Design, develop, and optimize data lake solutions to support our scientific data pipelines and analytics capabilities.
Design, develop, and optimize data pipelines and workflows within the Databricks platform.
Design and architect services to meet customer data processing needs.
Implement data quality and governance frameworks to ensure data integrity and compliance.

8+ years of experience in the software development industry, preferably in data engineering, data warehousing r data analytics companies and teams.
Experienced in designing and implementing complex, scalable data pipelines/ETL services.
Expert level of Python, Java, and Typescript.
Extensive in cloud-based data storage and processing technologies, particularly AWS services such as S3, Step Functions, Lambda, and Airflow.
Expert level of understanding and hands-on experience with Lake House architecture.
Ability to articulate ideas clearly, present findings persuasively, and build rapport with clients and team members.

Nice to Have

Knowledge of basic DevOps and MLOps principles
3+ year of experience with the DataBricks ecosystem.
Expert level of experience with Spark/Glue and Delta tables/iseberg.
Working knowledge of Snowflake
Experience in working with Data Scientists and ML Developers
Experience in management and lead developer roles from technology services companies
Hands-on experience with data warehousing solutions and ETL tools.

100% employer-paid benefits for all eligible employees and immediate family members
Unlimited paid time off (PTO)
401K
Flexible working arrangements
Remote work
Company paid Life Insurance, LTD/STD
A culture of continuous improvement where you can grow your career and get coaching

Senior Platform and DataLake Engineer

Key skills