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Remote Data Pipeline Engineer Jobs (NOW HIRING)

Lead, Data Engineer

Tallahassee, FL ยท Remote

$127K - $236K/yr

Melbourne, FL or Remote Opportunity Job Schedule: 9/80: Employees work 9 out of every 14 days ... This role includes overseeing data ETL/ELT pipelines, ensuring adherence to data standards ...

$127K - $236K/yr

Melbourne, FL or Remote Opportunity Job Schedule: 9/80: Employees work 9 out of every 14 days ... This role includes overseeing data ETL/ELT pipelines, ensuring adherence to data standards ...

Lead, Data Engineer

Melbourne, FL ยท Remote

$127K - $236K/yr

Melbourne, FL or Remote Opportunity Job Schedule: 9/80: Employees work 9 out of every 14 days ... This role includes overseeing data ETL/ELT pipelines, ensuring adherence to data standards ...

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

$117K - $140K/yr

Remote Description The Senior Data Engineer will play a critical implementation role on the Data Engineering and Data Services team and be responsible for data pipeline solutions design and ...

Data Engineer

$117K - $140K/yr

Data Engineer JOB RESPONSIBILITIES The primary focus of a Data Engineer will be expanding and ... Create and maintain optimal data pipeline architecture * Assemble complex, large data sets that ...

Senior Build Systems & Pipeline Engineer

San Jose, CA ยท Remote

$122K - $168K/yr

The Opportunity We are looking for a Senior Build Systems & Pipeline Engineer to help scale and ... Enable scalable remote caching and distributed build execution strategies * Apply AI-assisted ...

Data Engineer- Hybrid

Irvine, CA ยท On-site +1

$80 - $95/hr

Monday through Thursday onsite, Fridays remote. COMPENSATION: $80-95 an hour. This is a 2-year ... Data Pipeline Development: * Design, implement, and maintain data pipelines using Python ...

We're a fast-moving, fully remote team with members from all around the world caring deeply about ... Monitor pipeline reliability and address breakages. Objective 2 - Build reliable business data ...

Intelligence Pipeline Analyst

San Francisco, CA ยท On-site +1

$90K - $120K/yr

This role blends intelligence tradecraft, operational data engineering, AI-driven workflows, and ... Locations San Francisco, DC, NY Remote status Fully Remote Yearly salary $90,000 - $120,000 ...

Showing results 41-60

Remote Data Pipeline Engineer information

See salary details

$44.5K

$129.7K

$177.5K

How much do remote data pipeline engineer jobs pay per year?

As of Jul 24, 2026, the average yearly pay for remote data pipeline engineer in the United States is $129,716.00, according to ZipRecruiter salary data. Most workers in this role earn between $114,500.00 and $137,500.00 per year, depending on experience, location, and employer.

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

AspectRemote Data Pipeline EngineerData Engineer
Required CredentialsBachelor's in CS, Data Science, or related; experience with cloud platformsBachelor's or higher in CS, Software Engineering; certifications like AWS or GCP often preferred
Work EnvironmentRemote, collaborative teams, cloud-based toolsRemote or on-site, enterprise or startup settings, cloud and on-premise infrastructure
Industry UsageTech, finance, healthcare, e-commerceSame as Remote Data Pipeline Engineer, broader focus on data infrastructure

Both roles focus on managing data workflows, but Remote Data Pipeline Engineers specialize in building and maintaining data pipelines specifically in cloud environments, often with a focus on ETL processes. Data Engineers have a broader scope, including designing data architectures and working with large-scale data systems. The roles overlap significantly, especially in skills and industry usage, but the Pipeline Engineer role emphasizes pipeline development and deployment in remote, cloud-based settings.

More about Remote Data Pipeline Engineer jobs
What cities are hiring for Remote Data Pipeline Engineer jobs? Cities with the most Remote Data Pipeline Engineer job openings:
What are the most commonly searched types of Data Pipeline Engineer jobs? The most popular types of Data Pipeline Engineer jobs are:
What states have the most Remote Data Pipeline Engineer jobs? States with the most job openings for Remote Data Pipeline Engineer jobs include:
Infographic showing various Remote Data Pipeline Engineer job openings in the United States as of July 2026, with employment types broken down into 1% As Needed, 84% Full Time, 11% Part Time, 1% Temporary, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $129,716 per year, or $62.4 per hour.

