ZipRecruiter

Log In

2

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

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.

Billee Technologies, Inc

Senior Data Engineer

Dallas, TX · On-site +1

$98K - $133K/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 ...

Amazon

Big Data Engineer II

Dallas, TX · Remote

$55.25 - $73/hr

The Opportunity We're seeking a passionate Data Engineer to architect and extend our processing framework for next-generation revenue data products. In this high-impact role, you'll: Build scalable ...

Amazon

Big Data Engineer II

Dallas, TX · Remote

$55.25 - $73/hr

The Opportunity We're seeking a passionate Data Engineer to architect and extend our processing framework for next-generation revenue data products. In this high-impact role, you'll: Build scalable ...

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 ...

Paychex

Data Solutions Engineer

Irving, TX · On-site +1

$91K - $156K/yr

Overview The Data Solutions Engineer will play a key role in integrating, architecting, and optimizing data systems to support data monetization, analytics, machine learning, artificial intelligence ...

next page

Showing results 1-20

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

Remote Data Engineer information

See Addison, TX salary details

$43.1K

$125.6K

$171.8K

How much do remote data engineer jobs pay per year?

As of Jul 15, 2026, the average yearly pay for remote data engineer in Addison, TX is $125,573.00, according to ZipRecruiter salary data. Most workers in this role earn between $110,800.00 and $133,100.00 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 Addison, TX? The most popular types of Data Engineer jobs in Addison, TX are:
What are popular job titles related to Remote Data Engineer jobs in Addison, TX? For Remote Data Engineer jobs in Addison, TX, the most frequently searched job titles are:
What job categories do people searching Remote Data Engineer jobs in Addison, TX look for? The top searched job categories for Remote Data Engineer jobs in Addison, TX are:
What cities near Addison, TX are hiring for Remote Data Engineer jobs? Cities near Addison, TX with the most Remote Data Engineer job openings:
Remote Data Engineer jobs near you

Senior Data Engineer

Billee.AI

Dallas, TX • Remote

$108K - $147K/yr

Full-time

Re-posted 2 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

Powered by JazzHR

bIz9RplNLW