Data Platform Engineer

To excel as a Data Platform Engineer at GameChanger, candidates should have a strong software engineering foundation. Essential skills include proficiency in Python and SQL, with 4+ years of experience as a data or backend engineer. Familiarity with technologies such as Airflow, Docker, Kafka, AWS, and Terraform is highly beneficial. Candidates should also be comfortable with Git for version control and CI/CD workflows. A collaborative spirit and the ability to understand and resolve data needs across teams will enhance your contributions to GameChanger.

As a Data Platform Engineer at GameChanger, your primary responsibilities include developing and maintaining efficient data pipelines that support analytics needs across the organization. You will improve the performance and reliability of existing data systems and collaborate with various teams to understand and respond to data needs. A focus on security and compliance regarding data privacy is crucial, along with participation in code reviews and technical documentation to bolster our knowledge-sharing efforts.

At GameChanger, Data Platform Engineers leverage a range of technologies to create optimal data solutions. Proficient use of Python and SQL is a must, paired with deep familiarity with data orchestration tools like Airflow. Additionally, experience with Docker for containerization, Kafka for data streaming, and AWS for cloud-based solutions is advantageous. Familiarity with Terraform for infrastructure as code and Snowflake for data warehousing are also key to successful performance in this role.

Collaboration is a cornerstone of the Data Platform Engineer role at GameChanger. Engineers work closely with both data producers and consumers within the organization to identify and implement efficient data solutions. Regular communication and feedback loops ensure that everyone is aligned on data needs, fostering an environment of problem-solving and innovation. Opportunities for technical discussions and knowledge sharing reinforce this collaborative spirit, allowing you to contribute effectively to team goals.

GameChanger provides an attractive benefits package to its Data Platform Engineers, including a remote working option and unlimited vacation policy. Team members receive a technology stipend every two years to ensure they have the best tools for their roles. Additional perks include a monthly wellness stipend, comprehensive health benefits, generous parental leave, and retirement savings plans with company matching—all designed to promote a healthy work-life balance while fostering professional growth.

When answering this question, highlight specific projects or processes you've worked on, detailing how you approached the design and implementation of data pipelines. Focus on your methodology, the technologies used, and how you addressed challenges along the way. Illustrating your contribution to performance improvements or resolving data-related issues will demonstrate your expertise effectively.

Discuss the best practices you adhere to, such as version control using Git, writing clean and maintainable code, conducting thorough testing, and implementing CI/CD pipelines. Emphasizing the importance of code reviews and collaborative collaboration will resonate well with GameChanger's values in teamwork and quality.

Emphasize your awareness of data privacy regulations and practices. Discuss specific measures you've implemented, such as data encryption, access controls, and regular audits to ensure compliance. Sharing examples of how you've addressed security challenges in previous roles will give your answer more weight.

Detail your experience with Airflow implementation or any similar orchestration tools. Explain how you scheduled and monitored workflows, orchestrated pipeline dependencies, and handled errors. Mention any successes in improving data pipeline efficiency or reliability that resulted from using these tools.

Be specific about the problem, your analytical approach, and the eventual solution. Explain what data types or models were involved, what technologies you utilized, and how your solution impacted the overall data processing efficiency or accuracy. Highlighting your problem-solving skills here is key.

Discuss how you prioritize collaboration within teams and how you facilitate communication across departments. Offer examples of successful team projects where your collaborative efforts led to improved outcomes. Convey your commitment to fostering strong working relationships with colleagues.

Describe the resources you utilize—such as blogs, webinars, online communities, and industry conferences—to keep your knowledge current. Highlight any specific trends or technologies you've recently explored and how they might be relevant to the work at GameChanger.

Share your specific roles and responsibilities regarding AWS, including any services you've used (e.g., S3, EC2, RDS). Discuss how you managed data storage and processing in the cloud and any successes in optimizing cloud deployments or costs.

Emphasize the importance of understanding user requirements, iterative testing, and feedback. Discuss your belief that high-quality data solutions arise from clear communication with stakeholders and involve regular evaluation against performance metrics.

Explain your familiarity and experience with ETL processes, including extraction from sources, transformation activities, and loading into destinations. Highlight any frameworks or tools you've employed and how you've optimized these processes for efficiency and reliability.