Back to SearchLead Data Software Engineer
Remote in Argentina, & 4 others
Data Software Engineering& 7 others
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Our team is expanding, and we're in search of a Lead Data Software Engineer to join us. This position is well-suited for an individual who enjoys engineering resilient data systems that inform key business decisions. You'll work alongside a group committed to producing clean, well-validated code and maintaining disciplined engineering practices. For someone drawn to solving data problems at scale, this role presents considerable opportunity for growth and lasting impact
Responsibilities
- Build and structure scalable data pipelines that ensure reliable data flow across a variety of systems
- Develop and keep up ingestion pipelines that source data from multiple, varied origin systems
- Write clean, high-quality, well-tested code rooted in sound software engineering practices
- Work together with cross-departmental teams to understand data needs and convert them into viable technical solutions
- Observe data pipeline performance closely, addressing potential issues early to maintain consistent system reliability
- Contribute to code review processes to help sustain quality expectations and share insights across the team
- Investigate and correct data quality concerns to maintain dataset accuracy and consistency
- Play a part in continuously refining data architecture methods and engineering standards
- Compile documentation covering technical processes and solutions to facilitate knowledge sharing and support new hire onboarding
- Work inside an agile structure, engaging in sprint planning and other routine team gatherings
Requirements
- At least 5 years of relevant practical experience in the field
- A minimum of one year spent in roles leading and managing development teams
- Demonstrated skill with PySpark and Spark SQL for developing and managing large-scale data workflows
- Hands-on background constructing and supervising Lakeflow pipelines and Jobs for data orchestration purposes
- Proficient with Auto Loader and JDBC/CDC ingestion strategies, including experience with sources like DB2 and SQL Server
- Strong familiarity with Delta Lake and Unity Catalog for managing data storage and governance requirements
- Track record maintaining data quality and carrying out source reconciliation to ensure accurate, trustworthy data
- Background developing unit tests using pytest to validate code reliability and correctness
- Working knowledge of Git and Asset Bundles to support version control and deployment management
- Upper-intermediate English language skills or higher (B2)
Nice to have
- Experience participating in DataStage migration efforts
- Background extracting data from Dynamics 365/Dataverse systems
- Databricks certification held