Spark Job Salaries

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

Spark

Median high-range salary for jobs requiring Spark:

$220,000

This analysis is based on salary ranges collected from 85 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 $150,000 - $220,000

  • 25% of job descriptions advertised a maximum salary above $259,000.
  • 5% of job descriptions advertised a maximum salary above $322,000.

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 Kubernetes, Leadership and Kafka. 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. Kubernetes

    31% jobs mention Kubernetes as a required skill. The Median Salary Range for these jobs is $184,000 - $253,000

    • 25% of job descriptions advertised a maximum salary above $270,000.
    • 5% of job descriptions advertised a maximum salary above $330,620.
  2. Leadership

    29% jobs mention Leadership as a required skill. The Median Salary Range for these jobs is $178,000 - $245,000

    • 25% of job descriptions advertised a maximum salary above $276,250.
    • 5% of job descriptions advertised a maximum salary above $330,600.
  3. Kafka

    44% jobs mention Kafka as a required skill. The Median Salary Range for these jobs is $165,500 - $240,000

    • 25% of job descriptions advertised a maximum salary above $260,875.
    • 5% of job descriptions advertised a maximum salary above $317,800.
  4. AWS

    42% jobs mention AWS as a required skill. The Median Salary Range for these jobs is $163,500 - $228,000

    • 25% of job descriptions advertised a maximum salary above $254,000.
    • 5% of job descriptions advertised a maximum salary above $318,400.
  5. Machine Learning

    38% jobs mention Machine Learning as a required skill. The Median Salary Range for these jobs is $165,200 - $219,000

    • 25% of job descriptions advertised a maximum salary above $258,500.
    • 5% of job descriptions advertised a maximum salary above $322,000.
  6. Python

    68% jobs mention Python as a required skill. The Median Salary Range for these jobs is $149,900 - $217,500

    • 25% of job descriptions advertised a maximum salary above $257,000.
    • 5% of job descriptions advertised a maximum salary above $298,000.
  7. SQL

    41% jobs mention SQL as a required skill. The Median Salary Range for these jobs is $140,000 - $210,000

    • 25% of job descriptions advertised a maximum salary above $256,500.
    • 5% of job descriptions advertised a maximum salary above $312,350.
  8. Collaboration

    46% jobs mention Collaboration as a required skill. The Median Salary Range for these jobs is $157,800 - $190,000

    • 25% of job descriptions advertised a maximum salary above $249,575.
    • 5% of job descriptions advertised a maximum salary above $292,480.
  9. Communication Skills

    39% jobs mention Communication Skills as a required skill. The Median Salary Range for these jobs is $140,000 - $180,000

    • 25% of job descriptions advertised a maximum salary above $243,850.
    • 5% of job descriptions advertised a maximum salary above $354,540.

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 Fintech, Blockchain intelligence and financial services and Web Development. 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. Fintech

    6% jobs are in Fintech industry. The Median Salary Range for these jobs is $200,000 - $275,000

    • 25% of job descriptions advertised a maximum salary above $283,750.
    • 5% of job descriptions advertised a maximum salary above $310,000.
  2. Blockchain intelligence and financial services

    2% jobs are in Blockchain intelligence and financial services industry. The Median Salary Range for these jobs is $220,000 - $262,500

    • 25% of job descriptions advertised a maximum salary above $270,000.
  3. Web Development

    2% jobs are in Web Development industry. The Median Salary Range for these jobs is $151,500 - $255,750

    • 25% of job descriptions advertised a maximum salary above $263,500.
  4. Financial Services

    4% jobs are in Financial Services industry. The Median Salary Range for these jobs is $169,000 - $228,000

    • 25% of job descriptions advertised a maximum salary above $237,000.
    • 5% of job descriptions advertised a maximum salary above $240,000.
  5. Insurance

    2% jobs are in Insurance industry. The Median Salary Range for these jobs is $127,500 - $215,000

    • 25% of job descriptions advertised a maximum salary above $260,000.
  6. Healthcare

    5% jobs are in Healthcare industry. The Median Salary Range for these jobs is $171,000 - $207,500

    • 25% of job descriptions advertised a maximum salary above $220,000.
  7. Data and AI

    4% jobs are in Data and AI industry. The Median Salary Range for these jobs is $106,600 - $191,100

    • 25% of job descriptions advertised a maximum salary above $224,625.
    • 5% of job descriptions advertised a maximum salary above $235,800.
  8. Cybersecurity

