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Dremio Jobs (NOW HIRING)

Sr Data Engineer

New York, NY · Hybrid

$125K - $150K/yr

Experience designing and building data pipelines on object storage-based platforms (e.g., S3, Wasabi, Dremio, Snowflake, Delta Lake) to process and manage large-scale analytical datasets * Solid ...

Data sources include a variety of formats including DB2, Oracle, SQL Server, MS Access, MS Excel, Hadoop, Dremio, Starburst as well as ASCII, EBDCIC, and CLI interfaces. The successful candidate must ...

Proficient with SQL, Excel, and Share Point, Jira, Confluence, Dremio, Beyond Compare, Visual Studio and familiarity with databases (DB2, Oracle, Sybase, SQL Server, MongoDB, PostgreSQL) and cloud ...

Data Engineer

Chicago, IL · On-site

$118K - $141K/yr

Responsibilities : • Architect, develop and deploy our Big Data environment (Kafka, Hadoop, Dremio, etc.) • Build, deploy, and monitor our data processing pipelines (Java, Python, Spark, Flink ...

Data Engineer

Malvern, PA · On-site

$112K - $134K/yr

Familiarity with lakehouse architectures (e.g., Dremio) and Workday (a plus). * Version control and project management tools: Jira, GitHub. * Ability to develop automation scripts for data workflows.

Architect Lead

Irvine, CA · On-site

$59.25 - $81.25/hr

  • Medical

  • Life

  • Retirement

You will be expected to possess hands-on expertise in modern cloud technologies, including but not limited to Databricks, Dremio, Snowflake, and tools for data governance, protection, and quality.

Architect Lead

Los Angeles, CA · On-site

$59.50 - $81.50/hr

  • Medical

  • Life

  • Retirement

You will be expected to possess hands-on expertise in modern cloud technologies, including but not limited to Databricks, Dremio, Snowflake, and tools for data governance, protection, and quality.

Data Engineer

Chicago, IL · On-site

$175K - $225K/yr

  • PTO

Architect, develop and deploy our Big Data environment (Kafka, Hadoop, Dremio, etc.) * Build, deploy, and monitor our data processing pipelines (Java, Python, Spark, Flink) * Collaborate with ...

Architect Lead

Irvine, CA · On-site

$59 - $80.75/hr

  • Medical

  • Life

  • Retirement

You will be expected to possess hands-on expertise in modern cloud technologies, including but not limited to Databricks, Dremio, Snowflake, and tools for data governance, protection, and quality.

Data Engineer

Sunnyvale, CA · On-site

$136K - $163K/yr

Hands on experience with Big-Data platforms like Spark, Dremio, Hadoop, MapReduce, Hive etc. Description: * You will architect, develop, and test large scale data solutions, to provide efficient ...

Data Engineer.

Sunnyvale, CA · On-site

$136K - $163K/yr

Hands on experience with Big-Data platforms like Spark, Dremio, Hadoop, MapReduce, Hive etc. * Experience with Java, Scala, and Python. * Experience with cloud computing platforms like AWS, and ...

Data Engineer

Malvern, PA · On-site

$112K - $134K/yr

Nice to have: DPX blueprint process, Dremio, Dell Boomi, Attunity Thanks & Regards Himanshu Sharma Recruitment Lead Email : Himanshu01@kanakits.com LinkedIn : Kanak IT is an equal opportunity ...

Data Engineer

Chicago, IL · On-site

$175K - $225K/yr

  • PTO

Architect, develop and deploy our Big Data environment (Kafka, Hadoop, Dremio, etc.) * Build, deploy, and monitor our data processing pipelines (Java, Python, Spark, Flink) * Collaborate with ...

AWS Python Lead Developer

Manhattan, NY · On-site +1

$154K - $189K/yr

Experience leveraging modern data and workflow tools such as Airflow, Kafka, Spark, DuckDB, DBT, Dremio, and Postgres Experience integrating advanced AI/ML solutions and frameworks, including OpenAI ...

Showing results 21-40

Dremio information

See salary details

$8

$26

$61

How much do dremio jobs pay per hour?

As of Aug 13, 2026, the average hourly pay for dremio in the United States is $26.34, according to ZipRecruiter salary data. Most workers in this role earn between $15.14 and $30.77 per hour, depending on experience, location, and employer.

What is Dremio?

Dremio is a data lake engine that allows organizations to query, analyze, and transform large datasets directly from data lakes, such as Amazon S3 or Hadoop, without the need to move or copy the data. A Dremio professional typically manages, configures, and optimizes the Dremio platform to ensure efficient data querying and integration with various data sources. They often work with data engineers, analysts, and business intelligence teams to provide fast, secure, and scalable access to big data for analytics and reporting purposes.

