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

Flowserve

Data Engineer Denodo

Irving, TX · Remote

$109K - $132K/yr

Overview We are looking for a Senior Denodo Data Engineer with hands-on experience designing, developing, and supporting data virtualization and logical data-management solutions. The ideal candidate ...

Hermitage Infotech

Senior Data Engineer

Dallas, TX · On-site +1

$104K - $142K/yr

Senior Data Engineer Location: Dallas, TX or Mountain View, CA Duration: Long Term Contract As part of the Mail Analytics Data Engineering team, you will be working on large-scale batch pipelines ...

MSCI

Financial Data Engineer

Addison, TX · On-site +1

$85K - $111K/yr

The global reference data team consists of highly motivated, multi-talented and experienced technology developers with broad content backgrounds working in a fast paced and results-oriented Agile ...

Scalepex

AWS Data Engineer - Fully Remote - US Only

Plano, TX · On-site +1

$109K - $131K/yr

About the Role We are seeking an experienced AWS Data Engineer with a strong background in building scalable data solutions and expertise in utilities-related datasets. The ideal candidate will have ...

Scalepex

AWS Data Engineer - Fully Remote - US Only

Plano, TX · Remote

$109K - $131K/yr

About the Role We are seeking an experienced AWS Data Engineer with a strong background in building scalable data solutions and expertise in utilities-related datasets. The ideal candidate will have ...

Scalepex

AWS Data Engineer - Fully Remote - US Only

Plano, TX · Remote

$117K - $140K/yr

About the Role We are seeking an experienced AWS Data Engineer with a strong background in building scalable data solutions and expertise in utilities-related datasets. The ideal candidate will have ...

SmartIPlace

Data Engineer (Manager Level)

Dallas, TX · Remote

$65 - $70/hr

The Data Engineer is responsible for: · Designing, developing, and maintaining the infrastructure and systems required for data storage, processing, and analysis. · Play a crucial role in building ...

Billee.AI

Senior Data Engineer

Dallas, TX · Remote

$108K - $147K/yr

Senior Data Engineer At Billee , we're building the next generation of utility billing. Our goal is simple: make a complex, manual, and fragmented process feel seamless, transparent, and intelligent.

Lantern

Senior Data Engineer

Dallas, TX · On-site +1

$104K - $142K/yr

Lantern is looking for a Senior Data Engineer to join our Data Engineering team. The ideal candidate will have an advanced knowledge of building Data Pipelines, batch processing frameworks, and Data ...

Resource Innovations

Energy Engineer

Dallas, TX · On-site +1

Responsibilities may include remote data analysis, desktop engineering review, savings calculations, measure validation, economic analysis, incentive review, field investigation, and documentation of ...

Resource Innovations

Energy Engineer

Dallas, TX · Remote

Responsibilities may include remote data analysis, desktop engineering review, savings calculations, measure validation, economic analysis, incentive review, field investigation, and documentation of ...

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Showing results 21-40

All JobsData Engineer JobsRemote Data Engineer JobsRemote Data Engineer Jobs in Keller, TX

Remote Data Engineer information

See Keller, TX salary details

$40.4K

$117.8K

$161.2K

How much do remote data engineer jobs pay per year?

As of Sep 6, 2026, the average yearly pay for remote data engineer in Keller, TX is $117,808.00, according to ZipRecruiter salary data. Most workers in this role earn between $104,000.00 and $124,900.00 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.
More about Remote Data Engineer jobs

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

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

What job categories do people searching Remote Data Engineer jobs in Keller, TX look for?

The top searched job categories for Remote Data Engineer jobs in Keller, TX are:

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

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

Remote Data Engineer jobs near you
Infographic showing various Remote Data Engineer job openings in Keller, TX as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 14% Part Time, and 3% Contract. Highlights an 84% Physical, 5% Hybrid, and 11% Remote job distribution, with an average salary of $117,808 per year, or $56.6 per hour.

