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Remote Azure Data Engineer Jobs in Georgetown, TX

Meta

Data Engineer, Product Analytics

Austin, TX · On-site +1

$147K/yr

As a Data Engineer at Meta, you will shape the future of people-facing and business-facing products we build across our entire family of applications (Facebook, Instagram, Messenger, WhatsApp ...

FHR

MO3-613-Senior Azure Cloud Engineer 11694-1

Austin, TX · Remote

$57 - $76.25/hr

100% Remote. Our direct client has an opening for a Senior Azure Cloud Engineer 11694-1 This ... I consent to FHR, its affiliates, third parties and partners processing my personal data for these ...

MyHR Partner, Inc

Data Platform Engineer

Austin, TX · On-site +1

$135K - $155K/yr

Are you excited to work with a high-trust, remote-first team committed to service, clarity, and ... Familiar with cloud-native infrastructure (AWS or Azure) * Skilled in observability and performance ...

NTT DATA Services

Lead AWS Public Cloud Engineer

Austin, TX · Remote

$55.25 - $73.75/hr

Be able to support customer remote file service in Azure File Share in Azure Gov Cloud. * Have ... About NTT DATA NTT DATA is a $30 billion trusted global innovator of business and technology ...

NTT DATA Services

Lead AWS Public Cloud Engineer

Austin, TX · Remote

$54.25 - $72.75/hr

Be able to support customer remote file service in Azure File Share in Azure Gov Cloud. * Have ... About NTT DATA NTT DATA is a $30 billion trusted global innovator of business and technology ...

myHR Partner

Data Platform Engineer

Austin, TX · On-site +1

$135K - $155K/yr

Are you excited to work with a high-trust, remote-first team committed to service, clarity, and ... Familiar with cloud-native infrastructure (AWS or Azure) * Skilled in observability and performance ...

MyHR Partner, Inc

Data Platform Engineer

Austin, TX · On-site +1

Are you excited to work with a high-trust, remote-first team committed to service, clarity, and ... Familiar with cloud-native infrastructure (AWS or Azure) * Skilled in observability and performance ...

Travis County, TX

Systems Analyst Sr

Austin, TX · On-site +1

$80K - $129K/yr

Experience with SSRS, SSIS, Power BI, Power Automate, Azure Data Factory. Strong communication ... Software engineering and the software development lifecycle. * Relational databases, database ...

Visa

Staff Site Reliability Engineer

Austin, TX · On-site +1

$131K/yr

... Azure infrastructure implementation, systems design, networking, databases, and modern data ... A remote position does not require job duties be performed within proximity of a Visa office ...

Aprio

Lead Engineer (Azure)

Austin, TX · On-site +1

$98K - $132K/yr

Data Protection : Purview, DLP, Sensitivity Labels, DSPM * Cloud Security : Azure Defender for ... remote and hybrid options What's in it for you: - Working with an industry leader : Be part of a ...

Aprio

Lead Engineer (Azure)

Austin, TX · On-site +1

$98K - $132K/yr

Data Protection : Purview, DLP, Sensitivity Labels, DSPM * Cloud Security : Azure Defender for ... remote and hybrid options What's in it for you: - Working with an industry leader : Be part of a ...

Victory

Data Scientist (Remote)

Austin, TX · Remote

AWS,GCP,Azure), using DevOps tools and automating data pipelines * Good experience using business intelligence/visualization tools (such as Tableau), data frameworks (such as Hadoop, DataFrames, RDDs ...

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

Remote Azure Data Engineer information

See Georgetown, TX salary details

$41.3K

$120.5K

$164.9K

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

As of Jul 29, 2026, the average yearly pay for remote azure data engineer in Georgetown, TX is $120,522.00, according to ZipRecruiter salary data. Most workers in this role earn between $106,400.00 and $127,800.00 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 popular job titles related to Remote Azure Data Engineer jobs in Georgetown, TX? For Remote Azure Data Engineer jobs in Georgetown, TX, the most frequently searched job titles are:
What job categories do people searching Remote Azure Data Engineer jobs in Georgetown, TX look for? The top searched job categories for Remote Azure Data Engineer jobs in Georgetown, TX are:
What cities near Georgetown, TX are hiring for Remote Azure Data Engineer jobs? Cities near Georgetown, 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 Georgetown, TX as of July 2026, with employment types broken down into 93% Full Time, 2% Part Time, and 5% Contract. Highlights an 77% Physical, 8% Hybrid, and 15% Remote job distribution, with an average salary of $120,522 per year, or $57.9 per hour.

