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Data Engineer Remote Pst Jobs (NOW HIRING)

Associate Data Engineer (REMOTE)

Worcester, MA · On-site +1

$114K - $137K/yr

Our Enterprise Data and Analytics group is currently seeking an Associate Data Engineer to join our growing team in our Worcester, MA office or remote work arrangement. This is a full-time, exempt ...

Associate Data Engineer (REMOTE)

Worcester, MA · On-site +1

$114K - $137K/yr

Our Enterprise Data and Analytics group is currently seeking an Associate Data Engineer to join our growing team in our Worcester, MA office or remote work arrangement. This is a full-time, exempt ...

Data Engineer

Irvine, CA · Remote

$123K - $148K/yr

Must reside in PST time zone! Job Overview We are seeking a skilled Data Engineer with 3-5 years of ... Remote

Senior Data Engineer - AI/ML

$117K - $140K/yr

Title: Sr Data Engineer Remote Required Skills & Qualifications • Strong experience in data engineering, ETL (preferably Informatica), and data architecture • Experience working with Salesforce ...

Microsoft Fabric ___ 100% REMOTE __W2 Role

$36.50 - $41/hr

I have an opportunity for " Microsoft Fabric Data Engineer ___ REMOTE " and I am looking for a candidate who can join Immediately if you are interested, reply to me with your updated resume or if you ...

Data Engineer

$105K - $120K/yr

Data Engineer Remote/ Occasional Onsite in DC area | NCR Support as Required | Secret with TS Eligible If you want to apply enterprise data engineering expertise to support a varied portfolio of ...

... data scientists and partners. You will work closely with experimental scientists, device engineers, and software and operations teams to deliver solutions to further precision oncology. You will be ...

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 Florida based healthcare client is seeking a highly skilled Senior Data Engineer to lead the next phase ...

Manager, Data Engineer (Remote)

Home, PA · Remote

$100K - $174K/yr

Own end-to-end data engineering delivery across the project lifecycle. * Build strong partnerships across the organization to align priorities anddeliverdata-related goals. * Design clear, analytics ...

Own end-to-end data engineering delivery across the project lifecycle. * Build strong partnerships across the organization to align priorities anddeliverdata-related goals. * Design clear, analytics ...

Own end-to-end data engineering delivery across the project lifecycle. * Build strong partnerships across the organization to align priorities anddeliverdata-related goals. * Design clear, analytics ...

Senior Data Engineer - Remote

$108K - $147K/yr

Genesis10 is currently seeking a Senior Data Engineer for a remote position with an investment management firm located in New York, NY. In this role, you'll contribute to a range of projects, from ...

Data Analyst II 100% Remote PST work Remaining Positions: 1 Duties: * Provide analytic data to support our annual sales planning including quota planning, go-to-market modeling, capacity modeling and ...

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Data Engineer Remote Pst information

See salary details

$44.5K

$129.7K

$177.5K

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

As of Jun 7, 2026, the average yearly pay for data engineer remote pst 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 Data Engineer Remote Pst vs Data Analyst Remote Pst?

AspectData Engineer Remote PstData Analyst Remote Pst
Required CredentialsBachelor's in CS, Engineering, or related; SQL, Python, cloud certificationsBachelor's in Statistics, Math, or related; SQL, Excel, visualization tools
Work EnvironmentRemote, collaborative teams, cloud platformsRemote, data reporting, visualization tasks
Employer & Industry UsageTech, finance, healthcare companiesMarketing, retail, finance sectors
Common Search & Comparison IntentUnderstanding role differences, job requirementsClarifying responsibilities, skills needed

While both roles work remotely and involve data, Data Engineers focus on building data pipelines and infrastructure, requiring programming and cloud skills. Data Analysts interpret data, create reports, and visualize insights, often with less emphasis on coding. Understanding these differences helps job seekers target the right roles based on skills and career goals.

What is a Data Engineer (Remote PST)?

A Data Engineer (Remote PST) is a professional who designs, builds, and maintains data pipelines and infrastructure, enabling organizations to store, process, and analyze large volumes of data. Working remotely and aligned with the Pacific Standard Time (PST) zone, these engineers collaborate with data scientists, analysts, and other stakeholders to ensure data is accessible, reliable, and optimized for performance. Their responsibilities often include data integration, database management, ETL (Extract, Transform, Load) processes, and ensuring data security and compliance.

What are the key skills and qualifications needed to thrive as a Data Engineer (Remote, PST), and why are they important?

To thrive as a Data Engineer (Remote, PST), you need strong skills in SQL, data modeling, ETL processes, and a relevant degree in computer science or a related field. Experience with cloud platforms like AWS or Azure, familiarity with big data tools such as Spark or Hadoop, and certifications like Google Cloud Professional Data Engineer are highly valued. Excellent problem-solving, communication, and time management skills are essential for collaborating remotely and delivering reliable data solutions. These abilities ensure efficient data pipeline development and maintenance, driving accurate analytics and supporting business decision-making across distributed teams.

How do remote Data Engineers working in the PST time zone typically collaborate with cross-functional teams located in different time zones?

Remote Data Engineers on PST often work closely with data scientists, analysts, and software engineers who may be spread across various time zones. Effective collaboration usually involves leveraging tools like Slack, Jira, and video conferencing to maintain clear communication and track project progress asynchronously. Scheduling regular meetings during overlapping hours helps ensure alignment, while thorough documentation and proactive status updates are essential to keep everyone informed. Flexibility and strong organizational skills are key to managing these cross-team interactions smoothly.
Infographic showing various Data Engineer Remote Pst job openings in the United States as of May 2026, with employment types broken down into 97% Full Time, and 3% Contract. Highlights an 71% Physical, 5% Hybrid, and 24% Remote job distribution, with an average salary of $129,716 per year, or $62.4 per hour.

$117K - $140K/yr

Other

Posted 29 days ago


Job description

Lead Data Engineer
Remote must be in USA

Skill Set: Pyspark, Python, AWS, GIS, Palantir Foundry
Need a SME in Python coding (Data structures and algorithms)
Responsibilities
• Develop and enhance data-processing, orchestration, monitoring, and more by leveraging popular open-source software, AWS, and GitLab automation.
• Collaborate with product and technology teams to design and validate the capabilities of the data platform
• Identify, design, and implement process improvements: automating manual processes, optimizing for usability, re-designing for greater scalability
• Provide technical support and usage guidance to the users of our platform's services.
• Drive the creation and refinement of metrics, monitoring, and alerting mechanisms to give us the visibility we need into our production services.
Qualifications
• Experience building and optimizing data pipelines in a distributed environment
• Experience supporting and working with cross-functional teams
• Proficiency working in Linux environment
• 5+ years of advanced working knowledge of SQL, Python, and PySpark
• Knowledge on Palantir
• Experience using tools such as: Git/Bitbucket, Jenkins/CodeBuild, CodePipeline
• Experience with platform monitoring and alerts tools