systems. Addressing these issues requires a strong understanding of Snowflake's architecture and features, such as data sharing, zero-copy cloning, and query optimization. Collaboration with data architects, DBAs, and business stakeholders is essential to ensure a smooth migration and to minimize business disruption.

What is the difference between Snowflake Developer vs Data Engineer?

AspectSnowflake DeveloperData Engineer
Primary FocusDesigning and developing Snowflake data solutionsBuilding and maintaining data pipelines and infrastructure
Skills & CertificationsSnowflake certifications, SQL, ETL toolsSQL, Python, cloud platforms, data architecture
Work EnvironmentData teams, cloud environments, SQL-focusedData pipelines, cloud platforms, broader data systems
Industry UsageData warehousing, analytics projectsData integration, big data processing

While both roles work within data environments, Snowflake Developers specialize in creating solutions within the Snowflake platform, focusing on data modeling and SQL development. Data Engineers have a broader scope, building data pipelines and infrastructure across multiple platforms. Understanding these differences helps organizations assign the right talent for their data needs.

How much does a Snowflake developer make?

A Snowflake developer's salary typically ranges from $80,000 to $150,000 annually, depending on experience, location, and certifications. Senior roles or those with advanced skills in data warehousing and cloud platforms may earn higher compensation.

Is a Snowflake developer in demand?

Yes, Snowflake developers are in high demand due to the increasing adoption of cloud data platforms and the need for data warehousing expertise. Skills in SQL, data modeling, and cloud environments like AWS or Azure enhance job prospects in this field.

What cities near Miami, FL are hiring for Snowflake Developer jobs?

Cities near Miami, FL with the most Snowflake Developer job openings:

Infographic showing various Snowflake Developer job openings in Miami, FL as of August 2026, with employment types broken down into 81% Full Time, 5% Part Time, and 14% Contract. Highlights an 83% Physical, 5% Hybrid, and 12% Remote job distribution, with an average salary of $76,474 per year, or $36.8 per hour.

Lead Data Engineer

Lennar

Miami, FL • Remote

$98K - $129K/yr

Full-time

Medical, Dental, Vision, Retirement

Re-posted 15 days ago


Lennar rating

8.0

Company rating: 8.0 out of 10

Based on 46 frontline employees who took The Breakroom Quiz

17th of 80 rated construction


Job description

Lead Data Engineer

We are Lennar

Lennar is one of the nation's leading homebuilders, dedicated to making an impact and creating an extraordinary experience for their Homeowners, Communities, and Associates by building quality homes and providing exceptional customer service, giving back to the communities in which we work and live in, and fostering a culture of opportunity and growth for our Associates throughout their career. Lennar has been recognized as a Fortune 500 company and consistently ranked among the top homebuilders in the United States.

A Career that Empowers You to Build Your Future

The primary mission of the Lead Data Engineer role is to help our business evolve into a data and insights-driven organization.

The Lead Data Engineer will provide technical leadership to our Product Team. This is done by helping design and implement our next generation data and analytics platforms and products using Data engineering best practices. The Lead Data Engineer also will implementing engineering solutions along with the team. In addition, this person focuses on empowering and enabling our business users through self-service and automation. The Lead Data Engineer is a key role in operationalizing Lennar's enterprise data fabric.


Your Responsibilities on the Team

  • Design, Build, and Operationalize: Formulate production-grade data engineering solutions for Lennar's data and analytics platforms and products.
  • Pipeline Architecture: Architect and implement reliable ETL, ELT, and streaming data ingestion/delivery processes across multiple enterprise sources.
  • Modern Python Development: Develop, maintain, and containerize modular data applications and utility scripts using Python, leveraging modern cloud infrastructure.
  • Scale and Improve Infrastructure: Improve data ingestion architecture, emphasizing data quality, cost-performance, maintainability, and extensibility across storage and compute layers.
  • Enforce Standards and Downstream Integrity: Define and implement engineering standards for the data team (including code modularization, version control, automated testing, and secure CI/CD workflows). Ensure strict guidelines for schema evolution to safeguard downstream analytics from unilateral changes.
  • Platform Observability: Instrument data analytics platforms with robust metrics, alerting, and automated monitoring (SLAs/SLOs) to ensure high availability and data trustworthiness.
  • AI-Driven Productivity: Leverage modern AI-assisted development tools within daily engineering workflows to accelerate code generation, optimize heavy queries, and improve overall delivery speed.
  • AI/ML Integration: Collaborate with data science teams to design and optimize data layers specifically tailored for Generative AI applications, Retrieval-Augmented Generation (RAG), and LLM frameworks.
  • Ecosystem Integration: Wrangle and integrate data from highly disparate production systems to allow data analysts and data scientists to leverage optimized, end-to-end data products.
  • Business Alignment: Gain a deep understanding of core business processes and align technical data development with strategic business objectives.

