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Remote Entry Level Data Engineering Jobs in Allen, TX

Data Engineer

Frisco, TX · On-site +1

$107K - $128K/yr

Continuously learn and adopt new technologies and engineering practices to improve platform ... Travel: While this is a remote position, occasional travel to Humana's offices for training or ...

New

Data Engineer

Frisco, TX · On-site +1

$107K - $128K/yr

Continuously learn and adopt new technologies and engineering practices to improve platform ... Travel: While this is a remote position, occasional travel to Humana's offices for training or ...

New

Data Engineer

Frisco, TX · On-site +1

$107K - $128K/yr

Continuously learn and adopt new technologies and engineering practices to improve platform ... Travel: While this is a remote position, occasional travel to Humana's offices for training or ...

New

"DATA ENGINEER"

Dallas, TX · Remote

$117K - $140K/yr

Lead Data Engineer & Sr. Data Engineer Location: Remote Duration: CTH/FTE Type: Only W2 Note: Client have two roles and One role is a Lead role and a contract to hire. Must be a Visa Independent ...

Databricks Data Engineer

Plano, TX · Remote

$109K - $131K/yr

Remote Duration: 12+ months with possible extension Required skills: Data Engineer & Databricks, BI Designer, Python, SQL skills Our work is more focused on analysis, problem-solving, and requirement ...

Posted today

Position: Entry-Level Manager - Leadership Development Track (Remote) If you're driven, coachable ... data and help your team strategize for success Organize and lead virtual training and onboarding ...

PBM Data Analyst I - REMOTE Role And Responsibilities The PBM Data Analyst I at Liviniti is ... Partner with IT and data engineering teams to understand data pipelines, data models, source-to ...

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Showing results 1-20

Remote Entry Level Data Engineering information

See Allen, TX salary details

$41.4K

$120.7K

$165.1K

How much do remote entry level data engineering jobs pay per year?

As of Sep 13, 2026, the average yearly pay for remote entry level data engineering in Allen, TX is $120,659.00, according to ZipRecruiter salary data. Most workers in this role earn between $106,500.00 and $127,900.00 per year, depending on experience, location, and employer.

What is a remote entry level data engineer?

A remote entry level data engineer is a professional who works from a location outside of a traditional office setting to help design, build, and maintain the data infrastructure and pipelines needed for organizations to collect and analyze data. These roles are suitable for individuals new to the field, often requiring foundational knowledge in programming, databases, and data processing tools. Entry level data engineers typically work under the guidance of more experienced team members and focus on tasks such as data cleaning, basic ETL (extract, transform, load) processes, and supporting data integration projects. Working remotely allows for flexibility and collaboration using digital communication tools.

What are the key skills and qualifications needed to thrive as a remote entry level data engineer?

To thrive as a Remote Entry Level Data Engineer, you need a foundational understanding of databases, data modeling, and programming languages such as Python or SQL, often supported by a relevant degree or coursework. Familiarity with cloud platforms (like AWS or Azure), ETL tools, and version control systems (such as Git) is typically required. Strong problem-solving skills, attention to detail, and effective virtual communication are essential soft skills for remote collaboration and troubleshooting. These skills ensure efficient data pipeline development, data integrity, and productive teamwork in distributed engineering environments.

What are some common challenges faced by remote entry level data engineers, and how can they be addressed?

Remote entry level data engineers often face challenges such as limited hands-on mentorship, understanding complex data pipelines, and collaborating across different time zones. To overcome these, it's helpful to proactively communicate with your team, seek feedback regularly, and make use of virtual collaboration tools. Participating in team meetings, asking questions, and accessing available documentation will help you build confidence and stay aligned with project goals.

What is the difference between Remote Entry Level Data Engineering vs Remote Junior Data Analyst?

AspectRemote Entry Level Data EngineeringRemote Junior Data Analyst
Required CredentialsBachelor's in CS, Data Science, or related field; basic SQL and programming skillsBachelor's in related field; proficiency in Excel, SQL, and data visualization tools
Work EnvironmentCollaborative teams, cloud platforms, data pipelinesReporting, data interpretation, dashboards
Industry UsageTech, finance, healthcare, e-commerceMarketing, retail, finance, healthcare

Remote Entry Level Data Engineering focuses on building data pipelines and managing data infrastructure, requiring technical skills like SQL and programming. Remote Junior Data Analysts interpret data, create reports, and support decision-making. While both roles involve working with data remotely, data engineers handle data infrastructure, whereas data analysts focus on analyzing and visualizing data to provide insights.