Data Engineer Denodo

Flowserve

Irving, TX • Remote

$109K - $132K/yr

Full-time

Posted 16 days ago

Flowserve rating

8.0

Company rating: 8.0 out of 10

Based on 57 frontline employees who took The Breakroom Quiz

182nd of 499 rated machine equipment manufacturers

Job description

Overview

We are looking for a Senior Denodo Data Engineer with hands-on experience designing, developing, and supporting data virtualization and logical data-management solutions. The ideal candidate should have 5-7 years of experience with data-engineering skills, practical Denodo experience, and exposure to comparable data-virtualization, federated-query, and modern cloud data platforms.

This role will focus on delivering scalable, reusable, secure, and high-performing data services for analytics, reporting, operational use cases, and AI-enabled solutions.

Experience with Denodo is strongly preferred. Candidates with relevant experience in comparable tools will also be considered, particularly where that experience demonstrates transferable skills in data federation, data integration, semantic modeling, governance, and performance optimization.

Responsibilities
  • Design, develop, and support virtual data views, logical data models, and governed data services using Denodo.
  • Build reusable semantic and logical data layers to enable consistent, self-service access to trusted enterprise data.
  • Develop and optimize data-integration and data-virtualization solutions for analytics, reporting, operational, and AI use cases.
  • Integrate Denodo with enterprise applications, databases, APIs, cloud services, files, and modern data platforms.
  • Connect and model data from enterprise source systems such as SAP, Oracle, Salesforce, SQL Server, and other structured and semi-structured sources.
  • Write, optimize, and maintain SQL queries, virtual views, transformations, and data services.
  • Support query optimization, caching strategies, performance tuning, troubleshooting, and root-cause analysis.
  • Collaborate with data architects, data engineers, analysts and business teams to gather requirements and deliver scalable solutions.
  • Apply data governance, security, privacy, access-control, and data-quality practices within Denodo and connected platforms.
  • Document technical designs, logical and physical data models, source-to-target mappings, implementation details, and operational runbooks.
Required Technical Skills
  • Hands-on experience with Denodo, including development and support of virtual data views, data services, logical data models, and integrations.
  • Experience with data virtualization, federated queries, logical data layers, semantic modeling, or data-service development.
  • Experience with one or more comparable technologies, such as:
    • Collibra or Microsoft Purview
    • Microsoft Fabric
    • Azure Synapse Analytics
    • Databricks
    • Snowflake
  • Strong understanding of data integration, ETL/ELT, data pipelines, data warehousing, lakehouse, and analytics concepts.
  • Experience working with relational, structured, and semi-structured data, including SQL, JSON, XML, CSV, Parquet, and API-based data.
  • Familiarity with cloud data ecosystems, preferably Microsoft Azure.
  • Experience using source control and CI/CD tools such as Git and Azure DevOps.
Preferred / Nice-to-Have Skills
  • Experience in Metadata Management Tools
  • Experience integrating Denodo with Microsoft Fabric, Power BI, Azure services, Databricks, Snowflake, or enterprise data warehouses.
  • Experience implementing Denodo caching, delegation, optimizer configuration, and workload-performance tuning.
Certifications - Nice to Have
  • Denodo Certified Developer/Administrator or other current Denodo certification.

What Flowserve employees say

Pay

Benefits

Hours and flexibility

Workplace

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About Flowserve

Sourced by ZipRecruiter

If a culture of excellence, innovation and ownership is what you're searching for, consider putting your experience in motion at Flowserve. As an individual contributor, or as a leader of people, your enterprise mindset will ensure Flowserve's position as the global standard in comprehensive flow control solutions. Here, your opportunity for professional development and industry leading rewards will be supported by our foundational commitments to the values of people first, integrity and safety. Thinking beyond opportunity and reward, at Flowserve, we are inspired by working together to create extraordinary flow control solutions to make the world better for everyone! Flowserve Corporation is a multinational company, and one of the largest suppliers of industrial and environmental machinery such as pumps, valves, end face mechanical seals, automation, and services to the power, oil, gas, chemical and other industries. Flowserve offers competitive pay, annual bonuses, medical benefits on day 1, generous paid vacation time, paid holidays, pension plan, 401(k) and many other excellent benefits. NOTE: Drop the last paragraph

Industry

Manufacturing

Company size

10,000+ Employees

Headquarters location

Irving, TX, US

Year founded

1997

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