Senior Data Engineer - Remote Global Data Platform

Jobgether

United States

Remote

USD 130,000 - 200,000

Full time

17 hours ago
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Benefits offered by this job

Fully remote
International team
Competitive salary

Job summary

Jobgether, via a partner company, is seeking a Senior Data Engineer based in the United States to build, operate, and optimize data infrastructure powering analytics and BI across global markets. In this role you will own CDC pipelines, ensure timely data delivery into Snowflake, and collaborate with Data Science, Analytics, and Product teams to provide reliable data access.

You will focus on CI/CD, IaC, monitoring, and data quality checks while contributing to scalable, distributed data systems

Qualifications

  • 4+ years in backend or data engineering for consumer-scale apps.
  • 2+ years Python development.
  • Proficient in CDC and data pipelines with streaming tech (Kafka/MSK/DMS).
  • Strong Spark expertise, especially Structured Streaming.
  • Experience with lakehouse formats (Iceberg/Delta/Hudi) and Parquet.
  • DB knowledge across MySQL, PostgreSQL, RDS, Snowflake.
  • AWS cloud infra experience (EMR/S3/MSK/DMS/RDS/EKS).
  • Infrastructure-as-code and CI/CD (Terraform, Terragrunt, Helm, Jenkins).
  • Airflow or Kubernetes-based job scheduling.
  • Strong understanding of distributed systems and large-scale data processing.
  • Excellent problem-solving and analytical skills; strong communication.
  • Ability to work independently and collaborate across teams.

Responsibilities

  • Own, maintain, and improve CDC and data synchronization pipelines into Snowflake.
  • Optimize pipeline performance, scalability, and cost across multiple markets.
  • Design and onboard new data sources, tables, and markets while handling schema changes.
  • Implement monitoring, SLOs, and automated data quality checks for reliability.
  • Develop tests, CI/CD, IaC, and safe deployment strategies (dry runs, blue-green).
  • Troubleshoot incidents, conduct root-cause analyses, and update runbooks and docs.
  • Contribute to architectural design discussions and peer reviews for code quality.
  • Collaborate with Data Science, Analytics, Data Platform, Product, and Business teams.
  • Take end-to-end ownership of production data systems from dev to operations.

Skills

Problem solving
Analytical thinking
Written communication
Verbal communication
Independence
Cross-team collaboration

Tools

Kafka
Spark
Apache Iceberg
Delta Lake
Apache Hudi
Parquet
MySQL
PostgreSQL
Snowflake
AWS EMR
S3
MSK
DMS
RDS
EKS
Terraform
Terragrunt
Helm
Jenkins
Airflow
Kubernetes
Debezium
Kinesis
Flink
Trino
Presto

Job description

Jobgether, via a partner company, is seeking a Senior Data Engineer based in the United States to build, operate, and optimize data infrastructure powering analytics and BI across global markets. In this role you will own CDC pipelines, ensure timely data delivery into Snowflake, and collaborate with Data Science, Analytics, and Product teams to provide reliable data access.

You will focus on CI/CD, IaC, monitoring, and data quality checks while contributing to scalable, distributed data systems

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