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Apache Hive

Data Science, Analytics and AI/ML

Apache Hive is a data warehouse system built on top of Hadoop that lets users query and manage large datasets stored in distributed storage using HiveQL, a SQL-like language. It translates queries into MapReduce, Tez, or Spark jobs, making big data accessible to analysts and engineers more comfortable with SQL than writing raw distributed code. It's widely used for batch reporting, ETL, and data warehousing on large-scale data platforms.

Apache Hive in the job market

Last checked October 28, 2026

Open roles
14

on Career App

Employers
5

hiring for it

Median pay
—

not enough disclosed

Disclose pay
—

of these roles

Open roles requiring Apache Hive (14)

Intuit

Senior Fraud and Risk Analyst - Fintech

Intuit

Mountain View, CA · $150,500 – $204,000

This role leads fraud risk policy development for Intuit's fintech money movement platform, requiring deep expertise in fraud detection, risk strategy, and cross-functional collaboration. It suits experienced fraud analysts or risk professionals with a quantitative background who want to shape enterprise-scale fraud prevention strategy in a fast-growing financial services environment.

Listed on Intuit’s careers site · Apply there ↗

Senior Data Scientist, Ads

Reddit

Full-time · Remote - United States · $190,800 – $267,100

Reddit is seeking a senior data scientist to build machine learning models and statistical analyses that improve their advertising platform and help advertisers succeed. This role suits experienced practitioners who want to work on large-scale data problems in ad tech while mentoring junior team members.

Listed on Reddit’s careers site · Apply there ↗

Visa Inc.

Lead Data Scientist

Visa Inc.

Full-time · Bellevue, WA · $180,000 – $288,000

Visa seeks a Lead Data Scientist to drive AI and machine learning initiatives across their payments platform, mentoring teams and designing data strategies at scale. This role suits experienced practitioners who thrive on complex technical challenges, can navigate both business and technical requirements, and want to shape the future of payment technologies.

Listed on Visa Inc.’s careers site · Apply there ↗

Target

Sr Data Scientist - Supply Chain Optimization (Middle Mile)

Target

Full-time · $98,000 – $211,000

Target is seeking a senior data scientist to develop and deploy optimization and machine learning algorithms that improve supply chain decisions across inventory, transportation, and distribution. This role suits experienced practitioners with strong quantitative backgrounds who want to apply advanced analytics to large-scale operational problems.

Listed on Target’s careers site · Apply there ↗

Sr. Manager, Engineering - Data Infrastructure & MLOps (Hybrid)

CrowdStrike

Full-time · $160,000 – $250,000

CrowdStrike is hiring a senior engineering manager to oversee 2-3 teams building and scaling massive data infrastructure handling trillions of events daily. This role suits experienced engineering leaders with deep expertise in distributed systems, Spark/Flink platforms, and the ability to hire and mentor top-tier talent across global teams.

Listed on CrowdStrike’s careers site · Apply there ↗

Intuit

Senior Staff Fraud & Risk Analyst

Intuit

Mountain View, CA · $199,500 – $270,000

This role leads fraud prevention strategy across Intuit's lending products, designing detection systems and policies to identify and stop sophisticated fraud schemes while balancing risk with customer experience. It suits someone with deep quantitative expertise in fraud analytics or credit risk who has built detection systems at fintech companies and can translate complex technical work into decisions for senior leadership.

Listed on Intuit’s careers site · Apply there ↗

Visa Inc.

Senior Manager, Data Science

Visa Inc.

Full-time · US - Foster City, CA · $180,600 – $289,300

Lead a data science team at Visa building machine learning and AI products for dispute resolution and post-purchase payments. This role suits experienced managers comfortable with both hands-on technical leadership and cross-functional strategy in a global, heavily regulated environment.

Listed on Visa Inc.’s careers site · Apply there ↗

Intuit

Fraud & Risk Analyst, Customer Trust & Safety

Intuit

Oakland, CA · $123,500 – $167,500

Intuit's Trust and Safety team seeks an analyst to investigate fraudulent patterns, design prevention strategies, and collaborate across product and engineering to protect customers from identity theft and account takeovers. The role suits someone with 5+ years in fraud or risk analysis who can write SQL and Python, build dashboards, and influence policy decisions through clear communication.

Listed on Intuit’s careers site · Apply there ↗

Intuit

Staff Data Engineer - Dev360

Intuit

Mountain View, CA · $202,500 – $274,000

This role leads the design and development of large-scale data platforms that help Intuit's engineers understand how their products perform in production and make data-driven decisions. It suits experienced data engineers who excel at building fault-tolerant systems, mentoring others, and translating business needs into technical solutions.

Listed on Intuit’s careers site · Apply there ↗

Intuit

Senior Data Scientist, Customer Success

Intuit

San Diego, CA · $149,500 – $202,500

This role measures and optimizes how expert-led customer interactions drive outcomes in business tax products, combining analytics, experimentation design, and cross-functional collaboration to prove the value of customer success initiatives. It suits data scientists experienced in applied analytics who can connect customer experience investments to measurable business results and can work comfortably with causal inference methods and AI integration.

Listed on Intuit’s careers site · Apply there ↗

View all 14 on Jobs

Asked for alongside Apache Hive

Measured from the 14 open roles that name Apache Hive — not from a curated list.

Employers hiring for Apache Hive

5 in total, most open roles first.

Related skills

Curated neighbors in the taxonomy, whether or not employers ask for them together.

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