2

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

Senior Data Engineer

Boise, ID · On-site +1

$100K - $137K/yr

About the job Senior Data Engineer Design and develop data and integration solutions that elevates ... Fully remote opportunities available for the right candidate * Moving allowance available for the ...

Lead Data Engineer - Primary Care

Boise, ID · Remote

$97K - $128K/yr

Become a part of our caring community The Lead Data Engineer oversees data processing architectures ... Travel: While this is a remote position, occasional travel to Humana's offices for training or ...

Snowflake Engineer II or III

Meridian, ID · On-site +1

$111K - $133K/yr

Implement data pipelines using Snowflake features like Snowpipe, Streams, and Tasks, along with ... fully remote within a mutually acceptable location. #LI-Hybrid Education: Bachelor's degree in ...

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 ...

Senior AI/ML Engineer

Boise, ID · On-site +1

$99K - $136K/yr

Remote/Hybrid: This role is based remotely but if you live within a 50-mile radius of Sunnyvale, CA ... The Data Labeling Engineering team designs, builds, and operates hybrid human/machine data labeling ...

DevOps Engineer

Meridian, ID · Remote

$40 - $75/hr

... data analysis and visualization. Your work directly contributes to refining intelligent systems ... Benefits: * This is a full-time or part-time REMOTE position * You'll be able to choose which ...

DevOps Engineer

Nampa, ID · Remote

$40 - $75/hr

... data analysis and visualization. Your work directly contributes to refining intelligent systems ... Benefits: * This is a full-time or part-time REMOTE position * You'll be able to choose which ...

next page

Showing results 1-20

Remote Data Engineer information

See Meridian, ID salary details

$42K

$122.3K

$167.4K

How much do remote data engineer jobs pay per year?

As of Jun 9, 2026, the average yearly pay for remote data engineer in Meridian, ID is $122,319.00, according to ZipRecruiter salary data. Most workers in this role earn between $108,000.00 and $129,700.00 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 May 2026, with employment types broken down into 81% Full Time, 9% Part Time, and 10% Contract. Highlights an 100% Remote job distribution, with an average salary of $122,319 per year, or $58.8 per hour.

Senior Data Engineer

VS Tech Solutions

Boise, ID • On-site, Remote

$100K - $137K/yr

Other

Medical, Dental, Vision, Retirement

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


Job description

About the job Senior Data Engineer
Design and develop data and integration solutions that elevates enterprise systems efficiency, performance, and value. You will join a team of high-achieving technical consulting professionals and help provide solutions to our clients most challenging enterprise IT problems.
As a key part of our team, you will recognize, subscribe, and apply best practices, methodologies, tools, and techniques to meet client requirements, timelines, and budgets. You will work closely with the client to understand both their business processes and analytics needs to design and build data pipelines and cloud data solutions. You will have the opportunity to guide best practices in data warehousing, data processing, and data management design. At Resource Data we strive for a long-term, stable workforce, and offer our employees competitive salary and benefits with flexibility to suit their individual needs. Come join our team!
Job Responsibilities

  • Create and maintain optimal data pipeline architectures
  • Create data integrations between source and destination systems
  • Conduct complex data analysis and report on results
  • Prepare data for prescriptive and predictive modeling
  • Assemble large, complex data sets that meet functional / non-functional business requirements
  • Design and build effective and scalable Business Intelligence solutions including Operational Reports, Data Visualizations, Dashboards, Reporting Data Marts and ETL/Data Integration solutions
  • Determine transformation requirements and develop processes to bring structured and unstructured data from the source to a new physical Data Model
  • Identify, design, and implement process improvements for our clients: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.
  • Build the infrastructure required for optimal extraction, transformation, and loading (ETL) of data from a wide variety of data sources using SQL, Azure, and AWS technologies
  • Build analytics tools that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency, and other key business performance metrics
  • Work with clients and project teams to assist with data-related technical issues and support their data infrastructure needs
Required Skills & Experience
  • Experience with data management experience, development, and maintenance in a Cloud environment
  • Experience in data modeling, data analysis, and relational database design
  • Experience building and optimizing data pipelines, architectures, and datasets
  • Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement
  • Experience manipulating, processing, and extracting value from large, disconnected datasets
  • Experience with data warehousing and multidimensional data models
  • Experience with data migration projects
  • Experience with ETL development
  • Experience with AWS and Azure
  • Experience with designing high-performing reporting/analytical schemas
  • Experience in data structures, algorithms, and strong programming skills in Python, R or Java
  • Experience working with large enterprise clients and systems
Desirable Skills
  • Prior experience in consulting or analytics project delivery through the entire software lifecycle: Requirements, Design, Development, Testing, Deployment
  • Experience with Distributed data/computing tools (MapReduce, Hadoop, Hive, EMR, Kafka, or Spark)
  • Experience working on real-time data and streaming applications
  • Working knowledge of message queuing, stream processing, and highly scalable big data data stores
  • Experience with online Data Warehouses (Snowflake, Redshift, etc.)
  • Experience with Machine Learning, AI, or Predictive Analytics
  • Experience with unstructured datasets
  • Experience with C#, Java, Python, and R
Resource Data Environment
  • Comprehensive Healthcare: Medical, Dental and Vision
  • Healthy work-life balance with full flex schedules
  • 401(k) with company match
  • Fully remote opportunities available for the right candidate
  • Moving allowance available for the right candidate
  • Progressive roles and projects that encourage ownership and leadership
  • Opportunities to learn and gain experience in complimentary areas such as Project management, Business Analysis, Software Development, etc.
  • Training and certification opportunities to support your career