Senior Data Engineer

Talent Connection; San Jose (CA); Remote; USD 120,000 - 180,000; Full time

Job summary

A leading game development studio is seeking a Senior Data Engineer to enhance their data infrastructure. This role focuses on creating scalable data solutions to support analytics, marketing, and AI, ensuring data accessibility and integrity across the organization. Join a remote-first culture that values creativity and inclusivity while enjoying comprehensive benefits and perks.

Benefits

Equity and performance bonus potential

100% employer-paid health benefits

16 weeks of paid parental leave

Home office setup stipend

Paid time off including summer & winter shutdowns

Access to mental health support

Qualifications

• Experience with large-scale data systems like Spark or Flink.
• Advanced SQL and Python skills required.
• Collaborative mindset, preferably with a mobile games background.

Responsibilities

• Design and maintain scalable data pipelines for analytics.
• Ensure data quality for player acquisition and retention.
• Collaborate with teams to deliver self-service analytics solutions.

Skills

Distributed data systems

SQL

Python

Data quality optimization

Collaboration

Marketing analytics

Tools

Spark

Flink

Databricks

AWS

Airflow

Redis

DynamoDB

Job description

About the Company
Our client is a top-tier, remote-first game development studio behind one of the most recognized mobile titles of the past few years. Their games have received multiple industry awards and are played by millions globally. The company fosters creativity, inclusivity, and innovation, with a strong commitment to building fun, player-first experiences.

Job Description

About the Role
As a Senior Data Engineer, you’ll be at the heart of the data infrastructure supporting their analytics, marketing, and AI teams. You’ll ensure that clean, accessible data flows across the organization to support smarter user acquisition, retention strategies, and game optimization. This is a collaborative, high-impact role focused on scalability, automation, and actionable insights.

What You’ll Do

Design, build, and maintain scalable data pipelines to support analytics and reporting

Ensure high-quality marketing and game data to optimize player acquisition and retention

Collaborate with cross-functional teams (analytics, product, engineering, AI) to deliver self-service analytics solutions

Develop tooling and processes that empower teams to make fast, data-informed decisions

Continuously improve data accessibility and integrity across the organization

Qualifications

What You Bring

Strong experience with large-scale distributed data systems (e.g., Spark, Flink)

Advanced SQL and Python skills

Experience with modern data platforms and cloud tools (e.g., Databricks, AWS)

Solid understanding of ELT/ETL processes and orchestration tools like Airflow or Beam

Familiarity with marketing analytics platforms (e.g., Braze, AppsFlyer)

A collaborative mindset and the ability to thrive in a cross-functional environment

Background in mobile or live-service games

Experience with backend development (C# preferred)

Familiarity with recommendation engines or live player data systems

Knowledge of NoSQL or operational databases (e.g., Redis, DynamoDB)

Additional Information

Benefits & Perks

Equity and annual performance bonus potential

100% employer-paid health benefits (and 75% for dependents)

16 weeks of paid parental leave

Home office setup stipend

Paid time off, including company-wide summer & winter shutdowns

Remote-first work culture with core hours (10AM–4PM PT)

Access to mental health support through BetterHelp