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Remote Data Transfer Jobs in Florida (NOW HIRING)

Senior Data Engineer - REMOTE

Sunrise, FL · On-site +1

$99.10K - $134.60K/yr

Senior Data Engineer - Direct Hire - 100% Remote - Will not support Corp to Corp candidates Our ... Real-time ETL - Kafka streaming, (MSK/SQS) * Comfortable standardizing metrics and enabling trusted ...

Remote Commissioning Engineer III Company Overview At Mitsubishi Power, we're not just building ... Support preparation of test reports and data transfer to service teams. Requirements * Bachelor ...

Data Architect - REMOTE

Tallahassee, FL · Remote

$110.10K - $143.10K/yr

Designs ETL/ELT patterns for analytics and reporting systems. * Reviews complex Azure Data Factory pipelines for various reporting and data development projects. * Designs solutions for data lake ...

Sr Data Engineer

Plantation, FL · Remote

$109.10K - $131K/yr

... L workflows that support enterprise-wide data needs. This role requires deep expertise in data ... TYPICAL WORKING CONDITIONS • Full time remote/telework OTHER PHYSICAL REQUIREMENTS • Vision • ...

Data Engineer

Orlando, FL · Remote

$106.90K - $128.40K/yr

Remote (U.S. based) Contract Length: 6 months (with potential extension) Position Summary We are ... This role will support the redesign of our ETL processes, the build-out of a new raw data zone, and ...

... remote military base, Ditto's peer-to-peer sync engine ensures devices stay connected and data ... transfer between classification levels. * Bridge the Gap: Translate the unique, edge-case ...

... data transfer. * Effective written and verbal communications skills with the ability to explain ... This is a fully remote opportunity based in Australia. * Must be eligible to work in Australia ...

... data transfer. * Effective written and verbal communications skills with the ability to explain ... This is a fully remote opportunity based in Australia. * Must be eligible to work in Australia ...

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Remote Data Transfer information

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

To thrive as a Remote Data Transfer Specialist, you need strong analytical skills, attention to detail, and experience with data management or IT systems, often backed by a degree in computer science or a related field. Familiarity with secure file transfer protocols (SFTP, FTP), cloud storage solutions, and data encryption tools is typically required, along with certifications like CompTIA Security+ or similar. Strong problem-solving abilities, effective communication, and the ability to work independently are vital soft skills in this remote role. These competencies ensure accurate, secure, and efficient data transfers, minimizing errors and maintaining data integrity across distributed environments.

What are some common challenges faced by professionals in remote data transfer roles and how can they be addressed?

Professionals in remote data transfer roles often encounter challenges such as ensuring data security during transmission, managing large volumes of files, and maintaining reliable connectivity. To address these issues, it's important to use secure transfer protocols (like SFTP or HTTPS), implement data encryption, and utilize automation tools for batch transfers. Additionally, collaborating closely with IT and cybersecurity teams helps maintain compliance with data privacy regulations and troubleshoot any network-related issues quickly.

What is a Remote Data Transfer job?

A Remote Data Transfer job involves securely moving, copying, or synchronizing data between different locations, systems, or devices over a network, often via the internet. Professionals in this role ensure that data is transmitted efficiently and safely, following best practices for data integrity and privacy. Tasks may include managing large data migrations, setting up automated transfer processes, troubleshooting connectivity issues, and ensuring compliance with relevant regulations. This job often allows for remote work, as most tasks can be performed online using specialized software and cloud services.

What is the difference between Remote Data Transfer vs Remote Data Transfer?

AspectRemote Data TransferRemote Data Analyst
Required CredentialsNetworking certifications, IT or computer science degreeData analysis certifications, statistics or data science degree
Work EnvironmentIT infrastructure, network managementData analysis, reporting, visualization
Industry UsageIT, telecommunications, cloud servicesBusiness, finance, marketing, healthcare
Common Search IntentTechnical network transfer rolesData analysis and reporting roles

Remote Data Transfer focuses on managing and executing data movement across networks, requiring networking skills and IT certifications. Remote Data Analyst involves analyzing data sets, creating reports, and visualizations, often requiring data science or analytics credentials. While both roles work remotely, their core skills, tools, and industry applications differ significantly.

