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Data Engineer Jobs in Georgetown, TX (NOW HIRING)

IT America Inc

Databricks Data Engineer

Austin, TX · On-site

$113K - $136K/yr

Databricks Data Engineer Location: Austin, TX (Preferred Locals to Austin, TX and Permanent residents of USA) Duration: Long-Term Contract Key Skills: Looking for a Senior Databricks Data Engineer ...

Pabst Brewing Company

Data Engineer

Austin, TX · On-site

$113K - $136K/yr

The Role We're looking for a Data Engineer to join our Data Systems teamand help build the modern data foundation behind our business. This role is all about turning complex data into scalable ...

Contact Government Services, LLC

Data Engineer

Austin, TX

$113K - $136K/yr

Data Engineer Employment Type: Full-Time, Mid-level Department: Business Intelligence CGS is seeking a passionate and driven Data Engineer to support a rapidly growing Data Analytics and Business ...

Pabst

Data Engineer

Austin, TX · On-site

$113K - $136K/yr

The Role We're looking for a Data Engineer to join our Data Systems team and help build the modern data foundation behind our business. This role is all about turning complex data into scalable ...

Central Health

Data Systems Engineer

Austin, TX

$115K - $138K/yr

The Data Engineer is accountable for automating the import and export of enterprise data, ensuring data integrity across all internal and external systems, and building reliable, well-documented data ...

Arbor

Data Engineer

Austin, TX · Remote

$117K - $140K/yr

The Opportunity We're looking for a Data / Analytics Engineer to own the data infrastructure that powers Arbor's intelligence layer. You'll be the connective tissue between our production systems and ...

ALIS Software LLC

Data Engineer

Austin, TX · On-site

$113K - $136K/yr

Required Skills • 4-8+ years of hands-on experience as a Data Engineer. • Strong expertise in IICS (mappings, tasks, parameterization, scheduling). • Proficient in Snowflake (warehouses, stages ...

General Motors

Staff Data Engineer

Austin, TX · Hybrid

$113K - $136K/yr

Data engineers at GM are expected to build and maintain reliable, scalable data infrastructure, transform raw data into high-quality datasets for analytics and advanced data science use cases, and ...

IntraEdge

GCP Data Engineer

Austin, TX · On-site

$113K - $136K/yr

GCP Data Engineer 21249 Austin, TX 2/26/2026 7:58:00 AM IT Contractor - W2 GCP Data Engineer to serve fraud data mart customers. Data Engineer will closely work with cross-functional teams to ensure ...

Certifid, Inc

Data Engineer

Austin, TX · On-site

$113K - $136K/yr

About This Role We're seeking a talented and driven Data Engineer to help us elevate our data platform. This is a high-impact role where you'll contribute to the design and development of scalable ...

CertifID LLC

Data Engineer

Austin, TX · On-site

$113K - $136K/yr

About This Role We're seeking a talented and driven Data Engineer to help us elevate our data platform. This is a high-impact role where you'll contribute to the design and development of scalable ...

Charles Schwab Inc.

Data Engineer

Austin, TX · On-site

$125K - $140K/yr

We are in the midst of re-architecting and rebuilding our core enterprise data platform to support our rapidly growing and evolving business. The technical engineering lead will be a hands-on lead ...

Charles Schwab

Data Engineer

Austin, TX · On-site

$113K - $136K/yr

We are in the midst of re-architecting and rebuilding our core enterprise data platform to support our rapidly growing and evolving business. The technical engineering lead will be a hands-on lead ...

Prophecy Technologies

Snowflake Data Engineer

Austin, TX · On-site

$113K - $136K/yr

This role is for a Data Engineer with mandatory prior experience in Apple AIDP. The successful candidate will be responsible for designing, implementing, and optimizing data solutions primarily using ...

Apple Inc.

AIML Data Engineer

Austin, TX · On-site

$113K - $136K/yr

We are seeking an AIML Data Engineer to own the data pipelines, feature engineering, and telemetry infrastructure that underpin our AIML portfolio -- while also serving as a hands-on analytics ...

InterSources Inc

Data Engineer with QE Experience

Austin, TX · On-site

$113K - $136K/yr

They are seeking a Data Engineer with QE experience to work on data engineering tasks with a focus on testing knowledge and various technologies such as PySpark, Snowflake, and AWS. Responsibilities ...

