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Data Engineer Grafana Remote Jobs (NOW HIRING)

Corporate Tools

Senior Data Engineer

Post Falls, ID · On-site +1

$150K/yr

This is a remote position, but if you're near one of our local offices, you're welcome to come ... Experience with Grafana or other monitoring/charting systems. * Proven knowledge of data platforms ...

Navtech, Inc.

URGENT NEED - Data Engineer ___ REMOTE

$117K - $140K/yr

I have an opportunity for " Data Engineer ___ REMOTE" and I am looking for a candidate who can join Immediately if you are interested, reply to me with your updated resume or if you could refer ...

NAVA Software Solutions

Data Engineer - Remote

Manhattan, NY · On-site +1

$126K - $151K/yr

Data Engineer Location: Remote Project Duration: 6-12 months Responsibilities: * Analysis, design, coding, performance tuning, and implementation of new data warehousing solutions. * Evaluation ...

Sentara Healthcare

Data Engineer - Remote

Virginia Beach, VA · On-site +1

$108K - $130K/yr

Sentara is hiring a Data Engineer! This is a fully remote position. Work Location: Remote opportunities available in the following states: Alabama, Delaware, Florida, Georgia, Idaho, Indiana, Kansas ...

D&G Support Services, LLC

Data Engineer

$105K - $120K/yr

Data Engineer Remote/ Occasional Onsite in DC area | NCR Support as Required | Secret with TS Eligible If you want to apply enterprise data engineering expertise to support a varied portfolio of ...

Changeis

Data Engineer

$117K - $140K/yr

Most of our positions are remote, providing flexibility while working on impactful federal projects. Key Skills amp; Qualifications We're Looking For: * Data Engineering amp; ETL: Experience ...

Apex Informatics

DATA ENGINEER

$117K - $140K/yr

Remote Duration: 06 Months (C2H Role) Main Skills: Data Engineer/ Python/Pyspark/ SQL/ ETL/ DBT (Data Build Type)/ AWS Position Summary: The Senior Data Engineer leads complex data engineering ...

E-Solutions

Data Engineer

$117K - $140K/yr

Data Engineer Location: Cincinnati, USA Onsite/Remote: 100% Remote Key Responsibilities * Provide Technical Leadership: Offer technical leadership to ensure clarity between ongoing projects and ...

NTT DATA Services

Data Engineer - Hybrid

Irving, TX · On-site +1

$75K - $130K/yr

Data Engineer We are looking for a Data Engineer who is passionate about building scalable data ... The starting pay range for this remote role is $75,168-$130,500. This range reflects the minimum ...

Conflux Systems

Data Engineer

$33/hr

Information Technology - Data Engineer Location ... REMOTE Pay Rate: $33/hr. Duration: 04 Months These are the skills required: • Expert in Azure ...

Apex Informatics

Data Engineer

$117K - $140K/yr

Remote Duration: 06 Months (C2H Role) Main Skills: Data Engineer/ Python/Pyspark/ SQL/ ETL/ DBT (Data Build Type)/ AWS Position Summary: The Senior Data Engineer leads complex data engineering ...

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All JobsData Engineer Grafana JobsData Engineer Grafana Remote Jobs

Data Engineer Grafana Remote information

See salary details

$44.5K

$129.7K

$177.5K

How much do data engineer grafana remote jobs pay per year?

As of Jun 24, 2026, the average yearly pay for data engineer grafana remote 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 does a Data Engineer working with Grafana do, especially in a remote role?

A Data Engineer specializing in Grafana, particularly in a remote position, is responsible for designing, building, and maintaining data pipelines that collect and process large volumes of data for visualization and monitoring. They work with Grafana to create dashboards and alerts that help teams monitor system health and business metrics in real time. This role often involves integrating various data sources, ensuring data quality, optimizing queries, and collaborating with developers and stakeholders to deliver actionable insights. Remote Data Engineers leverage collaboration tools to stay connected with their teams and ensure that systems are reliable and scalable.

How does a Data Engineer working remotely with Grafana typically collaborate with cross-functional teams?

As a remote Data Engineer specializing in Grafana, collaboration often involves daily stand-ups, regular check-ins, and asynchronous communication with data analysts, DevOps engineers, and software developers. You'll work closely with stakeholders to understand data visualization needs, design efficient data pipelines, and ensure seamless integration with Grafana dashboards. Tools like Slack, Jira, and video conferencing platforms are commonly used to maintain effective teamwork and transparency despite the remote setting. Being proactive in communication and documentation is key to successful collaboration in this role.

What are the key skills and qualifications needed to thrive as a Data Engineer specializing in Grafana in a remote role, and why are they important?

