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Data Engineer Relocation Jobs in Florida (NOW HIRING)

Data Scientist

Valparaiso, FL ยท On-site

$87.10K - $157.45K/yr

To be considered you must be local or willing to relocate. Basic Qualifications: * US Citizen with ... Work with other analysts and data engineers to develop data models, design data storage, integrate ...

Data Scientist

Valparaiso, FL ยท On-site

$87.10K - $157.45K/yr

To be considered you must be local or willing to relocate. Basic Qualifications: * US Citizen with ... Work with other analysts and data engineers to develop data models, design data storage, integrate ...

_ ** Job Title: Jr. Data Scientist **_ _ ** Location: Miami, FL **_ _ ** Employment type: Fulltime ... Programming, GCP & Airflow will be preferred. ** To Qualify ** * You should be willing to relocate ...

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Junior Data Scientist

Miami, FL ยท On-site

$30 - $35/hr

Job Title: Jr. Data Scientist Location: Miami, FL Employment type: Fulltime Duration: 2 years Exp ... Programming, GCP & Airflow will be preferred. To Qualify * You should be willing to relocate ...

Relocation assistance is available for this position. What you'll do: * Gathers, interprets, and ... Develops best practices for engaging with Data Engineering and IT to deploy production-ready ...

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Relocation assistance is available for this position. What you'll do: * Gathers, interprets, and ... Establishes and maintains best practices for engaging with Data Engineering and IT to deploy ...

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Data Engineer Relocation information

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

To thrive as a Data Engineer, you need strong skills in data modeling, ETL (Extract, Transform, Load) processes, and proficiency in programming languages such as Python or SQL, typically supported by a degree in computer science or a related field. Familiarity with big data platforms (like Hadoop or Spark), cloud services (such as AWS or Azure), and relevant certifications are highly valued. Excellent problem-solving, communication, and teamwork skills help you collaborate effectively and adapt to evolving data needs. These skills ensure robust data pipelines, reliable analytics, and support for organizational data-driven decision-making.

What are some common challenges data engineers face when relocating for a new position?

When relocating for a data engineering role, professionals often encounter challenges such as adapting to new data privacy regulations, integrating with local teams, and understanding company-specific data infrastructure. Adjusting to a different work culture and collaborating across time zones can also require flexibility and strong communication skills. Proactively seeking support from HR and technical onboarding resources can help ease the transition and ensure a smooth start in the new environment.

What is a Data Engineer Relocation?

A Data Engineer Relocation refers to the process of a data engineer moving to a new city, state, or country for a job opportunity. Often, companies offer relocation packages or assistance to help data engineers with the costs and logistics of moving. This can include covering moving expenses, temporary housing, and support for settling into a new location. Relocation is common in the tech industry due to the high demand for skilled data engineers in specific regions or at company headquarters.

What is the difference between Data Engineer Relocation vs Data Engineer?

AspectData Engineer RelocationData Engineer
Required CredentialsBachelor's in CS, Data Science, or related field; experience with cloud platformsBachelor's or higher in CS, Data Science, or related; proficiency in SQL, Python, and ETL tools
Work EnvironmentTypically involves relocating to a new city or country; may include remote work optionsUsually based in an office or remote; focuses on data pipeline development
Employer & Industry UsageUsed by companies hiring for international or remote data roles requiring relocationCommon in tech, finance, healthcare industries for data infrastructure roles

In summary, Data Engineer Relocation involves moving to a new location for a data engineering role, often requiring additional logistical planning, while Data Engineer refers to the role itself, which can be based anywhere. Both roles share similar skills and credentials but differ mainly in the relocation aspect.