Apple

Finance Data Engineer

Austin, TX · On-site

$113K - $136K/yr

The Finance Data Engineer is a technical expert who creates data interfaces, pipelines and codebase that drives innovative data products for Apple Finance. They build reliable, accurate, consistent ...

Apple

Finance Data Engineer

Austin, TX · On-site

$113K - $136K/yr

The Finance Data Engineer is a technical expert who creates data interfaces, pipelines and codebase that drives innovative data products for Apple Finance. They build reliable, accurate, consistent ...

IntraEdge

GCP Data Engineer

Austin, TX

$113K - $136K/yr

Data Engineer will closely work with cross-functional teams to ensure data integrity, reliability, and scalability. You need to have expertise in Google Big Query, Google Cloud Storage, Dataflow ...

Intellisoft Technologies

Data Engineer

Austin, TX · On-site

$113K - $136K/yr

Intellisoft Technologies is seeking a highly skilled Data Engineer with extensive experience in Fivetran. This role is critical to ensuring seamless data integration and enabling scalable analytics ...

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Showing results 41-60

All JobsData Engineer JobsData Engineer Jobs in Georgetown, TX

Data Engineer information

See Georgetown, TX salary details

$41.3K

$120.5K

$164.9K

How much do data engineer jobs pay per year?

As of Sep 13, 2026, the average yearly pay for 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 is a data engineer?

Data Engineers are IT professionals who design, construct, install, and maintain large-scale processing systems and other infrastructure for collecting, storing, and analyzing data. They build and optimize data pipelines and architectures that allow organizations to efficiently access and use data for business insights. Data Engineers work closely with data scientists, analysts, and other stakeholders to ensure that data is reliable, accessible, and secure. Their responsibilities often include working with databases, cloud platforms, and big data tools.

What are the key skills and qualifications needed to thrive as a data engineer, and why are they important?

To thrive as a Data Engineer, you need a strong background in computer science, data modeling, and programming languages such as Python or Java, often coupled with a relevant degree. Familiarity with ETL tools, big data frameworks (like Hadoop or Spark), and cloud platforms (such as AWS or Azure) is typically required, along with certifications like AWS Certified Data Analytics. Strong problem-solving skills, attention to detail, and effective communication set exceptional data engineers apart. These skills and qualities are essential for building robust data pipelines, ensuring data quality, and supporting data-driven decision-making across organizations.

What does a data engineer do?

The job duties of a data engineer involve helping with the development of systems, software, and infrastructure used to process, store and analyze data. Your responsibilities in this career include working to install data management software. Your employer may expect you to perform maintenance and install updates to all software and systems that they use for data acquisition, management, and analysis. Data engineers also analyze existing data systems to find ways to improve efficiency and accessibility. You then suggest upgrades or changes based on your assessment.

How do data engineers typically collaborate with data scientists and analysts within an organization?

Data Engineers play a crucial role in ensuring that Data Scientists and Analysts have reliable, well-structured data for their projects. This collaboration often involves building and maintaining data pipelines, optimizing data storage solutions, and troubleshooting data quality issues. Regular communication and agile teamwork are common, with Data Engineers frequently participating in meetings to understand analytical requirements and adjust data processes accordingly. By working closely together, these teams can quickly iterate on data models and deliver actionable insights to drive business decisions.

What is the difference between Data Engineer vs Data Scientist?

AspectData EngineerData Scientist
Primary FocusBuilding and maintaining data pipelines and infrastructureAnalyzing data to extract insights and create models
SkillsSQL, ETL, programming (Python, Java), database managementStatistics, machine learning, data analysis, programming (Python, R)
Work EnvironmentData warehouses, cloud platforms, backend systemsData analysis environments, research labs, visualization tools
Common ToolsApache Spark, Hadoop, Airflow, SQLJupyter, RStudio, Tableau, scikit-learn

Data Engineers focus on creating and maintaining the infrastructure that allows data to be collected, stored, and processed efficiently. Data Scientists analyze this data to generate insights, build predictive models, and support decision-making. While their skills overlap, Data Engineers are more involved in data pipeline development, whereas Data Scientists focus on data analysis and modeling.

