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Hadoop Hive Developer Jobs (NOW HIRING)

ClifyX

Spark + Hive Engineer

Sunnyvale, CA · On-site

The role focuses on leveraging Spark and Hive technologies, requiring strong programming skills and a deep understanding of Hadoop internals. Responsibilities : • 5+ years of IT experience • 2+ ...

LibSys Inc

Sr. Hadoop/Hive Consultant

Foster City, CA · On-site

Company Description The client is VISA Position: Sr. Hadoop/Hive Consultant Location - Foster City, CA Duration: 1 year long The Analytics Software Engineer will work directly with Client Sales ...

M3BI

Hadoop Developer

Phoenix, AZ · On-site

As a Hadoop developer, you will provide technical expertise and aptitude to Hadoop technologies as ... Experience in Hadoop / HIVE - Performance tuning * Experience in creating tables in HIVE

M3BI

Hadoop Developer

Phoenix, AZ · On-site

As a Hadoop developer, you will provide technical expertise and aptitude to Hadoop technologies as ... Experience in Hadoop / HIVE - Performance tuning * Experience in creating tables in HIVE

M3BI - A Zensar Company

Hadoop Developer

Phoenix, AZ · On-site

... Running Pig and Hive Queries, Analyzing data with Hive • Experience in Hadoop / HIVE ... of programming, debugging and deploying • Self-starter, with excellent self-study skills and ...

AditiStaffing

Hadoop Developer

Alpharetta, GA · On-site

Strong knowledge and deployment experience in the Hadoop and Big Data ecosystem - Hadoop, Hive, HBase, Drill, R, Spark, etc * Knowledge of software engineering best practices * 5+ years of ...

Northern Base

Hadoop Developer

Charlotte, NC · On-site

Hiring Alert | Hadoop Developer Location: Charlotte, NC (Onsite) Employment Type: Full-Time ... Hive * Python * SQL * Unix * Kafka * Java * Big Data Development * Distributed Data Processing ...

ClifyX

Hadoop Analyst

San Jose, CA · On-site

The main responsibilities include handling client requirements, designing according to business requirements, and developing and testing using Hadoop Hive and Spark scripts. Responsibilities : • ...

MM International

Hadoop Developer

Addison, TX · On-site

Good programming knowledge with Hadoop, HIVE, Unix, Python, Shell Scripting * Strong knowledge in SQL/PSQL for building and performance tuning complex queries with multiple joins * Strong analytical ...

LibSys Inc

Sr.Hadoop Developer

Foster City, CA · On-site

... Engineer will work directly with Client Sales Analytics Team and Solutions Architects to develop ... Collaboratively develop a business intelligence (BI) solution, using Hadoop (Hive) Coordinate with ...

Syntricate Technologies

Hadoop Developer

Plano, TX · On-site

Syntricate Technologies is seeking a Hadoop Developer to work onsite in Plano, TX. The role ... Hadoop, Hive, Spark, python, scala etc. • Experience in scheduling tool like Autosys ...

Jobsbridge

Hadoop/ Bigdata Developer

Chicago, IL · On-site

... Hive, and Flume) programming experience and Big Data ecosystem (Hadoop, HDFS, Map Reduce, Yarn, Pig, Hive, Oozie, Sqoop, Vertica) to derive insights/analytics from Big Data. Relevant experience in ...

ClifyX

Spark Developer

Sunnyvale, CA · On-site

ClifyX is seeking a Spark Developer to join their team in Sunnyvale, CA. The role requires strong ... Hadoop, Hive, Oozie, MapReduce, Sqoop. • Should be proficient in writing Advanced SQLs and ...

Jobsbridge

Hadoop Developer

New York, NY · On-site

Adopt best engineering practices and develop high quality maintainable code. Evaluate alternatives ... At least 2+ years of hands on experience in Hadoop, Hive, HBase, Pig , Map Reduce. Experience ...

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How much do hadoop hive developer jobs pay per hour?

As of Sep 9, 2026, the average hourly pay for hadoop hive developer in the United States is $59.89, according to ZipRecruiter salary data. Most workers in this role earn between $56.97 and $65.38 per hour, depending on experience, location, and employer.