    2% jobs are in Cybersecurity industry. The Median Salary Range for these jobs is $151,500 - $185,000

    • 25% of job descriptions advertised a maximum salary above $190,000.
  9. Public Health

    8% jobs are in Public Health industry. The Median Salary Range for these jobs is $103,500 - $143,500

  10. E-Commerce

    2% jobs are in E-Commerce industry. The Median Salary Range for these jobs is $85,000 - $110,000

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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📍 United States

💸 140000.0 - 238000.0 USD per year

🔍 Mental healthcare technology

  • Experience working on systems that power businesses and support modern web applications.
  • Strong understanding of at least one programming language and comfortability with others.
  • Experience in shaping work to achieve company and team goals.
  • Ability to flex into new technical and non-technical areas as required.
  • For senior engineers: designed software architecture at the systems level, led technical requirements and strategy, mentored teams, and evaluated technologies.

  • Building backend systems for financial processing and bookkeeping to support independent providers.
  • Managing claims and insurance processing to ensure predictable costs for patients and streamlined operations for providers.
  • Creating internal tooling platforms for non-technical teams in healthcare.
  • Developing a practice management platform for therapists.
  • Improving patient search experiences.

AWSPythonKafkaFastAPIPostgresRedisSpark

Posted 1 day ago
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📍 San Francisco Bay Area, Seattle, India, UK

💸 150000.0 - 180000.0 USD per year

🔍 B2B technology

  • Four-year degree in Computer Science, or related field OR equivalent experience.
  • Understanding of data strategies, data analysis, and data model design.
  • Experience designing and building low latency analytics APIs.
  • Proficiency in at least one JVM language (Java, Scala, Kotlin, etc.).
  • Familiarity with the Spark Ecosystem (YARN, Executors, Livy, etc.).
  • Data orchestration frameworks, particularly Airflow or similar.
  • Experience with columnar data stores, particularly Parquet and StarRocks.
  • Strong SDLC principles (CI/CD, Unit Testing, git, etc.).
  • General understanding of AWS EMR, EC2, S3.

  • Design and build the next generation of Demandbase’s Unified Data Platform.
  • Develop data pipelines for ingestion, normalization, and analysis.
  • Integrate 3rd party and open source tools into the data platform.
  • Build DAGs in Airflow for orchestration and monitoring of data pipelines.

AWSApache AirflowJavaKafkaKotlinSparkTerraformScalaData modeling

Posted 6 days ago
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📍 US, Canada

🧭 Full-Time

💸 165200.0 - 295000.0 USD per year

🔍 IoT and Physical Operations

🏢 Company: Samsara👥 1001-5000💰 Secondary Market about 4 years ago🫂 Last layoff over 4 years agoCloud Data ServicesBusiness IntelligenceInternet of ThingsSaaSSoftware

  • Masters or PhD in Computer Science or other quantitative field.
  • 5+ years experience as a Scientist or Machine Learning Engineer.
  • Proficiency in self-serving with data for experiments and model training at scale.
  • Proficient with Spark, Ray, or a similar framework.
  • Coding in Python or similar.
  • Strong functional knowledge of the iterative machine learning product development process.
  • Experienced in developing and shipping production code.
  • Ability to distill informal or ambiguous customer and business requirements into crisp problem definitions.
  • Proven ability to communicate verbally and in writing to technical peers and leadership teams.
  • Experience coaching and mentoring scientists.

  • Lead design and implementation of critical AI product initiatives.
  • Develop both tactical AI solutions as well as more strategic and longer term research.
  • Work with petabyte-scale data from customer operations including text, transactions, diagnostics, sensor, camera, and location data.
  • Partner across business units to explore and prototype new AI experiences.
  • Stay connected to industry and academic research and adopt novel technology that suits Samsara’s needs.
  • Champion, role model, and embed Samsara’s cultural principles.

PythonArtificial IntelligenceData AnalysisMachine LearningSpark

Posted 8 days ago
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📍 USA

🧭 Full-Time

💸 142000.0 - 210000.0 USD per year

🔍 Financial services

  • 1+ years of experience as a software engineer.
  • Drive to change consumer financial services for the better.
  • Fluency in back end development, event processing, and batch processing.
  • Strong cross-team communication and collaboration skills.
  • Passion for learning new technical and business domains.
  • Detailed execution where validation and accuracy are paramount.
  • Knowledge of Python, Airflow, Spark, AWS, and Snowflake is a plus.
  • This position requires either equivalent practical experience or a Bachelor’s degree in a related field.

