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Streamsets Jobs (NOW HIRING)

Koantek

Data Engineer - Multiple Positions

Chesterfield, MO · On-site

$113K - $136K/yr

Hands-on experience with various data management technologies and tools, such as Kafka, StreamSets, and MapReduce. * Proficient in using advanced analytics and machine learning frameworks, including ...

Thrivent

Staff Engineer

Minneapolis, MN · On-site

$173K/yr

Streamsets and Bamboo; * Working with Informatica, IICS and DB2; * Cloud technologies: AWS, Azure, Google Cloud, OpenStack, Docker, Ansible, Chef, Lambdas, Microservices and Terraform. Salary: at ...

OfficeAlly Inc.

Senior Integration Engineer

Concord, CA · On-site

$120K - $150K/yr

Knowledge of ETL tools (StreamSets, Talend, Airbyte, or similar) * Experience integrating with or supporting Guidewire ClaimCenter and Contact Manager in complex P&C insurance environments

Jefferies

VP, Senior Software Engineer (Java)

Manhattan, NY · On-site

$180K - $220K/yr

Exposure to ETL & Data Engineering tools like Mulesoft, StreamSets & Databricks. Primary Location Full Time Salary Range of $180,000 - $220,000. About Us Jefferies is a leading global, full-service ...

Jefferies

VP, Senior Software Engineer (Java)

Manhattan, NY · On-site

$180K - $220K/yr

Exposure to ETL & Data Engineering tools like Mulesoft, StreamSets & Databricks. Primary Location Full Time Salary Range of $180,000 - $220,000. Jefferies is a leading global, full-service investment ...

phData

Technical Delivery Manager

OR · On-site +1

Additional experience with tools such as Qlik, StreamSets, NiFi, Cloudera, or Coalesce. * Prior experience in a consulting, managed services, or MSP-style environment supporting multiple enterprise ...

Bah

University, Data Engineer

Atlanta, GA · On-site

$48K - $98K/yr

Knowledge of data aggregation and ingestion tools or web scraping packages on platforms such as StreamSets Compensation At Booz Allen, we celebrate your contributions, provide you with opportunities ...

Booz Allen Hamilton

University, Data Engineer

Atlanta, GA · On-site

$48K - $98K/yr

Knowledge of data aggregation and ingestion tools or web scraping packages on platforms such as StreamSets Compensation At Booz Allen, we celebrate your contributions, provide you with opportunities ...

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How much do streamsets jobs pay per hour?

As of Sep 13, 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?

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?

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 September 2026, with employment types broken down into 57% Full Time, and 43% Contract. Highlights an 76% Physical, 10% Hybrid, and 14% Remote job distribution, with an average salary of $130,566 per year, or $62.8 per hour.

Data Engineer - Multiple Positions

Chesterfield, MO • On-site

Koantek
IT Services • 11 - 50 employees
Learn more about Koantekexternal

$113K - $136K/yr

Contractor

Re-posted 18 days ago

Job description


Location: United States - Remote
Employment Type: Full-Time and Contract
Data Engineer
Description:
As a Data Engineer at Koantek, you will leverage advanced data engineering techniques and analytics to support business decisions for our clients. Your role will involve designing and building robust data pipelines, integrating structured and unstructured data from various sources, and developing tools for data processing and analysis. You will play a pivotal role in managing data infrastructure, optimizing data workflows, and guiding data-driven strategies while working closely with data scientists and other stakeholders.
The impact you will have:
  • Guide Big Data Transformations: Implementation of comprehensive big data projects, including the development and deployment of innovative big data and AI applications.
  • Ensure Best Practices: Guarantee that Databricks best practices are applied throughout all projects to maintain high-quality service and successful implementation.
  • Support Project Management: Assist the Professional Services leader and project managers with estimating efforts and managing risks within customer proposals and statements of work.
  • Architect Complex Solutions: Design, develop, deploy, and document complex customer engagements, either independently or as part of a technical team, serving as the technical lead and authority.
  • Enable Knowledge Transfer: Facilitate the transfer of knowledge and provide training to team members, customers, and partners, including the creation of reusable project documentation.
  • Contribute to Consulting Excellence: Share expertise with the consulting team and offer best practices for client engagement, enhancing the effectiveness and efficiency of other teams.

Requirements
Minimum qualifications:
  • Educational Background: Bachelor's degree in Computer Science, Information Technology, or a related field (or equivalent experience).
  • Experience:
    • 3+ years of experience as a Data Engineer, with proficiency in at least two major cloud platforms (AWS, Azure, GCP).
    • Proven experience in designing, developing, and implementing comprehensive data engineering solutions using Databricks, specifically for large-scale data processing and integration projects
    • Develop scalable streaming and batch solutions using cloud-native components.
    • Perform data transformation tasks, including cleansing, aggregation, enrichment, and normalisation, utilising Databricks and related technologies.
    • Experience in applying DataOps principles and implementing CI/CD and DevOps practices within data environments to optimize development and deployment workflows.
  • Technical Skills:
    • Expert-level proficiency in Spark Scala, Python, and PySpark.
    • In-depth knowledge of data architecture, including Spark Streaming, Spark Core, Spark SQL, and data modeling.
    • Hands-on experience with various data management technologies and tools, such as Kafka, StreamSets, and MapReduce.
    • Proficient in using advanced analytics and machine learning frameworks, including Apache Spark MLlib, TensorFlow, and PyTorch, to drive data insights and solutions.
  • Databricks Specific Skills:
    • Extensive experience in data migration from on-premises to cloud environments and in implementing data solutions on Databricks across cloud platforms (AWS, Azure, GCP).
    • Skilled in designing and executing end-to-end data engineering solutions using Databricks, focusing on large-scale data processing and integration.
    • Proven hands-on experience with Databricks administration and operations, including notebooks, clusters, jobs, and data pipelines.
    • Experience integrating Databricks with other data tools and platforms to enhance overall data management and analytics capabilities.
  • Good to have Certifications:
    • Certification in Databricks Engineering (Professional)
    • Microsoft Certified: Azure Data Engineer Associate
    • GCP Certified: Professional Google Cloud Certified.
    • AWS Certified Solutions Architect Professional

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