Senior Data Engineer

  • Full Time
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Money is the primary source of stress for Americans, and Tally is dedicated to alleviating this stress and improving people's financial situations. Tally assists clients on their financial journey, enabling them to manage their credit card debt, save money on interest, and pay off their debts more efficiently.

We are assembling a team that is dedicated to excellence in all areas and committed to embodying Tally’s values of Don't Stay Silent, Assume Responsibility, and Change Perspectives Regularly. Get more detailed information about who we are and the values we uphold .

Tally has secured funds from some of the world's leading investors, such as Andreessen Horowitz and Kleiner Perkins, and has managed to raise a total of $172 million so far.

Our Data Platform team takes charge of our data infrastructure, designs and implements crucial data pipelines, enables data-based decision-making by constructing data products, consistently maintains high coding standards to enhance the availability, reliability, and precision of our data, and provides support to all in-house teams. Our Data platform employs AWS Redshift as well as AWS S3 and Glue catalog-based solutions to create a data lake, along with other ubiquitous data distributed SQL engines. We utilize Apache Airflow as our chief orchestration and workflow tracking platform.

As a Senior Data Engineer, your role will involve creating solutions that convert millions of data points into actionable insights. Your work will be focused on enhancing the data architecture and its scalability, and you will design data architectures to accommodate the needs of all business departments.

Core Technologies:

Apache Spark, Scala, Apache Kafka, Kinesis, Python, Airflow, EMR, ECS