What are some common challenges faced by professionals working in Dremio engineering roles, and how can they be addressed?

Professionals in Dremio engineering roles often encounter challenges such as optimizing data query performance, integrating diverse data sources, and ensuring data security across complex environments. Addressing these requires a strong understanding of Dremio's architecture, experience with distributed systems, and collaboration with data engineering, DevOps, and security teams. Regularly tuning system configurations, staying updated with new Dremio features, and leveraging community forums or documentation can help professionals overcome these obstacles and contribute effectively to their teams.

What is the difference between Dremio vs Data Engineer?

AspectDremioData Engineer
Primary RoleData platform and data lake engine for data virtualization and analyticsDesigning, building, and maintaining data pipelines and infrastructure
Required SkillsSQL, data virtualization, data lake architecture, cloud platformsSQL, ETL, data modeling, programming (Python, Java), cloud services
Work EnvironmentData analytics teams, cloud environments, data platformsData engineering teams, cloud and on-premises infrastructure
CertificationsNone specific, familiarity with data platforms recommendedCertified Data Engineer, cloud certifications (AWS, GCP)

While Dremio focuses on data virtualization and enabling analytics through its platform, Data Engineers build and maintain the data pipelines and infrastructure that support such platforms. Both roles require SQL and cloud knowledge but serve different functions within data management and analytics ecosystems.

What are the key skills and qualifications needed to thrive as a Dremio data engineer?

To thrive as a Dremio Data Engineer, you need strong skills in SQL, big data technologies, data modeling, and typically a background in computer science or a related field. Familiarity with the Dremio platform, cloud data warehouses, Apache Arrow, and data integration tools is essential, along with relevant certifications. Excellent problem-solving, communication, and teamwork abilities distinguish top performers in this role. These skills are crucial for efficiently managing, optimizing, and delivering high-quality data solutions that support business intelligence and analytics.

Is Dremio a good company to work for?

Dremio is a technology company specializing in data analytics and data lake engines. Employees often cite a collaborative environment, opportunities to work with cloud-based tools, and a focus on innovation. As with any company, individual experiences may vary based on role and team dynamics.
More about Dremio jobs
What states have the most Dremio jobs? States with the most job openings for Dremio jobs include:
Infographic showing various Dremio job openings in the United States as of August 2026, with employment types broken down into 74% Full Time, and 26% Contract. Highlights an 81% Physical, 8% Hybrid, and 11% Remote job distribution, with an average salary of $54,791 per year, or $26.3 per hour.

SAS Admin - Charlotte, NC

Lorven Technologies

Charlotte, NC • On-site

Full-time

Posted 29 days ago


Job description

Hi,
Our client is looking for a SAS Admin in Charlotte, NC below is the detailed requirement.
Job Title: SAS Admin
Location: Charlotte, NC
Job Description:
8-12 Years Yrs of Exp
The Business Intelligence Competency Center (BICC) SAS Administration team is looking for a SAS Administrator familiar with a SAS Grid enabled EBI n-tiered architecture installed in a RHEL / IIS / Windows client/server environment.
SAS Viya 3.5 and SAS Viya 4 experience is a plus.
Candidate would maintain existing RHEL scripts and schedules and would be expected to develop new scripts, as required, to support additional needs and to provide SAS consulting assistance to approximately 8000 end users.
SAS Grid architecture and installation experience is required.
Support responsibilities include, but are not limited to problem determination, best practices, and coding techniques.
Data sources include a variety of formats including DB2, Oracle, SQL Server, MS Access, MS Excel, Hadoop, Dremio, Starburst as well as ASCII, EBDCIC, and CLI interfaces.
The successful candidate must work effectively across a wide range of end-user expertise and experience which will require patience and strong communication skills.
• SAS platform administration (SAS 9.x or Viya).
• Familiarity with UNIX/Linux command line and file systems.
• Strong attention to detail and willingness to learn.
• Good communication and ticket-handling skills.
• Ability to follow documented procedures and escalate appropriately.
• Exposure to SAS Grid, VA, or Viya environments.
• Experience with ITSM tools (e.g., ServiceNow, Jira).
• Basic scripting knowledge (Shell, Python, etc.)."

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About Lorven technologies

Sourced by ZipRecruiter

Lorven Technologies, headquartered in Plainsboro, New Jersey, United States, is a reputable company in the technology industry, specializing in providing effective IT solutions and consulting services. The company's official website, lorventech.com, offers comprehensive insights into its offerings which include but are not limited to software development, IT consulting, project management, and business analysis. Since its inception, Lorven Technologies has been committed to ensuring efficiency and reliability in delivering IT services to its global clientele, establishing itself as a trusted name in the industry.

Industry

It services

Company size

51 - 200 Employees

Headquarters location

Plainsboro, NJ, US

Year founded

2001

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