Data Engineer – Data Platform
ExitLag
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Benefits offered by this job
Job summary
ExitLag is hiring for a data platform role focused on building a reliable lakehouse using Apache Iceberg and an in-house ingestion suite.
You will work with Kubernetes, dbt, and streaming technologies to support Analytics, Data Science, Product, and Growth teams. Global, remote-first company offering strong growth and learning opportunities.
Qualifications
- 3+ years of experience in data engineering or software engineering with a focus on data.
- Advanced Python and SQL; Java or Scala (a plus, especially for Flink).
- Streaming with Apache Flink (Spark/Kafka Streams/Bytewax also considered).
- Kafka (Pulsar/Kinesis/ Pub/Sub also considered).
- CDC from relational databases using Debezium or Flink CDC.
- Data contracts and schema management (Avro/Protobuf/JSON Schema).
- dbt, Airflow, and ClickHouse experience is a plus.
- Kubernetes for running data workloads; Rust experience a plus.
Responsibilities
- Build and evolve the lakehouse using Apache Iceberg with the infrastructure team.
- Design and develop the ingestion suite managed by dbt and orchestrated on Kubernetes.
- Implement CDC from relational databases and maintain data contracts.
- Develop streaming apps with Flink and Kafka for low latency and fault tolerance.
- Develop and maintain batch pipelines with Airflow.
- Manage analytics layer in ClickHouse Cloud, optimizing modeling and costs.
- Ensure data quality, observability, and reliable reprocessing.
- Document architectures, decisions, and runbooks clearly.
- Create reusable components to enable self-service for user teams.
- Participate in platform architecture and roadmap decisions.
Skills
Tools
Job description
We’re the first AI-powered game optimization platform, ensuring maximum performance and connection stability for millions of players in over 190 countries.
We were founded in Brazil, but we operate with a global mindset, a high-performance culture, and a total focus on the user experience. Here, gaming is serious business, and we always deliver in PRO mode.
A workplace recognized by people, with a strong culture, collaboration, and a team that plays together every day.
Your work impacts millions of gamers around the world and helps transform the gaming experience every day.
Here you’ll find autonomy, leadership opportunities, real challenges, and room to grow both technically and professionally.
We’re Remote First and operate globally. Where you are never limits the scope of your career.
At ExitLag, you’ll find more than just a job, you’ll find a journey with purpose.
We want you to:
Connect with your purpose
Take pride in what you build
Grow alongside people who challenge and support you every day
Be part of a global, innovative, and constantly evolving company
Experience a culture that truly believes in the power of gaming and technology
Build and evolve ExitLag’s data platform, ensuring that data is ingested, stored, and made available in a reliable, scalable, and governed manner. The individual will be responsible for the technical foundation that supports the Analytics, Data Science, Product, and Growth teams.
We have a culture of in-house development: our lakehouse on Apache Iceberg is being built from scratch alongside the infrastructure team, on top of Kubernetes, and the new ingestion suite will be managed by dbt, with data contracts and dead-letter queues from day one.
- Build and evolve the lakehouse using Apache Iceberg, in close collaboration with the infrastructure team.
- Design and develop the ingestion suite managed by dbt and orchestrated on
- Kubernetes, with data contracts, schema validation, and a DLQ for handling invalid records.
- Define and maintain data contracts with producer teams, including rules for schema evolution and compatibility.
- Implement and operate CDC from transactional databases (MySQL/MariaDB and PostgreSQL).
- Develop and operate streaming applications in Flink, consuming and producing data in Kafka, with a focus on low latency and fault tolerance.
- Develop and maintain batch pipelines orchestrated in Airflow.
- Manage the analytics layer in ClickHouse Cloud, optimizing modeling, query performance, and costs.
- Ensure data quality, observability, and reliability (testing, monitoring, alerts, and reprocessing from the DLQ).
- Document all processes, pipelines, and implementations clearly, comprehensively, and in a timely manner, including architecture, technical decisions, runbooks, and data contracts.
- Build robust, durable, and easily maintainable solutions, prioritizing clean code, automated testing, and consistent standards across projects.
- Create reusable components and best practices that enable self-service for user teams.
- Participate in decisions regarding the platform's architecture and roadmap.
- 3+ years of experience in data engineering or software engineering with a focus on data.
- Advanced Python and SQL; Java or Scala (a plus, especially for Flink).
- Streaming with Apache Flink (Spark Structured Streaming, Kafka Streams, Bytewax, or similar technologies are also considered), including event time, watermarks, windows, and state management.
- Kafka (Pulsar, Kinesis, or Pub/Sub are also considered).
- CDC from relational databases (MySQL/MariaDB binlog, PostgreSQL WAL), using Debezium, Flink CDC, or in-house solutions.
- Data contracts and schema management (Avro, Protobuf, or JSON Schema; schema registry; evolution and compatibility).
- Error-handling patterns in ingestion: dead-letter queues, reprocessing, and idempotence.
- Apache Iceberg (Delta Lake or Hudi are also considered), including catalog, partitioning, compaction, and snapshot management.
- dbt.
- Airflow (Dagster or Prefect are also considered).
- Columnar analytical databases, ideally ClickHouse (Druid, Pinot, BigQuery, or Snowflake are also considered).
- MySQL/MariaDB and/or PostgreSQL.
- Software engineering best practices: Git, testing, code review, and CI/CD.
- Technical English for reading documentation and written communication.
- Kubernetes, especially for running data workloads (strong plus).
- Rust, since we have event ingestion and enrichment services written in Rust that the team will be expected to take over in the future (plus).
- Knowledge of AI/LLM: applications with LLMs, observability, and evaluation of models, such as Langfuse and LiteLLM (a plus).
- Experience building or operating self-hosted lakehouses, not just managed services (a plus).
- Query engines for Iceberg, such as Trino, Spark, or StarRocks (a plus).
- Data quality and observability tools, such as Great Expectations, Soda, or OpenLineage (a plus).
- Contributions to open-source projects in this field (a plus).
Here, we believe that high-performing individuals deserve an environment that fosters their growth and recognizes their achievements.
13th-month salary (annual bonus)
Performance Bonus (In-Company Goal): opportunity to earn up to 5 extra months’ salary per year, based on the company’s results.
Stock Options after 6 months with the company, allowing you to grow alongside ExitLag.
30 days of paid vacation
A day off on your birthday, so you can make the most of your special day.
Bradesco Health Insurance, 100% covered by the company for the primary beneficiary.
Zenklub and TotalPass, promoting your physical and emotional well-being.
R$1,200/month Flash Card, with flexible use for meals, working from home, and much more.
Educational subsidy of up to 50% for courses and specializations (after 6 months).
Structured career path, with performance review cycles and real opportunities for growth and promotion.
Unlimited access to ExitLag Premium, so you can enjoy our product without restrictions.
We know that a good start makes all the difference.
That’s why your first few days will be dedicated to an immersive onboarding experience, during which you’ll get to know our culture, our products, how we work, and the company’s key areas.
In addition, you’ll receive our Ramp-Up Workbook—a structured guide to support your journey during your first few months—filled with information, goals, best practices, and guidance that will help you adapt and accelerate your integration into the team.
You’ll also have a Buddy—an ExitLag employee who will be your partner during this initial phase, helping with day-to-day questions, sharing knowledge, and making your onboarding experience even more welcoming.
Our goal is to ensure you have a smooth, welcoming, and well-prepared start so you can thrive with confidence from day one.
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