Retell AI04.02.26
AI SCORE 8.5

Founding Senior Data Engineer - AI Voice Automation

$170K–$250K/year

About the Role

We are seeking a Founding Senior Data Engineer to join Retell AI, a pioneering company in voice automation. This remote role will allow you to build the analytics foundation of our innovative AI platform, which is transforming the call center industry.

What You'll Do

  • Design, build, and manage data pipelines to ensure seamless integration of user event data into our data warehouse.
  • Develop canonical datasets to track key product metrics, including user growth, engagement, and revenue.
  • Collaborate with cross-functional teams, including Infrastructure, Data Science, Product, Marketing, Finance, and Research, to understand their data needs and provide effective solutions.
  • Create insightful and reliable dashboards to track performance metrics that will inform company-wide strategies.
  • Become an expert in our organization’s data models and architecture.
  • Ensure data security, integrity, and compliance with industry standards.

Requirements

  • Bachelor’s degree in Computer Science, Data Engineering, Data Science, or a related field.
  • 3+ years of experience as a Data Engineer, Analytics Engineer, or in a similar analytics-focused role.
  • Proficiency in writing production-quality SQL and familiarity with Python or similar programming languages.
  • Experience working closely with Product and GTM teams to define impactful metrics.
  • Ability to thrive in a startup environment and navigate ambiguity effectively.
  • Strong analytical skills to translate complex business questions into reliable analytical models.
  • Passion for end-to-end ownership of problems and solutions.

Nice to Have

  • Experience in AI or voice technology sectors.
  • Familiarity with data visualization tools.
  • Knowledge of data security and compliance regulations.

What We Offer

  • Competitive salary ranging from $170,000 to $250,000.
  • Equity options to share in the company's success.
  • Comprehensive relocation support for qualified candidates.
  • 100% coverage for medical, dental, and vision insurance.
  • Daily DoorDash credit for meals and snacks.
  • Monthly wellness and commuter reimbursements.
  • Flexible working hours and a dynamic startup environment.

If you are ready to take on a challenging role as a Founding Senior Data Engineer and contribute to the future of voice automation, we encourage you to apply!

Why This Job8.5 of 10

This role offers a unique opportunity to join a rapidly growing AI startup as a Founding Senior Data Engineer, with a competitive salary and equity options.

Salary Range
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Bonus
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About Retell AI

Explore Retell AI careers in 2026 and discover exciting job opportunities across remote, hybrid, and office roles. Our platform features advanced filters to streamline your search, application tracking to keep you organized, and valuable company insights to enhance your application. Start your journey towards a fulfilling career at Retell AI today and unlock your potential in the evolving tech landscape.

Industry
Tech
Location
Remote

Who Will Succeed Here

Proficient in SQL and Python, with hands-on experience in building data pipelines and performing data analysis to support AI-driven voice automation projects.

Self-motivated and highly organized, capable of managing multiple projects independently in a fully remote work environment, ensuring deadlines are met without direct supervision.

Experience in designing data visualization solutions that effectively communicate insights from complex datasets, with a strong focus on usability for stakeholders in the call center industry.

Learning Resources

SQL for Data Sciencecourse

Career Path

Founding Senior Data Engineer - AI Voice Automation(Now)Lead Data Engineer(1-2 years)Data Engineering Manager(3-5 years)

Market Overview

Market Size 2024
$7.8B
Annual Growth
12.5%
AI Adoption in Data Engineering
65%
Investment in Data Solutions
+45%
Labour Demand for Data Engineers
+30%
Avg Salary for Data Engineers
$120K

Skills & Requirements

Required
SQLPythonData Engineering
Growing in Demand
Apache SparkMachine LearningCloud Data Warehousing
Declining
Hadoop MapReduceSQL Server Reporting Services (SSRS)

Domain Trends

Rise of AI-Driven Data Engineering
AI technologies are increasingly being integrated into data engineering processes, with 65% of organizations adopting AI tools to optimize data pipelines and analytics.
Shift to Cloud-Based Data Solutions
Over 70% of companies are migrating their data infrastructure to cloud platforms, leading to a growing demand for data engineers skilled in cloud technologies like AWS and Azure.
Increased Focus on Data Privacy and Compliance
With GDPR and other regulations, 58% of data engineering teams are prioritizing data governance and compliance, creating a need for engineers who understand data security protocols.

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