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Senior Data Engineer

14 hours, 4 minutes ago
United States
Full-time
Senior
Data Engineer
Software Development
Apache Airflow Apache Spark AWS CI/CD Helm Jenkins Kafka Kubernetes MySQL PostgreSQL Presto Python Snowflake Terraform Trino
Apply Now
Tala

Tala

Tala offers a mobile application that integrates digital and cash financial services, enabling users to manage their credit, savings, and overall financial lives seamlessly in one platform.

Banks
501-1000
Founded 2011
$350M raised
View All Jobs 3

Description

  • Own and operate CDC and data synchronization pipelines that deliver data from market-level databases to Snowflake.
  • Improve pipeline performance, scalability, reliability, latency, and infrastructure cost efficiency.
  • Onboard new data sources, tables, and markets while managing schema evolution and cross-system compatibility.
  • Establish SLOs, monitoring, alerting, and automated data-quality checks.
  • Develop and maintain unit and integration tests, CI/CD workflows, infrastructure-as-code, and safe deployment practices.
  • Troubleshoot production incidents, conduct root cause analyses, and improve runbooks, documentation, testing, and monitoring.
  • Contribute to architecture discussions, technical design documents, and code reviews.
  • Partner with Data Science, Analytics, Data Platform, Product, Credit, and Business Development teams to meet data-access needs.

Requirements

  • 4+ years of backend or data engineering experience, ideally supporting consumer-scale applications.
  • At least 2 years of professional hands-on Python experience.
  • Experience independently building, operating, and improving production-grade data pipelines.
  • Hands-on experience with CDC and stream-processing technologies such as Kafka, Amazon MSK, or AWS DMS.
  • Strong proficiency with Apache Spark, particularly Spark Structured Streaming.
  • Experience with lakehouse architectures and formats such as Apache Iceberg, Delta Lake, Apache Hudi, and Parquet.
  • Experience with relational and analytical databases, including MySQL, PostgreSQL, Amazon RDS, and Snowflake.
  • Hands-on AWS infrastructure experience, ideally with EMR, S3, MSK, DMS, RDS, and EKS.
  • Experience with infrastructure-as-code and CI/CD tools such as Terraform, Terragrunt, Helm, and Jenkins.
  • Familiarity with orchestration and scheduling tools such as Airflow or Python services on Kubernetes.
  • Understanding of distributed systems, scalable algorithms, and large-scale data processing.
  • Clear technical communication and ability to collaborate with engineering and business stakeholders.
  • Experience with Trino or Presto, Kubernetes, AWS Glue, Debezium, Amazon Kinesis, or Apache Flink (preferred).
  • Advanced degree in Computer Science, Mathematics, or a related technical field (preferred).

Benefits

  • Remote-first work environment with office hubs in Santa Monica, Nairobi, Mexico City, Manila, and Bangalore.

Interested in this position?

Apply directly on the company website

Apply Now

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