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Remote Data Engineer Jobs in Manor, TX (NOW HIRING)

Senior Data Engineer

Austin, TX · Remote

$105K - $142K/yr

Overview This is a remote role that may only be hired in the following location(s): North Carolina, Arizona, Florida and Texas. We are seeking an experienced Senior Data Engineer to join our Data ...

Senior Data Engineer

Austin, TX · Remote

$105K - $142K/yr

Overview This is a remote role that may only be hired in the following location(s): North Carolina, Arizona, Florida and Texas. We are seeking an experienced Senior Data Engineer to join our Data ...

Data Engineer

Austin, TX · On-site +1

$113K - $136K/yr

We are looking for a Data Engineer to take significant ownership in building Monte Carlo's cloud service, data pipelines and ML platform. The role will involve end-to-end development: from helping ...

Data Engineer

Austin, TX · Remote

$117K - $140K/yr

The Opportunity We're looking for a Data / Analytics Engineer to own the data infrastructure that powers Arbor's intelligence layer. You'll be the connective tissue between our production systems and ...

Senior Data Engineer

Austin, TX · Remote

$105K - $142K/yr

We're growing our data engineering team to design and operate the production systems that make our ... Position is remote within US * Minimal travel * Limited physical demands This is an incredible ...

The Opportunity We're looking for a Staff Data Engineer to help shape the future of Honor's data ... We use national average to determine pay as we are a remote first company. Individual pay is based ...

Data Processing Engineer

Austin, TX · On-site +1

$111K - $144K/yr

We are also open to candidates who are remote in the United States, but can travel to our headquarters 1-2 times per quarter* We are looking for a passionate Security Data Analyst/Python Developer to ...

Data Processing Engineer

Austin, TX · On-site +1

$111K - $144K/yr

We are also open to candidates who are remote in the United States, but can travel to our headquarters 1-2 times per quarter* We are looking for a passionate Security Data Analyst/Python Developer to ...

Austin, TX (Remote for Anywhere in Texas) Duration: 3 Years Must have : Oil & Gas Industry Primary ... Partner with enterprise architects and data engineering teams to design efficient ETL/ELT pipelines ...

Showing results 21-40

Remote Data Engineer information

See Manor, TX salary details

$48K

$139.9K

$191.4K

How much do remote data engineer jobs pay per year?

As of Sep 12, 2026, the average yearly pay for remote data engineer in Manor, TX is $139,851.00, according to ZipRecruiter salary data. Most workers in this role earn between $123,400.00 and $148,200.00 per year, depending on experience, location, and employer.

What is a remote data engineer?

A Remote Data Engineer is a professional who designs, builds, and maintains data pipelines, databases, and data processing systems while working from a location outside of a traditional office. They collaborate with data scientists, analysts, and other stakeholders to ensure data is collected, stored, and made accessible efficiently and securely. Remote Data Engineers use programming languages like Python or Scala, work with technologies such as SQL, Hadoop, or cloud platforms, and address challenges related to data quality and scalability. Their remote role allows them to work for companies regardless of geographic location, often relying on virtual collaboration tools to stay connected with their teams.

What does a remote data engineer do?

As a remote data engineer, you focus on collecting, storing, and organizing large amounts of information. You work from home to design, develop, and maintain systems for the mining, warehousing, and processing of data. A data engineer communicates with employers, clients, or other data professionals to assess the needs of the project and develop and implement solutions to meet those needs. Data engineers also take steps to manage current database architecture and make updates when needed. Remote engineers typically handle their responsibilities in a cloud-based environment using “big data” tools, such as Amazon Web Services (AWS) and SQL.

What are the key skills and qualifications needed to thrive as a remote data engineer, and why are they important?

To thrive as a Remote Data Engineer, you need strong programming skills in languages like Python or Scala, expertise in SQL, data modeling, and a background in computer science or a related field. Familiarity with cloud platforms (such as AWS, Azure, or GCP), big data tools (like Hadoop and Spark), and certifications in cloud or data engineering are highly valued. Excellent problem-solving, communication, and self-management skills help remote data engineers collaborate effectively and stay productive in a distributed environment. These competencies ensure reliable data pipelines, scalable solutions, and seamless teamwork, which are critical for organizational success in data-driven projects.

How do remote data engineers typically collaborate with other team members across different time zones?

Remote Data Engineers often work with cross-functional teams, including data scientists, analysts, and software engineers, many of whom may be located in different parts of the world. Collaboration is usually facilitated through project management tools, version control platforms, and regular virtual meetings. It’s common to have a mix of synchronous check-ins and asynchronous communication, allowing for flexible scheduling and efficient handoffs. Strong written communication skills and proactive status updates are essential for staying aligned with team objectives and project deadlines.

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

AspectRemote Data EngineerRemote Data Analyst
Required CredentialsBachelor's in CS, Data Science, or related; SQL, Python, cloud certificationsBachelor's in Statistics, Data Science, or related; SQL, Excel, visualization tools
Work EnvironmentCollaborates with data engineering teams, cloud platforms, big data toolsWorks with business teams, dashboards, reporting tools
Industry UsageTech, finance, healthcare, e-commerceMarketing, finance, retail, healthcare
Common Search IntentBuilding data pipelines, data infrastructureData reporting, insights, visualization

Remote Data Engineers focus on designing and maintaining data pipelines and infrastructure, often requiring programming and cloud skills. Remote Data Analysts interpret data, create reports, and provide insights using visualization tools. While both roles work with data, their responsibilities and skill sets differ, making each suited for different career paths within data teams.

