> Markdown version of [/jobs/ext/2710268-software-engineer](https://www.wearedevelopers.com/jobs/ext/2710268-software-engineer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Software Engineer - **Company:** OTTER, INC. - **Location:** United States - **Experience:** Experienced - **Salary:** $155,000.0 - $185,000.0 - **Contract:** Permanent contract - **Skills:** Java (Programming Language), Airflow, Amazon Web Services, Big Data, Cloud Database, Computer Programming, Data Governance, Data Masking, Python (Programming Language), Role-Based Access Control, SQL Databases, Data Streaming, Data Ingestion, Snowflake, Apache Spark, Containerization, Debezium, Kubernetes, Information Technology, Apache Kafka, Docker, Databricks - **Published:** September 4, 2026 - **Apply:** https://startup.jobs/software-engineer-data-infrastructure-otterai-7581642 ## About the Role * Has a Bachelor's or Master's degree in Computer Science or a related field * 3+ 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), * 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 ## Description * 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 ## Related Videos - [From Messy Queries to Scalable Systems - How Data Engineering actually works](https://www.wearedevelopers.com/videos/100203-from-messy-queries-to-scalable-systems-how-data-engineering-actually-works) - [Alibaba Big Data and Machine Learning Technology](https://www.wearedevelopers.com/videos/37-alibaba-big-data-and-machine-learning-technology) - [Docker Compose: Rediscovered](https://www.wearedevelopers.com/videos/1978-docker-compose-rediscovered) - [Parquet, Delta, Iceberg & Ducklake - An introduction for developers](https://www.wearedevelopers.com/videos/100075-parquet-delta-iceberg-ducklake-an-introduction-for-developers) - [Enjoying SQL data pipelines with dbt](https://www.wearedevelopers.com/videos/823-enjoying-sql-data-pipelines-with-dbt) - [Why and when should we consider Stream Processing frameworks in our solutions](https://www.wearedevelopers.com/videos/1085-why-and-when-should-we-consider-stream-processing-frameworks-in-our-solutions) ## Related Articles - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [How We Built a Worry-Free System That Runs for 10+ Years – And What We’d Do Again](https://www.wearedevelopers.com/magazine/751-how-we-built-a-worry-free-system-that-runs-for-10-years-and-what-we-d-do-again) - [Making Data Warehouses Fast: A Developer’s Story](https://www.wearedevelopers.com/magazine/107-making-data-warehouses-fast-a-developer-s-story) - [The Best X (Twitter) Accounts for Developers](https://www.wearedevelopers.com/magazine/294-the-best-x-twitter-accounts-for-developers) - [Top Big Data Technologies That You Need to Know](https://www.wearedevelopers.com/magazine/108-top-big-data-technologies-that-you-need-to-know) - [Dev Digest 139 - Soft and hard queries](https://www.wearedevelopers.com/magazine/487-dev-digest-139-soft-and-hard-queries)