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From Home Data Platform Engineer Jobs (NOW HIRING)

Data Platform Engineer

Alexandria, VA · On-site

$122K - $147K/yr

... that comes from engineering training. As part of our team, you'll architect and develop ... Cloud Platform Development: Build and deploy data solutions on AWS using services like S3, EC2 ...

Data engineering is the core of this role: designing pipelines, building data models, and ensuring ... Design and maintain scalable ELT/ETL pipelines, integrating data from APIs, SaaS platforms ...

Data Platform Engineer

New York, NY · Hybrid

$125K - $150K/yr

Qualifications * 2-5 years of experience in a Data Platform Engineering role * Strong software ... Our employees have the flexibility of working in the office and from home. * Health Care and ...

## Data Platform EngineerApplylocations: Minneapolis, MNtime type: Full timeposted on: Posted ... data-related projects from the data engineering perspective across the organization.

Data Platform Engineer

$117K - $140K/yr

... from development through staging to production Build and maintain CI/CD workflows using GitHub ... Required 5+ years of platform engineering, infrastructure engineering, or data operations ...

$60 - $110/hr

Innodata Inc. is hiring a remote candidate for Data Platform Engineer (GCP). This is a full time position. Work location: USA. The role typically involves technologies such as SQL, Terraform, CI/CD ...

New

Data Platform Engineer

Cincinnati, OH · On-site

$109K - $131K/yr

ComResource is looking for a Data Platform Engineer. Responsibilities: * Design and implement Dataiku Project Standards to act as a production readiness linter, ensuring all projects meet naming ...

The Data Platform Engineer is responsible for designing, maintaining, and optimizing the ... Promotional opportunities from within the Firm * Employee Perks available from Verizon, Car ...

AI Data Platform Engineer

Cupertino, CA · On-site

$141K - $169K/yr

... do, from amazing technology to industry-leading environmental efforts. Join Apple, and help us ... As an AI Data Platform Engineer with the MSI team, you will design, build, and operate scalable AI ...

This Data Platform Engineer will fill a critical role in enhancing and supporting the Data ... data-related projects from the data engineering perspective across the organization.

Data Platform Engineer

Seattle, WA · On-site

$200K - $250K/yr

As a Data Platform Engineer at Astronomer, you'll be a key partner to our clients, guiding them in ... challenges, from concept to production. * Be a Trusted Advisor : Conduct demos and provide ...

$85 - $127/hr

In this role, you will work across both data platform engineering and data operations. A key objective is to shift operational effort into the Bedrock Platform by driving efficiency, automation ...

... do, from amazing technology to industry-leading environmental efforts. Join Apple, and help us ... As an AI Data Platform Engineer with the MSI team, you will design, build, and operate scalable AI ...

... do, from amazing technology to industry-leading environmental efforts. Join Apple, and help us ... As an AI Data Platform Engineer with the MSI team, you will design, build, and operate scalable AI ...

... do, from amazing technology to industry-leading environmental efforts. Join Apple, and help us ... As an AI Data Platform Engineer with the MSI team, you will design, build, and operate scalable AI ...

Showing results 21-40

From Home Data Platform Engineer information

See salary details

$44.5K

$129.7K

$177.5K

How much do from home data platform engineer jobs pay per year?

As of Aug 22, 2026, the average yearly pay for from home data platform engineer in the United States is $129,716.00, according to ZipRecruiter salary data. Most workers in this role earn between $114,500.00 and $137,500.00 per year, depending on experience, location, and employer.

What is a from home data platform engineer?

From Home Data Platform Engineers are professionals who design, build, and maintain the infrastructure and tools that allow organizations to collect, store, process, and analyze large volumes of data, all while working remotely. They work with cloud platforms, databases, and data pipelines to ensure data is accessible, reliable, and secure for business needs. Their role often involves collaborating with data scientists, analysts, and other engineers to support data-driven decision-making and optimize data workflows from a home office or remote location.

What are the key skills and qualifications needed to thrive as a from home data platform engineer?

To thrive as a From Home Data Platform Engineer, you need a strong background in computer science, data architecture, and cloud platforms, often supported by a relevant degree and experience with large-scale data systems. Proficiency with technologies like SQL, Python, Spark, Hadoop, and cloud services such as AWS, Azure, or GCP, along with certifications like AWS Certified Data Analytics or Google Professional Data Engineer, is typically required. Strong problem-solving abilities, self-motivation, and effective remote communication skills help you excel in a distributed work environment. These skills ensure reliable, scalable data infrastructure and seamless collaboration, which are critical to supporting business analytics and decision-making remotely.

What are some common challenges faced by a from home data platform engineer, and how can they be addressed?

As a From Home Data Platform Engineer, you may encounter challenges such as managing complex data pipelines remotely, ensuring data security, and maintaining effective communication with cross-functional teams. To address these, it’s important to utilize robust version control systems, follow best practices for data governance, and leverage collaboration tools like Slack or Jira for regular updates and troubleshooting. Additionally, setting up secure remote access and automated monitoring can help maintain the integrity and performance of data platforms while working from home.

