data engineer ii

senior software engineer

infrastructure engineer (data center) Jobs in Miami

infrastructure engineer (data center)

junior data engineer

lead data analyst, data & analytics Jobs in Miami

lead data analyst, data & analytics

data engineer

Norwegian Cruise Line Holdings Ltd.

<div>
 <p>
  <strong>
   JOB SUMMARY
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <p>
  The Data Engineer is responsible for designing, developing, and maintaining scalable data solutions that support enterprise reporting, analytics, and operational needs across Global Technology Operations. This role builds and optimizes data pipelines, supports data warehousing initiatives, and contributes to the stability and performance of modern and legacy data platforms. The position partners with cross-functional teams to ensure reliable, secure, and high-quality data solutions aligned with business objectives. Through collaboration, innovation, and technical excellence, the Data Engineer helps enable data-driven decision-making across the organization.
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  <strong>
   RESPONSIBILITIES
  </strong>
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 </p>
 <ul>
  <li>
   Design, develop, and maintain data pipelines and integration solutions that support enterprise analytics and operational reporting.
  </li>
  <li>
   Build and enhance data warehouse structures, data marts, and transformation processes to ensure scalable and reliable data delivery.
  </li>
  <li>
   Develop and maintain ELT/ETL workflows using approved enterprise tools and platforms.
  </li>
  <li>
   Collaborate with Product Owners, Business Analysts, and cross-functional technology teams to translate business requirements into technical solutions.
  </li>
  <li>
   Perform data validation, testing, and troubleshooting to ensure accuracy, performance, and data integrity.
  </li>
  <li>
   Support ongoing maintenance and optimization of legacy data integrations and applications as required by the supported vertical.
  </li>
  <li>
   Contribute to backlog refinement, sprint planning, and Agile ceremonies to ensure timely and effective delivery of assigned work.
  </li>
  <li>
   Follow established data governance, security, and quality standards to protect enterprise data assets.
  </li>
  <li>
   Document technical designs, data flows, and processes to ensure transparency and knowledge sharing across teams.
  </li>
  <li>
   Perform other job-related duties as assigned.
  </li>
 </ul>
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  <strong>
   QUALIFICATIONS
  </strong>
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  <strong>
   DEGREE TYPE:
  </strong>
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  Bachelor's Degree
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  <strong>
   FIELD(S) OF STUDY:
  </strong>
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  Computer Science, Information Systems, Engineering, Mathematics or Related Field
 </p>
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  <br/>
 </p>
 <p>
  <strong>
   EXPERIENCE
  </strong>
 </p>
 <ul>
  <li>
   Minimum of 3&ndash;5 years of experience developing and supporting data engineering, data warehousing, or cloud-based data solutions.
  </li>
  <li>
   Experience building and optimizing data pipelines and data transformation processes.
  </li>
  <li>
   Hands-on experience with SQL and at least one scripting or programming language such as Python.
  </li>
  <li>
   Experience working with relational and cloud-based data platforms (e.g., Snowflake, Oracle, SQL Server, or similar).
  </li>
  <li>
   Exposure to ELT/ETL tools (e.g., dbt, Matillion, or comparable technologies).
  </li>
  <li>
   Experience working within Agile delivery frameworks and tools such as Jira.
  </li>
  <li>
   Experience supporting enterprise-scale data environments.
  </li>
  <li>
   Exposure to AWS or other cloud platforms.
  </li>
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   Experience working in environments that support multiple business verticals.
  </li>
 </ul>
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  <strong>
   COMPETENCIES &amp; SKILLS
  </strong>
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  <li>
   Strong analytical and problem-solving skills with attention to data accuracy and quality.
  </li>
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   Ability to manage multiple priorities and meet deadlines in a fast-paced environment.
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   Effective communication skills with the ability to explain technical concepts to non-technical stakeholders.
  </li>
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   Understanding of data modeling concepts and database design principles.
  </li>
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   Working knowledge of data governance and security best practices.
  </li>
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   Ability to collaborate effectively across cross-functional teams.
  </li>
  <li>
   Continuous learning mindset with interest in emerging data technologies and practices.
  </li>
 </ul>
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 </p>
</div>


Data Engineer

CAI (Computer Aid, Inc.)

