Senior Data Engineer

Madhive

full-time

Posted on: 8/30/2025

Location: 🇺🇸 United States

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💰 $145,000 - $210,000 per year

Senior

AirflowApacheBigQueryCloudDistributed SystemsETLGoogle Cloud PlatformJavaScriptKafkaNoSQLPostgresSQL

About the role

Design and implement scalable data pipelines for ingesting, processing, and transforming large volumes of universal pixel and event data
Build and maintain real-time and batch workflows using tools like Kafka, Airflow, and BigQuery
Collaborate with engineers and product teams to ensure event data is captured accurately through our JavaScript-based universal pixel
Own and optimize ELT processes to support reporting, analytics, and machine learning use cases
Develop and maintain data models to support internal stakeholders and platform features
Monitor pipeline health, implement anomaly detection, and maintain high data quality standards
Contribute to the evolution of our cloud data infrastructure (built on GCP)
Document data pipelines, models, and operational workflows for transparency and team knowledge sharing
Promote and enforce best practices in data engineering, observability, and data governance

5+ years of experience in software or data engineering, with a focus on building scalable data infrastructure
Strong experience with data pipelining and modeling, including tools like Apache Airflow, Databricks, Snowflake and dbt
In-depth knowledge of streaming technologies such as Apache Kafka
Skilled in designing and maintaining ELT/ETL workflows using modern tooling
Proficient in SQL and comfortable working with both relational and NoSQL databases (e.g., Postgres, Bigtable, Spanner)
Experience working with cloud platforms, ideally GCP
Familiarity with JavaScript and front-end tracking concepts, especially in non-browser environments like CTV
Strong problem-solving and debugging skills, especially with distributed systems and large-scale event data
Excellent collaboration and communication skills
Bonus: experience in adtech, martech, or CTV attribution