Apache Hadoop Job Salaries

Find salary information for remote positions requiring Apache Hadoop skills. Make data-driven decisions about your career path.

Apache Hadoop

Median high-range salary for jobs requiring Apache Hadoop:

$255,000

This analysis is based on salary ranges collected from 3 job descriptions that match the search and allow working remotely. Choose a country to narrow down the search and view statistics exclusively for remote jobs available in that location.

The Median Salary Range is $177,309 - $255,000

  • 25% of job descriptions advertised a maximum salary above $296,468.25.
  • 5% of job descriptions advertised a maximum salary above $310,291.

Skills and Salary

Specific skills can have a substantial impact on salary ranges for jobs that align with these search preferences. Certain in-demand skills are highly valued by employers and can significantly boost compensation. These skills often reflect the unique requirements and challenges faced by professionals in these roles. Some of the most sought-after skills that correlate with higher salaries include Software Development, Python and Algorithms. Mastering these skills can demonstrate expertise and make individuals more competitive in the job market. Employers often prioritize candidates who possess these skills, as they can contribute directly to the organization's success. The ability to effectively utilize these skills can lead to increased earning potential and career advancement opportunities.

  1. Software Development

    33% jobs mention Software Development as a required skill. The Median Salary Range for these jobs is $177,309 - $310,291

  2. Python

    67% jobs mention Python as a required skill. The Median Salary Range for these jobs is $188,654.5 - $282,645.5

    • 25% of job descriptions advertised a maximum salary above $310,291.
  3. Algorithms

    67% jobs mention Algorithms as a required skill. The Median Salary Range for these jobs is $188,654.5 - $282,645.5

    • 25% of job descriptions advertised a maximum salary above $310,291.
  4. Data Structures

    67% jobs mention Data Structures as a required skill. The Median Salary Range for these jobs is $188,654.5 - $282,645.5

    • 25% of job descriptions advertised a maximum salary above $310,291.
  5. SQL

    33% jobs mention SQL as a required skill. The Median Salary Range for these jobs is $200,000 - $255,000

  6. Data engineering

    67% jobs mention Data engineering as a required skill. The Median Salary Range for these jobs is $188,000 - $231,000

    • 25% of job descriptions advertised a maximum salary above $255,000.
  7. AWS

    33% jobs mention AWS as a required skill. The Median Salary Range for these jobs is $176,000 - $207,000

  8. Apache Airflow

    33% jobs mention Apache Airflow as a required skill. The Median Salary Range for these jobs is $176,000 - $207,000

  9. ETL

    33% jobs mention ETL as a required skill. The Median Salary Range for these jobs is $176,000 - $207,000

Industries and Salary

Industry plays a crucial role in determining salary ranges for jobs that align with these search preferences. Certain industries offer significantly higher compensation packages compared to others. Some in-demand industries known for their competitive salaries in these roles include Software Development, Blockchain intelligence and financial crime prevention and Cybersecurity. These industries often have a strong demand for skilled professionals and are willing to invest in talent to meet their growth objectives. Factors such as industry size, profitability, and market trends can influence salary levels within these sectors. It's important to consider industry-specific factors when evaluating potential career paths and salary expectations.

  1. Software Development

    33% jobs are in Software Development industry. The Median Salary Range for these jobs is $177,309 - $310,291

  2. Blockchain intelligence and financial crime prevention

    33% jobs are in Blockchain intelligence and financial crime prevention industry. The Median Salary Range for these jobs is $200,000 - $255,000

  3. Cybersecurity

    33% jobs are in Cybersecurity industry. The Median Salary Range for these jobs is $176,000 - $207,000

Disclaimer: This analysis is based on salary ranges advertised in job descriptions found on Remoote.app. While it provides valuable insights into potential compensation, it's important to understand that advertised salary ranges may not always reflect the actual salaries paid to employees. Furthermore, not all companies disclose salary ranges, which can impact the accuracy of this analysis. Several factors can influence the final compensation package, including:

  • Negotiation: Salary ranges often serve as a starting point for negotiation. Your experience, skills, and qualifications can influence the final offer you receive.
  • Benefits: Salaries are just one component of total compensation. Some companies may offer competitive benefits packages that include health insurance, paid time off, retirement plans, and other perks. The value of these benefits can significantly affect your overall compensation.
  • Cost of Living: The cost of living in a particular location can impact salary expectations. Some areas may require higher salaries to maintain a similar standard of living compared to others.

