ZipRecruiter

Log In

2

Remote Data Engineer Jobs in Hurricane, WV (NOW HIRING)

Gopuff

Data Engineer

Charleston, WV · Remote

$118K - $148K/yr

As a Data Engineer, you will play a critical role in shaping Gopuff's modern data platform. You'll ... Remote Base Salary Range : $118,000 - $148,000 Benefits Overview * Medical/Dental/Vision Insurance ...

Bellese

Engineer II, Data

Charleston, WV · Remote

$108K - $125K/yr

These are 100% Remote positions. Please note this position requires a public trust background check ... Related experience in analytic programming, data extraction, querying databases/data warehouses and ...

Lyra Health

Sr. Data Engineer

Charleston, WV · Remote

$128K - $176K/yr

We are looking for an exceptional Sr. Data Engineer to join our team and help shape the future of mental health care. We care deeply about making a difference in people's lives, and we hope that you ...

SQUIRE

Director, Data Engineering

Charleston, WV · Remote

$200K - $230K/yr

We're hiring a Director, Data Engineering to build and lead our Data organization through a player ... Remote - US or Canada Type : Full-Time Compensation : Base ($200,000 - $230,000) + Bonus (15 ...

Virtuous

Lead Data Platform Engineer

Charleston, WV · Remote

$117K - $140K/yr

We're hiring a Lead Data Platform Engineer to design, build, and own the systems that power our data ecosystem. This role is ideal for a highly motivated self-starter who is comfortable with ...

RYZ Labs

Data Center Network Engineer

Charleston, WV · Remote

RYZ Labs is hiring for a Data Center Network Engineer to design, implement, and operate high ... Our teams are remote and distributed throughout the US and Latam. They use the latest cutting-edge ...

Mars Men

VP, Analytics & Data

Charleston, WV · Remote

$141K - $181K/yr

... data engineering, including experience leading a data or analytics function * Proven success ... Remote Work Environment - Our team is remote, offering full flexibility to work from home

next page

Showing results 1-20

All JobsData Engineer JobsRemote Data Engineer JobsRemote Data Engineer Jobs in Hurricane, WV

Remote Data Engineer information

See Hurricane, WV salary details

$36.7K

$107K

$146.5K

How much do remote data engineer jobs pay per year?

As of Aug 7, 2026, the average yearly pay for remote data engineer in Hurricane, WV is $107,036.00, according to ZipRecruiter salary data. Most workers in this role earn between $94,500.00 and $113,500.00 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.
More about Remote Data Engineer jobs
What are the most commonly searched types of Data Engineer jobs in Hurricane, WV? The most popular types of Data Engineer jobs in Hurricane, WV are:
What are popular job titles related to Remote Data Engineer jobs in Hurricane, WV? For Remote Data Engineer jobs in Hurricane, WV, the most frequently searched job titles are:
What job categories do people searching Remote Data Engineer jobs in Hurricane, WV look for? The top searched job categories for Remote Data Engineer jobs in Hurricane, WV are:
What cities near Hurricane, WV are hiring for Remote Data Engineer jobs? Cities near Hurricane, WV with the most Remote Data Engineer job openings:
Remote Data Engineer jobs near you

Data Engineer

Gopuff

Charleston, WV • Remote

$118K - $148K/yr

Full-time

Re-posted 20 days ago

Gopuff rating

4.6

Company rating: 4.6 out of 10

Based on 52 frontline employees who took The Breakroom Quiz

23rd of 24 rated food delivery companies

Job description

At Gopuff, data sits at the heart of our strategy. We are reimagining how people purchase everyday essentials, from snacks to household goods to alcohol, all delivered in minutes. To fuel this mission, we are seeking a Data Engineer to design, build, and scale the data systems that power insights, experimentation, and operational excellence across the company.
 