Data Engineer, Product Analytics

Meta

Austin, TX • On-site, Remote

$147K/yr

Full-time

Re-posted 15 days ago

Meta rating

7.8

Company rating: 7.8 out of 10

Based on 45 frontline employees who took The Breakroom Quiz

136th of 246 rated software companies

Job description

As a Data Engineer at Meta, you will shape the future of people-facing and business-facing products we build across our entire family of applications (Facebook, Instagram, Messenger, WhatsApp, Reality Labs, Threads). Your technical skills and analytical mindset will be utilized designing and building some of the world's most extensive data sets, helping to craft experiences for billions of people and hundreds of millions of businesses worldwide.In this role, you will collaborate with software engineering, data science, and product management teams to design/build scalable data solutions across Meta to optimize growth, strategy, and user experience for our 3 billion plus users, as well as our internal employee community.You will be at the forefront of identifying and solving some of the most interesting data challenges at a scale few companies can match. By joining Meta, you will become part of a world-class data engineering community dedicated to skill development and career growth in data engineering and beyond.Data Engineering: You will guide teams by building optimal data artifacts (including datasets and visualizations) to address key questions. You will refine our systems, design logging solutions, and create scalable data models. Ensuring data security and quality, and with a strong focus on efficiency, you will suggest architecture and development approaches and data management standards to address complex analytical problems.Product leadership: You will use data to shape product development, identify new opportunities, and tackle upcoming challenges. You'll ensure our products add value for users and businesses, by prioritizing projects, and driving innovative solutions to respond to challenges or opportunities.Communication and influence: You won't simply present data, but tell data-driven stories. You will convince and influence your partners using clear insights and recommendations. You will build credibility through structure and clarity, and be a trusted strategic partner.
Data Engineer, Product Analytics Responsibilities:
  • Conceptualize and own the data architecture for multiple large-scale projects, while evaluating design and operational cost-benefit tradeoffs within systems
  • Create and contribute to frameworks that improve the efficacy of logging data, while working with data infrastructure to triage issues and resolve
  • Collaborate with engineers, product managers, and data scientists to understand data needs, representing key data insights in a meaningful way
  • Define and manage Service Level Agreements for all data sets in allocated areas of ownership
  • Determine and implement the security model based on privacy requirements, confirm safeguards are followed, address data quality issues, and evolve governance processes within allocated areas of ownership
  • Design, build, and launch collections of sophisticated data models and visualizations that support multiple use cases across different products or domains
  • Solve our most challenging data integration problems, utilizing optimal Extract, Transform, Load (ETL) patterns, frameworks, query techniques, sourcing from structured and unstructured data sources
  • Assist in owning existing processes running in production, optimizing complex code through advanced algorithmic concepts
  • Optimize pipelines, dashboards, frameworks, and systems to facilitate easier development of data artifacts
  • Influence product and cross-functional teams to identify data opportunities to drive impact
  • Mentor team members by giving/receiving actionable feedback

Minimum Qualifications:
  • Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
  • 4+ years of experience where the primary responsibility involves working with data. This could include roles such as data analyst, data scientist, data engineer, or similar positions
  • 4+ years of experience with SQL, ETL, data modeling, and at least one programming language (e.g., Python, C++, C#, Scala, etc.)

Preferred Qualifications:
  • Master's or Ph.D degree in a STEM field
  • Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)
  • Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)
  • Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies

About Meta:
Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.
Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.
Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@meta.com.
$147,000/year to $208,000/year + bonus + equity + benefits
Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta.

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