17 days ago
New York, NY, USA
Mid Level / Senior
H1B Sponsor
Base Salary
$125k - $179k/yr
Responsibilities
- Design, build, and operate backend services and large-scale data pipelines for Native Ads.
- Develop and maintain data infrastructure for ML forecasting models.
- Build systems for bulk buying workflows and high-throughput forecast serving.
- Contribute to supply optimization systems for campaign pacing and revenue maximization.
- Collaborate with data scientists and ML engineers to productionize prediction models.
- Drive improvements in data quality, pipeline reliability, and system observability.
- Work in an agile squad with product managers and other engineers to achieve objectives.
Requirements
- 3+ years of professional experience in backend engineering with exposure to data engineering or ML infrastructure.
- Proficient in at least one backend language such as Java, Scala, or Python.
- Experience with distributed data processing frameworks like Apache Beam or Spark.
- Familiarity with cloud data platforms, ideally GCP, including BigQuery and Dataflow.
- Understanding of data modeling, pipeline orchestration, and batch vs. streaming architectures.
- Commitment to data quality and system reliability.
- Excitement for working at the intersection of backend systems and data/ML.
- Ability to thrive in collaborative, cross-functional environments.
Benefits
- Health insurance.
- Six months paid parental leave.
- 401(k) retirement plan.
- Monthly meal allowance.
- 23 paid days off.
- 13 paid flexible holidays.
Tech Stack
Apache BeamApache FlinkApache SparkGoogle BigQueryGoogle Cloud PlatformJavaPythonScala
Categories
AI & MLBackendData Engineering