What are the most commonly searched types of Data Transfer jobs in Florida? The most popular types of Data Transfer jobs in Florida are:
What cities in Florida are hiring for Remote Data Transfer jobs? Cities in Florida with the most Remote Data Transfer job openings:
Senior Data Engineer - REMOTE

Senior Data Engineer - REMOTE

BravoTech

Sunrise, FL • On-site, Remote

$99.10K - $134.60K/yr

Full-time

Posted 15 days ago


Job description

Job Description
Senior Data Engineer
- Direct Hire
- 100% Remote
- Will not support Corp to Corp candidates
Our Florida based healthcare client is seeking a highly skilled Senior Data Engineer to lead the next phase in the evolution of their data environment - from pipelines to platform. In this role, you will build the infrastructure that powers everything from customer insights to financial reporting and self-serve analytics. The ideal candidate will have a strong technical background and a vision for what is possible.
As a Senior Data Engineer, you will play a critical role in ensuring our client's data is ready to meet the needs of internal and external stakeholders. You will act as architect for data warehouse and data pipeline design, working with Product, Engineering, and Data Analytics teams to build a reliable and performant data platform.
Job Responsibilities
  • Design and implement scalable data pipelines and platform components, leveraging tools such as Databricks, Airflow, and AWS Aurora.
  • Partner with Product and Engineering to build scalable systems that help unlock the value of data from a wide range of sources such as backend databases and marketing platforms.
  • Lead technical vision and architecture with a holistic point of view on both short-term and long-term horizons.
  • Define and implement data quality frameworks and monitoring systems to ensure ongoing trust in data assets. Enable real-time data presentation to facilitate management of a world-wide workforce.
  • Enable external use cases like customer-facing dashboards, self-serve analytics, and bulk data transfer.
  • Devise migration strategies to ensure data integrity and minimize downtime.
  • Define data quality frameworks to measure and monitor data quality across the enterprise.
  • Implement and maintain robust security measures to protect sensitive data. Ensure compliance with relevant data privacy regulations.
  • Collaborate with technical leadership and contribute to the evolution of data engineering best practices.
  • Serve as a subject matter expert on data engineering technologies, including Databricks, Airflow, and AWS Aurora. Provide guidance and support to development teams on data engineering best practices to ensure efficient data access and integration.
  • Collaborate with database engineers, data analysts, and application developers to understand data requirements and ensure data platform alignment.
  • Stay up to date with the latest data engineering technologies and trends.
  • Preferred: Candidates who demonstrate strong cross-functional communication skills and an interest in developing into leadership roles over time.

Job Requirements
  • Bachelor's degree in Computer Science, Information Technology, or a related field.
  • Minimum of 5 years of experience as a Data Engineer.
  • Proven experience in data warehouse design, implementation, and maintenance using Databricks (Delta Lake, Autoloader, Unity Catalog, Jobs) and dbt.
  • Python + SQL (Spark) development experience.
  • Knowledge of data pipeline tools like Apache Airflow and Kafka (MSK).
  • Experience working with AWS cloud infrastructure, including S3, IAM/KMS, Aurora Postgres and RDS Postgres.
  • Postgres DBA depth: query tuning, autovacuum/fillfactor, EXPLAIN, Liquidbase familiarity.
  • Proficient with BI tools like Sisense, Power BI, or Tableau
  • Real-time ETL - Kafka streaming, (MSK/SQS)
  • Comfortable standardizing metrics and enabling trusted, consistent access to data
  • Excellent problem-solving and troubleshooting skills.
  • Strong communication and interpersonal skills.
  • Ability to work independently and as part of a team.
  • Preferred - Experience in a highly regulated industry (healthcare, banking, etc.)
  • Preferred - Experience with database performance tuning and optimization techniques.
  • Preferred - Knowledge of scripting languages (e.g., Python, PowerShell).
  • Preferred - Familiarity with Salesforce and its data structures.

Meet Your Recruiter
Perry Gross
Text me about this job - 972-419-1628
Please include your name and Job Title in your Text.
Thanks!
  • 972-419-1628
  • pgross@bravotech.com