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Remote Azure Data Engineer Jobs in Arlington, TX

Billee.AI

Senior Data Engineer

Dallas, TX · Remote

$108K - $147K/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 ...

MSCI

Financial Data Engineer

Addison, TX · On-site +1

$85K - $111K/yr

Your Key Responsibilities Software Engineering -- architect, design and develop secure, high ... Oracle, SQL Server, Azure SQL, Postgres * Experience with and demonstrated capabilities in big data ...

Photon

Snowflake Developer - ll - Dallas, TX

Dallas, TX · Remote

$113K - $136K/yr

Talend * Azure Data Factory (ADF) * Airflow * dbt Preferred Qualifications * Bachelor's degree in Computer Science, Information Technology, or related field. * 4+ years of experience in Data ...

New

Lantern

Senior Data Engineer

Dallas, TX · On-site +1

$104K - $142K/yr

Qualifications: * 5+ years of experience as a Data Engineer, with a focus on building enterprise data solutions. * 3+ years of experience with cloud and infrastructure on Azure (preferred), AWS, or ...

Protagona

Data Engineer

Dallas, TX · Remote

As a Data Engineer, you will be part of a talented team of engineers responsible for the deployment and configuration of cloud resources to meet individual client business needs in AWS. Client ...

3B Staffing LLC

Lead data engineer

Addison, TX · Remote

Here is the other role Client is OneMain Financial Group This role is a Remote role But the ... Data Engineer will report to the Marketing Technology (MarTech) team and will support the ...

New

3B Staffing LLC

Lead data engineer

Addison, TX · Remote

Here is the other role Client is OneMain Financial Group This role is a Remote role But the ... Data Engineer will report to the Marketing Technology (MarTech) team and will support the ...

New

Horizontal Talent

Data Delivery Manager

Plano, TX · On-site +1

Hands-on understanding of modern data engineering and data platform concepts * Experience working with Snowflake, DBT, Azure Data Factory, Microsoft Fabric, and Azure cloud services * Background ...

System One

AWS / Snowflake Data Engineer

Dallas, TX · Remote

$90.32/hr

Hybrid - onsite and remote Hours: 40.0 Security Clearance: Not specified Overview The Sr. Cloud Data Engineer is responsible for designing, building, and maintaining robust and scalable data ...

System One

AWS / Snowflake Data Engineer

Dallas, TX · Remote

$90.32/hr

Hybrid - onsite and remote Hours: 40.0 Security Clearance: Not specified Overview The Sr. Cloud Data Engineer is responsible for designing, building, and maintaining robust and scalable data ...

System One

AWS / Snowflake Data Engineer

Dallas, TX · Remote

$90.32/hr

Hybrid - onsite and remote Hours: 40.0 Security Clearance: Not specified Overview The Sr. Cloud Data Engineer is responsible for designing, building, and maintaining robust and scalable data ...

System One

AWS / Snowflake Data Engineer

Dallas, TX · Remote

$90.32/hr

Hybrid - onsite and remote Hours: 40.0 Security Clearance: Not specified Overview The Sr. Cloud Data Engineer is responsible for designing, building, and maintaining robust and scalable data ...

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Showing results 21-40

All JobsAzure Data Engineer JobsRemote Azure Data Engineer JobsRemote Azure Data Engineer Jobs in Arlington, TX

Remote Azure Data Engineer information

See Arlington, TX salary details

$40K

$116.7K

$159.7K

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

As of Sep 4, 2026, the average yearly pay for remote azure data engineer in Arlington, TX is $116,737.00, according to ZipRecruiter salary data. Most workers in this role earn between $103,000.00 and $123,700.00 per year, depending on experience, location, and employer.

What is a remote Azure Data Engineer?

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 as a remote Azure Data Engineer?

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 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 are the most commonly searched types of Azure Data Engineer jobs in Arlington, TX?

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

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

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

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

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

Remote Azure Data Engineer jobs near you
Infographic showing various Remote Azure Data Engineer job openings in Arlington, TX as of July 2026, with employment types broken down into 100% Contract. Highlights an 100% Remote job distribution, with an average salary of $116,737 per year, or $56.1 per hour.

Senior Data Engineer

Billee.AI

Dallas, TX • Remote

$108K - $147K/yr

Full-time

Re-posted 24 days ago

Job description

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.

Our intelligence platform turns raw utility and billing data into actionable intelligence and regulatory peace of mind for multifamily property operators. Our platform is past the "greenfield" phase — foundational modeling is underway, our stack is chosen, and the roadmap is set. We're hiring our second dedicated data engineer to partner with our existing data engineer and help us move from foundation to scale.

What you'll work on
  • Reporting & analytics. Contribute to the modeled data and pipelines behind customer-facing reports on consumption, cost, and rate trends.
  • AI-ready data infrastructure. Ingestion, semantic models, storage solutions, and retrieval (SQL, RAG, vector, or graph-based.)
  • Dimensional modeling at the core. Contribute robust facts and dimensions that power analysis us and for our customers.
  • Platform reliability. Own testing, lineage, freshness monitoring, and alerting so data issues are caught before a customer sees them.
  • Cross-team partnership. Translate vague product and compliance questions into concrete models, working directly with engineers, analysts, and PMs.
Our stack
  • Warehouse: MotherDuck / DuckDB
  • Orchestration: Dagster
  • Transformation: DBT
  • Language: Python, SQL
  • Cloud: 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 experience.
  • Dimensional modeling fluency. Star schemas, facts and dimensions
  • Direct experience with our stack is a significant plus. In order of preference:
    • Dagster (asset-based orchestration, sensors, partitions) — strongly preferred over Airflow experience alone
    • DuckDB or MotherDuck — even side-project or exploratory use
  • Comfort analyzing data directly.
Bonus
  • Experience with AI/LLM-adjacent data work: RAG pipelines, embedding stores, evaluation frameworks (e.g. LangSmith or PydanticAI), or knowledge-graph approaches for structured retrieval
  • Azure experience
  • Utility, energy, PropTech, or billing domain background
  • Experience building data products for external customers (not just internal BI)
Who we're looking for
  • Collaborative builder. You turn vague requirements into concrete solutions by asking good questions, not by guessing.
  • Comfortable with ambiguity. Our roadmap shifts; you can prioritize and make progress on incomplete information.
  • Ownership mindset. You treat the platform as a product — monitoring and proactive thinking about future needs
  • Quality advocate. You believe tests, observability, and lineage are features, not overhead.
  • Curious about new tooling. You've been watching the modern data stack evolve and have opinions — about DuckDB, about Dagster vs. Airflow, about where LLMs do and don't belong in data pipelines.
  • No-task-too-small mindset. Small team, lots of surface area. You'll occasionally build a quick report or debug someone else's pipeline

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