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Astrophysics Remote Jobs in Raleigh, NC (NOW HIRING)

Lead Data Engineer

Raleigh, NC · Remote

$111K - $133K/yr

Overview This is a remote role that may only be hired in the following location(s): North Carolina ... Airflow, Astronomer, or equivalent cloud-native data engineering technologies. * Advanced ...

Senior Data Engineer

Raleigh, NC · Remote

$103K - $140K/yr

Overview This is a remote role that may only be hired in the following location(s): North Carolina ... Astronomer or equivalent cloud-native data engineering technologies. * Experience with data ...

Senior Data Engineer

Raleigh, NC · Remote

$103K - $140K/yr

Overview This is a remote role that may only be hired in the following location(s): North Carolina ... Astronomer or equivalent cloud-native data engineering technologies. * Experience with data ...

Lead Data Engineer

Raleigh, NC · Remote

$111K - $133K/yr

Overview This is a remote role that may only be hired in the following location(s): North Carolina ... Airflow, Astronomer, or equivalent cloud-native data engineering technologies. * Advanced ...

Astrophysics Remote information

See Raleigh, NC salary details

$14

$19

$24

How much do astrophysics remote jobs pay per hour?

As of Aug 1, 2026, the average hourly pay for astrophysics remote in Raleigh, NC is $19.29, according to ZipRecruiter salary data. Most workers in this role earn between $16.83 and $21.49 per hour, depending on experience, location, and employer.

What is the difference between Astrophysics Remote vs Astrophysics Research Assistant?

AspectAstrophysics RemoteAstrophysics Research Assistant
Required CredentialsMaster's or PhD in Astrophysics or related fieldBachelor's or Master's in Astrophysics or Physics
Work EnvironmentRemote, often independentLaboratory or university campus, sometimes remote
Employer & Industry UsageUniversities, research institutes, space agenciesUniversities, research labs, observatories
Common Search & Comparison IntentRemote astrophysics roles, online astrophysics jobsResearch assistant positions in astrophysics

Astrophysics Remote roles typically involve independent research, data analysis, and collaboration with institutions remotely, often requiring advanced degrees. Astrophysics Research Assistants usually work in labs or on-site at universities, assisting with experiments and data collection. Both roles are integral to astrophysics research but differ mainly in work environment and experience level.

What are some common challenges faced by remote astrophysicists, and how can they be addressed?

Remote astrophysicists often encounter challenges such as limited access to on-site observatory equipment and difficulties in real-time collaboration with global teams. These can be addressed by leveraging advanced remote access software for telescope data, participating in regular virtual meetings, and utilizing cloud-based platforms for data sharing and analysis. Building strong communication habits and aligning with team schedules across different time zones are also essential for success in a remote astrophysics role.

What is astrophysics remote work?

Astrophysics remote work involves conducting research, data analysis, and collaboration in the field of astrophysics from a location outside of a traditional observatory or research institution, often from home. Remote astrophysicists use computer simulations, analyze data from telescopes and satellites, and collaborate with other scientists online. This type of work relies heavily on strong computational skills, access to data archives, and communication tools for virtual teamwork. It can involve tasks such as modeling cosmic phenomena, publishing findings, and teaching or mentoring students remotely.

What are the key skills and qualifications needed to thrive as an Astrophysicist working remotely, and why are they important?

To thrive as a remote Astrophysicist, you need a strong background in physics, mathematics, and astronomy, typically supported by an advanced degree (Ph.D.) in astrophysics or a related field. Proficiency with data analysis software (like Python, MATLAB), astronomical databases, and remote access to observatory systems is essential. Excellent problem-solving, self-motivation, and clear written communication are vital soft skills for independent research and collaboration with global teams. These skills and qualities are crucial for conducting innovative research, analyzing complex data, and contributing effectively to the scientific community from a remote setting.
What are popular job titles related to Astrophysics Remote jobs in Raleigh, NC? For Astrophysics Remote jobs in Raleigh, NC, the most frequently searched job titles are:
What job categories do people searching Astrophysics Remote jobs in Raleigh, NC look for? The top searched job categories for Astrophysics Remote jobs in Raleigh, NC are:
What cities near Raleigh, NC are hiring for Astrophysics Remote jobs? Cities near Raleigh, NC with the most Astrophysics Remote job openings:
Infographic showing various Astrophysics Remote job openings in Raleigh, NC as of July 2026, with employment types broken down into 11% Locum Tenens, 38% As Needed, 20% Full Time, 17% Part Time, 13% Nights, and 1% Summer. Highlights an 60% Physical, 1% Hybrid, and 39% Remote job distribution, with an average salary of $40,133 per year, or $19.3 per hour.