<div>Junior Data Engineer<p></p><p>
Req number:</p>
R7496<p></p><p>
Employment type:</p>
Full time<p></p><p>
Worksite flexibility:</p>
Onsite<div></div><div><p>
Who we are</p></div><p>
CAI is a global services firm with over 9,000 associates worldwide and a yearly revenue of $1.3 billion+. We have over 40 years of excellence in uniting talent and technology to power the possible for our clients, colleagues, and communities. As a privately held company, we have the freedom and focus to do what is right&mdash;whatever it takes. Our tailor-made solutions create lasting results across the public and commercial sectors, and we are trailblazers in bringing neurodiversity to the enterprise.</p><p></p><p>
Job Summary</p>
We are looking for a motivated Junior Data Engineer ready to take us to the next level! If you have expertise in designing and maintaining scalable data pipelines, proficiency in Python, SQL, or Scala, and experience with cloud platforms like AWS, Azure, or GCP, and are looking for your next career move, apply now.<p></p><p>
Job Description</p><p></p><p>
We are looking for a Junior Data Engineer to design, build, and maintain scalable data pipelines and infrastructure. This role is critical in supporting analytics, machine learning, and business intelligence initiatives across the organization. As a Data Engineer, you will ensure our data is clean, accessible, and optimized for performance across various systems. This position will be a contract and onsite in Miami, FL.</p><p></p><p>
Due to the specific legal and contractual requirements associated with this position, this role will be direct employment with CAI. This position does not offer work authorization sponsorship now or in the future.</p><p></p><p>
What You&rsquo;ll Do</p><ul><li><p>
Develop and maintain ETL/ELT pipelines for both structured and unstructured data</p></li><li><p>
Collaborate with data scientists, analysts, and developers to address data needs and requirements</p></li><li><p>
Design and manage data architecture, storage solutions, and integration processes</p></li><li><p>
Implement data quality checks, monitoring systems, and performance optimization strategies</p></li><li><p>
Ensure data security and compliance with relevant standards and regulations</p></li><li><p>
Document processes and actively contribute to data governance initiatives</p></li></ul><p></p><p>
What You&rsquo;ll Need</p><p>
Required:</p><ul><li><p>
Proficiency in programming languages such as Python, SQL, or Scala</p></li><li><p>
Experience working with cloud platforms like AWS, Azure, or Google Cloud Platform (GCP), as well as data tools</p></li><li><p>
Strong understanding of database systems, data modeling, and APIs</p></li></ul><p></p><p>
Preferred:</p><ul><li><p>
Exceptional attention to detail and a commitment to maintaining data integrity</p></li></ul><p></p><p>
Physical Demands</p><ul><li><p>
Ability to safely and successfully perform the essential job functions consistent with the ADA and other federal, state, and local standards</p></li><li><p>
Sedentary work that involves sitting or remaining stationary most of the time with occasional need to move around the office to attend meetings, etc.</p></li><li><p>
Ability to conduct repetitive tasks on a computer, utilizing a mouse, keyboard, and monitor</p></li></ul><p></p><p>
Reasonable accommodation statement</p><p>
If you require a reasonable accommodation in completing this application, interviewing, completing any pre-employment testing, or otherwise participating in the employment selection process, please direct your inquiries to application.accommodations@cai.io or (888) 824 &ndash; 8111.</p><p></p>
$25.00-$27.00 per hour<p>
The pay range for this position is listed above. Exact compensation may vary based on several factors, including location, experience, and education. Benefit packages include medical, dental, and vision insurance, as well as 401k retirement account access. Employees in this role may also be entitled to paid sick leave and/or other paid time off as provided by applicable law.</p></div>