  • Work with ledger peers and stakeholders to drive business impact on the ledger platform in support of product, commercial, capital markets, and accounting initiatives.
  • Design and build robust, well-instrumented batch data pipelines that can scale to handle Affirm's future growth and adhere to strict SLAs.
  • Partner cross-functionally with product and business teams such as Accounting, Capital Markets, and Treasury to help translate their requirements into engineering strategy.
  • Improve our ledger system’s extensibility for global expansion and scalability.

AWSBackend DevelopmentPythonApache AirflowSnowflakeSpark

Posted 10 days ago
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🔥 Senior Data Engineer
Posted 10 days ago

📍 TX, MN, FL

💸 130000.0 - 195000.0 USD per year

🔍 Healthcare

🏢 Company: NeueHealth

  • Bachelor’s degree in Computer Science, Computer Engineering, Information Systems, or equivalent.
  • Around five years of experience in an enterprise data engineering role in an Azure environment.
  • Healthcare IT background preferred.
  • Experience coding in Scala and building batch and streaming data pipelines.
  • Experience with API design.
  • Extensive experience developing data solutions in Azure Cloud.
  • Experience with event sourcing and/or Big Data architectures.

  • Write traditional code and server-less functions mainly in Scala.
  • Build APIs, data microservices, and ETL pipelines for data sharing and analytics.
  • Develop and optimize processes for large language models and AI enhancements.
  • Support Data Ingestion frameworks deployed in Azure.
  • Participate in cultivating a culture of DevOps and Quality Assurance.
  • Act as tech lead and mentor junior engineers.
  • Continuously document code and team processes.

ETLC#AzureSparkCI/CDDevOpsMicroservicesScala

Posted 10 days ago
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📍 United States, Canada

🧭 Full-Time

💸 260800.0 - 365100.0 USD per year

🔍 Digital Advertising

🏢 Company: Reddit👥 1001-5000💰 $410,000,000 Series F over 3 years ago🫂 Last layoff over 1 year agoNewsContentSocial NetworkSocial Media

  • 10+ years of contributing high-quality code to production systems that operate at scale.
  • 2+ years of experience operating as a Senior Staff engineer.
  • 5+ years of experience in building control systems, PID controllers, multi-armed bandits, reinforcement learning algorithms, or bid/pricing optimization systems.
  • Experience leading large engineering teams and collaborating with cross-functional partners.
  • Experience designing optimization algorithms in an ad serving platform or other marketplaces is preferred.
  • Familiarity with control systems and reinforcement learning algorithms is a strong plus.
  • Significant experience in Java, Python, Go, Scala, C++, or similar languages.
  • Experience with data processing frameworks like Spark, Flink, Kafka.
  • Familiarity with AWS or GCP as a cloud service provider.
  • Experience with tools like Kubernetes, Docker, Airflow, etc.
  • Familiarity with datastores such as ElasticSearch, Redis, and Postgres.

  • Building Reddit-scale optimizations to improve advertiser outcomes using innovative techniques.
  • Leveraging live auction data and model predictions to adjust campaign bids in real-time.
  • Incorporating knowledge of the Reddit ads marketplace into budget pacing algorithms.
  • Leading a team of 15+ engineers on designing new bid & budget optimization products.
  • Conducting rigorous A/B experiments to evaluate business impact.
  • Collaborating with cross-functional teams for customer representation.

AWSDockerPythonElasticSearchGCPJavaKafkaKubernetesMachine LearningPyTorchC++AirflowAlgorithmsCassandraGoPostgresRedisSparkTensorflowScala

Posted 12 days ago
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🔥 Director of Data
Posted 12 days ago

📍 Kenya, United States

💸 101221.0 - 130000.0 USD per year

🔍 Non-profit, cash transfers

🏢 Company: GiveDirectly👥 501-1000💰 $1,000,000 Grant over 6 years agoMobile PaymentsService IndustryCharityFinancial ServicesPaymentsNon Profit

  • Exceptional alignment with GiveDirectly Values and core competencies.
  • 8+ years of relevant experience in data engineering, analytics, or data science.
  • 4+ years of people management experience with a high-performing team track record.
  • Expertise in data to guide business decisions and designing metrics.
  • Ability to create focus amidst ambiguity and competing priorities.
  • Strong product mindset and communication skills.
  • Understanding of engineering and data science best practices.
  • Proficiency in SQL, Python, and modern data stack tools.
  • Strong analytical skills with a solid understanding of data science and machine learning principles.
  • Bonus: experience with Databricks, Spark, AWS.