Is a data engineer entry level?

Data engineering is typically an intermediate to senior-level role that requires experience with programming, databases, and data pipeline tools. Entry-level positions may be available for those with relevant internships or strong foundational skills, but most data engineering roles demand several years of experience or advanced knowledge of tools like SQL, Python, and cloud platforms.

What is the role of a data engineer?

A data engineer designs, builds, and maintains data pipelines and infrastructure to collect, process, and store large volumes of data. They work with tools like SQL, Python, and cloud platforms to ensure data is accessible and reliable for analysis and decision-making.
More about Data Engineer jobs

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

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For Data Engineer jobs in Georgetown, TX, the most frequently searched job titles are:

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The top searched job categories for Data Engineer jobs in Georgetown, TX are:

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Cities near Georgetown, TX with the most Data Engineer job openings:

Data Engineer jobs near you
Infographic showing various Data Engineer job openings in Georgetown, TX as of August 2026, with employment types broken down into 86% Full Time, 7% Temporary, and 7% Contract. Highlights an 69% In-person, 7% Hybrid, and 24% Remote job distribution, with an average salary of $120,522 per year, or $57.9 per hour.

Databricks Data Engineer

Austin, TX • On-site

IT America Inc
Software Development • 201 - 500 employees
Learn more about IT America Incexternal

$113K - $136K/yr

Contractor

Posted 25 days ago

Job description

Position: Databricks Data Engineer

Location: Austin, TX (Preferred Locals to Austin, TX and Permanent residents of USA) 

Duration: Long-Term Contract

Key Skills: Looking for a Senior Databricks Data Engineer with SQL Server + SSIS + DW modernization experience, and ideally GenAI/LLM/Agent experience

Responsibilities & Skills:

  • 12yrs of Data Engineer and IT exp is mandatory
  • Design and implement enterprise scale solutions on the Databricks Lakehouse Platform.
  • Architect end to end data pipelines for batch and real time processing using Apache Spark and PySpark.
  • Develop scalable data ingestion, transformation, and data quality frameworks.
  • Design and implement Medallion Architecture (Bronze, Silver, Gold) using Delta Lake.
  • Build and optimize data warehouses, data marts, and analytical solutions.
  • Implement data governance, security, lineage, and access controls using Unity Catalog.
  • Develop and support AI/BI dashboards, semantic models, and self-service analytics solutions.
  • Configure and optimize Genie Spaces to enable natural language business queries and conversational analytics.
  • Design and deploy Generative AI and RAG based solutions using Databricks Mosaic AI and Vector Search.
  • Collaborate with business users to translate requirements into scalable data and AI solutions.
  • Optimize Databricks workloads for performance, scalability, reliability, and cost efficiency.
  • Lead cloud native implementations across  Azure environments.
  • Define architecture standards, best practices, and reusable design patterns.
  • Mentor data engineers, analysts, and architects on Databricks technologies and platform adoption.
  • Lead migration initiatives from legacy data warehouses and analytics platforms to Databricks.
  • Build and maintain Genie Spaces for business self-service analytics.
  • Create semantic models, metrics, and trusted data assets for AI driven reporting.
  • Develop natural language to SQL analytics solutions using Databricks Genie.
  • Implement RAG solutions using enterprise data and Vector Search.
  • Optimize AI/BI dashboards and conversational analytics experiences.
  • Troubleshoot Spark performance, query optimization, and workload management.
  • Automate data validation, monitoring, and governance controls.
  • Support AI use cases using Mosaic AI model serving and inference endpoints.

Technical Skills:

  • Databricks Lakehouse Platform
  • Apache Spark, PySpark, Spark SQL
  • Python, SQL
  • Delta Lake, Delta Live Tables, Lakeflow
  • Unity Catalog
  • Databricks AI/BI and Genie
  • Mosaic AI, Vector Search, RAG
  • Data Modeling (Dimensional & Data Vault)
  • Structured Streaming
  • Data Quality and Data Governance
  • Azure
  • Terraform, Git, Azure DevOps, Jenkins
  • REST APIs and Data Integration
  • Performance Tuning and Cost Optimization