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Remote Azure Data Engineer Jobs in Texas (NOW HIRING)

Senior Data Engineer - INDIA

Prosper, TX · On-site +1

$97K - $131K/yr

Senior Data Engineer Remote Work: INDIA Location: Hyderabad / Noida, INDIA *Only Consultants local ... Experience working with cloud ecosystems (Azure preferred; AWS/GCP acceptable) * Advanced SQL ...

Lead Data Engineer

Irving, TX · On-site +1

$109K - $132K/yr

... Azure) * 5+ years of hands on experience of Python or Java, plus Spark SQL for building data ... Hybrid schedule (3 days in office, 2 days remote) * Work Transparently: You always deal in an ...

Lead Data Engineer

Irving, TX · On-site +1

$109K - $132K/yr

... Azure) * 5+ years of hands on experience of Python or Java, plus Spark SQL for building data ... Hybrid schedule (3 days in office, 2 days remote) * Work Transparently: You always deal in an ...

Data Engineer

Austin, TX · On-site +1

$113K - $136K/yr

As an early hire to our engineering team, you will be responsible for managing Loxo's data ... Progressive culture * 100% flexibility in living and working from anywhere you want * 100% remote ...

Senior Data Engineer

Dallas, TX · On-site +1

$98K - $133K/yr

Azure * Adjacent: Hex, MCP Requirements * 4+ years in data platform engineering. Bonus if you've been a primary builder on a platform from early stages. * Strong Python and SQL. * Hands-on DBT ...

Data Engineer

Dallas, TX · On-site +1

$100K - $120K/yr

Data Engineer REPORTS TO: Director, Engineering SUPERVISES: None JOB CLASS: Exempt Purpose: Data ... General office working conditions can be remote work from home or in the office. Each department ...

Data Engineer

Dallas, TX · On-site +1

$113K - $136K/yr

Engineering ---|--- POSITION: | Data Engineer REPORTS TO: | Director, Engineering SUPERVISES ... General office working conditions can be remote work from home or in the office. Each department ...

Data Engineer

Lewisville, TX · On-site +1

$107K - $128K/yr

Data Engineer Location: Lewisville TX Onsite/ Remote: Day 1 Onsite at customer location Automotive domain Must. Job Functions / Responsibilities · Candidate must have Battery Electric Vehicle ...

Data Engineer

Austin, TX · On-site +1

$113K - $136K/yr

This is a fully remote position. Face to face communication is important to us, so we have ... data engineering * Strong SQL skills * Experience with ETL/ELT techniques * Strong sense for data ...

$109K - $132K/yr

Remote position. Candidates must be based in Mexico, preferably in Monterrey, Nuevo Leon *** Job ... Experience with cloud data migrations to/from Azure, AWS, etc * Exposure to CI/CD pipelines

Sr. Data Engineer

Dallas, TX · Remote

$104K - $142K/yr

Join a National Top Workplace Named a Top Workplace in the USA and Top Remote Workplace, Kobie is ... Cloud experience with Azure and/or AWS. * Comfort working independently across concurrent projects ...

Data Engineer

Dallas, TX · On-site +1

$113K - $136K/yr

Preference is for this to be a hybrid role in Pittsburgh, but we are open to fully remote ... data engineering with strong Python, SQL, and Spark skills * Hands-on experience building and ...

Data Engineer

Dallas, TX · On-site +1

$113K - $136K/yr

Preference is for this to be a hybrid role in Pittsburgh, but we are open to fully remote ... data engineering with strong Python, SQL, and Spark skills * Hands-on experience building and ...

Data Engineer II

Dallas, TX · On-site +1

$113K - $136K/yr

Qualifications: * 3+ years of experience as a Data Engineer (or related role), building and supporting data pipelines in production. * 1+ years of experience with cloud and infrastructure on Azure ...

Senior Data Engineer

Irving, TX · On-site +1

$101K - $138K/yr

... Azure) * 4+ years of hands on experience of Python or Java, plus Spark SQL for building data ... Hybrid schedule (3 days in office, 2 days remote) * Work Transparently: You always deal in an ...

Senior Data Engineer, Data Platform

Austin, TX · On-site +1

$113K - $136K/yr

About the role We're looking for a Senior Data Engineer to join us and work with our client's Data ... Totally remote within the contiguous United States, full-time (40h/week) * Stable, long-term ...

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Remote Azure Data Engineer information

See Texas salary details

$41.5K

$120.9K

$165.4K

How much do remote azure data engineer jobs pay per year?

As of Jun 15, 2026, the average yearly pay for remote azure data engineer in Texas is $120,851.00, according to ZipRecruiter salary data. Most workers in this role earn between $106,700.00 and $128,100.00 per year, depending on experience, location, and employer.

What are some common challenges a Remote Azure Data Engineer might face, and how are they typically addressed?

