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Remote Streamsets Jobs (NOW HIRING)

Engineer II

Dublin, CA · On-site +1

$113K - $195K/yr

Design, develop, and maintain scalable data ingestion pipelines using StreamSets or similar ... This position may be performed remotely anywhere within the United States. #LI-Remote SUPERVISORY ...

Analyst, IT Applications

Dublin, CA · Remote

$81K - $136K/yr

At least 3-5 years of experience working with StreamSets or similar technologies with exposure to ... This position may be performed remotely anywhere within the United States. #LI-Remote SUPERVISORY ...

Remote Duration: Longterm contract Type: Only W2 Note: Looking for EX- Santander contractors ... StreamSets, Kudu, Oozie, Hue, Kafka, Yarn, Python, Flume, Zookeeper, Sentry, Cloudera Navigator ...

Data Architect

$65.25 - $84/hr

Most positions are remote and offer competitive compensation and benefits. Key Skills amp ... like StreamSets and Palantir Foundry is a plus. Cloud amp; Engineering Leadership: Hands-on ...

Data Engineer

$117K - $140K/yr

Most of our positions are remote, providing flexibility while working on impactful federal projects ... Proficiency with ETL and data engineering tools (e.g., StreamSets, Palantir Foundry, Pentaho ...

Data Engineer - Multiple Positions

Chesterfield, MO · Remote

$113K - $136K/yr

United States - Remote Employment Type: Full-Time and Contract Data Engineer Description: As a Data ... Hands-on experience with various data management technologies and tools, such as Kafka, StreamSets ...

Remote Streamsets information

How do Remote StreamSets professionals typically collaborate with data engineering and analytics teams?

Remote StreamSets professionals often work closely with data engineering and analytics teams to design, build, and optimize data pipelines. Collaboration is primarily done through virtual meetings, shared documentation, and project management tools to ensure data flows meet business requirements and compliance standards. Expect to participate in regular sprint planning, code reviews, and troubleshooting sessions, which help maintain clear communication and alignment despite the remote setting. Building strong relationships and proactively sharing updates are key to success in this distributed environment.

What are Remote StreamSets jobs?

Remote StreamSets jobs involve working with the StreamSets DataOps platform to design, build, and manage data pipelines from remote locations. Professionals in these roles help organizations ingest, transform, and deliver data across various sources and targets, often as part of cloud or hybrid data architectures. Remote StreamSets jobs typically require experience with data engineering, ETL processes, and familiarity with cloud platforms. These positions allow for flexibility in work location while supporting critical data integration and management tasks for organizations.

What are the key skills and qualifications needed to thrive as a Remote StreamSets Developer, and why are they important?

To thrive as a Remote StreamSets Developer, you need strong skills in data integration, ETL pipeline development, and proficiency with SQL and data modeling, typically supported by a degree in computer science or a related field. Experience with StreamSets Data Collector, cloud platforms (such as AWS or Azure), and knowledge of big data tools like Hadoop or Spark are commonly required. Excellent problem-solving, communication, and self-management skills help you adapt to remote work and collaborate with distributed teams. These skills are crucial for building reliable data pipelines, ensuring data quality, and supporting scalable data solutions in remote work environments.

What is the difference between Remote Streamsets vs Remote Data Engineer?

AspectRemote StreamsetsRemote Data Engineer
Required CredentialsStreamsets certifications, data management skillsData engineering certifications, SQL, cloud platform expertise
Work EnvironmentData integration platforms, cloud environmentsData pipelines, cloud and on-premises infrastructure
Industry UsageData integration and ETL toolsData architecture and pipeline development
Common Search IntentStreamsets-specific rolesData engineering roles involving pipelines

Remote Streamsets primarily focuses on roles involving the Streamsets platform for data integration, while Remote Data Engineer encompasses broader data pipeline and architecture responsibilities. Both roles require data management skills, but Streamsets roles are more platform-specific, whereas Data Engineers work across various tools and technologies.

More about Remote Streamsets jobs
What cities are hiring for Remote Streamsets jobs? Cities with the most Remote Streamsets job openings:
What are the most commonly searched types of Streamsets jobs? The most popular types of Streamsets jobs are:
What states have the most Remote Streamsets jobs? States with the most job openings for Remote Streamsets jobs include:
What job categories do people searching Remote Streamsets jobs look for? The top searched job categories for Remote Streamsets jobs are:
Infographic showing various Remote Streamsets job openings in the United States as of July 2026, with employment types broken down into 50% Full Time, and 50% Contract. Highlights an 100% Remote job distribution.