What is the difference between From Home Data Platform Engineer vs From Home Data Analyst?

AspectFrom Home Data Platform EngineerFrom Home Data Analyst
Primary RoleDesigning, building, and maintaining data infrastructure and platformsAnalyzing data to generate insights and reports
Skills & CertificationsData engineering, SQL, cloud platforms, programming (Python, Java)Data analysis, SQL, visualization tools, statistical knowledge
Work EnvironmentCollaborates with data engineers, software developers, often in cloud environmentsWorks with business teams, data visualization tools, and reporting platforms
Industry UsageTech, finance, healthcare, where data infrastructure is criticalMarketing, sales, finance, and other sectors focusing on data insights

In summary, From Home Data Platform Engineers focus on building and maintaining the data infrastructure, while From Home Data Analysts interpret data to support business decisions. Both roles require strong SQL skills but differ in technical depth and focus areas.

What cities are hiring for From Home Data Platform Engineer jobs?

Cities with the most From Home Data Platform Engineer job openings:

What are the most commonly searched types of Data Platform Engineer jobs?

The most popular types of Data Platform Engineer jobs are:

What states have the most From Home Data Platform Engineer jobs?

States with the most job openings for From Home Data Platform Engineer jobs include:

Data Platform Engineer

Mpr Associates, Inc.

Alexandria, VA • On-site

$122K - $147K/yr

Other

Re-posted 29 days ago


Job description

Overview
MPR Associates, Inc. (MPR), a thriving multi-discipline, specialty engineering services and consulting firm, is actively seeking a capable and motivated Data Platform Engineer to join our team. If you are seeking a unique, challenging, and rewarding career opportunity, MPR may be the right company for you.
Founded in 1964, MPR has a wide and growing client base in the fields of power and energy, federal services, and health and life sciences, in the United States as well as internationally. Headquartered in Alexandria, Virginia, we also have offices in East Lyme, Connecticut, Burlington, Massachusetts, and Salt Lake City, Utah. MPR makes challenging projects successful, delivering safe and reliable technical solutions across the entire project or product life-cycle to benefit our clients and society as a whole. We hire the best and brightest, which results in a high-performance culture built on trust and respect, making MPR an exceptional place to work.
General Job Description
Join our engineering team as a Data Platform Engineer where you'll build robust data processing applications and analytics solutions. We're looking for someone who thrives at the intersection of software engineering, data engineering, and real-world implementations, creating scalable systems that transform raw data into actionable insights.
We specifically seek engineers who bring an engineering mindset to software development - those who approach problems with the systematic, analytical thinking that comes from engineering training. As part of our team, you'll architect and develop applications that handle large-scale data processing, working with modern cloud platforms and visualization tools to deliver comprehensive analytics solutions that support engineering design, analysis and optimization.
Duties/Responsibilities
  • Build Data Applications: Develop high-performance applications using C++, C#, Java, or equivalent languages for data processing.
  • Design Data Pipelines: Create and maintain robust ETL/ELT pipelines that process large volumes of data efficiently.
  • Cloud Platform Development: Build and deploy data solutions on AWS using services like S3, EC2, Lambda, and data analytics tools.
  • Analytics Integration: Implement visualization and reporting solutions that make complex data accessible to stakeholders.
  • Performance Optimization: Ensure applications can handle high-throughput data processing with optimal performance.
  • Cross-Team Collaboration: Work closely with the remainder of the engineering team to implement a solution which fits all needs of the client.

Qualifications
  • U.S. Citizenship is required.
Education
  • Bachelor's degree in an Engineering Discipline.
Experience
  • Two (2) or more years of software engineering experience.
  • Proficiency in C# and Python.
  • Understanding of database systems and data modeling concepts.
  • Comfortable working with both structured and unstructured data.
  • Strong problem-solving skills for both performance and scalability challenges.
  • Experience building data processing pipelines and ETL/ELT workflows preferred.
  • Hands-on experience with AWS data services and cloud architecture preferred.
  • Familiarity with data visualization platforms and reporting systems preferred.
  • Experience building production applications that process significant volumes.
  • Experience building user-facing applications with data backends preferred.
  • Proficiency in C++ preferred.
Skills
  • The ability to learn quickly and adapt to new technologies while multitasking.
  • Ability and interest to stretch beyond current experiences and into new areas of software engineering.
  • Excellent communication skills, both written and oral.
  • Ability to work collaboratively across functional teams.
  • Exceptional time and project management skills.
  • Ability to work in a dynamic and fast-paced environment.
  • Persistent, questioning attitude and ability to accept that in others.
  • Motivated to expand skills and knowledge, as well as tackle new problem and take on new responsibilities.
  • Ability to participate in multiple projects and project teams concurrently.

MPR Associates, Inc. is an equal opportunity and affirmative action employer, who participates in E-Verify. All qualified applicants will receive consideration for employment without regard to race, color, national origin, sex, religion, age, disability, veteran's status, sexual orientation, gender identity, genetic information or any other classification as required by applicable laws. MPR is a certified Virginia Values Veterans (V3) employer.