$111K - $133K/yr

Full-time

Posted 24 days ago


First Citizens Bank rating

7.4

Company rating: 7.4 out of 10

Based on 106 frontline employees who took The Breakroom Quiz

109th of 170 rated banks


Job description

Overview

This is a remote role that may only be hired in the following location(s): North Carolina, Arizona, Texas and Florida.

We are seeking an experienced Lead Data Engineer to join our Data Platform Engineering Organization and lead the design, development, and modernization of enterprise data platforms that power analytics, reporting, business intelligence, and operational decision-making across the organization.

The ideal candidate is a hands-on data engineering leader with expertise in cloud-based data platforms, data warehousing, ETL/ELT development, and modern data engineering practices. This individual will be responsible for delivering scalable data solutions utilizing AWS Services, Snowflake, dbt, Python, SQL, and related technologies while mentoring team members and driving engineering excellence.
As part of our growing Cloud Data and AI Platform organization, you will lead and collaborate with a talented team of engineers, product partners, and business stakeholders to deliver enterprise data products and cloud-based data solutions. This role offers the opportunity to mentor engineering talent, drive engineering best practices, and support the adoption of modern data engineering capabilities across the organization.


Responsibilities

The successful candidate will have experience working in large enterprise environments and partnering with cross-functional teams to deliver trusted data products that support strategic business objectives.

  • Lead the design, development, and implementation of enterprise data solutions utilizing AWS Services, Snowflake, dbt, Python, SQL, and related cloud technologies.
  • Develop and support data warehouses, Operational Data Stores (ODS), and ETL/ELT pipelines that enable analytics, reporting, and operational data capabilities.
  • Design and implement batch and real-time data processing solutions using modern streaming and event-driven architectures.
  • Partner with business stakeholders, analysts, and technology teams to translate business requirements into scalable data solutions.
  • Define and promote data quality strategies, testing standards, governance practices, and compliance controls across the data platform lifecycle.
  • Establish enterprise testing practices, including data validation frameworks, dbt testing standards, and quality controls to support trusted data products.
  • Define monitoring, observability, and operational reliability standards, including dashboards, alerts, service-level objectives (SLOs), and service-level agreements (SLAs) for enterprise data platforms.
  • Establish deployment strategies, environment promotion standards, and release governance practices that support secure and reliable delivery across enterprise data platforms.
  • Contribute to technical discussions, peer reviews, and knowledge-sharing initiatives across the data engineering team.
  • Leverage AI-powered development and productivity tools to accelerate solution delivery, improve code quality, and enhance engineering productivity

Qualifications

Bachelor's Degree and 6 years of experience in Data Engineering, Data Warehousing, Cloud Data Platforms, or related technology disciplines.

OR

High School Diploma or GED and 10 years of experience in the same areas.

