Senior Data Engineer

20 Minutes ago • 5 Years +

Data Analysis

Job Description

GameDistrict is seeking a Senior Data Engineer to lead and scale its end-to-end data infrastructure for marketing, monetization, and analytics across its gaming portfolio. The role involves designing, building, and optimizing data pipelines from various sources like Adjust, ad network APIs, and in-game data. The Senior Data Engineer will also set technical direction, establish best practices, and mentor junior engineers to ensure reliable and scalable data systems.

Good To Have:

Experience with real-time streaming (Kafka, Flink, Kinesis).
Familiarity with BI tools (Power BI, Looker, DataLens).
Experience in gaming analytics, user acquisition, or pLTV modeling.

Must Have:

Lead the architecture, design, and optimization of our data platform (AWS → Iceberg → StarRocks).
Build and maintain ETL/ELT pipelines ingesting data from Mobile Measurement Partners (MMPs) like Adjust, Ad network APIs, and Monetization and in-app purchase data sources.
Define and enforce data engineering best practices (testing, CI/CD, versioning, documentation).
Collaborate with analysts, scientists, and marketing teams to design performant data models.
Establish a data roadmap, ensuring scalability, cost-efficiency, and reliability.
Implement data observability, alerting, and performance monitoring systems.
Mentor and support junior data engineers, promoting high engineering standards.
5+ years of experience in data engineering or related roles.
Bachelor’s degree in a STEM field (Computer Science, Engineering, Mathematics, or related).
Strong expertise with AWS (S3, Glue, Lambda, Athena).
Strong expertise with Apache Iceberg or similar lakehouse technologies (Delta Lake, Hudi).
Strong expertise with StarRocks / CelerData, ClickHouse, or similar MPP systems.
Proficiency in Python for data processing and API integration.
Strong SQL and data modeling skills.
Hands-on experience integrating marketing and ad network APIs.
Familiarity with Airflow, dbt, or other orchestration tools.
Strong communication, leadership, and cross-functional collaboration skills.

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We’re looking for a Senior Data Engineer to own and scale our end-to-end data infrastructure that powers marketing, monetization, and analytics across our gaming portfolio. You’ll design, build, and optimize data pipelines from Adjust, ad network APIs, and in-game data sources into our data stack. As a team leader, you’ll set the technical direction, establish best practices, and mentor other engineers to deliver reliable and scalable data systems.

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Key Responsibilities

Lead the architecture, design, and optimization of our data platform (AWS → Iceberg → StarRocks).
Build and maintain ETL/ELT pipelines ingesting data from:
Mobile Measurement Partners (MMPs) like Adjust
Ad network APIs (Meta, Google Ads, AppLovin, Unity Ads, IronSource, etc.)
Monetization and in-app purchase data sources
Define and enforce data engineering best practices (testing, CI/CD, versioning, documentation).
Collaborate with analysts, scientists, and marketing teams to design performant data models.
Establish a data roadmap, ensuring scalability, cost-efficiency, and reliability.
Implement data observability, alerting, and performance monitoring systems.
Mentor and support junior data engineers, promoting high engineering standards.

***

Requirements

5+ years of experience in data engineering or related roles.
Bachelor’s degree in a STEM field (Computer Science, Engineering, Mathematics, or related).
Strong expertise with:
AWS (S3, Glue, Lambda, Athena)
Apache Iceberg or similar lakehouse technologies (Delta Lake, Hudi)
StarRocks / CelerData, ClickHouse, or similar MPP systems
Proficiency in Python for data processing and API integration.
Strong SQL and data modeling skills.
Hands-on experience integrating marketing and ad network APIs.
Familiarity with Airflow, dbt, or other orchestration tools.
Strong communication, leadership, and cross-functional collaboration skills.