ZipRecruiter

Log In

2

Remote Data Infrastructure Jobs (NOW HIRING)

Rerun

Software Engineer, Infrastructure

$177K - $209K/yr

Background in data-intensive infrastructure * Interest in robotics, AR/VR, ML, or simulation How we work at Rerun * We're a remote company headquartered in Stockholm, Sweden. * We meet up in person ...

Apex Informatics

Data Platform Infrastructure Engineer

$110K - $144K/yr

Data Platform Infrastructure Engineer Location: 100% remote CA, Remote 1 year contract Must have: • AWS experience with Kubernetes operating knowledge. • Excellent communication skills • Big ...

Pfizer

Medical Analytics Data Engineer

New York, NY · On-site +1

$124K - $207K/yr

ROLE SUMMARY Develop data infrastructure for data scientists and ensure appropriate and efficient ... Remote * Eligible for Relocation Package: No #LI-PFE The annual base salary for this position ...

KORE1 Technologies

Data Engineer

Charleston, SC · On-site +1

$107K - $128K/yr

Remote /hybrid flexibility. Position Overview We are seeking a highly capable Data Engineer to design and build the data infrastructure that powers investment operations, reporting, and business ...

SolvdUS, Inc

Director of Data Engineering

Lenexa, KS · On-site +1

The role requires strong experience with AWS-based data architectures, infrastructure automation ... A fully remote work environment with flexibility and autonomy. * The opportunity to grow with a ...

SolvdUS, Inc

Director of Data Engineering

Lenexa, KS · Remote

The role requires strong experience with AWS-based data architectures, infrastructure automation ... A fully remote work environment with flexibility and autonomy. * The opportunity to grow with a ...

maxRTE

Senior Cloud & Infrastructure Engineer

$111K - $151K/yr

Help manage interface infrastructure supporting healthcare data integrations, ensuring availability ... Manage device security, enrollment, and lifecycle including remote wipe capabilities and MDM ...

RxSaveCard Inc

Data Engineer (Remote)

Chicago, IL · Remote

$117K - $140K/yr

You will design and manage data infrastructure that processes large, complex datasets, including ... Remote or hybrid Chicago work flexibility * Collaborative and dynamic team environment * The chance ...

Abaxis

Data Engineer

Parsippany, NJ · Remote

$105K - $151K/yr

Deep acuity in leveraging the latest in big data and cloud infrastructure methodologies ... Position is Parsippany, NJ preferred; remote considered The US base salary range for this full-time ...

Latica AI

Clinical Data Scientist (Remote)

Develop cross-client pipelines to support our data infrastructure and product. * Build diverse patient cohorts and datasets to continuously enrich Latica's data catalog. Requirements Must Have * 5+ ...

previous page

Showing results 41-60

All JobsData Infrastructure JobsRemote Data Infrastructure Jobs

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.
More about Remote Data Infrastructure jobs
What cities are hiring for Remote Data Infrastructure jobs? Cities with the most Remote Data Infrastructure job openings:
What are the most commonly searched types of Data Infrastructure jobs? The most popular types of Data Infrastructure jobs are:
What states have the most Remote Data Infrastructure jobs? States with the most job openings for Remote Data Infrastructure jobs include:
What job categories do people searching Remote Data Infrastructure jobs look for? The top searched job categories for Remote Data Infrastructure jobs are:
Remote Data Infrastructure jobs near you
Infographic showing various Remote Data Infrastructure job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 12% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.