Junior Data Engineer

Lennar

<div>
 <strong>
  Job Description
  <br/>
  <br/>
 </strong>
 <strong>
  We are Lennar
  <br/>
  <br/>
 </strong>
 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&reg; company and consistently ranked among the top homebuilders in the United States.
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 <strong>
  Join a Company that Empowers you to Build your Future
  <br/>
  <br/>
 </strong>
 As a Data Engineer, you are responsible for analyzing large amounts of business data, solving real world problems, and developing metrics and business cases that will enable Business Insights. This is done by leveraging data from various platforms such as Jira, Portal, Salesforce. You will work with a team of Product Managers, Software Engineers and Business Intelligence Engineers to automate and scale the analysis, and to make the data more actionable to manage business at scale. You will own many large datasets, implement new data pipelines that feed into or from critical data systems.
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   A career with purpose.
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   A career built on making dreams come true.
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   A career built on building zero defect homes, cost management, and adherence to schedules.
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  </li>
 </ul>
 <strong>
  Your Responsibilities On The Team
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 </strong>
 <ul>
  <li>
   Design, implement and support an analytical data infrastructure and working knowledge of Modern Data Warehouse concepts.
  </li>
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   Design, build, and maintain efficient and scalable data pipelines and ETL processes to process large volumes of structured and unstructured data.
  </li>
  <li>
   Optimize data storage and retrieval methods to ensure performance, scalability, and cost-efficiency.
  </li>
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   Manage AWS resources including EC2, S3, Glue, Lambda, API&rsquo;s, IAM, Cloud Watch etc.
  </li>
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   Interface with other technology teams to extract, transform, and load data from a wide variety of data sources using SQL and AWS big data technologies
  </li>
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   Explore and learn the latest AWS technologies to provide new capabilities and increase efficiency
  </li>
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   Collaborate with Data Scientists and Business Intelligence Engineers (BIEs) to recognize and help adopt best practices in reporting and analysis
  </li>
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   Help continually improve ongoing reporting and analysis processes, automating or simplifying self-service support for customers
  </li>
  <li>
   Maintain internal reporting platforms/tools including troubleshooting and development. Interact with internal users to establish and clarify requirements in order to develop report specifications.
  </li>
  <li>
   Work with Engineering partners to help shape and implement the development of BI infrastructure including Data Warehousing, reporting and analytics platforms.
  </li>
  <li>
   Contribute to the development of the BI tools, skills, culture and impact.
  </li>
  <li>
   Write advanced SQL queries and Python code to develop solutions.
  </li>
  <li>
   Working Knowledge of Snowflake.
  </li>
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   Collaborate across teams to align AI initiatives with organizational goals and understanding of AI concepts
  </li>
  <li>
   Knowledge on continuous integration/continuous delivery (CI/CD) pipelines and working on deployments when necessary.
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   <br/>
   <br/>
  </li>
 </ul>
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  Requirements
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  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Bachelor's degree in Computer Science, Information Technology, or a related field.
  </li>
  <li>
   3-5 years of experience in data engineering or a related role, with demonstrated success in delivering data solutions.
  </li>
  <li>
   AWS Glue, Lambda, S3, EC2, CloudWatch, Cloud Trail.
  </li>
  <li>
   Dbt, Snowflake, SQL, Python, Qlik.
  </li>
  <li>
   Proficient in SQL, with the ability to write complex queries, perform query optimization, and conduct performance tuning.
  </li>
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   Experience with NoSQL databases, such as MongoDB, Cassandra, or DynamoDB, and an understanding of their appropriate use cases.
  </li>
  <li>
   Strong programming skills in Python, Java, or Scala, with experience in data processing frameworks (e.g., Apache Spark, Hadoop).
  </li>
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   Experience with cloud platforms (AWS, Azure, GCP) and data services, such as AWS Redshift, Azure Synapse, or Google BigQuery.
  </li>
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   Knowledge of big data technologies, including Hadoop, Spark, Kafka, and HBase, with experience in distributed data processing.
  </li>
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   Familiarity with data orchestration tools, such as Apache Airflow for scheduling and managing data workflows.
  </li>
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   Experience with data versioning and testing tools, such as DVC (Data Version Control) and dbt (data build tool).
  </li>
  <li>
   Understanding of data security practices, including encryption, access controls, and data masking.
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   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Physical &amp; Office/Site Presence Requirements:
  <br/>
  <br/>
 </strong>
 Regular, in-person attendance at the Lennar office during regular work hours is an essential function of this job. 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.
 <br/>
 <br/>
 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.
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 <strong>
  Life at Lennar
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  <br/>
 </strong>
 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&rsquo;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&rsquo;s policies and applicable plan terms. Visit Lennartotalrewards.com to view our suite of benefits.
 <br/>
 <br/>
 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 | LinkedInhttps://www.linkedin.com/company/lennar/&gt; for the latest job opportunities.
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 <strong>
  Lennar is an equal opportunity employer and complies with all applicable federal, state, and local fair employment practices laws.
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 </strong>
</div>


