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Remote Streamsets Jobs (NOW HIRING)

Data Engineer

$117K - $140K/yr

Ability to work independently in a remote, contract-based environment Preferred Skills * Experience with ETL tools such as Informatica, Talend, Pentaho, StreamSets, or Palantir Foundry * Experience ...

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 ...

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 ...

Solutions Architect

OR · Remote

$63 - $83/hr

Spark, Kafka, event/streaming, Streamsets, Matillion, Fivetran, NiFi, AWS Data Migration Services ... Remote-First Work Environment * Casual, award-winning small-business work environment

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 ...

Solutions Architect

$64.50 - $85/hr

Join phData, a remote-first data and AI consultancy company with employees across the United States ... Spark, Kafka, event/streaming, Streamsets, Matillion, Fivetran, NiFi, AWS Data Migration Services ...

Data Analyst

Beavercreek, OH · On-site +1

$61K - $141K/yr

Remote Work: Yes Job Number: R0242373 Location: Beavercreek,OH,US Share job via: Share Data Analyst ... Experience with ETL performance optimization or data movement software such as 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:
Infographic showing various Remote Streamsets job openings in the United States as of June 2026, with employment types broken down into 91% Full Time, and 9% Part Time. Highlights an 73% Physical, 11% Hybrid, and 16% Remote job distribution.
Data Engineer

$117K - $140K/yr

Full-time

Posted 7 days ago


Job description

Data Engineer (Remote – Federal Contract Opportunity)

We are seeking a Data Engineer to support U.S. Federal clients in designing, building, and maintaining scalable data solutions. This role focuses on developing robust ETL pipelines, modernizing legacy data systems, and enabling reliable data flow across enterprise environments.

This is a full-time remote contract opportunity supporting federal programs. Candidates with varying levels of experience are encouraged to apply, from early-career professionals to senior engineers.

Key Responsibilities
  • Design, develop, and maintain scalable data pipelines and ETL/ELT workflows
  • Support modernization of legacy data systems into cloud-based or distributed platforms
  • Work with stakeholders to translate business and technical requirements into data solutions
  • Build efficient, reliable, and reusable data processing components
  • Ensure data quality, integrity, and consistency across systems
  • Troubleshoot and resolve data pipeline issues, including schema and integration challenges
  • Collaborate with cross-functional teams including engineering, analytics, and operations
  • Participate in code reviews and support engineering best practices
Required Skills amp; Qualifications
  • Experience in data engineering, ETL development, or related software engineering roles
  • Strong proficiency in SQL
  • Experience with at least one programming language such as Python or Java
  • Hands-on experience building or supporting data pipelines or data integration workflows
  • Understanding of data structures, data modeling, and data processing concepts
  • Strong problem-solving skills and ability to work through complex data issues
  • Ability to work independently in a remote, contract-based environment
Preferred Skills
  • 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 evolution, data validation, and data quality frameworks
  • Experience mentoring junior engineers or performing code reviews
  • Exposure to Agile development environments
Preferred Experience
  • Prior experience working with U.S. Federal agencies or government contractors
  • Experience supporting large-scale enterprise or mission-critical data systems
  • Familiarity with FAA or other regulated environments is a plus
  • Ability to obtain or maintain federal security clearance is preferred but not required