Can I work remotely as a remote entry level data engineer?

Yes, many entry-level data engineering roles are available as remote positions, especially with the rise of cloud-based tools like AWS, Azure, and GCP. These jobs typically require knowledge of SQL, Python, and data pipeline tools, and often offer flexible schedules for remote work.

What are popular job titles related to Remote Entry Level Data Engineering jobs in Allen, TX?

For Remote Entry Level Data Engineering jobs in Allen, TX, the most frequently searched job titles are:

What job categories do people searching Remote Entry Level Data Engineering jobs in Allen, TX look for?

The top searched job categories for Remote Entry Level Data Engineering jobs in Allen, TX are:

What cities near Allen, TX are hiring for Remote Entry Level Data Engineering jobs?

Cities near Allen, TX with the most Remote Entry Level Data Engineering job openings:

Infographic showing various Remote Entry Level Data Engineering job openings in Allen, TX as of September 2026, with employment types broken down into 3% Internship, 68% Full Time, 12% Part Time, 2% Temporary, and 15% Contract. Highlights an 100% Remote job distribution, with an average salary of $120,659 per year, or $58 per hour.

Data Engineer (Knowledge Graph)

Plano, TX • Remote

$117K - $140K/yr

Contractor

Posted 11 days ago


Job description

Job Title: Data Engineer (Knowledge Graph)

Location: [Remote USA]

Position Overview

We are seeking a skilled Data Engineer with expertise in Knowledge Graphs to design, build, and maintain scalable data pipelines and graph databases. In this role, you will bridge traditional data engineering (ETL/ELT, data modeling, warehouse architecture) with graph technologies to turn complex, interconnected datasets into actionable semantic insights.

Key Responsibilities

  • Graph & Data Modeling: Design and implement graph data models (Property Graph / RDF) to represent complex business domains, entities, and relationships.

  • Pipeline Development: Build, optimize, and maintain robust ETL/ELT pipelines to ingest, transform, and map structured and unstructured data into graph storage systems.

  • Graph Architecture: Manage, query, and optimize graph database solutions (e.g., Neo4j, Amazon Neptune, GraphDB, TigerGraph) using query languages like Cypher, SPARQL, or Gremlin.

  • Data Integration & Quality: Implement entity resolution, link prediction, and data deduplication techniques to maintain high-quality semantic data integration.

  • API & Service Integration: Expose graph data through RESTful or GraphQL APIs for downstream analytics, recommendation systems, search engines, and AI/ML pipelines (including RAG implementations).

  • Cross-Functional Collaboration: Partner with Data Scientists, Software Engineers, and Product Managers to define requirements and deliver graph-powered tools.

Qualifications & Requirements

  • Education: Bachelor’s or Master’s degree in Computer Science, Data Engineering, Information Systems, or a related technical field.

  • Data Engineering Experience: 8+ years of core data engineering experience working with SQL, Python/Scala, big data frameworks (Apache Spark), and cloud platforms (AWS, GCP, or Azure).

  • Graph Technologies: Hands-on experience with graph databases (e.g., Neo4j, Neptune, Stardog, AllegroGraph) and graph query languages (Cypher, SPARQL, or Gremlin).

  • Ontology & Semantics: Understanding of Semantic Web standards (OWL, RDF, SHACL, SKOS) or property graph principles.

  • Data Warehousing & Orchestration: Familiarity with modern data tools like Snowflake, Databricks, dbt, and workflow schedulers like Apache Airflow.

Preferred Skills

  • Experience with Graph Neural Networks (GNNs) or graph analytics algorithms (e.g., PageRank, Community Detection, Shortest Path).

  • Exposure to Retrieval-Augmented Generation (RAG) architecture using GraphRAG techniques for LLM applications.

  • Knowledge of vector databases and embedding generation alongside semantic graphs.

VeeRteq Solutions is an Equal Opportunity Employer