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Infographic showing various Hadoop Hive Developer job openings in the United States as of August 2026, with employment types broken down into 84% Full Time, 2% Part Time, and 14% Contract. Highlights an 81% Physical, 5% Hybrid, and 14% Remote job distribution, with an average salary of $124,575 per year, or $59.9 per hour.

Hadoop Hive Python Developer

Charlotte, NC • On-site

Covetus, LLC
IT Services • 1 - 10 employees
Learn more about Covetus, LLCexternal

Other

Posted 9 days ago

Job description

Location: Charlotte, NC (Full time onsite)
 
 
Job Description:
Must Have Technical/Functional Skills
 
Primary skills: Hadoop, Hive, Python, PySpark, Apache Kafka, Hadoop Ecosystem, Hive, Databricks Lakehouse Architecture, Delta Lake, Bronze/Silver/Gold Data Modeling, Big Data ETL Pipeline Development, SQL, Real-time Data Ingestion Frameworks, Data Governance & Cataloging, CI/CD Tools – Git, Jenkins, Bitbucket, Workflow Orchestration, and Cloud & On-Prem Big Data Platforms.
 
Experience: Minimum 9+ years
 
Roles & Responsibilities
 
Seeking a Senior Big Data Engineer with 9-14 years of experience specializing in Hadoop, Python, Hive PySpark, Kafka, and strong experience designing data solutions for large-scale financial systems.
In addition, the candidate must possess advanced expertise in Databricks Lakehouse architecture, particularly around Bronze/Silver/Gold layer data modeling, Delta Lake optimizations, and building reliable, scalable pipelines for regulatory, risk, trading, and analytics workloads.
This role focuses on delivering highly performant, well-governed data platforms that support the bank’s mission-critical global markets functions.
 
Key Responsibilities:
Big Data Platform Engineering
· Design, develop, and optimize PySpark-based ETL pipelines running on on‑prem Hadoop clusters and cloud environments.
· Build high‑volume ingestion frameworks using Kafka for real-time and near-real-time trading and market data. 
· Develop, tune, and manage Hadoop ecosystem components—HDFS, YARN, MapReduce, Tez, Oozie/Airflow. 
· Build high-performance, optimized Hive data models for regulatory reporting, trade lifecycle, and market risk processing. 
 
Databricks Lakehouse & Delta Framework: 
· Architect and implement Bronze/Silver/Gold layer modeling patterns within the Databricks Lakehouse. 
· Apply Delta Lake best practices including: 
o optimized file management 
o Z-Ordering 
o Delta Change Data Feed (CDF) 
o schema evolution & enforcement 
o ACID transaction handling 
· Build reusable frameworks for ingestion, cleansing, transformation, and consumption of data across Lakehouse layers. 
· Enable governance, lineage, and auditability using Unity Catalog or equivalent cataloging tools. 
 
Collaboration, Leadership & Delivery: 
· Collaborate closely with quants, product owners, architects, risk tech, and business users. 
· Participate in agile ceremonies — sprint planning, refinement, design reviews. 
· Mentor junior engineers and contribute to building strong engineering practices across tech teams. 
 
Required Skills & Experience: 
· 9-14 years of hands-on experience in Big Data engineering. 
· Expert skills in: 
o PySpark — dataframe optimizations, partitioning, broadcast strategies, distributed computing. 
o Kafka — producer/consumer design, schema registry, streaming ETLs. 
o Hadoop ecosystem — HDFS, YARN, MapReduce/Tez, Oozie/Airflow. 
o Hive — advanced query tuning, TEZ optimization, partition/bucket management. 
· Extensive hands-on experience with Databricks Lakehouse, including: 
o Bronze/Silver/Gold layer modeling 
o Delta Lake optimizations 
o Data quality frameworks on Lakehouse 
o Structured & unstructured data handling 
· Experience in Global Markets, Risk, Treasury, Trade Surveillance, or Regulatory Reporting. 
· Strong SQL knowledge with experience working on massive datasets (TB/PB scale). 
· Experience with CI/CD practices — Git, Jenkins, Bitbucket, build pipelines.

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