Are remote data engineers still in demand?

Remote data engineers are currently in high demand due to the increasing reliance on data-driven decision making and cloud-based data platforms. Skills in SQL, Python, cloud services, and data pipeline tools are highly sought after, and many organizations continue to hire for remote roles to access a broader talent pool.

Can a remote data engineer work remotely?

Yes, remote data engineers can work remotely, as the role primarily involves managing data pipelines, databases, and cloud-based tools that can be accessed from anywhere with an internet connection. Many companies offer remote positions for data engineers, often requiring skills in SQL, Python, cloud platforms, and data architecture. However, some roles may require occasional on-site presence or specific certifications depending on the employer's policies.

What are the most commonly searched types of Data Engineer jobs in Manor, TX?

The most popular types of Data Engineer jobs in Manor, TX are:

What are popular job titles related to Remote Data Engineer jobs in Manor, TX?

For Remote Data Engineer jobs in Manor, TX, the most frequently searched job titles are:

What cities near Manor, TX are hiring for Remote Data Engineer jobs?

Cities near Manor, TX with the most Remote Data Engineer job openings:

Infographic showing various Remote Data Engineer job openings in Manor, TX as of September 2026, with employment types broken down into 76% Full Time, 6% Part Time, and 18% Contract. Highlights an 100% Remote job distribution, with an average salary of $139,851 per year, or $67.2 per hour.

Senior Data Engineer

Austin, TX • Remote

$105K - $142K/yr

Full-time

Posted 20 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


Job description

Overview

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

We are seeking an experienced Senior Data Engineer to join our Data Platform Engineering Organizationand help build scalable cloud-based data solutions that enable analytics and data-driven decision-making across the organization.

The ideal candidate is a hands-on data engineer with expertise in cloud-based data platforms, data warehousing, ETL/ELT development, and modern data engineering practices. This individual will build and optimize scalable data pipelines, integrations, and data products utilizing AWS Services, Snowflake, dbt, Python, SQL, and related technologies.

As part of our growing Cloud Data & AI Platform organization, you will collaborate with a talented team of engineers, product partners, and business stakeholders to deliver cloud-based data solutions that support critical business initiatives. This is an opportunity to work with modern technologies, solve complex data challenges, and contribute to enterprise-scale data platforms that enable data-driven decision-making across the bank.


Responsibilities & Qualifications

Duties & Responsibilities:

Data Architecture and Strategy - Design and implement scalable, efficient data architectures. Lead the development of data strategy aligned with business objectives. Evaluate and integrate new technologies to enhance data capabilities

Advanced Data Pipeline Development - Architect and implement complex data pipelines for real-time and batch processing. Optimize data flows for high-volume, high-velocity data environments. Develop advanced ETL processes for diverse data sources.

Data Governance and Quality Management - Establish and enforce data governance policies and best practices. Implement data quality frameworks and monitoring systems. Ensure compliance with data regulations and standards

Performance Optimization and Troubleshooting - Analyze and optimize system performance for large-scale data operations. Troubleshoot complex data issues and implement robust solutions

Mentorship and Knowledge Sharing - Mentor junior data engineers and provide technical guidance. Contribute to the development of best practices and standards. Collaborate with cross-functional teams to drive data literacy.

Qualifications:

Bachelor's Degree and 4 years of experience in Data Engineering, Data Warehousing, Cloud Data Platforms, or related technology disciplines.

OR

High School Diploma or GED and 8 years of experience in Data Engineering, Data Warehousing, Cloud Data Platforms, or related technology disciplines.

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 developing and supporting ETL/ELT processes, data pipelines, and data integration solutions utilizing tools such as dbt, Apache Airflow, Astronomer or equivalent cloud-native data engineering technologies.
  • Experience with data modeling, data warehousing, and data engineering best practices.
  • Experience designing, developing, and supporting scalable and reliable 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.

Additional qualifications are a plus

  • Intermediate experience with enterprise ETL/ELT tools such as DataStage, SAP BODS, SSIS, Informatica, or equivalent technologies.
  • Intermediate experience developing and supporting Operational Data Stores (ODS), analytics platforms, and data products.
  • Intermediate experience with Change Data Capture (CDC), streaming, and real-time data ingestion technologies such as Kafka, Amazon Kinesis, Apache Flink, Qlik Replicate, Snow pipe Streaming, or equivalent platforms.
  • Intermediate experience integrating data across cloud and on-premises environments.
  • Experience with Data Vault modeling and modern data warehousing methodologies.
  • Intermediate understanding of data governance, security, compliance, and data quality management practices.
  • Experience working 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 Developer – Associate, SnowPro Core Certification, SnowPro Advanced Data Engineer Certification, or equivalent cloud and data platform certifications.

Additional Information

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:

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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