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Lead Data Engineer Jobs in Georgetown, TX (NOW HIRING)

Raas Infotek LLC

Lead Data Engineer

Manor, TX · On-site

$123K - $148K/yr

Senior/Lead Data Engineer Experience: 10+ Years Employment Type: Contract W2 only About the Role We are looking for a highly experienced Data Engineer to design, build, and optimize scalable data ...

New

First Citizens Bank

Lead Data Engineer

Austin, TX · Remote

$113K - $136K/yr

We are seeking an experienced Lead Data Engineer to join our Data Platform Engineering Organization and lead the design, development, and modernization of enterprise data platforms that power ...

First Citizens Bank

Lead Data Engineer

Austin, TX · Remote

$113K - $136K/yr

We are seeking an experienced Lead Data Engineer to join our Data Platform Engineering Organization and lead the design, development, and modernization of enterprise data platforms that power ...

Programmers.io

Lead Data Engineer

Austin, TX · On-site

$113K - $136K/yr

Lead Experience in interacting with business and independently develop and lead data projects ... programming using Pandas| PyParsing| Airflow.o Pandas| Tableau server modules| NumPy| Datetime ...

Koitecc Solutions

Lead Data Privacy Engineer

Austin, TX · On-site

$107 - $284/hr

The Lead Data Privacy Engineer will play a critical role in advancing enterprise privacy engineering and data protection capabilities that safeguard sensitive information while enabling secure ...

Kestra Holdings

Lead Data Architect (P4)

Austin, TX · On-site

Lead with Purpose. Partner with Impact. We are seeking a Lead Data Architect to drive the design ... Collaborate with business stakeholders, data engineers, and analysts to translate business ...

Deloitte

Lead Generative AI Data Engineer III

Austin, TX · On-site

$101K - $133K/yr

Share this job: Share: Share Lead Generative AI Data Engineer III with Facebook Share Lead Generative AI Data Engineer III with LinkedIn Share Lead Generative AI Data Engineer III with Twitter ...

IT America Inc

Databricks Data Engineer

Austin, TX · On-site

$113K - $136K/yr

Lead cloud native implementations across Azure environments. * Define architecture standards, best practices, and reusable design patterns. * Mentor data engineers, analysts, and architects on ...

General Motors

Agentic Data Engineer

Austin, TX · Hybrid

$113K - $136K/yr

The Role The Agentic Data Engineer is a preeminent technical expert who designs, builds, and scales ... Design and lead implementation of agentic workflows that use LLMs, rules engines, and ML models to:

General Motors

Agentic Data Engineer

Austin, TX · On-site

$113K - $136K/yr

The Role The Agentic Data Engineer is a pre-eminent technical expert who designs, builds, and ... Design and lead implementation of agentic workflows that use LLMs, rules engines, and ML models to:

Career Opportunities

Data Engineer

Austin, TX · On-site

$113K - $136K/yr

Act as a technical lead for junior engineers, conducting code reviews, and establishing best practices for SQL and version control. * Collaboration: Translate business requirements from Product and ...

IntraEdge

GCP Data Engineer

Austin, TX · On-site

$113K - $136K/yr

GCP Data Engineer to serve fraud data mart customers. Data Engineer will closely work with cross ... Proactively lead investigation and resolution efforts when data issues are identified taking ...

Apple Inc.

Staff Data Engineer

Austin, TX · On-site

$180 - $240/hr

Description We are looking for a Staff Data Engineer to lead the data engineering and data architecture behind it. You will own the data model and the pipeline contracts other teams build against ...

IntraEdge

GCP Data Engineer

Austin, TX · On-site

$113K - $136K/yr

GCP Data Engineer to serve fraud data mart customers. Data Engineer will closely work with cross ... Proactively lead investigation and resolution efforts when data issues are identified taking ...

Pwc

Data Engineer - Senior Manager

Austin, TX · On-site

$124K - $280K/yr

As a Senior Manager you lead large projects, innovate processes, and maintain operational ... Data Engineer Associate] is a plus - Designing and implementing thorough data architecture ...

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Showing results 1-20

All JobsLead Data Engineer JobsLead Data Engineer Jobs in Georgetown, TX

Lead Data Engineer information

See Georgetown, TX salary details

$39.5K

$115K

$167.7K

How much do lead data engineer jobs pay per year?

As of Aug 29, 2026, the average yearly pay for lead data engineer in Georgetown, TX is $115,011.00, according to ZipRecruiter salary data. Most workers in this role earn between $95,200.00 and $125,400.00 per year, depending on experience, location, and employer.

What is a lead data engineer?

Lead Data Engineers are senior professionals responsible for designing, building, and managing large-scale data systems and architectures within an organization. They oversee data engineering teams, set technical standards, and ensure efficient data flow and storage. Their role involves collaborating with data scientists, analysts, and other stakeholders to deliver reliable data solutions that support business goals. Lead Data Engineers also mentor junior engineers and help define best practices and strategies for data management.

What are the key skills and qualifications needed to thrive as a lead data engineer?

To thrive as a Lead Data Engineer, you need advanced expertise in data architecture, database design, and programming languages like Python or Scala, typically supported by a degree in computer science or a related field. Familiarity with big data technologies (e.g., Hadoop, Spark), cloud platforms (AWS, Azure, GCP), and relevant certifications such as Google Professional Data Engineer are highly valued. Strong leadership, problem-solving abilities, and effective communication help drive team performance and translate business needs into technical solutions. These skills ensure robust, scalable data pipelines and successful collaboration across technical and business stakeholders.

