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Remote Data Pipeline Jobs (NOW HIRING)

Design, develop, and maintain robust and scalable data pipelines to support analytics and machine learning applications. Collaborate with cross-functional teams, including data scientists and ...

Key Responsibilities: • Design, develop, and maintain robust and scalable data pipelines to support analytics and machine learning applications. • Collaborate with cross-functional teams ...

Senior Data Engineer - REMOTE

Sunrise, FL · On-site +1

$99K - $134K/yr

Senior Data Engineer - Direct Hire - 100% Remote - Will not support Corp to Corp candidates Our ... You will act as architect for data warehouse and data pipeline design, working with Product ...

Location - We are flexible on remote working from home, if you are located in the USA and reside in ... Data Pipeline Development: Design and implement scalable data pipelines that move and transform ...

Location - We are flexible on remote working from home, if you are located in the USA and reside in ... Data Pipeline Development: Design and implement scalable data pipelines that move and transform ...

Data Software Engineer

NC · On-site +1

$90K - $170K/yr

Location - We are flexible on remote working from home, if you are located in the USA and reside in ... Data Pipeline Development: Design and implement scalable data pipelines that move and transform ...

Location - We are flexible on remote working from home, if you are located in the USA and reside in ... Data Pipeline Development: Design and implement scalable data pipelines that move and transform ...

Data Software Engineer

Baltimore, MD · On-site +1

$90K - $170K/yr

Location - We are flexible on remote working from home, if you are located in the USA and reside in ... Data Pipeline Development: Design and implement scalable data pipelines that move and transform ...

Location - We are flexible on remote working from home, if you are located in the USA and reside in ... Data Pipeline Development: Design and implement scalable data pipelines that move and transform ...

Location - We are flexible on remote working from home, if you are located in the USA and reside in ... Data Pipeline Development: Design and implement scalable data pipelines that move and transform ...

Data Engineer

$117K - $140K/yr

About the role We are looking for a skilled Data Engineer to design, build, and maintain scalable ... pipelines in production. Compensation * Location: Jacksonville, FL (Town Center Area) or Remote

Data Engineer

$105K - $120K/yr

Data Engineer Remote/ Occasional Onsite in DC area | NCR Support as Required | Secret with TS ... Data Pipeline amp; Architecture Development: * Architect and implement ETL/ELT pipelines across ...

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Remote Data Pipeline information

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

AspectRemote Data PipelineData Engineer
Required SkillsData integration, ETL tools, scriptingDatabase management, programming, data architecture
Work EnvironmentRemote, cloud-based platformsOn-site or remote, enterprise environments
CertificationsCloud certifications, data toolsData management, cloud certifications
Industry UsageTech, finance, healthcareTech, finance, healthcare

Remote Data Pipelines focus on building and maintaining automated data workflows in cloud environments, often requiring scripting and data integration skills. Data Engineers design and develop comprehensive data systems, including databases and data architecture, with broader responsibilities. Both roles are vital in data-driven industries and often overlap, but Data Engineers typically have a wider scope and require more extensive technical expertise.

More about Remote Data Pipeline jobs
What cities are hiring for Remote Data Pipeline jobs? Cities with the most Remote Data Pipeline job openings:
What are the most commonly searched types of Data Pipeline jobs? The most popular types of Data Pipeline jobs are:
What states have the most Remote Data Pipeline jobs? States with the most job openings for Remote Data Pipeline jobs include:

Data Architect (Remote)

Innowhyte Inc

On-site, Remote

Full-time

Posted 10 days ago


Job description

We are seeking a highly skilled and experienced Data Engineering Lead/Architect to join our dynamic team. The ideal candidate will have a proven track record of designing, building, and maintaining scalable data pipelines, with strong expertise in Python programming, cloud technologies, and large-scale data systems. If you have a passion for working with data and enabling AI/ML capabilities in products, we want to hear from you.
Key Responsibilities:
Design, develop, and maintain robust and scalable data pipelines to support analytics and machine learning applications.
Collaborate with cross-functional teams, including data scientists and software engineers, to implement data-driven solutions.
Optimize and manage data storage systems and ensure high availability, reliability, and performance.
Design, develop, and maintain robust and scalable ETL (Extract, Transform, Load) and ELT (Extract, Load, Transform) data pipelines to support analytics and machine learning applications.
Ensure data pipelines are optimized for efficiency, reliability, and scalability, handling both structured and unstructured data seamlessly.
Handle large-scale datasets, ensuring data integrity and consistency across platforms.
Provide technical expertise and mentorship to junior engineers and stakeholders.
Implement best practices in data engineering, including version control, testing, and deployment.
Stay updated with emerging technologies and tools in data engineering, AI/ML, and cloud ecosystems.
Requirements:
Education: Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
Minimum 5+ years of hands-on experience in data engineering or related roles.
Proficiency in Python programming and its data-processing libraries (e.g., Pandas, PySpark).
Proven expertise in handling large-scale data systems such as distributed databases, data warehouses, and data lakes.
Strong experience with cloud platforms (AWS, Azure, or GCP) and associated tools for data storage, processing, and orchestration.
Practical knowledge of data pipeline frameworks like Apache Airflow, Kafka, or Spark.
Hands-on technical expertise in designing and implementing end-to-end data solutions.
Familiarity with Generative AI (GenAI) and AI/ML technologies.
What We Offer:
Enjoy the flexibility to work from the comfort of your home, with no commute hassles.
Work directly with the CXO team, gaining valuable insights and contributing to strategic decisions.
Take the opportunity to initiate, own, and drive impactful data engineering projects across the organization.
Become a key member of the engineering leadership team, driving innovation and excellence within the data domain.
Work with state-of-the-art technologies in AI, ML, and data engineering.
Competitive compensation and ample opportunities for career growth.
Employment Type: FULL_TIME