Data Engineer II

Nicklaus Children's Health System

<div><h2 class="jobSectionHeader"><div><b>Description</b></div></h2><div><b>
Job Summary</b></div><div>
Integrates, builds, and maintains data pipelines and data transformation algorithms for enterprise data analytics consumption. Responsible for data integration, monitoring of data storage, and data distribution across multiple on premise and cloud-based data environments in preparation for sophisticated analytics consumption, data mining, and enterprise data insights.</div><div></div><div><b><br>
Job Specific Duties</b></div><ul><li><div>
 Designs and develops highly scalable, end to end process to consume, integrate and analyze large volume, and complex data from dispersed data sources on both on premise and cloud-based data environments and systems.
 </div></li><li><div>Integrates, builds, and maintains data pipelines and data transformation algorithms for enterprise data analytics consumption.
 </div></li><li><div>Responsible for data integration, monitoring of data storage, and data distribution across multiple on premise and cloud-based data environments in preparation for sophisticated analytics consumption, data mining, and enterprise data insights.
 </div></li><li><div>Engages and communicates effectively with a variety of IT, research, and medical staff.
 </div></li><li><div>Integrates and ETL/ELT datasets and flows using a variety of open source and best in class proprietary software.
 <br>
</div></li><li><div>Write complex, efficient queries against large, and disparate data sources.
 </div></li><li><div>Monitors ETL/ELT performance and ensures compliance with security.
 </div></li><li><div>Deploy sophisticated analytics programs, machine learning, and statistical methods. Prepare data for predictive and prescriptive modeling. Find hidden patterns using data to help improve business insights.
 </div></li><li><div>Use of machine learning patterns for data discovery and on tasks that can be automated.</div></li></ul><div></div><div><br>
</div><div></div><h2 class="jobSectionHeader"><div><b>Qualifications</b></div></h2>
<div><b>Minimum Job Requirements</b></div><ul><li><div>
Bachelor's Degree in IT, Biomedical Informatics, Computer Science, Engineering or related field with at least 4 years of combined experience in Clinical IT and/or Research (or) Master&rsquo;s degree in IT, Biomedical Informatics, Computer Science, Engineering with at least 2 years of combined experience in Clinical IT and/or Research</div></li><li><div>
1-3 years of data engineering and integration experience</div></li><li><div>
 1-3 years of data management in cloud-based data environments such as Azure or AWS</div></li><li><div>
 3-5 years of experience developing database schemas, querying, managing, or curating Oracle PL/SQL or SQL server databases</div></li><li><div>
 1-3 years of data warehousing ELT/ETL experience</div></li><li><div>
 1-3 years of experience with the use of Python, SQL, SSIS, or Informatica for data ETL and data transformations</div></li><li><div>
 Experience working with API&rsquo;s/RESTful Web Services</div></li><li><div>
 Experience with XML, JSON, HL7, or FHIR</div></li><li><div>
 Experience with data visualization tools such as Tableau or Power BI</div></li></ul><div><b>
Knowledge, Skills, and Abilities</b></div><ul><li><div>
 Direct experience or strong familiarity with commercial EHR platform and/or PeopleSoft.</div></li><li><div>
 Experience extracting and managing data from large enterprise clinical and non-clinical systems.</div></li><li><div>
 Familiarity with and experience with efficient database ETL processes &ndash; extracting data from a wide range of data sources, normalizing data, creating and providing entity relationship diagrams, schemas and related documentation, creating primary and foreign keys and indexing, writing functional and technical specifications.</div></li><li><div>
 Ability to learn and apply new technical skills.</div></li><li><div>
 Willingness and ability to share knowledge with other team members.</div></li><li><div>
 Ability to adapt to changes in fast paced healthcare and data environment.</div></li><li><div>
 Identify ways to improve data reliability, efficiency, and quality.</div></li><li><div>
 Effective work experience developing, integrating, and supporting data systems; working with a combination of both relational and NoSQL databases.</div></li></ul><br>
<div></div>
<br>
<br>
<h2 class="jobSectionHeader"><div><b>Job:</b></div></h2>
Information Technology<br>
<h2 class="jobSectionHeader"><div><b>
Department:</b></div></h2>
ENTERPRISE BUS INTELLIGENCE-1000-921906<br>
<h2 class="jobSectionHeader"><div><b>
Job Status:</b></div></h2>
Full Time</div>

