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

Senior Data Engineer

Austin, TX · On-site

$105K - $142K/yr

Lead and participate in incident management, ensuring clear and timely communication with stakeholders. * Write new and enhance existing technical and functional documentation on Data Engineering ...

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 ...

Staff Data Engineer

Austin, TX · On-site

$175K - $308K/yr

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 ...

You will help lead a team of data engineers as you create interfaces, graph models, and data platforms that facilitate the flow, linkage, and contextualization of information across Citizens ...

You will help lead a team of data engineers as you create interfaces, graph models, and data platforms that facilitate the flow, linkage, and contextualization of information across Citizens ...

As a Data Engineer, you will lead projects, design and build scalable, reliable data services and pipelines by leveraging AI tools and technologies that power analytics, reporting, and data-driven ...

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 ...

Senior Lead Data Scientist

Austin, TX · On-site

$204K - $226K/yr

We are seeking an exceptional Senior Lead Data Scientist to lead large-scale, cross-functional ... Proven ability to define and enforce clean code standards and software engineering best practices ...

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 ...

Platform Data Engineer

Austin, TX · On-site

$113K - $136K/yr

... Data Engineer to enhance their development processes. The role involves participating in the ... lead validation for all types of testing and support activities related to implementation ...

Staff Data Engineer-AI Platform

Austin, TX · On-site

$113K - $136K/yr

As a Staff Data Engineer, you'll lead, coach, and mentor engineers and teams and provide technical direction and support. You'll collaborate with Product, Data Science, Application, and Analytics ...

As a Staff Data Engineer, you'll lead, coach, and mentor engineers and teams and provide technical direction and support. You'll collaborate with Product, Data Science, Application, and Analytics ...

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 ...

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 ...

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 ...

Showing results 41-60

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 Sep 1, 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:

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.

Senior Data Engineer

Arrive Logistics

Austin, TX • On-site

$105K - $142K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 27 days ago


Arrive Logistics rating

5.5

Company rating: 5.5 out of 10

Based on 10 frontline employees who took The Breakroom Quiz


Job description

Who We Are
Arrive Logistics is a leading transportation and technology company in North America with plans to grow significantly year over year. Our success is a testament to our remarkable team and what we're building together. We're committed to providing employees with a meaningful work experience and have established an award-winning culture that supports personal and career development in a fun, casual, and collaborative environment.
Who We Want
As a Senior Data Engineer at Arrive Logistics, you will build and own the data ecosystem that powers our analytics, business intelligence, and data science initiatives. You'll work alongside Data, Engineering, and IT specialists to define and deploy new data infrastructure and tooling as well as own the pipelines that ingest and transform data integral to our analytics, BI, and data science initiatives. This position is an experienced professional who provides technical leadership to the team of data engineers and will directly influence how Arrive leverages its most valuable asset, data.
What You'll Do
  • Design, build, and optimize robust, scalable, and reliable data pipelines to ingest and process data from a wide variety of sources.
  • Develop and maintain our data warehousing solutions (e.g. Snowflake), including maintenance of an advanced RBAC model to ensure data governance throughout all data tooling.
  • Ensure data quality and integrity by implementing data validation frameworks, monitoring systems, and anomaly detection protocols.
  • Architect and manage cloud-based data infrastructure.
  • Orchestrate batch machine learning pipelines. Work closely with data scientists to orchestrate code based on data science and product requirements, getting alignment on optimizations when necessary.
  • Collaborate with stakeholders, including data scientists, analysts, and product managers to understand data requirements and deliver actionable solutions.
  • Improve performance, efficiency and optimize cost of existing data systems and processes.
  • Work alongside Data and Engineering leadership to weigh tradeoffs in build vs buy decisions and tradeoffs in product roadmap vs technical initiatives.
  • Work with internal software engineering teams to define architectures and best practices for ingesting data into the data warehouse and making aggregated data and metrics from the data warehouse available to our production applications.
  • Interact with vendors to craft the adoption of new technology and infrastructure for the team.
  • Designs, develops, and evaluates AI agents and reusable skill libraries to drive developer productivity and automate team workflows - including prompt engineering, tool integration, and performance evaluation using platforms such as Snowflake Cortex AI and LangGraph.
  • Architects and governs secure integrations between enterprise AI tools (Claude, Cursor, Gemini, Slack, etc.) and the data warehouse, ensuring data access controls, auditability, and compliance standards are maintained across the AI toolchain.
  • Take part in an on-call rotation. Work with Engineering leadership to define SLAs and alerting policies for our systems.
  • Lead and participate in incident management, ensuring clear and timely communication with stakeholders.
  • Write new and enhance existing technical and functional documentation on Data Engineering-owned systems and standards. Proactively address gaps in existing team standards, SLAs, operating principles, and documentation and work with leadership to scope and implement improvements in these areas.
  • Be a leader, mentor, and subject matter expert for the team, stakeholders, and peers. Foster a collaborative environment that drives solutions forward at a larger scope.

