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Remote Data Infrastructure Jobs in Texas (NOW HIRING)

3B Staffing LLC

Data Engineer

Austin, TX · Remote

$113K - $136K/yr

Data Engineer - Cloud Infrastructure (BigQuery, Python, Terraform) Summary: We are seeking a highly ... Remote • Duration: Long-term contract (12+ months) • Client: Major technology client

Arva Intelligence

Data Engineer

Houston, TX · On-site +1

$95K - $130K/yr

Remote Base Salary Range: $95k - $130k General Position Description The Data Engineer is ... Develop and maintain cloud-based infrastructure to support modeling pipelines and optimization ...

Virtasant

Senior Data Engineer, Data Platform

Austin, TX · On-site +1

$113K - $136K/yr

We specialize in cloud architecture, infrastructure, migration, and optimization, helping ... Totally remote within the contiguous United States, full-time (40h/week) * Stable, long-term ...

MyHR Partner, Inc

Data Platform Engineer

Austin, TX · On-site +1

$135K - $155K/yr

Do you want to shape the future of data infrastructure for an AI-first company? * Are you excited to work with a high-trust, remote-first team committed to service, clarity, and innovation? Role ...

myHR Partner

Data Platform Engineer

Austin, TX · On-site +1

$135K - $155K/yr

Do you want to shape the future of data infrastructure for an AI-first company? * Are you excited to work with a high-trust, remote-first team committed to service, clarity, and innovation? Role ...

MyHR Partner, Inc

Data Platform Engineer

Austin, TX · On-site +1

Do you want to shape the future of data infrastructure for an AI-first company? * Are you excited to work with a high-trust, remote-first team committed to service, clarity, and innovation? Role ...

Oracle

Senior Data Center Construction Manager

Abilene, TX · On-site +1

$50 - $67.75/hr

This position is based in Shackelford, Texas, approximately 20 miles from the Oracle Cloud Infrastructure Abilene AI Data Center. It does not offer remote flexibility. We are seeking candidates who ...

Oracle

Senior Data Center Construction Manager

Abilene, TX · On-site +1

$50 - $67.75/hr

This position is based in Shackelford, Texas, approximately 20 miles from the Oracle Cloud Infrastructure Abilene AI Data Center. It does not offer remote flexibility. We are seeking candidates who ...

Oracle

Senior Data Center Construction Manager

Abilene, TX · On-site +1

$50 - $67.75/hr

This position is based in Shackelford, Texas, approximately 20 miles from the Oracle Cloud Infrastructure Abilene AI Data Center. It does not offer remote flexibility. We are seeking candidates who ...

Oracle

Senior Data Center Construction Manager

Abilene, TX · On-site +1

$50 - $67.75/hr

This position is based in Shackelford, Texas, approximately 20 miles from the Oracle Cloud Infrastructure Abilene AI Data Center. It does not offer remote flexibility. We are seeking candidates who ...

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Remote Data Infrastructure information

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

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 are the most commonly searched types of Data Infrastructure jobs in Texas? The most popular types of Data Infrastructure jobs in Texas are:
What are popular job titles related to Remote Data Infrastructure jobs in Texas? For Remote Data Infrastructure jobs in Texas, the most frequently searched job titles are:
What job categories do people searching Remote Data Infrastructure jobs in Texas look for? The top searched job categories for Remote Data Infrastructure jobs in Texas are:
What cities in Texas are hiring for Remote Data Infrastructure jobs? Cities in Texas with the most Remote Data Infrastructure job openings:
Remote Data Infrastructure jobs near you
Infographic showing various Remote Data Infrastructure job openings in Texas as of July 2026, with employment types broken down into 50% Full Time, and 50% Contract. Highlights an 100% Remote job distribution.
Data Engineer

Data Engineer

3B Staffing LLC

Austin, TX • Remote

$113K - $136K/yr

Full-time

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

Job description

Data Engineer - Cloud Infrastructure (BigQuery, Python, Terraform) Summary: We are seeking a highly skilled Data Engineer with hands-on experience in BigQuery, Python, SQL, and Terraform to help modernize and optimize our cloud data infrastructure. This role will focus on building efficient, scalable, and cost-effective data environments across GCP and AWS. The ideal candidate is technically strong, detail-oriented, and a proactive collaborator who communicates effectively across engineering, data, and finance teams. This individual should be passionate about automation, cloud optimization, and continuous improvement within modern data ecosystems. Key Responsibilities: • Redesign and optimize BigQuery environments for improved scalability, performance, and cost efficiency. • Build and maintain ETL/ELT pipelines using Python, SQL, Terraform, and Git-based workflows, ensuring reliable data delivery from development to production. • Apply FinOps practices to monitor, analyze, and optimize cloud data costs across AWS and GCP environments. • Collaborate with Financial Analysts and data stakeholders to structure, import, and manage large datasets in a scalable and governed way. • Implement and enforce data quality, validation, and governance frameworks to ensure data accuracy and consistency. • Automate workflows and identify opportunities to enhance efficiency in data operations and infrastructure management. • Partner with cross-functional teams (engineering, operations, analytics, and business units) to align on architecture, deployment strategies, and best practices. • Communicate clearly and proactively, providing updates, documentation, and insights to both technical and non-technical audiences. • Contribute to team knowledge sharing and continuous improvement, supporting a culture of collaboration and innovation. Required Skills & Qualifications: • 4+ years of experience in data engineering, cloud infrastructure, or similar roles. • Strong proficiency in SQL and Python, with experience in automation, data transformation, and pipeline development. • Hands-on experience with BigQuery, data lakes, and data warehousing design. • Experience with Terraform, CI/CD tools (GitLab, Jenkins, etc.), and infrastructure-as-code workflows. • Familiarity with FinOps concepts, including cost monitoring, optimization, and budgeting for cloud resources. • Working knowledge of AWS and GCP services (Lambda, Cloud Functions, Compute, etc.). • Excellent communication and teamwork skills, with the ability to collaborate effectively in cross-functional environments. • Strong problem-solving, analytical, and documentation abilities, with a focus on delivering measurable impact. Other Details: • Location: Remote • Duration: Long-term contract (12+ months) • Client: Major technology client

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