Preferred Qualifications

  • Advanced experience with cloud platforms such as AWS, Azure, or GCP.
  • Advanced experience with modern data warehousing and large-scale data processing technologies such as Snowflake, Spark, or equivalent platforms.
  • Advanced proficiency in Python and SQL.
  • Advanced experience designing, developing, orchestrating, and supporting ETL/ELT pipelines and data integration solutions using tools such as dbt, Apache Airflow, Astronomer, or equivalent cloud-native data engineering technologies.
  • Advanced experience with data modeling, data warehousing, and data engineering best practices.
  • Experience designing, developing, and supporting scalable, reliable, and high-performing data engineering solutions in enterprise environments.
  • Experience collaborating with business and technology stakeholders to deliver data-driven solutions.
  • Strong analytical, problem-solving, and communication skills.
Following qualifications are a plus
  • Advanced experience with enterprise ETL/ELT tools such as DataStage, SAP BODS, SSIS, Informatica, or equivalent technologies.
  • Experience developing and supporting Operational Data Stores (ODS), analytics platforms, and data products.
  • Experience with Snowflake Cortex, Change Data Capture (CDC), streaming, and real-time data ingestion technologies including Kafka, Amazon Kinesis, Qlik Replicate, Snow pipe Streaming, or equivalent platforms.
  • Experience integrating data across AWS, on-premises, and Snowflake environments, with exposure to enterprise security, governance, and compliance frameworks.
  • Experience with Data Vault modeling and modern data warehousing methodologies.
  • Experience leading technical initiatives, mentoring team members, and promoting engineering best practices.
  • Experience within Financial Services, Banking, or other highly regulated industries.
  • Familiarity with Tableau, Power BI, or other analytics and visualization platforms.
  • Experience using AI-powered development and productivity tools to improve engineering efficiency and delivery outcomes.
  • AWS Certified Data Engineer – Associate, AWS Certified Solutions Architect – Associate or Professional, SnowPro Core Certification, SnowPro Advanced Data Engineer Certification, or equivalent cloud and data platform certifications.

#LI-JM1

Benefits are an integral part of total rewards and First Citizens Bank is committed to providing a competitive, thoughtfully designed and quality benefits program to meet the needs of our associates. More information can be found at https://jobs.firstcitizens.com/benefits.

Qualifications:

Bachelor's Degree and 6 years of experience in Data Engineering, Data Warehousing, Cloud Data Platforms, or related technology disciplines.

OR

High School Diploma or GED and 10 years of experience in the same areas.

Preferred Qualifications

  • Advanced experience with cloud platforms such as AWS, Azure, or GCP.
  • Advanced experience with modern data warehousing and large-scale data processing technologies such as Snowflake, Spark, or equivalent platforms.
  • Advanced proficiency in Python and SQL.
  • Advanced experience designing, developing, orchestrating, and supporting ETL/ELT pipelines and data integration solutions using tools such as dbt, Apache Airflow, Astronomer, or equivalent cloud-native data engineering technologies.
  • Advanced experience with data modeling, data warehousing, and data engineering best practices.
  • Experience designing, developing, and supporting scalable, reliable, and high-performing data engineering solutions in enterprise environments.
  • Experience collaborating with business and technology stakeholders to deliver data-driven solutions.
  • Strong analytical, problem-solving, and communication skills.
Following qualifications are a plus
  • Advanced experience with enterprise ETL/ELT tools such as DataStage, SAP BODS, SSIS, Informatica, or equivalent technologies.
  • Experience developing and supporting Operational Data Stores (ODS), analytics platforms, and data products.
  • Experience with Snowflake Cortex, Change Data Capture (CDC), streaming, and real-time data ingestion technologies including Kafka, Amazon Kinesis, Qlik Replicate, Snow pipe Streaming, or equivalent platforms.
  • Experience integrating data across AWS, on-premises, and Snowflake environments, with exposure to enterprise security, governance, and compliance frameworks.
  • Experience with Data Vault modeling and modern data warehousing methodologies.
  • Experience leading technical initiatives, mentoring team members, and promoting engineering best practices.
  • Experience within Financial Services, Banking, or other highly regulated industries.
  • Familiarity with Tableau, Power BI, or other analytics and visualization platforms.
  • Experience using AI-powered development and productivity tools to improve engineering efficiency and delivery outcomes.
  • AWS Certified Data Engineer – Associate, AWS Certified Solutions Architect – Associate or Professional, SnowPro Core Certification, SnowPro Advanced Data Engineer Certification, or equivalent cloud and data platform certifications.

#LI-JM1

Benefits are an integral part of total rewards and First Citizens Bank is committed to providing a competitive, thoughtfully designed and quality benefits program to meet the needs of our associates. More information can be found at https://jobs.firstcitizens.com/benefits.

Education:UNAVAILABLEEmployment Type: FULL_TIME

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