Data Engineer (Data Engineering)

TL;DR

Data Engineer (Data Engineering): Building and maintaining data pipelines and infrastructure to support analytics and business decision-making with an accent on data reliability, accuracy, and timely delivery. Focus on collaborating with cross-functional teams to translate business requirements into engineering tasks and ensuring data quality.

Location: Hybrid (New York City)

Company

hirify.global is the premier mobile gaming company in the United States and Canada, offering a portfolio of leading brands across mobile wagering.

What you will do

• Design, build, and maintain scalable batch and streaming data pipelines.
• Write clean, efficient, and well-documented code using tools like Python, SQL, and Spark.
• Collaborate with data analysts, data scientists, and product managers to deliver actionable data solutions.
• Monitor data pipelines and troubleshoot issues systematically.
• Implement data quality checks and document data sources and transformations.

Requirements

• 2–4 years of experience in data engineering or analytics engineering.
• Strong SQL skills and familiarity with at least one programming language (e.g., Python, Java, or Scala).
• Hands-on experience with modern data tools such as Databricks, Airflow, dbt, Spark, or Kafka.
• Understanding of data modeling concepts and ETL/ELT best practices.
• Experience working with cloud-based data platforms (AWS, GCP, or Azure).