Principal Data Architect | Remote

Lifeway Christian Resources

Remote

Full-time

Medical, Retirement, PTO

Re-posted 25 days ago

Job description

Overview
Lifeway is seeking a Principal Data Architect to serve as a senior technical and strategic leader responsible for designing, governing, and evolving our enterprise data landscape. Working closely with our Business Intelligence and Master Data teams, you will set the architectural direction for data integration, warehousing, master data management, and AI-readiness across the organization. This is a remote role with significant cross-functional influence - ideal for a seasoned data architect who is energized by both technical depth and strategic leadership in a mission-driven environment.
Why Lifeway?
Lifeway is a place where you can bring your faith and work experience to join in the most important mission in the world: making disciples of Jesus Christ. Whether you're a creator or storyteller, data guru or problem-solver, or anywhere in between, if you're passionate about serving the church, we have a place for you. Lifeway has a strong Work from Anywhere (WFA) culture that is deeply focused on our mission and values. While headquartered in Nashville, TN, many of our positions are remote-eligible and have autonomy and flexibility with work hours. We provide equipment and resources to ensure team members have access to a productive and ergonomic workspace. We believe building relationships and community is essential to how we work together, so Lifeway hosts all-team meetings several times per year and provides travel for key team gatherings for remote-based team members. Full-time employees are eligible for enrollment in our comprehensive benefits plans including healthcare, vacation and sick time, holiday pay, care days, 401(k) plan, maternity and paternity leave, adoption assistance, mission trip time, and more. If this sounds like a place where you would be excited to serve the kingdom of God, we would love for you to join our team.
Learn more about our culture at team.lifeway.com/culture-code
This is a remote position in the U.S. with occasional travel to Nashville for in-person team gatherings. #LI-Remote
Responsibilities
  • Lives out Lifeway's mission and values, showing deep commitment to Kingdom work
  • Define and maintain the enterprise data architecture roadmap, aligning data strategy with long-term business priorities and technology goals
  • Lead the design and evolution of data platforms including data warehouse and lake-house architecture
  • Develop and champion a Data Mesh strategy enabling domain-oriented data ownership, self-serve data infrastructure, and federated governance
  • Architect and oversee enterprise data integration patterns including batch ETL, real-time streaming, and event-driven architectures
  • Establish standards for data pipelines, transformation logic, lineage tracking, and integration frameworks across on-premises and cloud environments
  • Lead efforts to make the organization's data AI-ready to support machine learning and AI applications
  • Drive adoption of data contracts and data product thinking to improve reliability and trust in data assets
  • Lead the design of Master Data Management integrations and provide technical leadership across MDM initiatives
  • Act as a strategic advisor on data initiatives across business units, ensuring architectural soundness and alignment with enterprise standards
  • Provide technical mentorship and architectural guidance to data engineers, BI developers, and MDM Software Engineers
  • Limited travel: 2-4 times per year, typically overnight

Qualifications
Education
Bachelor's degree Computer Science, Data Engineering, or a related field, required
Master's degree in a related field, preferred
Advanced graduate degree (PhD, etc.), not required
Skills, Knowledge, & Experiences, required
  • 10+ years of progressive experience in data engineering, software development, or data architecture roles
  • 5+ years in a senior or principal-level data architecture capacity with ownership of enterprise-scale data programs
  • Deep expertise in data warehousing strategies (Inmon, Kimball, lake-house architecture)
  • Proven experience designing Data Mesh architecture including domain ownership models and data product definitions
  • Strong background in ETL/ELT design and data integration patterns including batch, micro-batch, and streaming
  • Hands-on experience with enterprise integration platforms (Kafka, dbt, Airflow or equivalents)
  • Experience with cloud data platforms such as Snowflake, Microsoft Fabric, or Google BigQuery
  • Proficiency in Python, SQL, Scala, or Java with experience in modern software delivery practices
  • Deep knowledge of Master Data Management principles, tooling, and implementation patterns
  • Ability to travel to the Middle Tennessee area 2-4 times annually for team gatherings

Actively involved in an evangelical Christian church
Skills, Knowledge, & Experiences, preferred
  • Master's degree in Computer Science, Data Engineering, or a related field
  • Familiarity with data cataloging, metadata management, and data observability tools
  • Experience with data governance frameworks and regulatory compliance requirements
  • Ability to build and present data architecture roadmaps tied to measurable business outcomes

Apply