Note: The job is a remote job and is open to candidates in USA. Blankfactor is dedicated to engineering impact, building high-quality tech solutions for companies in fast-moving industries. They are seeking a Senior Data Engineer to help scale and modernize data environments within the embedded finance and payments space, transforming raw data into high-value insights while ensuring data integrity and platform reliability.
Responsibilities
- Ingest and manage large-scale data architecture across AWS-based data stores including S3, Glue, Athena, and LakeFormation
- Interface with cross-functional technology teams to extract, transform, and load (ETL) data from a wide variety of transactional and analytical data sources using SQL and AWS big data technologies
- Continually improve, automate, and simplify ongoing data ingestion, engineering, reporting, and analysis processes to enable scalable, self-service support for business partners
- Partner closely with portal, operations, risk, and finance engineering teams to recognize and drive the adoption of data best practices, focusing heavily on data integrity/quality, robust pipeline analysis, rigorous validation, and documentation
- Act as a technical mentor to fellow team members, championing a culture of continuous learning and high engineering standards
- Create and optimize schemas and data models that align with complex business logic
Skills
- 5+ years of dedicated data engineering experience
- Proven expertise in Python (Spark) based ETL design, implementation, and production maintenance
- Strong proficiency with Python, JavaScript, and Pandas
- Deep hands-on experience designing and implementing infrastructure with: AWS S3, Glue, Athena, QuickSight, LakeFormation, and Lambda
- AWS CLI, SDK, and IAM
- Advanced expertise in schema design, data modeling, and writing highly optimized, complex SQL queries
- Familiarity working with either Apache Spark, Presto, Hudi, Hive, Hadoop, MapReduce, or similar MPP systems
- Highly motivated, open-minded problem solver with a passion for tackling tough technical challenges
- Exceptional communication and collaboration skills; a true team player with a positive, proactive mindset
- Strong educational foundation (Bachelor's or Master's degree in Computer Science, Information Systems, or an equivalent combination of education, training, and work experience)
- Direct experience working within the payments, billing, or financial services domain is highly advantageous
- Some exposure or foundational experience with Machine Learning workflows (e.g., AWS SageMaker) is a major plus
Benefits
- This position is remote within the US as a full time position
Company Overview