Jobs

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πŸ“ USA

πŸ’Έ 176000.0 - 207000.0 USD per year

πŸ” Cybersecurity

🏒 Company: Abnormal SecurityπŸ‘₯ 501-1000πŸ’° $250,000,000 Series D 7 months agoArtificial Intelligence (AI)EmailInformation TechnologyCyber SecurityNetwork Security

  • 5+ years of experience as a data engineer or similar role, with hands-on experience in building data-focused solutions.
  • Expertise in ETL, data pipeline design, and data engineering tools and technologies (e.g., Apache Spark, Hadoop, Airflow, Kafka).
  • Experience with maintaining real-time and near real-time data pipelines or streaming services at high scale.
  • Experience with maintaining large scale distributed systems on cloud platforms such as AWS, GCP, or Azure.
  • Background in implementing data quality frameworks, including validation, monitoring, and anomaly detection.
  • Proven ability to collaborate effectively with cross-functional teams.
  • Excellent problem-solving skills and ability to work independently in a fast-paced environment.
  • Architect, design, build, and deploy backend ETL jobs and infrastructure that support a world-class Detection Engine.
  • Ownership projects that enable us to meet ambitious goals, including scaling components of Detection’s Data Pipeline by 10x.
  • Own real-time, near real-time streaming pipelines and online feature serving services.
  • Collaborate closely with MLE and Data Science teams, distilling feedback and executing strategy.
  • Coach and mentor junior engineers through 1on1s, pair programming, code reviews, and design reviews.

AWSApache AirflowApache HadoopETLGCPKafkaAzureData engineering

Posted about 1 month ago
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πŸ“ United States

🧭 Full-Time

πŸ’Έ 200000.0 - 255000.0 USD per year

πŸ” Blockchain intelligence and financial crime prevention

🏒 Company: TRM LabsπŸ‘₯ 101-250πŸ’° $70,000,000 Series B over 2 years agoCryptocurrencyComplianceBlockchainBig Data

  • Academic background in a quantitative field such as Computer Science, Mathematics, Engineering, or Physics.
  • Strong knowledge of algorithm design and data structures with practical application experience.
  • Experience optimizing large-scale distributed data processing systems like Apache Spark, Apache Hadoop, Dask, and graph databases.
  • Experience in converting academic research into products with a history of collaborating on feature releases.
  • Strong programming experience in Python and SQL.
  • Excellent communication skills for technical and non-technical audiences.
  • Delivery-oriented with the ability to lead feature development from start to finish.
  • Autonomous ownership of work, capable of moving swiftly and efficiently.
  • Knowledge of basic graph theory concepts.
  • Designing and implementing graph algorithms that analyze large cryptocurrency transaction networks at multi-blockchain scale.
  • Researching new graph-native technology to evaluate benefit to data science and data engineering teams at TRM.
  • Collaborating with cryptocurrency investigators to identify key user stories and requirements for new graph algorithms and features.
  • Understanding and refining TRM’s risk models to assign risk scores to addresses.
  • Communicating complex implementation details to various audiences from investigators to data engineers.
  • Integrating with diverse data inputs ranging from raw blockchain data to model outputs.

PythonSQLApache HadoopAlgorithmsData engineeringData scienceData Structures

Posted about 2 months ago
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πŸ“ US

πŸ’Έ 177309.0 - 310291.0 USD per year

πŸ” Software Development

🏒 Company: PinterestπŸ‘₯ 5001-10000πŸ’° Post-IPO Equity over 2 years agoπŸ«‚ Last layoff about 2 years agoInternetSocial NetworkSoftwareSocial MediaSocial Bookmarking

  • 4+ years of industry experience applying machine learning methods (e.g., user modeling, personalization, recommender systems, search, ranking, natural language processing, reinforcement learning, and graph representation learning)
  • End-to-end hands-on experience with building data processing pipelines, large scale machine learning systems, and big data technologies (e.g., Hadoop/Spark)
  • MS/PhD in Computer Science, ML, NLP, Statistics, Information Sciences, related field, or equivalent experience.
  • Build cutting edge technology using the latest advances in deep learning and machine learning to personalize Pinterest
  • Partner closely with teams across Pinterest to experiment and improve ML models for various product surfaces (Homefeed, Ads, Growth, Shopping, and Search), while gaining knowledge of how ML works in different areas
  • Use data driven methods and leverage the unique properties of our data to improve candidates retrieval
  • Work in a high-impact environment with quick experimentation and product launches
  • Keeping up with industry trends in recommendation systems

PythonSoftware DevelopmentApache HadoopMachine LearningNumpyPyTorchAlgorithmsData StructuresSparkTensorflow

Posted about 2 months ago
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