United States onlyAbout Us
Observe.AI is transforming customer service with AI agents that speak, think, and act like your best human agents—helping enterprises automate routine customer calls and workflows, support agents in real time, and uncover powerful insights from every interaction.
With Observe.AI, businesses boost automation, deliver faster, more consistent 24/7 service and build stronger customer loyalty.
Trusted by brands like Accolade, Prudential, Concentrix, Cox Automotive, and Included Health, Observe.AI is redefining how businesses connect with customers—driving better experiences and lasting relationships at every touchpoint.
The Opportunity
We are seeking a highly skilled and experienced Senior Data Engineer to join our dynamic team. In this role, you will be responsible for designing, developing, and maintaining scalable data solutions that drive business insights and decision-making. You will collaborate with cross-functional teams to build robust data pipelines, optimize data architectures, and ensure data quality and integrity.
What you’ll be doing
- Design and Develop Data Solutions: Architect and implement scalable, high-performance data models and ETL/ELT pipelines in AWS.
- Data Integration: Integrate data from diverse sources, ensuring seamless data flow and consistency across systems.
- Optimize Data Infrastructure: Continuously monitor and enhance data systems for performance, scalability, and reliability.
- Collaborate with Stakeholders: Work closely with data scientists, analysts, and business teams to understand data requirements and deliver solutions that meet business needs.
- Implement Best Practices: Establish and promote data engineering best practices, including data modeling, coding standards, and documentation.
- Mentorship: Guide and mentor junior data engineers, fostering a culture of continuous learning and improvement.
What you bring to the role
- Bachelor’s degree in Computer Science, Engineering, Mathematics, or a related field.
- 5+ years of industry experience in data engineering or a related field.
- Proficiency in SQL and experience with data warehouse like Snowflake.
- Strong programming skills in languages like Python, Java, Scala, or Node.js.
- Experience in building and maintaining large-scale ETL/ELT pipelines.
- Familiarity with big data technologies such as Hadoop, Spark, or Hive.
- Experience with cloud platforms, preferably AWS
What you can expect
- Competitive compensation including equity
- Excellent medical, dental, and vision insurance options
- Flexible time off
- 10 Company holidays + Winter Break and up to 16-weeks of parental leave
- 401K plan
- Quarterly Lifestyle Spend
- Monthly Mobile + Internet Stipend
- Pre-tax Commuter Benefits
Salary Range
The base salary compensation range targeted for this full-time position is $204,000-$261,000per annum. Compensation may vary outside of this range depending on a number of factors, including a candidate’s qualifications, skills, competencies and experience. Base pay is one part of the Total Package that is provided to compensate and recognize employees for their work, and this role may be eligible for additional discretionary bonuses/incentives and equity (in the form of options). This salary range is an estimate, and the actual salary may vary based on the Company’s compensation practices.
Our Commitment to Inclusion and Belonging
Observe.AI is an Equal Employment Opportunity employer that proudly pursues and hires a diverse workforce. Observe AI does not make hiring or employment decisions on the basis of race, color, religion or religious belief, ethnic or national origin, nationality, sex, gender, gender identity, sexual orientation, disability, age, military or veteran status, or any other basis protected by applicable local, state, or federal laws or prohibited by Company policy. Observe.AI also strives for a healthy and safe workplace and strictly prohibits harassment of any kind.
We welcome all people. We celebrate diversity of all kinds and are committed to creating an inclusive culture built on a foundation of respect for all individuals. We seek to hire, develop, and retain talented people from all backgrounds. Individuals from non-traditional backgrounds, historically marginalized or underrepresented groups are strongly encouraged to apply.
If you are ambitious, make an impact wherever you go, and you're ready to shape the future of Observe.AI, we encourage you to apply. For more information, visitwww.observe.ai.
