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Remote Data Infrastructure Jobs in Stuart, FL (NOW HIRING)

Bayswater Consulting Group

Data Engineer

Jupiter, FL · Remote

$110K - $150K/yr

This is a fully remote position open to candidates across the United States. Responsibilities ... Develop and manage data warehouses, data lakes, and data infrastructure * Collaborate with data ...

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Remote Data Infrastructure information

What are the key skills and qualifications needed to thrive as a remote data infrastructure engineer?

To excel as a Remote Data Infrastructure Engineer, you need a strong background in computer science, data architecture, and experience with cloud platforms such as AWS, Azure, or Google Cloud. Familiarity with tools like Terraform, Kubernetes, and data pipeline technologies, as well as relevant certifications (e.g., AWS Certified Solutions Architect), is typically required. Strong problem-solving abilities, clear communication, and self-motivation are essential soft skills for remote collaboration and troubleshooting. These competencies ensure reliable, scalable data systems and effective teamwork across distributed environments.

What are some common challenges faced by professionals working in remote data infrastructure roles?

Professionals in remote data infrastructure roles often encounter challenges such as ensuring seamless communication across distributed teams, maintaining high availability and performance of data systems, and managing security risks associated with remote access. Coordinating with colleagues across different time zones can require flexibility in scheduling and proactive communication. Additionally, remote data infrastructure engineers must stay up-to-date with evolving cloud technologies and best practices to effectively support scalable, reliable, and secure data architectures.

What is remote data infrastructure?

Remote data infrastructure refers to the systems, tools, and processes that enable organizations to collect, store, manage, and analyze data from remote locations, often via cloud-based platforms. This infrastructure allows teams to access and work with data securely from anywhere, supporting distributed work environments and scalable data solutions. It typically involves cloud storage, data pipelines, databases, and security protocols tailored for remote accessibility. Remote data infrastructure is essential for businesses that operate in multiple locations or have remote teams.

What cities near Stuart, FL are hiring for Remote Data Infrastructure jobs?

Cities near Stuart, FL with the most Remote Data Infrastructure job openings:

Remote Data Infrastructure jobs near you
Infographic showing various Remote Data Infrastructure job openings in Stuart, FL as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.

Data Engineer

Bayswater Consulting Group

Jupiter, FL • Remote

$110K - $150K/yr

Full-time

This job post has expired today. Applications are no longer accepted.

Job description

Data Engineer

About the Role

We are working with a client seeking a skilled Data Engineer for a full-time, direct hire opportunity. This is a fully remote position open to candidates across the United States.

Responsibilities

  • Design, build, and maintain scalable data pipelines and ETL processes
  • Develop and manage data warehouses, data lakes, and data infrastructure
  • Collaborate with data scientists, analysts, and business stakeholders to understand and support data needs
  • Ensure data quality, integrity, and availability across all pipelines and systems
  • Optimize data workflows for performance, reliability, and cost efficiency
  • Implement data governance and security best practices
  • Monitor and troubleshoot data pipeline failures and performance issues
  • Document data architecture, pipelines, and processes thoroughly

Requirements

  • 3+ years of experience in a data engineering role
  • Proficiency with Python or Scala for data pipeline development
  • Strong experience with SQL and relational databases
  • Hands-on experience with data pipeline tools such as Apache Spark, Airflow, Kafka, or similar
  • Experience with cloud data platforms — AWS Redshift, Azure Synapse, Google BigQuery, or Snowflake
  • Familiarity with data modeling concepts and best practices
  • Strong problem-solving skills and attention to detail
  • Excellent communication and documentation habits

Nice to Have

  • Experience with dbt for data transformation
  • Familiarity with real-time streaming data pipelines
  • Knowledge of data governance frameworks and data catalog tools
  • Experience with machine learning pipelines and MLOps
  • Cloud certifications relevant to data — AWS Data Analytics, Azure Data Engineer, or GCP Professional Data Engineer

Compensation

$110,000 — $150,000 base salary depending on experience. Full benefits package available.

Location

Fully remote — United States.