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

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Senior Staff Data Engineer - Python / Google Cloud

Dallas, TX · Remote

$160K - $190K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Senior Staff Data Engineer is a hands-on role and will be the primary architect and technical lead for the data infrastructure powering our next-generation Agentic AI products . Acting as a hands-on ...

Resource Innovations

Energy Engineer

Dallas, TX · Remote

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

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 · On-site +1

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

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

Confie

Data Transformation Engineer

Addison, TX · On-site +1

$130K - $150K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Flexible work options, including remote and hybrid opportunities, if eligible * Retirement Plan ... in data engineering, continuously improving the team's technical knowledge and skills On-call ...

Noblesoft Technologies

Databricks Architect

Dallas, TX · Remote

$66.25 - $87/hr

Remote - Dallas, Texas Role/Responsibilities * Lead the data solutions stream within the program ... Subject Matter Expert (SME) level experience in Cloud Engineering, specifically with Databricks ...

Tapcheck

Data Analyst

Plano, TX · Remote

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

If remote, Ideally, candidates will sit in the following states: AL, AZ, CA, CO, DC, DE, FL, GA, ID ... Lead metric alignment conversations with Data, Product, and Engineering; represent Support ...

NTT DATA Services

Forward-Deployed Engineer, AI GTM

Plano, TX · On-site +1

$121K - $280K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Req ID: 383979 NTT DATA strives to hire exceptional, innovative and passionate individuals who want ... The starting pay range for this remote role is $121,162.00-$280,469.00. This range reflects the ...

NTT DATA Services

Forward-Deployed Engineer, AI GTM

Plano, TX · On-site +1

$121K - $280K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Req ID: 383979 NTT DATA strives to hire exceptional, innovative and passionate individuals who want ... The starting pay range for this remote role is $121,162.00-$280,469.00. This range reflects the ...

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

Remote Data Engineer information

See Forney, TX salary details

$40.1K

$116.9K

$159.9K

How much do remote data engineer jobs pay per year?

As of Aug 15, 2026, the average yearly pay for remote data engineer in Forney, TX is $116,856.00, according to ZipRecruiter salary data. Most workers in this role earn between $103,100.00 and $123,900.00 per year, depending on experience, location, and employer.

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 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.

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 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 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.
More about Remote Data Engineer jobs

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

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

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

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

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

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

Remote Data Engineer jobs near you
Infographic showing various Remote Data Engineer job openings in Forney, TX as of August 2026, with employment types broken down into 1% As Needed, 81% Full Time, 13% Part Time, 4% Contract, and 1% Nights. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $116,856 per year, or $56.2 per hour.

Senior Staff Data Engineer - Python / Google Cloud

Search Solutions

Dallas, TX • Remote

$160K - $190K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 5 days ago

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Job description

Senior Staff Data Engineer is a hands-on role and will be the primary architect and technical lead for the data infrastructure powering our next-generation Agentic AI products. Acting as a hands-on leader, you are responsible for the team’s overall delivery, translating complex product requirements into actionable technical tasks for a small engineering squad. You will design the multi-modal data stores (Vector and Graph) that serve as the "Active Memory" for autonomous agents while remaining deeply embedded in the codebase to drive execution.

Key Responsibilities

● Technical Execution: Lead the technical delivery by translating high-level product roadmaps into actionable development cycles. You will own the task breakdown and manage the workflow to ensure high-quality output from the team

● Strategic Data Architecture: Architect and directly implement multi-modal data pipelines that process structured parts catalogs and unstructured sources (PDFs, Word, PNG/SVG diagrams) into specialized Vector and Graph data stores.

● Knowledge Layer Development: Design and optimize the storage of embeddings in Vector Databases (e.g., Pinecone, ChromaDB, Vertex AI Search) and Graph Databases (e.g., FalkorDB, Neo4j) to enable multi-step agentic reasoning across disparate data sources.

● Agent-Driven Development: Deeply integrate autonomous coding agents into your daily workflow to plan, generate, and refactor data infrastructure and microservices.

● Evaluation Pipelines: Collaborate with AI Engineers to build "Gold Dataset" pipelines used for the automated verification, retrieval quality measurement, and "confidence scoring" of AI outputs.

● Microservices: Develop and maintain scalable data services and RESTful APIs using Python (FastAPI/Django) to provide structured, validated data.

● Cloud Operations: Deploy and monitor high-scale data workloads on GCP (Vertex AI, BigQuery), ensuring system reliability, security, and cost-effectiveness


Skills and Experience


10+ years of Software/Data Engineering experience, with a proven history of leading technical teams.

Proven track record of designing and building production-grade AI data systems.


Technical Stack: Advanced Python (FastAPI, Pydantic, SQLAlchemy) and SQL mastery for building scalable microservices.

AI: Hands-on experience with Vector Databases (Pinecone, ChromaDB), RAG pipelines, and GraphRAG patterns.

Data Tooling: Deep experience with Prefect (preferred) or Apache Airflow or Cloud Composer, BigQuery, and DataProc.

Cloud Infrastructure: Experienced in working with cloud platforms (GCP, AWS) and deploying data workloads and pipelines at scale.

Coding Agent: Demonstrated proficiency in using coding agents to accelerate the SDLC and plan and code complex engineering tasks.