Bachelor's degree in Computer Science or related field
Strong programming skills in Python and SQL
Expertise with cloud data warehouses such as Snowflake, BigQuery, or Databricks
Experience building and maintaining ETL/ELT pipelines
Familiarity with workflow orchestration tools (e.g., Airflow, dbt)
Strong data modeling skills for analytical workloads
Experience with cloud platforms (preferably AWS)
Responsibilities
Build and own foundational data models for analytics and business metrics
Design, operate, and scale reliable data pipelines and platforms
Partner with stakeholders to create trusted data products
Influence data collection standards across production systems
Establish best practices for data modeling, quality, and governance
Implement data quality checks and anomaly detection
Provide technical leadership to enhance data reliability and literacy
Benefits
Diversity and inclusion commitment
Support for reasonable accommodations during hiring
Insight into future work trends through advanced AI tools
Opportunity to impact how data is utilized in decision-making
Access to cutting-edge technology in AI and SaaS environments
Full Job Description
The Opportunity
We are looking for an experienced Software Engineer with a passion for building robust and scalable data infrastructure to join our Data Platform team. In this role, you'll design and develop the foundational systems that power the flow of data across the company, enabling fast insights and smarter decisions as we grow. Our mission is to create a platform that turns raw information into actionable intelligence - efficiently, reliably, and at scale. If you're excited about building the backbone of a data-driven organization and thrive in a space where engineering excellence meets real-world impact, we'd love to talk. Your Impact
Design and build resilient systems for real-time data movement, processing, and storage
Scale data infrastructure to support our rapidly growing business needs
Unlock actionable insights by enabling seamless, governed access to high-quality, trustworthy data
Drive innovation in data ingestion, transformation, and delivery across the company
Establish best practices that balance performance, flexibility, and governance at scale
We're Looking for Someone Who
Has a Bachelor's or Master's degree in Computer Science or a related field
Has 4+ years engineering experience (2+ years in data infrastructure)
Has strong programming skills, preferably in Python or Java
Has expertise with cloud data lakes such as Snowflake or Databricks
Has experience with streaming and big data processing frameworks (e.g., Kafka, Spark)
Is experienced with workflow orchestration systems (e.g., Apache Airflow, Dagster, Prefect)
Has implemented CDC solutions (e.g., Debezium, Maxwell)
Has experience with cloud platforms (preferably AWS) and containerization tools (e.g., Docker, Kubernetes)
Nice to Haves
exposure to data governance, PII handling, or policy-driven access control - e.g., RBAC at scale, SQL-level data masking, or policy compiler / lineage systems
Salary range
Salary Range: $155,000 to $185,000 USD per year.
This salary range represents the low and high end of the estimated salary range for this position. The actual base salary offered for the role is dependent on several factors. Our base salary is just one component of a comprehensive total rewards package.
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About Otter.ai
Otter.ai is an AI-powered transcription service that uses machine learning algorithms to transcribe audio and video recordings. The platform is used by businesses, journalists, and other professionals to transcribe interviews, meetings, and other recordings. Otter.ai's platform is designed to be easy to use and offers a range of features, including real-time transcription and collaboration tools.
