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Streamsets Jobs (NOW HIRING)

Centstone

Kafka / StreamSets Developer

Louisville, KY · On-site

Kafka / StreamSets Developer (Onsite) Locations: Louisville, KY | Houston, TX Visa: H1B / H4 EAD | Long-term Responsibilities • Build and support real-time data streaming using Apache Kafka • ...

NAVA Software Solutions

Data Engineer

Atlanta, GA · On-site

$110.10K - $132.20K/yr

They will use Streamsets to complete these activities. * The candidate will be responsible for ensuring the data pipelines implement data privacy standards, perform well with documented data delivery ...

Tech Tammina LLC

Data Engineer

Okemos, MI · On-site

$103.70K - $124.50K/yr

PL/SQL, Python, T-SQL, StreamSets, Snowflake Cloud Data Platform, and Informatica PowerCenter, Informatica IICS or IDMC. * Experience creating and maintaining ETL processes that use Salesforce as a ...

Changeis

Data Architect

$65.25 - $84/hr

Experience defining data integration standards and overseeing ingestion from diverse systems (RDBMS, ERP, CAD). Familiarity with tools like StreamSets and Palantir Foundry is a plus. Cloud amp;

phData

Solutions Architect

OR · Remote

$63 - $83/hr

Spark, Kafka, event/streaming, Streamsets, Matillion, Fivetran, NiFi, AWS Data Migration Services, Azure DataFactory, Informatica Intelligent Cloud Services (IICS), Google DataProc or other data ...

IT America Inc

ETL Tester

Dallas, TX · Remote

Strong knowledge in analyzing and testing data in data warehouse environment with Cloudera Bigdata Technologies (Hadoop, MapReduce, Sqoop, PySpark, Spark, HDFS, Hive, Impala, StreamSets, Kudu, Oozie ...

Changeis

Data Engineer

$117.20K - $140.70K/yr

Experience with ETL tools such as Informatica, Talend, Pentaho, StreamSets, or Palantir Foundry * Experience with AWS data services (e.g., S3, Glue, Redshift, Lambda) * Familiarity with schema ...

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How much do streamsets jobs pay per hour?

As of May 30, 2026, the average hourly pay for streamsets in the United States is $62.77, according to ZipRecruiter salary data. Most workers in this role earn between $56.73 and $67.79 per hour, depending on experience, location, and employer.

What is a StreamSets job?

A StreamSets job is a scheduled or manually triggered execution of a data pipeline within StreamSets Data Collector or Control Hub. It enables automated data movement between sources and destinations, ensuring data flow reliability and efficiency. Jobs can be monitored, scheduled, and managed centrally, allowing for real-time tracking and troubleshooting.

What are the key skills and qualifications needed to thrive in the Streamsets position, and why are they important?

To excel in a StreamSets Engineer role, you need strong experience in data integration, ETL (Extract, Transform, Load) processes, and a solid understanding of data pipeline architecture. Proficiency with StreamSets Data Collector, DataOps platforms, and supporting technologies like SQL, cloud services (AWS, Azure, GCP), and scripting languages is highly valued; relevant certifications in data engineering are also beneficial. Excellent problem-solving skills, teamwork, and effective communication help you work seamlessly with data analysts, developers, and business stakeholders. These skills are crucial to ensure reliable, scalable data flows and successful integration projects across dynamic business environments.

What are some common challenges faced by StreamSets Engineers and how are they addressed?

StreamSets Engineers often encounter challenges like handling large volumes of diverse data, ensuring pipeline scalability, and optimizing for data quality and performance. Addressing these requires proactive monitoring, designing fault-tolerant architectures, and utilizing built-in validation and error-handling features in StreamSets platforms. Engineers typically collaborate with both data engineers and business teams to understand evolving requirements and resolve issues efficiently. Staying current with platform updates and industry best practices is also key to overcoming technical and operational hurdles. By anticipating and addressing these challenges, StreamSets Engineers help companies maintain reliable and agile data infrastructures.
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Streamsets jobs near you
Infographic showing various Streamsets job openings in the United States as of May 2026, with employment types broken down into 46% Full Time, 7% Part Time, and 47% Contract. Highlights an 64% Physical, 7% Hybrid, and 29% Remote job distribution, with an average salary of $130,566 per year, or $62.8 per hour.

StreamSets Developer

Prophecy Technologies

Louisville, KY • On-site

Full-time

Posted 28 days ago

Job description

Job Title: StreamSets Developer
Location: Louisville
Role Overview
We are seeking an experienced StreamSets Developer to design, develop, and maintain enterprise-grade data pipelines that enable seamless data integration and transformation across multiple source and target systems. The ideal candidate will have strong hands-on experience with StreamSets Data Collector, cloud integrations, and ETL best practices.
Key Responsibilities
  • Design, develop, and deploy data pipelines using StreamSets Data Collector for data ingestion, transformation, and delivery.
  • Integrate data pipelines with cloud platforms (AWS, Azure, GCP) and on-premise systems.
  • Implement and enforce data quality, security, and performance optimization best practices.
  • Collaborate with data architects, data engineers, and business stakeholders to gather requirements and deliver scalable solutions.
  • Monitor, troubleshoot, and optimize existing pipelines for reliability, performance, and scalability.
  • Automate workflows and support CI/CD pipelines for data integration deployments.
  • Ensure compliance with enterprise data governance and security standards.
  • Provide documentation and knowledge transfer for developed pipelines.

Required Skills & Qualifications
  • Strong hands-on experience with StreamSets Data Collector.
  • Good understanding of ETL/ELT concepts and data integration frameworks.
  • Experience working with relational and NoSQL databases.
  • Knowledge of cloud data services on AWS, Azure, or GCP.
  • Strong SQL and data transformation skills.
  • Experience with data pipeline monitoring, logging, and error handling.
  • Familiarity with CI/CD tools and DevOps practices.
  • Strong analytical, troubleshooting, and communication skills.

Preferred Skills
  • Experience with big data platforms and streaming technologies.
  • Knowledge of data security, encryption, and compliance standards.
  • Experience in enterprise data migration projects.

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