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Remote Data Engineer Jobs in Meridian, ID (NOW HIRING)

Remote 10+ years in AI/ML or Data Engineering (healthcare domain preferred) to design, benchmark, and optimize text embedding and vector search solutions for large-scale clinical data. This role ...

This position is fully remote, while occasional travel may be required. Primary Responsibilities ... You'll work closely with product, engineering, legal, sales and other market-facing teams. * Grow ...

The Design Engineer exercises discretion in selecting analytical methods, interpreting data, and ... This role is remote, with the expectation that candidates are located within a reasonable driving ...

Lead Electrical Engineer - Industrial

Meridian, ID · On-site +1

$150K - $157K/yr

Flexibility is available for a hybrid work environment or remote for the right candidate. In this ... Prepare data and visualizations such as tables, charts, accurate reports, sketches, calculations ...

Lead EPC Substation Project Engineer

Boise, ID · On-site +1

$93K - $119K/yr

This role has remote working capabilities, but candidates should be located in the Pacific ... Assure proper documentation of project technical data. * Ensure and facilitate project team ...

Senior Solutions Engineer (Hybrid)

Boise, ID · On-site +1

$52.50 - $67.75/hr

Conducts live and remote demonstrations and makes presentations to prospective customers clearly ... Collaborate on the build and deployment planning for ILA sites, backbone splicing, data center ...

Boise, ID (Remote) Duration: 12+ Months Contract We are looking for a highly skilled AI Solutions ... Strong understanding of data preparation, feature engineering, and model evaluation. * Experience ...

Structural Project Engineer

Boise, ID · On-site +1

$69K - $92K/yr

Our specialized experience includes design for data centers, healthcare, science and technology ... Remote Travel : Yes 10-15% Equal Opportunity Employment Statement Salas O'Brien provides equal ...

Lead Electrical Engineer

Boise, ID · On-site +1

$152K - $158K/yr

This position is expected to start remote with the expectation to work on a hybrid work schedule ... using data and modern tools such as automation and AI to improve workflows, reduce rework, and ...

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Remote Data Engineer information

See Meridian, ID salary details

$43.1K

$125.8K

$172.1K

How much do remote data engineer jobs pay per year?

As of Jul 29, 2026, the average yearly pay for remote data engineer in Meridian, ID is $125,750.00, according to ZipRecruiter salary data. Most workers in this role earn between $111,000.00 and $133,300.00 per year, depending on experience, location, and employer.

What Does a Remote Data Engineer Do?

As a remote data engineer, you focus on collecting, storing, and organizing large amounts of information. You work from home to design, develop, and maintain systems for the mining, warehousing, and processing of data. A data engineer communicates with employers, clients, or other data professionals to assess the needs of the project and develop and implement solutions to meet those needs. Data engineers also take steps to manage current database architecture and make updates when needed. Remote engineers typically handle their responsibilities in a cloud-based environment using “big data” tools, such as Amazon Web Services (AWS) and SQL.

What is the difference between Remote Data Engineer vs Remote Data Analyst?

AspectRemote Data EngineerRemote Data Analyst
Required CredentialsBachelor's in CS, Data Science, or related; SQL, Python, cloud certificationsBachelor's in Statistics, Data Science, or related; SQL, Excel, visualization tools
Work EnvironmentCollaborates with data engineering teams, cloud platforms, big data toolsWorks with business teams, dashboards, reporting tools
Industry UsageTech, finance, healthcare, e-commerceMarketing, finance, retail, healthcare
Common Search IntentBuilding data pipelines, data infrastructureData reporting, insights, visualization

Remote Data Engineers focus on designing and maintaining data pipelines and infrastructure, often requiring programming and cloud skills. Remote Data Analysts interpret data, create reports, and provide insights using visualization tools. While both roles work with data, their responsibilities and skill sets differ, making each suited for different career paths within data teams.

How do remote Data Engineers typically collaborate with other team members across different time zones?

Remote Data Engineers often work with cross-functional teams, including data scientists, analysts, and software engineers, many of whom may be located in different parts of the world. Collaboration is usually facilitated through project management tools, version control platforms, and regular virtual meetings. It’s common to have a mix of synchronous check-ins and asynchronous communication, allowing for flexible scheduling and efficient handoffs. Strong written communication skills and proactive status updates are essential for staying aligned with team objectives and project deadlines.

What is a Remote Data Engineer?

A Remote Data Engineer is a professional who designs, builds, and maintains data pipelines, databases, and data processing systems while working from a location outside of a traditional office. They collaborate with data scientists, analysts, and other stakeholders to ensure data is collected, stored, and made accessible efficiently and securely. Remote Data Engineers use programming languages like Python or Scala, work with technologies such as SQL, Hadoop, or cloud platforms, and address challenges related to data quality and scalability. Their remote role allows them to work for companies regardless of geographic location, often relying on virtual collaboration tools to stay connected with their teams.

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

To thrive as a Remote Data Engineer, you need strong programming skills in languages like Python or Scala, expertise in SQL, data modeling, and a background in computer science or a related field. Familiarity with cloud platforms (such as AWS, Azure, or GCP), big data tools (like Hadoop and Spark), and certifications in cloud or data engineering are highly valued. Excellent problem-solving, communication, and self-management skills help remote data engineers collaborate effectively and stay productive in a distributed environment. These competencies ensure reliable data pipelines, scalable solutions, and seamless teamwork, which are critical for organizational success in data-driven projects.
What are the most commonly searched types of Data Engineer jobs in Meridian, ID? The most popular types of Data Engineer jobs in Meridian, ID are:
What are popular job titles related to Remote Data Engineer jobs in Meridian, ID? For Remote Data Engineer jobs in Meridian, ID, the most frequently searched job titles are:
What job categories do people searching Remote Data Engineer jobs in Meridian, ID look for? The top searched job categories for Remote Data Engineer jobs in Meridian, ID are:
What cities near Meridian, ID are hiring for Remote Data Engineer jobs? Cities near Meridian, ID with the most Remote Data Engineer job openings:
Infographic showing various Remote Data Engineer job openings in Meridian, ID as of July 2026, with employment types broken down into 1% As Needed, 83% Full Time, 12% Part Time, 1% Temporary, and 3% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $125,750 per year, or $60.5 per hour.

Senior AI/ML Engineer

H R PUNDITS INC

Boise, ID • Remote

$130K/yr

Full-time

Posted 23 days ago


Job description

Role: Senior AI/ML Engineer (Vector Store & Retrieval Systems)
Location: Remote
10+ years in AI/ML or Data Engineering (healthcare domain preferred) to design, benchmark, and optimize text embedding and vector search solutions for large-scale clinical data. This role focuses on building high-performance pipelines and evaluating AI models to support intelligent search across patient records.
Key Responsibilities:
  • Develop and benchmark text chunking and embedding strategies
  • Evaluate embedding models (OpenAI, Cohere, SBERT, etc.)
  • Design and optimize vector search systems
  • Build scalable pipelines for large datasets (up to billions of documents)
  • Measure performance across cost, speed, scalability, and accuracy
  • Support near real-time indexing and high query workloads
  • Ensure compliance with PHI/HIPAA and enterprise security standards
 
Required Skills:
  • Strong experience in AI/ML and NLP (embeddings, transformers)
  • Hands-on with LLMs, RAG, and vector databases
  • Proficiency in Python and data frameworks (Spark/Databricks)
  • Experience with cloud platforms (Azure/AWS/GCP)
  • Knowledge of distributed systems and high-throughput pipelines
Understanding of healthcare data and PHI compliance 

This is a remote position.