  • Set the vision, strategy, and roadmap for the central data team.
  • Oversee core data infrastructure, ensuring scalability, reliability, and security.
  • Develop and motivate the team; recruit and retain inspiring teammates.
  • Work with leaders to understand data needs and prioritize focus.
  • Ensure impactful data and insights without direct formal authority.
  • Enhance data usability and trust through quality improvements.
  • Drive investments for improved outputs and secure data.
  • Lead development of data science capabilities for delivering cash.

AWSLeadershipProject ManagementPythonSQLMachine LearningPeople ManagementSalesforceTableauStrategyData engineeringData scienceSparkAnalytical SkillsProblem SolvingNegotiation

Posted 12 days ago
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📍 US

🧭 Full-Time

💸 170000.0 - 180000.0 USD per year

🔍 SMS cloud communications

  • Around 5 years of experience with statistics and machine learning algorithms.
  • Experience in production environments for building and improving ML models.
  • Skilled in programming languages like Python, R, or Scala.
  • Familiarity with frameworks like PyTorch or TensorFlow.
  • Proficient with data technologies such as Spark, Presto, or Hadoop.
  • Solid understanding of data modeling and SQL.
  • Excellent communication skills for technical and non-technical stakeholders.

  • Design and develop data pipelines from various internal and external sources.
  • Build, cleanse, and audit data pipelines to ensure high-quality outputs.
  • Collaborate with engineers to implement robust data infrastructure.
  • Build and deploy machine learning models, leading all phases of development.
  • Use NLP and machine learning to enhance messaging.
  • Develop user metrics and KPIs for product improvements.
  • Serve as a thought leader in data-driven capabilities.

PythonSQLAgileHadoopMachine LearningPyTorchProduct DevelopmentBusiness OperationsAlgorithmsData engineeringData scienceSparkTensorflowCommunication SkillsCollaborationProblem SolvingScala

Posted 15 days ago
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🔥 Lead Data Engineer I
Posted 17 days ago

📍 United States of America

🧭 Full-Time

💸 140000.0 - 170000.0 USD per year

🔍 Insurance

🏢 Company: joinroot

  • 4+ years as a software engineer.
  • 2+ years leading software teams.
  • Expertise in Python, Terraform, SQL, and Spark.
  • Expertise in Cloud Architecture.
  • Experience with telematics or sensor data collection systems.
  • Proven leadership of projects across multiple teams and functional domains.
  • Excellent communication skills with engineering colleagues and senior business leaders.

  • Partner with Marketing, Product, Data Science, Analytics, and Insurance experts to set the strategy for the quarters to come.
  • Identify and socialize important technical initiatives that increase the effectiveness of products, systems, and teams.
  • Coach and guide engineers in planning experiments and projects aligned with strategic objectives.
  • Contribute code each development cycle to advance the team’s impact.
  • Lead incident response to improve system resiliency.
  • Coordinate with Staff Engineers to establish and evangelize standards and best practices.

LeadershipPythonSQLStrategyData scienceSparkCommunication SkillsCollaborationTerraform

Posted 17 days ago
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📍 United States

🧭 Full-Time

💸 140000.0 - 170000.0 USD per year

🔍 SaaS or technology-enabled services

  • 7+ years of experience in B2B marketing and/or product marketing with a strong performance record.
  • Experience in SaaS or technology-enabled services at high-growth companies is preferred.
  • Demonstrated ability to create and launch impactful demand generation campaigns.
  • Experience in executing go-to-market strategies for new product launches or updates.
  • Skills in collaboration with cross-functional teams for defining product strategy.
  • Knowledge of customer journey mapping and funnel optimization.
  • Proficient in writing compelling messaging for various personas.
  • Strong analytical skills for marketing performance metrics.
  • Experience with marketing automation and CRM platforms like HubSpot or Marketo.

  • Partner with the broader Marketing team to build and execute multi-channel demand generation programs.
  • Bring Design Pickle products and features to market through cross-functional collaboration.
  • Develop and refine messaging and positioning strategies for products and services.
  • Analyze campaign performance across the marketing funnel to improve key performance indicators.
  • Conduct market research to inform product and marketing strategies.
  • Leverage customer feedback to enhance client engagement.

LeadershipProject ManagementStrategySparkCommunication SkillsCollaborationSEOCross-functional collaboration

Posted 18 days ago
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