How does a lead data engineer typically collaborate with data scientists and other engineering teams?

As a Lead Data Engineer, you play a central role in bridging the gap between raw data and actionable insights. You’ll collaborate closely with data scientists to understand their requirements, ensuring data pipelines deliver clean, reliable datasets for modeling and analysis. Additionally, you’ll work with software engineers and DevOps teams to integrate data solutions into production systems, maintain data infrastructure, and uphold best practices for data governance and security. Effective communication and cross-functional teamwork are key aspects of this role.

What is the difference between Lead Data Engineer vs Data Engineer?

AspectLead Data EngineerData Engineer
CredentialsBachelor's/Master's in CS, Data Science, or related; often certifications in cloud platforms or data toolsBachelor's in CS, Data Science, or related; similar certifications
Work EnvironmentLeads data projects, mentors teams, designs architectureBuilds data pipelines, maintains databases, implements data solutions
Industry UsageUsed in organizations with complex data needs, overseeing data teamsCommon in companies handling large-scale data processing

The main difference is that Lead Data Engineers oversee data projects and teams, focusing on architecture and strategy, while Data Engineers focus on building and maintaining data pipelines. Both roles require similar skills and certifications, but the Lead Data Engineer has additional leadership responsibilities.

What are popular job titles related to Lead Data Engineer jobs in Georgetown, TX?

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

What job categories do people searching Lead Data Engineer jobs in Georgetown, TX look for?

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

What cities near Georgetown, TX are hiring for Lead Data Engineer jobs?

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

Lead Data Engineer jobs near you
Infographic showing various Lead Data Engineer job openings in Georgetown, TX as of August 2026, with employment types broken down into 91% Full Time, 7% Part Time, and 2% Contract. Highlights an 80% Physical, 2% Hybrid, and 18% Remote job distribution, with an average salary of $115,011 per year, or $55.3 per hour.

Lead Data Engineer

Raas Infotek LLC

Manor, TX • On-site

$123K - $148K/yr

Other

Posted 2 days ago

New

Job description

Position: Senior/Lead Data Engineer


Experience: 10+ Years
Employment Type: Contract W2 only

About the Role

We are looking for a highly experienced Data Engineer to design, build, and optimize scalable data platforms and pipelines. The ideal candidate has deep expertise across the modern data stack, strong architectural judgment, and the ability to lead data engineering initiatives end-to-end while mentoring junior engineers and collaborating closely with data science, analytics, and business teams.

Key Responsibilities
  • Design, build, and maintain scalable, reliable ETL/ELT pipelines for structured and unstructured data
  • Architect and optimize data warehouses, data lakes, and lakehouse solutions
  • Lead the design of data models (dimensional, normalized, and denormalized) to support analytics and reporting
  • Build and manage batch and real-time streaming data pipelines
  • Ensure data quality, integrity, governance, and security across all pipelines and platforms
  • Optimize pipeline performance, cost, and scalability across cloud environments
  • Collaborate with data scientists, analysts, and business stakeholders to understand data requirements
  • Implement CI/CD practices for data pipelines and infrastructure-as-code
  • Monitor, troubleshoot, and resolve production data pipeline issues (on-call/incident support as needed)
  • Establish and enforce data engineering best practices, standards, and documentation
  • Lead technical design reviews and mentor junior/mid-level data engineers
  • Evaluate and integrate new tools/technologies to improve the data platform
Required Skills & Experience
  • 10+ years of experience in data engineering, data warehousing, or related fields
  • Strong programming skills in Python, Scala, or Java
  • Expert-level SQL and experience with query optimization on large datasets
  • Hands-on experience with big data technologies: Spark, Hadoop, Kafka, Hive
  • Strong experience with cloud data platforms – AWS (Redshift, Glue, EMR, S3), Azure (Synapse, Data Factory, Databricks), or Google Cloud Platform (BigQuery, Dataflow, Dataproc)
  • Experience with modern data warehouse/lakehouse platforms – Snowflake, Databricks, or similar
  • Proficiency in orchestration tools – Airflow, Dagster, or similar
  • Solid understanding of data modeling (Star/Snowflake schema, Data Vault) and dimensional design
  • Experience with real-time/streaming architectures (Kafka, Kinesis, Flink, Spark Streaming)
  • Strong knowledge of CI/CD, version control (Git), and infrastructure-as-code (Terraform/CloudFormation)
  • Experience with containerization and orchestration (Docker, Kubernetes)
  • Understanding of data governance, security, lineage, and compliance (GDPR/HIPAA as applicable)
  • Proven experience architecting solutions from scratch and leading data engineering teams/projects
  • Excellent problem-solving, debugging, and performance-tuning skills
Good to Have
  • Experience with dbt (data build tool) for transformation workflows
  • Exposure to MLOps and supporting ML pipelines/feature stores
  • Experience with DataOps practices and data observability tools (Monte Carlo, Great Expectations)
  • Knowledge of API development for data services
  • Relevant cloud certifications (AWS Certified Data Analytics, Azure Data Engineer Associate, Google Cloud Platform Professional Data Engineer)
  • Experience in a specific domain (Finance, Healthcare, Retail, etc. – customize as needed)
Educational Qualification
  • Bachelor''s/Master''s degree in Computer Science, Data Engineering, Information Systems, or related field
Soft Skills
  • Strong communication skills to work with cross-functional and non-technical stakeholders
  • Leadership ability to mentor and guide junior engineers
  • Ability to drive projects independently with minimal supervision
  • Strong ownership mindset and attention to data quality/detail

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