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

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 ...

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 ...

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 ...

Lead Data Scientist

Austin, TX · On-site

$120 - $170/hr

... Data Engineering, Product Management, and Business Operations, to drive the adoption of data ... Lead). Networks collaboratively with key contacts outside their own area of expertise to drive ...

Sr Data Engineer

Austin, TX · On-site

$114K - $137K/yr

You'll lead with strong engineering fundamentals, partner across teams, and help set the standards for how data is built and used. What You'll Do * Design, develop, optimize, and maintain data ...

Data Engineer

Austin, TX · On-site

$113K - $136K/yr

Data Engineer Location: Austin,TX/ Sunnyvale, CA We are seeking an experienced Data Engineer with ... The ideal candidate will lead/support end-to-end migration activities including assessment, schema ...

AI Data Engineer

Austin, TX · On-site

$113K - $136K/yr

What You'll Do Data Engineering & Infrastructure * Design, build, and maintain scalable data ... Lead cross-functional efforts to integrate AI into core GTM workflows, ensuring adoption across ...

GCP Data Engineer

Austin, TX

$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 ...

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 ...

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 ...

In data engineering at PwC, you will focus on designing and building data infrastructure and ... You are expected to lead with integrity and authenticity, articulating our purpose and values in a ...

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 ...

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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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 8, 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.

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 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.

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 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 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:
Infographic showing various Lead Data Engineer job openings in Georgetown, TX as of August 2026, with employment types broken down into 100% Contract. Highlights an 100% In-person job distribution, with an average salary of $115,011 per year, or $55.3 per hour.

Lead Data Engineer

Programmers.io

Austin, TX • On-site

$113K - $136K/yr

Contractor

Re-posted 21 days ago


Job description

MUST HAVE
• Hands on experience with writing Complex SQL queries using Joins, Self Joins, Views, Materialized Views, Cursor also Recursive, use of GROUP BY, PARTITION BY functions and SQL Performance tuning
• Hands on experience with ETL and Dimensional Data Modelling, Slowly Changing Dimensions like Type 1, 2, 3
o Good understanding of concepts like schema types, table types (fact, dimension etc.)
• Proficiency in Python scripting and programming using Pandas, PyParsing, Airflow.
o Pandas, Tableau server modules, NumPy, Datetime, Apache Airflow related modules, APIs
o Setting up Python scripts on DataLab, scheduling processes, connecting with DataLake, S3 etc.
o Data Pipeline automation
o Strong Python programming skills
o Apache Kafka and Python (using client libraries like Confluent's librdkafka or kafka python to produce and consume messages from Kafka topics.
o Experience building streaming applications, data pipelines, and microservices etc.
• Should have understanding on Snowflake Architecture, experience with designing and building solutions.
o Architecture, design aspects, performance tuning, time travel, warehouse concepts, scaling, clustering, micro partitioning
o Experience with SnowSQL, SnowPipe
• Good to Have Experience with Snowflake performance optimization techniques
• Experience with Vertica, Single store
• Lead Experience in interacting with business and independently develop and lead data projects. Collaborating with Offshore and owning overall project delivery.
• Actively participating in discussions with business to understand requirements, perform thorough impact analysis and provide suitable solutions.
Role Descriptions: MUST HAVE Hands on experience with writing Complex SQL queries using Joins| Self Joins| Views| Materialized Views| Cursor also Recursive| use of GROUP BY| PARTITION BY functions and SQL Performance tuning Hands on experience with ETL and Dimensional Data Modelling| Slowly Changing Dimensions like Type 1| 2| 3o Good understanding of concepts like schema types| table types (fact| dimension etc.) Proficiency in Python scripting and programming using Pandas| PyParsing| Airflow.o Pandas| Tableau server modules| NumPy| Datetime| Apache Airflow related modules| APIso Setting up Python scripts on DataLab| scheduling processes| connecting with DataLake| S3 etc.o Data Pipeline automationo Strong Python programming skillso Apache Kafka and Python (using client libraries like Confluents librdkafka or kafka python to produce and consume messages from Kafka topics.o Experience building streaming applications| data pipelines| and microservices etc. Should have understanding on Snowflake Architecture| experience with designing and building solutions.o Architecture| design aspects| performance tuning| time travel| warehouse concepts| scaling| clustering| micro partitioningo Experience with SnowSQL| SnowPipe Good to Have Experience with Snowflake performance optimization techniques Experience with Vertica| Single store Lead Experience in interacting with business and independently develop and lead data projects. Collaborating with Offshore and owning overall project delivery. Actively participating in discussions with business to understand requirements| perform thorough impact analysis and provide suitable solutions.
Essential Skills: MUST HAVE Hands on experience with writing Complex SQL queries using Joins| Self Joins| Views| Materialized Views| Cursor also Recursive| use of GROUP BY| PARTITION BY functions and SQL Performance tuning Hands on experience with ETL and Dimensional Data Modelling| Slowly Changing Dimensions like Type 1| 2| 3o Good understanding of concepts like schema types| table types (fact| dimension etc.) Proficiency in Python scripting and programming using Pandas| PyParsing| Airflow.o Pandas| Tableau server modules| NumPy| Datetime| Apache Airflow related modules| APIso Setting up Python scripts on DataLab| scheduling processes| connecting with DataLake| S3 etc.o Data Pipeline automationo Strong Python programming skillso Apache Kafka and Python (using client libraries like Confluents librdkafka or kafka python to produce and consume messages from Kafka topics.o Experience building streaming applications| data pipelines| and microservices etc. Should have understanding on Snowflake Architecture| experience with designing and building solutions.o Architecture| design aspects| performance tuning| time travel| warehouse concepts| scaling| clustering| micro partitioningo Experience with SnowSQL| SnowPipe Good to Have Experience with Snowflake performance optimization techniques Experience with Vertica| Single store Lead Experience in interacting with business and independently develop and lead data projects. Collaborating with Offshore and owning overall project delivery. Actively participating in discussions with business to understand requirements| perform thorough impact analysis and provide suitable solutions.