A common challenge for Remote Azure Data Engineers is ensuring secure, reliable data transfer and integration across distributed systems while collaborating with teams that may be in different time zones. This is typically addressed by implementing best practices for cloud security, employing automated monitoring, and leveraging project management tools to stay aligned with cross-functional teams. Clear, proactive communication is essential in a remote environment, as is documentation to keep everyone updated on project progress. Many organizations also offer regular virtual check-ins and access to knowledge-sharing platforms to foster collaboration. By staying organized and proactive, remote Azure Data Engineers can successfully deliver scalable data solutions in a distributed work setup.

What is a Remote Azure Data Engineer job?

A Remote Azure Data Engineer is responsible for designing, implementing, and managing data solutions using Microsoft Azure cloud services while working from a remote location. They work with tools like Azure Data Factory, Azure SQL Database, and Azure Synapse Analytics to process, store, and analyze data. Their role includes data pipeline development, performance optimization, and ensuring data security. Collaboration with data scientists, analysts, and business teams is common to support data-driven decision-making.

What are the key skills and qualifications needed to thrive in the Remote Azure Data Engineer position, and why are they important?

To thrive as a Remote Azure Data Engineer, you need expertise in designing, implementing, and managing data solutions using Microsoft Azure, along with proficiency in SQL, data warehousing, and ETL processes. Familiarity with tools like Azure Data Factory, Azure SQL Database, Databricks, and certifications such as Microsoft Certified: Azure Data Engineer Associate are highly valued. Strong problem-solving skills, effective communication, and the ability to work autonomously make candidates stand out in this remote role. These skills ensure that data pipelines are robust, secure, and scalable, enabling organizations to make data-driven decisions efficiently.

What are the most commonly searched types of Azure Data Engineer jobs in Texas? The most popular types of Azure Data Engineer jobs in Texas are:
What are popular job titles related to Remote Azure Data Engineer jobs in Texas? For Remote Azure Data Engineer jobs in Texas, the most frequently searched job titles are:
What job categories do people searching Remote Azure Data Engineer jobs in Texas look for? The top searched job categories for Remote Azure Data Engineer jobs in Texas are:
What cities in Texas are hiring for Remote Azure Data Engineer jobs? Cities in Texas with the most Remote Azure Data Engineer job openings:
Infographic showing various Remote Azure Data Engineer job openings in Texas as of June 2026, with employment types broken down into 57% Full Time, and 43% Contract. Highlights an 100% Remote job distribution, with an average salary of $120,851 per year, or $58.1 per hour.

Data Engineering (Palantir, Spark, PySpark, Python)- W2 Role

CLOUDSCOUTS SOFTWARE SOLUTIONS LLC

Frisco, TX • On-site, Remote

Full-time

Posted 19 days ago


Job description

Job Title: Technical Lead Data Engineering (Palantir, Spark, PySpark, Python)
Please dont apply if you dont have
PALANTIR experience
Onsite work :One or two days in a month
W2 role
OPT with 7 years exp is fine

Job Summary

We are looking for a hands-on Technical Lead in Data Engineering to drive the design, development, and delivery of scalable data solutions in a large retail enterprise. This role requires strong expertise in Palantir Foundry, Spark/PySpark, SQL, and Python, along with the ability to lead engineering teams and partner with business stakeholders across supply chain, merchandising, and store operations.
Key Responsibilities

  • Lead the design and implementation of scalable data platforms and pipelines using PySpark, Spark, and Python
  • Drive adoption and best practices for Palantir Foundry (data pipelines, ontology, workflows, and operational applications)
  • Architect and optimize high-performance data processing solutions for large-scale datasets
  • Provide technical leadership and mentorship to data engineers, ensuring code quality and best practices
  • Collaborate with cross-functional teams (business, analytics, data science) to translate requirements into scalable solutions
  • Design robust data models, ETL/ELT frameworks, and data integration strategies
  • Ensure data quality, governance, security, and compliance across enterprise data platforms
  • Lead performance tuning, troubleshooting, and optimization of data pipelines
  • Drive CI/CD implementation, code reviews, and release management
  • Stay current with emerging data engineering technologies and recommend improvements
Required Qualifications

  • Bachelors or Masters degree in Computer Science, Engineering, or related field
  • 8+ years of experience in data engineering, with at least 23 years in a technical leadership role
  • Strong hands-on experience with:
    • Python & PySpark
    • Apache Spark
    • Advanced SQL
  • Experience with Palantir Foundry or similar modern data platforms
  • Deep understanding of data engineering principles (ETL/ELT, data modeling, distributed systems)
  • Experience designing and managing large-scale data architectures
  • Strong leadership, communication, and stakeholder management skills
Preferred Qualifications

  • Experience in retail domain (supply chain, inventory, merchandising, store analytics)
  • Experience with cloud platforms (Azure, AWS, or GCP)
  • Familiarity with orchestration tools (Airflow, Azure Data Factory, etc.)
  • Experience with real-time/streaming data pipelines
  • Exposure to DevSecOps practices
Key Skills

  • Technical Leadership
  • Data Engineering Architecture
  • PySpark & Spark
  • Python Programming
  • SQL Optimization
  • Palantir Foundry
  • Data Modeling & Warehousing
  • CI/CD & DevOps

Flexible work from home options available.