Engineer II

Ross Stores, Inc

Dublin, CA • On-site, Remote

$113K - $195K/yr

Full-time

Posted 29 days ago


Job description

GENERAL PURPOSE:  
The Engineer II role focuses on designing, building, and optimizing data ingestion pipelines using StreamSets or similar data integration tools. It involves developing and maintaining Python-based data processing solutions to support scalable and efficient data movement into enterprise data platforms and data lakes. The role requires strong expertise in cloud-based architecture, middleware, and secure data transfer mechanisms. It also includes providing L3 production support, troubleshooting complex data pipeline issues, and enhancing system reliability and performance. Additionally, the engineer collaborates with cross-functional teams to implement best practices, automation, and continuous improvements.

The base salary range for this role is $113,200 - $195,000. The base salary range is dependent on factors including, but not limited to, experience, skills, qualifications, relevant education, certifications, seniority, and location. The range listed is just one component of the total compensation package for employees. Other rewards vary by position and location.

ESSENTIAL FUNCTIONS:
    Design, develop, and maintain scalable data ingestion pipelines using StreamSets or similar technologies. 
    Develop, enhance, and optimize Python scripts for efficient data processing, transformation, and integration across multiple systems. 
    Implement data ingestion solutions aligned with cloud architectures and enterprise data lake strategies. 
    Monitor, troubleshoot, and resolve complex production issues, providing L3 support and ensuring system stability. 
    Collaborate with cross-functional teams to design solutions, implement automation, and follow best practices in delivery. 
    Ensure secure data handling by applying knowledge of networking, authentication, SSL, certificates, and related protocols. 
    Maintain technical documentation, operational procedures, and ensure adherence to change management and testing standards.

COMPETENCIES:
People
    Building Effective Teams 
    Developing Talent 
    Collaboration    
Self
    Leading by Example
    Communicates Effectively
    Ensures Accountability and Execution
    Manages Conflict    
Business
    Business Acumen
    Plans, Aligns and Prioritizes
    Organizational Agility
With particular emphasis on the following specific position-related competencies:
    Dealing with Ambiguity    
    Interpersonal Effectiveness
    Drive for Results    
    Technical Competence/Expertise

QUALIFICATIONS AND SPECIAL SKILLS REQUIRED:
    Minimum 7 years of experience in software engineering, with extensive hands-on experience designing and managing StreamSets pipelines, including Control Hub operations, pipeline orchestration, and implementing standard data ingestion patterns for batch and real-time processing.
    Bachelor's degree in computer science, Information Technology, or related field (or equivalent experience).
    Strong hands-on experience with StreamSets or similar data ingestion/integration platforms.
    Proficiency in Python development for data processing, transformation, and automation.
    Solid understanding of cloud platforms (AWS, Azure, or GCP) and data lake architectures.
    Experience working with structured and semi-structured data formats (JSON, XML, CSV, etc.).
    Strong knowledge of operating systems (Linux/Windows), networking, and system-level concepts.
    Experience with security protocols including SSL, certificates, authentication, and secure data transfer mechanisms.
    Familiarity with JDBC, Java-based applications, and integration with databases and enterprise systems.
    Proven ability to troubleshoot complex production issues, provide L3 support, and optimize system performance.
    Strong analytical, problem solving, and debugging skills
    Excellent oral and written communication skills.

PHYSICAL REQUIREMENTS/ADA:
Job requires ability to work in an office environment, primarily on a computer. 
Requires sitting, standing, walking, hearing, talking on the telephone, attending in-person meetings, typing, and working with paper/files, etc. 
Consistent timeliness and regular attendance.  
Vision requirements: Ability to see information in print and/or electronically.
This position may be performed remotely anywhere within the United States. #LI-Remote

SUPERVISORY RESPONSIBILITIES:
None

DISCLAIMER:
This job description is a summary of the primary duties and responsibilities of the job and position.  It is not intended to be a comprehensive or all-inclusive listing of duties and responsibilities.  Contents are subject to change at management's discretion.

Ross is an equal employment opportunity employer. We consider individuals for employment or promotion according to their skills, abilities and experience. We believe that it is an essential part of the Company's overall commitment to attract, hire and develop a strong, talented and diverse workforce. Ross is committed to complying with all applicable laws prohibiting discrimination based on race, color, religious creed, age, national origin, ancestry, physical, mental or developmental disability, sex (which includes pregnancy, childbirth, breastfeeding and medical conditions related to pregnancy, childbirth or breastfeeding), veteran status, military status, marital or registered domestic partnership status, medical condition (including cancer or genetic characteristics), genetic information, gender, gender identity, gender expression, sexual orientation, as well as any other category protected by federal, state or local laws.