Miami Prestige Interiors

<p><b>Bridging Craftsmanship and the Future</b></p><p>Join a recognized manufacturing leader established in 1971, known for successfully blending cutting-edge technology with traditional craftsmanship. We are stepping boldly into the AI era&mdash;we can&rsquo;t afford to get behind&mdash;and we need a visionary to drive our next phase of innovation and growth.</p><p>We are seeking an enthusiastic, innovative, and AI Innovation Engineer to be the catalyst for our digital transformation. This is a high-impact role where you will be instrumental in making our company even more competitive by implementing powerful new AI tools and technologies.</p><p><b>What You Will Do</b></p><ul><li>Lead the implementation of new AI tools and technologies throughout our processes.</li><li>Collaborate closely with the Head of Research and Engineering to conceptualize and develop useful tools.</li><li>Immerse yourself in our core business functions&mdash;including customer service, accounting, design, and production&mdash;to identify and implement solutions.</li><li>Develop tools and solutions that increase efficiency, enhance quality, and cement our competitive edge in the market.</li></ul><p><b>About You</b></p><p>You are an innovator and a problem-solver who understands that AI is key to the future. You are eager to understand complex business processes and translate that knowledge into functional, transformative programs.</p><p><b>Skills</b></p><ul><li>Proficiency with machine learning frameworks.</li><li>Extensive experience with cloud platforms.</li><li>Strong knowledge of big data technologies.</li><li>Proficiency across multiple programming languages and data processing tools essential for workflow automation and data manipulation.</li><li>Solid understanding of database design principles and linked data architectures.</li><li>Experience with natural language processing (NLP) techniques for language understanding applications.</li><li>Familiarity with model training workflows, deployment strategies, and model monitoring practices.</li><li>Knowledge of analytics tools such for visualization and reporting purposes.</li><li>Ability to work effectively in a collaborative environment while managing multiple projects simultaneously.</li></ul><p><b>Compensation</b></p><p>We are committed to attracting top talent. Show us what you can do, and we promise a generous and competitive salary package that ensures you will be happy with your compensation and that truly reflects your expertise and drive.</p><p>Join us as an AI Innovation Engineer to push the boundaries of technology&mdash;creating intelligent systems that honor craftsmanship while pioneering the future!</p><p>Pay: From $1.00 per year</p><p>Benefits:</p><ul><li>401(k)</li><li>Flexible schedule</li><li>Paid time off</li></ul><p>Work Location: Hybrid remote in Miami, FL 33167</p>

