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Hive Modern Jobs (NOW HIRING)

Flywheel Digital

Senior Data Engineer

Jersey City, NJ

$110K - $150K/yr

Experience with Hadoop, Hive, Spark, or other data processing tools. * Experience in any of the modern data stack technologies like dbt , airbyte is desired. * Experience building scalable data ...

Flywheel

Senior Data Engineer

Jersey City, NJ · On-site

$116K - $157K/yr

... Hive, Spark, or other data processing tools. • Experience in any of the modern data stack technologies like dbt, airbyte is desired. • Experience building scalable data pipelines (Airflow ...

Purple Drive Technologies

Data Engineer

Bentonville, AR · On-site

$100K - $120K/yr

You'll be working with modern big data technologies, cloud platforms, and stream-processing systems ... Work with big data technologies including Hadoop, Hive, and Spark (Scala-based) * Implement and ...

Flywheel Digital

Senior Data Engineer

New York, NY

$116K - $157K/yr

Experience with Hadoop, Hive, Spark, or other data processing tools. * Experience in any of the modern data stack technologies like dbt , airbyte is desired. * Experience building scalable data ...

4pconsultinginc

Data Engineer III

Birmingham, AL · On-site

$107K - $128K/yr

... modern data engineering best practices. Key Responsibilities Data Engineering & Pipeline ... Develop solutions using Spark, Hive, Hadoop * Build and maintain solutions using Azure ecosystem ...

Amazon

Data Engineer, Workforce Solutions

Bellevue, WA · On-site

$129K - $155K/yr

... modern technologies to solve complex human problems at scale while delivering intuitive ... Hadoop, Hive, Spark, EMR - Experience with non-relational databases / data stores (object storage ...

Lorven Technologies

Jr Data Engineer

$117K - $140K/yr

... o Hive o Presto/Trino o Spark • Deep, hands-on experience with at least one modern big data processing framework (e.g., Spark, Dataflow) Nice to Have • Knowledge of cloud platforms, such as: o ...

Sovrn

Full-Stack Staff Engineer

Denver, CO · On-site

You'll also have the opportunity to work with Hive, Hadoop, and Java. Additionally, you will be ... Interact with modern database technologies * Address the challenge of delivering products in a SASS ...

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How much do hive modern jobs pay per hour?

As of Jun 5, 2026, the average hourly pay for hive modern in the United States is $16.34, according to ZipRecruiter salary data. Most workers in this role earn between $10.58 and $18.27 per hour, depending on experience, location, and employer.

What is the difference between Hive Modern vs Data Warehouse Developer?

AspectHive ModernData Warehouse Developer
Required CredentialsProficiency in Hive, SQL, data modelingSQL, data modeling, sometimes Hive knowledge
Work EnvironmentBig data platforms, cloud environmentsTraditional data warehouses, on-premises or cloud
Industry UsageBig data, analytics, data engineeringBusiness intelligence, reporting, analytics
Common Search IntentHive Modern vs Data Warehouse Developer

Hive Modern and Data Warehouse Developers both work with data, but Hive Modern specializes in big data platforms using Hive and SQL for large-scale data processing. Data Warehouse Developers focus on designing and maintaining traditional data warehouses, often using SQL and data modeling. While there is overlap, Hive Modern roles are more aligned with big data environments, whereas Data Warehouse Developers work with structured data in enterprise warehouses.

Infographic showing various Hive Modern job openings in the United States as of May 2026, with employment types broken down into 5% Locum Tenens, 2% Internship, 14% Full Time, 5% Temporary, 72% Contract, and 2% Nights. Highlights an 90% Physical, 3% Hybrid, and 7% Remote job distribution, with an average salary of $33,988 per year, or $16.3 per hour.
Senior Data Engineer

Senior Data Engineer

Flywheel Digital

Jersey City, NJ

$110K - $150K/yr

Other

Posted 28 days ago

Job description

Opportunity 
Omni Platform Group (OPG) is currently seeking a senior data engineer to join our technology team. In this role you will build Omni products which sit atop cloud-based data infrastructure. We are looking for people who have a shared passion for technology, design & development, data, and fusing these disciplines together to build cool things. In this role, you will work on one or more software and data products in the Omni Engineering Team. You will participate in technical architecture, design and development of software products as well as research and evaluation of new technical solutions.
What you'll do:
  • Steward data and compute environments to facilitate usage of data assets.
  • Design, build, test and deploy scalable and reusable systems that handle large amounts of data.
  • Lead and mentor a small team of developers.
  • Perform code reviews and provide leadership and guidance to junior developers.
  • Learn and teach new technologies to the team.
Who you are:
  • Experience designing and managing data flows.
  • Experience designing systems and APIs to integrate data into applications.
  • 8+ years of Linux, Bash, Python, and SQL experience.
  • 4+ years using Spark and other Hadoop ecosystem software.
  • 4+ years using AWS cloud services, esp. EMR, Glue, Athena, and Redshift.
  • Passion for Technology: Excitement for new technology, bleeding edge applications, and a positive attitude towards solving real world challenges.
Additional Skills:
  • BS, MS or PhD in Computer Science, Engineering, or equivalent real-world experience (You've learned something to be able to claim you are an engineer).
  • Significant experience with Python, C++, or other popular language.
  • Experience with big data and/or infrastructure. Bonus for having experience in setting up Petabytes of data so they can be easily accessed. Understanding of data organization, i.e., partitioning, clustering, file sizes, file formats. Data cataloging with Hive/Hive metastore or Glue or something similar.
  • Experience working with relational databases.
  • Experience with Hadoop, Hive, Spark, or other data processing tools.
  • Experience in any of the modern data stack technologies like dbt, airbyte is desired.
  • Experience building scalable data pipelines (Airflow experience a plus).
  • Significant experience working with AWS and/or GCP.
  • Proven ability to independently execute projects from concept to implementation to launch and to maintain a live product.

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