What cities in Florida are hiring for Data Engineer Relocation jobs? Cities in Florida with the most Data Engineer Relocation job openings:
Google Cloud Platform - Data Architect / Engineer

Google Cloud Platform - Data Architect / Engineer

Exusia

Doral, FL โ€ข Remote

$59 - $75.75/hr

Full-time

Posted 12 days ago


Job description

Google Cloud Platform - Data Architect / EngineerUnited States ยท Full-time ยท Intermediate#### About The PositionDepartment: Sales and Delivery Team โ€“ EmpowerIndustry: Information Technology & Services, Computer Software, Management ConsultingLocation: United States (Work From Home) + some client travelExperience Range: 8+ yearsBasic Qualification: Master/Bachelor of Engineering or EquivalentTravel Requirements: Required client travel or relocation.Website:Exusia, a cutting-edge digital transformation consultancy, seeks Google Cloud Platform Architect/Developer to join our global delivery team's Data Engineering & Analytics practice in the United States.The GCP - Senior Data Architect / Engineer role will be part of our AI, Data & Cloud practice and will be focused on delivering best of breed AI, Data & Analytics solutions based on Google Cloud Platform for Exusia' s clients.The candidate will also be part of the AI, Data & Cloud practice teams and contribute to competency development & driving innovation through various internal initiatives within the company across the 3 major cloud platforms โ€“ GCP, AWS & AZURE. Candidate should have more than 5 years of cloud experience with at least 3 years on GCP architecting, designing and building data lakes /data warehouses / data pipelines / AI & ML solutions using GCP services.#### RequirementsCriteria for the Role!Responsibilities:* Work on client projects to Architect and deliver robust ETL processes / Data Pipelines / Data Analytics* Architect, Build & Deploy scalable Data Engineering & Analytics solutions* Provide hands on technical leadership for relevant technical skills on multiple projects if required* Take complete ownership of the SDLC cycle & own all technical deliverables* Design data pipelines to ingest & integrate structured/unstructured data from heterogeneous sources* Collaborate with delivery leadership to deliver projects on time adhering to the quality standards* Contribute to the growth of the Cloud practice by helping with solutioning for prospects* Providing mentorship to junior resourcesMandatory Skills:* Should have 8+ years of experience working with various Cloud platforms* Minimum 4+ years of experience on GCP general architecture with at least 3 end to end projects* Knowledge in Infrastructure and application Migrations from on premise to GCP* Hands on experience working on GCP Cloud projects in the areas of data engineering, Business Intelligence or Machine Learning is mandatory* Ability to lead a technical solution discussion on the cloud infrastructure and architecture* Responsible for design setting up of new GCP cloud environments, Sizing and managing deployments* Must have handled projects using ETL / Data Pipeline and Orchestration tools โ€“ Cloud composer, Cloud data fusion, Dataflow and Dataproc* Must have exposure to Data Analytics & Querying services like BigQuery, Datalab* Must have hands on experience on Big Table, Datastore, Firestore and Memorystore* Should have exposure to following general GCP services* Storage โ€“ Cloud storage, Persistent disk, Cloud filestore* Compute โ€“ App Engine, Compute Engine and VMware Engine* Developer & Productivity tools โ€“ Artifact & Container Registry, Cloud source repositories* Problem-solving skills along with good interpersonal & communication skillsNice-to-Have Skills* Exposure to GCP AI & ML related services is an advantage* Exposure to Network services like Cloud CDN / DNS / IDS / NAT / Interconnect / VPN / VPC etc* Understanding of comparative offerings from AWS and Azure will be a big plusAbout ExusiaExusia () is a global technology consulting company that empowers its clients to gain a competitive edge by accelerating business objectives and providing strategy and solutions in data management and analytics. The company has established its leadership position by solving some of the world's largest and most complex data problems in the financial, healthcare, telecommunications and high technology industries.Exusia's mission is to transform the world through the innovative use of information.Exusia was recognized by Inc.

5000 and by Crain's publications as one of the fastest growing privately held companies in the world. Since the company's founding in 2012, Exusia has experienced an impressive seven years of revenue growth and has expanded its operations in the Americas, Asia, Africa and UK. Exusia has recently also been recognized by publications such as the CIO Review, Industry Era, Insight Success and the CIO Bulletin for the company's innovation in IT Services, the Telecommunications and Healthcare industries and its entrepreneurship.

The company is headquartered in Miami, Florida, United States with development centers in Pune, Hyderabad, Bengaluru and Gurugram, India.Interested applicants should apply by forwarding their CV to: elevate@exusia.com J-18808-Ljbffr