Requirements

Core Expertise (8+ years preferred) in:

  • Data Architecture & Enterprise Modeling: Advanced data warehousing concepts, cloud data lakes, and structured multi-layer designs (Bronze, Silver, Gold).
  • Advanced Data Transformations: Designing complex operational pipelines, data cleanup, and robust standardization strategies.
  • Production SDLC & Workflow Best Practices: Rigorous code reviews, end-to-end testing/QA methodologies, and resilient error-handling frameworks.
  • Data Governance & Security: Implementing enterprise-level role-based access controls (RBAC), data compliance, and secure environments.


Strong Technical Experience (3+ to 6+ years) with:

  • Advanced Python Development: Writing clean, object-oriented, and production-grade Python code for complex data manipulation, automation, and API communication.
  • AWS Platform & Containerization:
    • Hands-on experience deploying, managing, and scaling containerized data workloads using AWS ECS (Elastic Container Service) and ECR.
    • Core AWS architecture: S3, IAM, Lambda, EC2, CloudWatch, and CloudTrail.
    • AWS Certification is a strong plus.
  • Snowflake Data Cloud:
    • Account administration, optimal virtual warehouse clustering strategies, and budget-optimization.
    • Expert feature implementation: Data Sharing, Time Travel, and Zero-copy cloning.
  • dbt (Data Build Tool):
    • Managing multi-repository dbt projects and configuring dbt Cloud environments.
    • Creating, documenting, and optimizing advanced dbt models and custom macros.
  • AI-Assisted Engineering & Data Tools:
    • Daily proficiency with AI coding assistants (GitHub Copilot, Cursor, or Claude/OpenAI APIs) to maximize development efficiency.
    • Familiarity with cloud-native AI services (e.g., Snowflake Cortex or AWS Bedrock) for embedding LLM capabilities directly inside the data layer.
    • Exposure to frameworks used for AI data preparation (e.g., LangChain, Vector Databases, or text embedding generation).
  • Data Ingestion & Integration:
    • Incremental loading and Change Data Capture (CDC) methods.
    • Extensive experience querying and integrating with complex external REST APIs.
  • Version Control & CI/CD: Advanced Git/GitHub branching strategies, pull request enforcement, and automated deployment pipelines.

Familiarity (1+ years of experience) with:

  • Orchestration & Scheduling: Tools like Prefect, Airflow, or similar modern workflow management software.
  • Data Replication: Enterprise tools such as Qlik Replicate.

Soft Skills & Collaboration

  • A "Product-First" Mindset: Demonstrated ability to partner directly with business users and stakeholders to gather solution requirements and translate them into technical assets.
  • Collaborative Drive: Ability to work productively across parallel tracks (Software, Devops, Data) to achieve corporate objectives while protecting engineering quality.
  • Technical Curiosity: A sharp mind and willingness to quickly master new technologies, architectures, and changing business domains.


Physical & Office/Site Presence Requirements:

This is primarily a sedentary office position which requires the incumbent to have the ability to operate computer equipment, speak, hear, bend, stoop, reach, lift, and move and carry up to 25 lbs. Finger dexterity is necessary.

  • Travel up to 10% of the time to Divisions within the Lennar family.
  • Interact well with co-workers.
  • Cross train for position(s) within the team organizational structure from time to time, as required by the Leadership Team.
  • Comply with and implement company policies and procedures.
  • Accept constructive criticism.
  • Strong work ethic.
  • Team player.

This description outlines the basic responsibilities and requirements for the position noted. This is not a comprehensive listing of all job duties of the Associates. Duties, responsibilities and activities may change at any time with or without notice.

#LI-KB2

Life at Lennar

At Lennar, we are committed to fostering a supportive and enriching environment for our Associates, offering a comprehensive array of benefits designed to enhance their well-being and professional growth. Our Associates have access to robust health insurance plans, including Medical, Dental, and Vision coverage, ensuring their health needs are well taken care of. Our 401(k) Retirement Plan, complete with a $1 for $1 Company Match up to 5%, helps secure their financial future, while Paid Parental Leave and an Associate Assistance Plan provide essential support during life's critical moments. To further support our Associates, we provide an Education Assistance Program and up to $30,000 in Adoption Assistance, underscoring our commitment to their diverse needs and aspirations. From the moment of hire, they can enjoy up to three weeks of vacation annually, alongside generous Holiday, Sick Leave, and Personal Day policies. Additionally, we offer a New Hire Referral Bonus Program, significant Home Purchase Discounts, and unique opportunities such as the Everyone's Included Day. At Lennar, we believe in investing in our Associates, empowering them to thrive both personally and professionally. Lennar Associates will have access to these benefits as outlined by Lennar's policies and applicable plan terms. Visit Lennartotalrewards.com to view our suite of benefits.

Join the fun and follow us on social media to see what's happening at our company, and don't forget to connect with us on Lennar: Overview | LinkedIn for the latest job opportunities.

Lennar is an equal opportunity employer and complies with all applicable federal, state, and local fair employment practices laws.


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About Lennar

Sourced by ZipRecruiter

Since 1954, Lennar has built over one million new homes for families across America. We build in some of the nation’s most popular cities, and our communities cater to all lifestyles and family dynamics, whether you are a first-time or move-up buyer, multigenerational family, or Active Adult.

Industry

Construction

Company size

5,001 - 10,000 Employees

Headquarters location

Miami, FL, US

Year founded

1954

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