AI Innovation Engineer | Bridging Craftsmanship and the Future

Rumble

<div><div><p><b>Rumble </b>is <i>the</i> Freedom-First technology platform. We proudly offer a video platform, cloud services, advertising solutions, and a non-custodial cryptocurrency wallet.</p></div><p>
Rumble is seeking an experienced <b>Infrastructure Engineer (Data Center) </b>responsible for the operation, maintenance, and optimization of critical data center infrastructure.</p>
<p>
As a key member of the Data Center Services Team, you will:</p>
<ul>
<li>Build, configure, and deploy physical and virtual servers for various applications.</li>
<li>Perform ongoing maintenance, upgrades, and health checks on servers.</li>
<li>Develop and run scripts for automation of administrative and configuration management tasks (Ansible, Terraform).
</li><li>Perform OS and security patching and upgrades.</li>
<li>Diagnose and resolve system issues efficiently and effectively.</li>
<li>Monitor infrastructure-related tickets and respond within established SLAs.</li>
<li>Create and maintain clear technical documentation, processes, and procedures.</li>
<li>Travel to data center locations as required to support operations.</li>
</ul>
<p><b>Required Qualifications</b></p>
<ul>
<li>3+ years of experience working with and building virtual machine&ndash;based solutions.</li>
<li>3+ years of experience building container-based solutions.</li>
<li>3+ years of hands-on Linux administration experience (RHEL, Ubuntu, Rocky), including enterprise server administration (hardware and OS).
</li><li>Ability to work independently as well as collaboratively on a high-performing team.</li>
<li>Strong communication skills and proficiency in documentation.</li>
<li>Ability to think creatively and propose non-traditional or innovative solutions. And has the capacity to implement in a timely manner.
</li></ul><p><b>Preferred Qualifications</b></p>
<ul>
<li>Familiarity with security and compliance
</li><li>Experience with Proxmox or similar open-source virtual machine environments and containers.</li>
<li>Working knowledge of installation and basic administration of open-source databases.
</li><li>Networking experience (load balancing, firewalls, DNS).</li>
<li>Strong awareness of security and compliance best practices.</li>
<li>Python and Bash scripting experience.</li>
<li>Familiarity with Disaster Recovery / Business Continuity (DR/BC) processes.</li>
</ul>
<p><b>Desired Qualifications</b></p>
<ul>
<li>Linux certification, CompTIA A+, or equivalent technical experience.</li>
<li>Experience with one or more programming languages.</li>
</ul>
<p><b>Annual Compensation Range:</b></p>
<p>
$107,000 - $134,000 USD base + benefits + equity</p>
<p>
Note: The salary range listed for this position is a good faith estimate based on experience, qualifications, and internal compensation structure. The actual salary offered varies depending on the candidate's skill level and experience. This posting refers to an active vacancy within the organization.</p><div><p><b>
Why Our Team Loves Working Here:</b></p>
<ul>
<li>We are making a significant financial impact for our video creator community; we're proud of their success stories</li>
<li>We enjoy challenging the status quo and going head-to-head against Big Tech</li>
<li>We aren't afraid to try new things; we act fast and want to win
</li><li>We pay competitive salaries and provide great benefits</li>
</ul>
<p><b>EEO Statement:
</b><br>
Rumble is an equal opportunity employer. We promote an equal playing field where everyone has the same opportunities regardless of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability status, or any other applicable characteristics protected by law. Rumble is an active participant in the e-verify program.
</p><p><b>Physical demands of the position:</b><br>
While performing the duties of this job, the employee is regularly required to sit for prolonged periods of time while using a computer and/or keyboard. The employee is required to communicate verbally and hear. The employee may be required to walk, reach with hands and arms, balance, and stoop or kneel. The employee may occasionally be required to lift and/or move up to 15 pounds. Specific vision abilities required by this job include clarity of vision at approximately 20 inches or less (i.e., working with small objects or reading small print), including the use of computers.</p></div></div>