To thrive as a Data Engineer specializing in Grafana remotely, you need strong skills in data modeling, ETL processes, SQL, and a background in computer science or a related field. Experience with Grafana, time-series databases (such as Prometheus or InfluxDB), cloud platforms (like AWS or GCP), and relevant certifications are highly valued. Excellent communication, self-motivation, and teamwork are crucial soft skills for collaborating across distributed teams. These competencies ensure efficient data pipeline development, insightful dashboarding, and effective remote collaboration to drive data-driven decisions.
Infographic showing various Data Engineer Grafana Remote job openings in the United States as of June 2026, with employment types broken down into 91% Full Time, 6% Part Time, 1% Temporary, and 2% Contract. Highlights an 82% Physical, 5% Hybrid, and 13% Remote job distribution, with an average salary of $129,716 per year, or $62.4 per hour.
Senior Data Engineer

Senior Data Engineer

Corporate Tools

Post Falls, ID • On-site, Remote

$150K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 14 days ago

Job description

Overview:
Corporate Tools is hiring a Senior Data Engineer for up to $150,000/year. You will be a traditional company employee. This is a remote position, but if you're near one of our local offices, you're welcome to come hangout with us in-office as well. Our main offices are in Post Falls, ID, and Spokane, WA; we also have satellite offices in Austin, TX, and Salt Lake City, UT. You'll be working 40 hours a week and, of course, enjoy great company benefits.
As a Senior Data Engineer at Corporate Tools, you will work closely with our Software and Analyst teams to manage everything that has to do with data. This role will help get large datasets into the hands of people that need it while also making sure it doesn't adversely impact other things we have going on in our software ecosystem. There will be a heavy focus on infrastructure, data pipelines and scalable database design - we want someone who can help us improve our current databases and infrastructure and maintain it in a cost-effective manner. This is more than just building and maintaining ETL pipelines. We need innovation, creativity, and solutions that will have a significant impact on how our data is handled and created.
Wage:
$150,000/year
Benefits:
  • 100% employer-paid medical, dental and vision for employees
  • Annual review with raise option
  • 22 days Paid Time Off accrued annually, and 4 holidays
    • After 3 years, PTO increases to 29 days. Employees transition to flexible time off after 5 years with the company-not accrued, not capped, take time off when you want
    • The 4 holidays are: New Year's Day, Fourth of July, Thanksgiving, and Christmas Day
  • Paid Parental Leave
  • Up to 6% company matching 401(k) with no vesting period
  • Quarterly allowance
    • Use to make your remote work set up more comfortable, for continuing education classes, a plant for your desk, coffee for your coworker, a massage for yourself... really, whatever
  • Open concept office with friendly coworkers
  • Creative environment where you can make a difference
  • No dumb benefits like free dog walking on the weekends that snobby hipster places have to make you feel cool, but mathematically won't cost the company much money because you won't use it
  • Trail Mix Bar oh yeah

Responsibilities:
  • Focus on data infrastructure. Lead and build out data services/platforms from scratch (using OpenSource tech).
  • Creating and maintaining transparent, bulletproof ETL (extract, transform, and load) pipelines that cleans, transforms, and aggregates unorganized and messy data into databases or data sources.
  • Consume data from roughly 40 different sources
  • Collaborate closely with our Data Analysts to get them the data they need.
  • Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.
  • Improve existing data models while implementing new business capabilities and integration points.
  • Creating proactive monitoring so we learn about data breakages or inconsistencies right away.
  • Maintaining internal documentation of how the data is housed and transformed.
  • Improve existing data models, and design new ones to meet the needs of data consumers across Corporate Tools.
  • Stay current with latest cloud technologies, patterns, and methodologies; share knowledge by clearly articulating results and ideas to fellow engineers, data analysts, and stakeholders.

Requirements:
  • Bachelor's (BA or BS) in computer science, or related field.
  • 2+ years in a full stack development role
  • 4+ years of experience working in a data engineer role, or related position.
  • 2+ years of experience standing up and maintaining a Redshift warehouse
  • 4+ years of experience with Postgres, specifically with RDS.
  • 4+ years of AWS experience, specifically S3, Glue, IAM, EC2, DDB, and other related data solutions.
  • Experience working with Redshift, DBT, Snowflake, Apache Airflow, Azure Data Warehouse, or other industry standard big data or ETL related technologies.
  • Experience working with both analytical and transactional databases.
  • Advanced working SQL (Preferably PostgreSQL) knowledge and experience working with relational databases.
  • Experience with Grafana or other monitoring/charting systems.
  • Proven knowledge of data platforms and tangible examples of designing and developing complex data pipelines to support better decision making in the business.
  • Experience hosting and operating data platforms in cost efficient manner.
  • Ability to translate business requirements into non-technical, lay terms.
  • Proven expertise with data architecture design and deployment, data modeling, and database development.

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