TulaCo

Data engineer

In short

A senior Data Engineer role at TulaCo, a US-based (Santa Monica HQ) company that builds and scales tech products for startups and mid-sized clients, working remotely with a team spanning the US and Eastern Europe. The job involves designing and maintaining scalable data pipelines and ETL processes, integrating data from APIs, and ensuring data quality and architecture best practices. It requires 3+ years of data engineering experience, strong SQL and Python skills, and hands-on experience with Apache Spark, Airflow, AWS, and Terraform/CI-CD.

About TulaCo
At TulaCo we build, launch, and scale successful tech companies. Since 2010 we've been enabling USA-based startups, entrepreneurs, and mid-sized companies to innovate and make impactful applications. Our team unites over 150+ engineers in our HQ in Santa Monica, USA, and across Eastern Europe. We have a startup-like environment that values proactiveness, creative problem solving, and a flat hierarchy, where changes are driven by the team.
Responsibilities
•Design, build, and maintain scalable data pipelines and ETL processes to support our client's product and reporting features
•Integrate and automate data collection from various APIs to ensure seamless data flow into our infrastructure
•Create and optimize data views to enable effective product development and reporting capabilities
•Collaborate with cross-functional teams, including product and engineering, to ensure that data solutions meet business needs and objectives
•Ensure data quality, data integrity, and scalability within our data environment
•Provide technical guidance on data architecture and best practices for handling large volumes of data
•Troubleshoot and resolve data issues and pipeline failures in a timely manner
•Stay up-to-date with the latest trends and technologies in data engineering and integrate them into our processes as applicable
Requirements
•3+ years of experience in data engineering or a similar role
•Proficiency in SQL and experience with relational databases and Data Lakehouse concepts
•Hands-on experience with ETL processes, data pipeline design, and data integration
•Familiarity with Apache Spark, Apache Iceberg, Amazon Athena
•Strong knowledge of Apache Airflow, including hands-on experience in designing, scheduling, and managing data pipelines and workflows
•Strong programming skills in Python
•Experience with cloud platforms such as AWS
•Familiarity with API integration and handling data from third-party sources
•Hands-on experience with Terraform and CI/CD pipelines for automating infrastructure provisioning, deployment, and management
•Strong communication skills to work effectively in a collaborative team environment
Nice to have
•Experience with Looker or similar data visualization tools
•Experience in marketing or advertising technology
Conditions
No conditions are stated in the posting.

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