Infrastructure Engineer (Data Center)

QuickNode

<div><p>Quicknode is a cloud-based infrastructure company that powers the blockchain ecosystem.</p><p>
Our mission is to be the indispensable utility that empowers companies and innovators globally to build next-generation, Web3 enabled businesses &amp; applications using blockchain technology. Quicknode is backed by some of the world's best investors including Tiger Global, Y Combinator, SoftBank, and the Seven Seven Six Fund. The Quicknode team has over 120 people maintaining high performance global data infrastructure for amazing customers serving billions of requests daily.</p><p>
We are a global remote company with an HQ in Miami, Florida.</p><h1 class="jobSectionHeader"><b>
Job Description</b></h1><p><b>
The Role</b></p><p>
As a Senior Go Engineer on the RPC Platform team at Quicknode, you will design, build, and scale the critical infrastructure that powers high-performance blockchain RPC services used by developers and enterprises globally. This role operates at the intersection of distributed systems, Web3 infrastructure, and developer experience, requiring deep technical ownership and a strong bias toward execution.</p><p><b>
What You&rsquo;ll Do</b></p><ul><li><p>
Design, build, and optimize high-throughput, low-latency backend services in Go.</p></li><li><p>
Architect distributed systems.</p></li><li><p>
Own end-to-end delivery from design through production.</p></li><li><p>
Improve uptime and reduce latency across services.</p></li><li><p>
Collaborate with Product, Infrastructure, and DevEx teams.</p></li><li><p>
Debug and resolve complex production issues.</p></li><li><p>
Drive engineering standards and best practices.</p></li></ul><p><b>
What You&rsquo;ll Bring</b></p><ul><li><p>
6&ndash;10 years of experience building and operating backend or distributed systems in high-scale production environments, aligning with P4 expectations.</p></li><li><p>
Strong proficiency in Go, with a demonstrated ability to quickly adopt new languages and frameworks as needed.</p></li><li><p>
Deep experience designing and operating distributed systems, databases, and streaming architectures.</p></li><li><p>
Proven track record of delivering scalable, reliable systems with measurable impact on performance, availability, and developer experience.</p></li><li><p>
Experience working with Web3, blockchain infrastructure, or high-throughput API platforms, including familiarity with RPC services, node infrastructure, or data streaming pipelines.</p></li><li><p>
Strong problem-solving skills with the ability to debug complex, cross-system issues in production environments.</p></li><li><p>
Demonstrated ability to operate autonomously, prioritize effectively, and deliver outcomes in fast-paced, ambiguous environments.</p></li><li><p>
Excellent communication skills with experience collaborating across engineering, product, and customer-facing teams.</p></li></ul><p>
The Quicknode compensation philosophy includes pillars to ensure fair and unbiased compensation for all employees. To design and deliver total reward offerings that are employee-centric. To offer a competitive benefit package in all locations where we operate. To prioritize attracting and retaining the best talent globally. To maintain a high-performing and flexible way of working.</p><p>
During the hiring process, we are committed to discussing compensation openly and honestly. We encourage candidates to share their salary expectations and requirements early, allowing for an individualized discussion. We know that our total rewards practices impact the lives and wellbeing of our employees. Therefore, we will never stop learning about the market, our business, your needs, and how best to achieve our goals through thoughtful and data-driven practices. If you have any questions or require further information about the compensation for this position, please don't hesitate to reach out to your Recruiter.</p><p>
We at Quicknode are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity or expression, pregnancy, age, national origin, disability status, genetic information, protected veteran status, or any other characteristic protected by law.</p></div>

Senior Software Engineer

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