Software Engineer, Data

Title: Software Engineer, Data Eng Level: L2 or L3 Location: São Paulo, Brazil Work setup: Initially remote until we open the office and then Hybrid (2-3 days/week in the office) Comp: $3800-$4200 USD per month Company Talent Systems, LLC is the leading technology solution provider for casting and auditioning to the entertainment industry. Casting directors and agents worldwide use Talent Systems' portfolio of products to source and manage talent across film, television, commercials, theater and digital projects, powering an unparalleled, global casting software ecosystem. We are headquartered in Los Angeles and operate in the US, Canada, UK, Australia and India. Our portfolio brands include Casting Networks, Spotlight, Cast It Systems, Cast It Talent, Casting Frontier, Staff Me Up, Cast It Reach & Tagmin. Job Description We are seeking a Software Engineer, Data Engineering to join our Data Engineering team, where you will play a key role in building and scaling the data platforms, AI/ML infrastructure, and storage systems that power analytics, BI, and AI/ML initiatives across the company. Working under the guidance of the Head of Data Engineering, you'll design and implement robust pipelines, improve data infrastructure, and collaborate closely with business and technical stakeholders. This role is ideal for an engineer who is passionate about solving complex data problems in advancing our capabilities in BI and AI and other related technologies. Data Engineering & Development ○ Design, build, and maintain scalable ETL/ELT pipelines to support analytics, BI, and operational use cases. ○ Contribute to the architecture and development of our data lake and data warehouse platforms using Snowflake. ○ Optimize workflows for data ingestion, transformation, and storage in cloud environments in AWS. ○ Implement data quality checks, monitoring, and observability tools. Collaboration & Delivery ○ Work closely with data analysts, BI developers, and data scientists to understand requirements and deliver trusted datasets. ○ Partner with software engineering teams to integrate data flows into core products and services. ○ Participate in Agile ceremonies and ensure high-quality, timely delivery of data features. Innovation & Growth ○ Stay current with modern data engineering practices, tools, and technologies. ○ Contribute ideas for improving data platform performance, scalability, and cost efficiency. ○ Take initiative in troubleshooting, debugging, and optimizing existing pipelines. Required ○ 3+ (L2) or 5+ (L3) years of professional software engineering or data engineering experience. ○ Strong proficiency in Python, Java, or Scala for data processing. ○ Advanced SQL skills and experience with relational databases. ○ Hands-on experience with cloud data platforms such as Snowflake (preferred), BigQuery, Redshift, Databricks. ○ Familiarity with ETL/ELT frameworks and workflow orchestration (Airflow, dbt, Luigi, Dagster). ○ Understanding of data modeling (dimensional modeling, star/snowflake schemas). Preferred ○ Exposure to streaming technologies (Kafka, Kinesis, Flink, Spark Structured Streaming). ○ Knowledge of data governance, lineage, and cataloging practices. ○ Experience with containerization and DevOps (Docker, Kubernetes, CI/CD). Soft skills: ○ Strong communication and collaboration skills, with the ability to work effectively in cross-functional teams from different cultures and geolocations. ○ Strong sense of urgency and ability to deliver results in a fast-paced environment. ○ Exceptional attention to detail and commitment to quality. ○ Excellent problem-solving skills and a customer-first mindset. ○ Strong communication and collaboration skills, with the ability to work effectively in cross-functional teams from different cultures and geolocations.