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

DPR Construction

Data Engineering Lead- Finance

Austin, TX · On-site

$113K - $136K/yr

We are looking for a talented Data Engineer to join our team and contribute to developing robust data solutions that support our business goals. This role is ideal for someone who enjoys combining ...

Mwe

Pricing Data Engineer

Austin, TX · On-site

$110K - $169K/yr

At McDermott, we don't just invest in your future, we accelerate your career - wherever it may lead ... The Pricing Data Engineer builds and maintains the data infrastructure and tools that enable ...

News Corporation

Principal Data Engineer

Austin, TX · On-site

$120 - $160/hr

We have an exciting opportunity for a motivated and energetic Principal Data Engineer to shape and lead our technical strategy, a role critical to driving the next phase of growth and innovation ...

New

Realtor.com Careers

Principal Data Engineer

Austin, TX · On-site

We have an exciting opportunity for a motivated and energetic Principal Data Engineer to shape and lead our technical strategy, a role critical to driving the next phase of growth and innovation ...

Jobtailor

QA Lead - Data & Pipeline Quality

Austin, TX · On-site

$110 - $160/hr

Define QA standards, best practices, and documentation requirements for the data engineering team * Lead test planning, test case design, and execution across new pipeline builds and platform changes

New

Deloitte

Lead Generative AI Data Engineer III

Austin, TX

$101K - $133K/yr

Work You'll Do As a Lead AI and Data Science Engineer II on the team, you will be responsible for: * Lead the design, development, testing, and deployment of machine learning and artificial ...

Realtor.com Careers

Principal Data Engineer

Austin, TX · On-site

We have an exciting opportunity for a motivated and energetic Principal Data Engineer to shape and lead our technical strategy, a role critical to driving the next phase of growth and innovation ...

Deloitte

Lead Generative AI Data Engineer III

Austin, TX · On-site

$101K - $133K/yr

Work You'll Do As a Lead AI and Data Science Engineer II on the team, you will be responsible for: * Lead the design, development, testing, and deployment of machine learning and artificial ...

Premier Cloud

Customer Engineer, Data & Analytics

Austin, TX · On-site

$113K - $136K/yr

As a Customer Engineer, Data & Analytics, you will be the technical expert in client-facing roles ... Responsibilities : • Lead complex technical discovery and needs analysis with clients and sales ...

Launch Potato

Lead Data Scientist, AdTech

Austin, TX · Hybrid

$175K - $200K/yr

Leans on ML engineering for the last mile rather than working solo * Coachable: Seeks feedback and turns it into visible behavior change * Curiosity paired with delivery discipline NICE TO HAVES

MissionWired

Staff Data Engineer

Leander, TX · On-site +1

$130K - $150K/yr

We are looking for a Staff Data Engineer to transform millions of data points into unparalleled ... An eagerness to lead and take ownership of complex projects; * Experience mentoring or managing ...

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Showing results 41-60

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 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:
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 100% Contract. Highlights an 100% In-person job distribution, with an average salary of $115,011 per year, or $55.3 per hour.

Data Engineering Lead- Finance

DPR Construction

Austin, TX • On-site

$113K - $136K/yr

Full-time

Re-posted 19 days ago

DPR Construction rating

8.0

Company rating: 8.0 out of 10

Based on 37 frontline employees who took The Breakroom Quiz

18th of 80 rated construction

Job description

Job DescriptionWe are a leading construction company committed to delivering high-quality, innovative projects. Our team integrates cutting-edge technologies into the construction process to streamline operations, enhance decision-making, and drive efficiency across all levels. We are looking for a talented Data Engineer to join our team and contribute to developing robust data solutions that support our business goals.
This role is ideal for someone who enjoys combining technical problem-solving with stakeholder collaboration. You will collaborate with business leaders to understand data needs and work closely with a global engineering team to deliver scalable, timely, and high-quality data solutions that power insights and operations.
Responsibilities
  • Own data delivery for specific business verticals by translating stakeholder needs into scalable, reliable, and well-documented data solutions.
  • Participate in requirements gathering, technical design reviews, and planning discussions with business and technical teams.
  • Partner with the extended data team to define, develop, and maintain shared data models and definitions.
  • Design, develop, and maintain robust data pipelines and ETL processes using tools like Azure Data Factory and Python across internal and external systems.
  • Proactively manage data quality, error handling, monitoring, and alerting to ensure timely and trustworthy data delivery.
  • Perform debugging, application issue resolution, root cause analysis, and assist in proactive/preventive maintenance.
  • Support incident resolution and perform root cause analysis for data-related issues.
  • Create and maintain both business requirement and technical requirement documentation
  • Collaborate with data analysts, business users, and developers to ensure the accuracy and efficiency of data solutions.
  • Collaborate with platform and architecture teams to align with best practices and extend shared data engineering patterns.
Qualifications
  • Minimum of 4 years of experience as a Data Engineer, working with cloud platforms (Azure, AWS).
  • Proven track record of managing stakeholder expectations and delivering data solutions aligned with business priorities.
  • Strong hands-on expertise in Azure Data Factory, Azure Data Lake, Python, and SQL
  • Familiarity with cloud storage (Azure, AWS S3) and integration techniques (APIs, webhooks, REST).
  • Experience with modern data platforms like Snowflake and Microsoft Fabric.
  • Solid understanding of Data Modeling, pipeline orchestration and performance optimization
  • Strong problem-solving skills and ability to troubleshoot complex data issues.
  • Excellent communication skills, with the ability to work collaboratively in a team environment.
  • Familiarity with tools like Power BI for data visualization is a plus.
  • Experience working with or coordinating with overseas teams is a strong plus
Preferred Skills
  • Knowledge of Airflow or other orchestration tools.
  • Experience working with Git-based workflows and CI/CD pipelines
  • Experience in the construction industry or a similar field is a plus but not required.

DPR Construction is a forward-thinking, self-performing general contractor specializing in technically complex and sustainable projects for the advanced technology, life sciences, healthcare, higher education and commercial markets. Founded in 1990, DPR is a great story of entrepreneurial success as a private, employee-owned company that has grown into a multi-billion-dollar family of companies with offices around the world.

Working at DPR, you'll have the chance to try new things, explore unique paths and shape your future. Here, we build opportunity together-by harnessing our talents, enabling curiosity and pursuing our collective ambition to make the best ideas happen. We are proud to be recognized as a great place to work by our talented teammates and leading news organizations like U.S. News and World Report, Forbes, Fast Company and Newsweek.

Explore our open opportunities atwww.dpr.com/careers.

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