Lead, Data Engineer

L3HHCM20

Tallahassee, FL โ€ข Remote

$127K - $236K/yr

Other

Medical, Retirement, PTO

Posted 7 days ago


Job description

Job Title:ย Lead, Data Engineerย 

Job Code:ย 41065

Job Location:ย Melbourne, FL or Remote Opportunity

Job Schedule:ย 9/80: Employees work 9 out of every 14 days - totaling 80 hours worked - and have every other Friday off

Job Description:

L3Harris Enterprise Data and AI team is seeking a Data Engineer with experience in managing enterprise-level data life cycle processes. This role includes overseeing data ETL/ELT pipelines, ensuring adherence to data standards, maintaining data frameworks, conducting data cleansing, orchestrating data pipelines, and ensuring data consolidation. The selected individual will play a pivotal role in maintaining ontologies, building scalable data solutions, and developing dashboards to provide actionable insights for the enterprise within Palantir Foundry. This position will support the company's modern data platform, Unified Data Layer, focusing on data pipeline development and maintenance, data platform design, documentation, and user training. The goal is to ensure seamless access to data for all levels of the organization, empowering decision-makers with clean, reliable data.

Essential Functions:

  • Provide architectural oversight for the company's data platform and related initiatives, ensuring alignment with company standards and best practices
  • Assist development initiatives with design reviews, offering guidance on architecture and data modeling
  • Lead design reviews for proposed solutions, including data sourcing, data pipelines, data models, and ontology resources, providing actionable feedback to enhance design scalability
  • Assist and develop architectural artifacts, perform requirements decomposition, and develop other documentation to support the software development lifecycle (SDLC)
  • Support the SDLC process by participating in data architecture review sessions, reviewing proposed solutions for compliance with architectural standards
  • Oversee and provide guidance for data pipelines, ensuring scalability, reusability, and performance
  • Utilize Palantir Foundry to perform data integration and ontology management to support big data analytics at scale
  • Collaborate with cross-functional teams to define data governance, metadata, and ontology standards, ensuring consistency and clarity across the data platform and enterprise
  • Remain current with emerging data technologies and frameworks to recommend improvements to the data platform architecture

Qualifications:

  • Bachelor's Degree and minimum 9ย years prior Palantir experience orย Graduate Degree and a minimum of 7ย years of prior Palantir experienceย In lieu of degree, minimum 13ย years of prior Palantir experience.
  • Minimum of 4ย years of experience with Data Pipeline development or ETL tools such as Palantir Foundry, Azure Data Factory, SSIS, or Python.
  • Minimum of 4ย years of experience in Data Integration.

Preferred Additional Skills:

  • Experience supporting or implementing solutions that leverage Generative AI capabilities, including Retrieval-Augmented Generation (RAG), semantic search, and LLM integration
  • Experience with Palantir Foundry tools such as Ontology Manager, Compass, Code Repository, Solution Designer, OSDK, AI FDE, and AIP Analyst
  • Understanding of BI (Business Intelligence) & DW (Data Warehouse) development methodologies
  • Experience with Python, Pandas, Databricks, JavaScript, Typescript or other scripting languages
  • Experience with AI tools such as OpenAI, Palantir AIP, Snowflake Cortex, or similar
  • Hands on Experience with design, development of Data Pipelines in Palantir Foundry Pipeline Builder or Code Repository, or similar technologies leveraging PySpark and Spark SQL
  • Familiarity with SDLC processes and architecture review or data governance board processes

In compliance with pay transparency requirements, the salary range for this role in California, Massachusetts, New Jersey, Washington, and the Greater D.C, Denver, or NYC areas is $127,000-$236,500. The salary range for this role in Colorado state, Hawaii, Illinois, Maryland, Minnesota, New York state, and Vermont is $110,500-$205,500. This is not a guarantee of compensation or salary, as final offer amount may vary based on factors including but not limited to experience and geographic location. L3Harris also offers a variety of benefits, including health and disability insurance, 401(k) match, flexible spending accounts, EAP, education assistance, parental leave, paid time off, and company-paid holidays. The specific programs and options available to an employee may vary depending on date of hire, schedule type, and the applicability of collective bargaining agreements.

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