Qualifications
  • Bachelor's degree in Computer Science, Engineering, or a related field or equivalent professional experience.
  • 5+ years experience in data engineering.
  • Expert proficiency in SQL and strong programming skills in Python.
  • Proven experience building and orchestrating data pipelines using dbt and Airflow
  • Hands-on experience developing data solutions in a major cloud environment, with a strong preference for Microsoft Azure.
  • Solid understanding of BI-tooling integrations with a cloud data warehouse, with a strong preference for PowerBI
  • Solid understanding of event-driven architecture and the use of messaging systems like Kafka to enable real-time data flow.
  • Experience with a modern cloud data warehouse like Snowflake, Databricks, BigQuery, or Redshift.
  • Familiarity with CI/CD, microservice architecture, domain driven design, data contracts
  • Solid understanding with best practices around data security/privacy, role-based access control
  • Experience with machine learning concepts, frameworks, and infrastructure
  • Excellent written and oral communication and presentation skills

The Perks of Working With Us
  • Take advantage of our comprehensive benefits package, including medical, dental, vision, life, disability, and supplemental coverage.
  • Invest in your future with our matching 401(k) program.
  • Build relationships and find your home at Arrive through our Employee Resource Groups.
  • Enjoy office wide engagement activities, team events, happy hours and more!
  • Leave the suit and tie at home; our dress code is casual.
  • Work in the booming city of Austin, TX - we are in a convenient location close to the airport and downtown.
  • Park your car for free on site!
  • Start your morning with a specialty drink from our fully stocked coffee bar, Broker's Brew.
  • Sweat it out with the team at our onsite gym.
  • Maximize your wellness with free counseling sessions through our Employee Assistance Program
  • Take time to manage your physical and mental health - we offer company paid holidays, paid vacation time and wellness days.
  • Receive 100% paid parental leave when you become a new parent.
  • Get paid to work with your friends through our Referral Program!
  • Get relocation assistance! If you are not local to the area, we offer relocation packages.

Your Arrive Experience
When we say "award-winning culture," we mean it. We've been recognized as a top workplace by Inc. Fast Company, Fortune, and earned Top Workplaces and Great Place to Work, to name a few. We intend on topping many more of those lists in the years to come, but we're not in it for the trophies. We're committed to culture because it keeps us connected to each other and invested in our shared success while having a blast along the way. Our employee-founded resource groups create communities within Arrive's walls, including Women in Logistics, Emerging Professionals, Prisms, Black Logistics Group, Salute and Unidos.
Notice:
To ensure a safe and transparent interview process, we want to note that Arrive Logistics adheres to strict recruitment practices. Candidates undergo an interview process, and Arrive Logistics does not provide unsolicited job offers. If you have concerns about receiving a fraudulent offer, please contact [email protected] for verification.

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