As a Data Engineer, you will play a critical role in shaping Gopuff’s modern data platform. You’ll architect reliable pipelines, create insights ready data products, and collaborate closely with analytics, product, and engineering teams to ensure data is trustworthy, discoverable, and ready for action. This is a highly technical, hands-on role for an engineer who wants to solve complex data problems at scale and directly influence business outcomes.
Responsibilities
  • Design, build, and maintain scalable batch and real-time data pipelines that power analytics, experimentation, and machine learning
  • Contribute to the architecture and maintenance of the Data Platform, ensuring systems are performant, cost-efficient and scalable
  • Partner cross-functionally with analytics, product, engineering and operations to deliver high-quality data solutions that drive measurable business impact
  • Develop and maintain curated, well-modeled datasets that serve as trusted sources of truth across the organization
  • Champion data quality, reliability, and observability by implementing best practices in testing, monitoring, lineage, and incident response
  • Contribute to team standards, patterns, and best practices
  • Drive improvements to infrastructure, developer workflows, CI/CD, and data platform tooling
Preferred Qualifications
  • 3-5 years of experience in data engineering or software engineering with a strong focus on data platform development
  • Proven experience building and scaling modern data platforms and delivering high-impact data solutions
  • Strong communication skills and the ability to work closely with technical and non-technical partners
  • Passion for building reliable, accessible, and high-quality data products
Technical Expertise
  • Strong proficiency in Python and SQL
  • Experience with modern cloud data warehouses and lakes (e.g., Snowflake, BigQuery, Databricks)
  • Experience building batch pipelines using DAG-based orchestrators (e.g., Dagster, Airflow)
  • Experience with event-driven architectures using Kafka, Kinesis, or Event Hubs
  • Experience developing real-time or streaming pipelines using Apache Beam, Flink, or Spark Streaming
  • Experience deploying applications and services to Kubernetes and using tools such as ArgoCD, Helm or Istio
  • Experience implementing DevOps concepts within data workflows (CI/CD, observability, monitoring, lineage)
  • Experience with Infrastructure-as-Code (e.g., Terraform)
Compensation
  • Gopuff pays employees based on market pricing and pay may vary depending on your location. The salary range below reflects what we’d reasonably expect to pay candidates. A candidate’s starting pay will be determined based on job-related skills, experience, qualifications, interview performance, and market conditions. These ranges may be modified in the future. Exceptions may be made for exceptional individuals. For additional information on this role’s compensation package, please reach out to the designated recruiter for this role.
  • This role is eligible for a discretionary annual cash bonus and participation in Gopuff’s equity incentive plan.
  • Remote Base Salary Range: $118,000 - $148,000
Benefits Overview
  • Medical/Dental/Vision Insurance 
  • 401(k) Retirement Savings Plan
  • HSA or FSA eligibility
  • Long and Short-Term Disability Insurance
  • Mental Health Benefits
  • Fitness Reimbursement Program
  • 25% employee discount & FAM Membership
  • Flexible PTO
  • Group Life Insurance
  • EAP through AllOne Health (formerly Carebridge)
The only predictable thing about life is that it’s wildly unpredictable. That’s where we come in. When life does what it does best, customers turn to Gopuff to deliver their everyday essentials, and to get through their day & night, work day and weekend. We’re assembling a team of thinkers, dreamers & risk-takers...the kind of people who know the value of peace of mind in an unpredictable world. (And people who love snacks.)
 
Like what you’re hearing? Welcome to Gopuff.
 
#LI-GOPUFF
 
The Gopuff Fam is committed to an inclusive workplace where we do not discriminate on the basis of race, sex, gender, national origin, religion, sexual orientation, gender identity, marital or familial status, age, ancestry, disability, genetic information, or any other characteristic protected by applicable laws. We believe in diversity and encourage any qualified individual to apply. We are an equal employment opportunity employer.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

What Gopuff employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

GoPuff logo

About GoPuff

Sourced by ZipRecruiter

Customers turn to Gopuff to provide their everyday essentials-day and night, rain or shine. We're assembling a team of thinkers, dreamers and risk takers who are ready to help us reshape the world of retail faster than ever before. And it doesn't hurt if you like snacks.

Industry

Retail

Company size

5,001 - 10,000 Employees

Headquarters location

Philadelphia, PA, US

Year founded

2013

View All GoPuff Jobs