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Remote Python Automation Engineer Jobs in Sunrise, FL

Lead Data Engineer

Miami, FL · On-site +1

$98K - $129K/yr

Lead Data Engineer We are Lennar Lennar is one of the nation's leading homebuilders, dedicated to ... Python code for complex data manipulation, automation, and API communication. * AWS Platform ...

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 ... Python code for complex data manipulation, automation, and API communication. * AWS Platform ...

We are currently looking for a Backend Engineer for a 100% remote position on a large federal ... Familiarity with AWS cloud services, container platforms, and deployment automation tools is ...

... automation workflows. Why Join Us: * Opportunity to grow into Engineering Leadership. * Work directly with company Founders. * Lead AI-driven product innovation. * Flexible remote work.

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Remote Python Automation Engineer information

See Sunrise, FL salary details

$21.9K

$133.5K

$193.1K

How much do remote python automation engineer jobs pay per year?

As of Jul 14, 2026, the average yearly pay for remote python automation engineer in Sunrise, FL is $133,481.00, according to ZipRecruiter salary data. Most workers in this role earn between $105,400.00 and $156,900.00 per year, depending on experience, location, and employer.

How does a Remote Python Automation Engineer typically collaborate with cross-functional teams, given the remote work environment?

As a Remote Python Automation Engineer, you'll frequently interact with developers, QA analysts, DevOps teams, and project managers using collaborative tools such as Slack, Jira, and GitHub. Effective communication is crucial for aligning on automation requirements, debugging issues, and deploying solutions. You'll often participate in virtual meetings, code reviews, and sprint planning sessions to ensure your automation scripts integrate seamlessly with broader workflows. Proactive documentation and regular updates help maintain transparency and foster smooth teamwork despite the physical distance.

What is the difference between Remote Python Automation Engineer vs Remote QA Automation Engineer?

AspectRemote Python Automation EngineerRemote QA Automation Engineer
Required CredentialsBachelor's in CS or related, Python proficiency, automation tools knowledgeBachelor's in CS or related, testing frameworks, scripting skills, Python often preferred
Work EnvironmentDevelops automation scripts, collaborates with development teams, uses Python-based toolsDesigns test cases, automates testing processes, uses testing frameworks and scripting
Employer & Industry UsageTech companies, software development, DevOps teamsSoftware companies, QA teams, product testing environments

The main difference is that Remote Python Automation Engineers focus on developing automation solutions using Python to streamline development and deployment processes, while Remote QA Automation Engineers concentrate on automating testing procedures to ensure software quality. Both roles require Python skills but serve different stages of the software lifecycle.

What is a Remote Python Automation Engineer?

A Remote Python Automation Engineer is a software professional who specializes in creating, maintaining, and improving automated processes and workflows using the Python programming language, all while working remotely. Their main responsibilities often include writing scripts to automate repetitive tasks, building test automation frameworks, integrating APIs, and optimizing system operations. They collaborate with teams virtually, making use of tools for version control, communication, and project management. This role requires strong Python skills, familiarity with automation tools like Selenium or PyTest, and the ability to work independently in a remote setting.

What are the key skills and qualifications needed to thrive as a Remote Python Automation Engineer, and why are they important?

To thrive as a Remote Python Automation Engineer, you need strong programming skills in Python, expertise in automation frameworks, and a background in computer science or related fields. Familiarity with tools such as Selenium, PyTest, Jenkins, and cloud platforms, along with automation certifications, is often required. Exceptional problem-solving, self-motivation, and effective communication are crucial soft skills for remote collaboration and troubleshooting. These abilities ensure efficient automation solutions, seamless integration with development teams, and successful delivery of high-quality software projects.
What are popular job titles related to Remote Python Automation Engineer jobs in Sunrise, FL? For Remote Python Automation Engineer jobs in Sunrise, FL, the most frequently searched job titles are:
What cities near Sunrise, FL are hiring for Remote Python Automation Engineer jobs? Cities near Sunrise, FL with the most Remote Python Automation Engineer job openings:
Lead Data Engineer

Lead Data Engineer

Lennar

Miami, FL • On-site, Remote

$98K - $129K/yr

Full-time

Medical, Dental, Vision, Retirement

Re-posted 4 days ago


Lennar rating

8.0

Company rating: 8.0 out of 10

Based on 46 frontline employees who took The Breakroom Quiz

19th of 79 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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