Data Engineer

As a Data Engineer at Harbor.ai, your primary responsibilities will include building and maintaining scalable data pipelines, implementing data cleaning and transformation processes, and collaborating with analytics teams to deliver robust data solutions. You'll also be responsible for setting up and managing Airflow workflows to automate processes, ensuring data quality, as well as working with SQL databases and cloud data warehousing solutions.

To qualify for the Data Engineer position at Harbor.ai, you should possess a Bachelor's degree in Computer Science, Data Science, or a related field, along with a minimum of 2 years of experience in data engineering. Proficiency in Python and SQL is essential, and experience with ETL/ELT processes and Airflow is highly desired. Familiarity with AWS data services and knowledge of data quality best practices will also be beneficial.

A Data Engineer at Harbor.ai should be familiar with technologies such as SQL databases, cloud data warehousing solutions, Airflow or similar workflow orchestration tools, and various AWS data services like S3, Redshift, and RDS. Experience with dbt or similar transformation tools will be an advantage, as will understanding industry-specific data structures, such as those used in the insurance sector.

While prior experience in the insurance industry is preferred, it is not strictly necessary for the Data Engineer role at Harbor.ai. Candidates who possess strong technical skills in data engineering and are eager to learn about the insurance sector are encouraged to apply. Harbor.ai values diverse backgrounds and experiences.

The work environment at Harbor.ai is dynamic and collaborative, located in our corporate headquarters in New York City. As a Data Engineer, you'll be part of a motivated team that thrives on innovation and creativity. You'll collaborate closely with colleagues from different departments, and you'll have the opportunity to work with leading technologies in a supportive and inclusive company culture.

When answering this question, highlight your specific experiences in designing and implementing ETL/ELT pipelines. Discuss the tools you used, the challenges you faced, and how you ensured data quality throughout the process. Be sure to mention any relevant technologies used at Harbor.ai, such as Airflow.

In your response, emphasize the importance of data validation, cleaning, and monitoring. Discuss specific practices and tools you've implemented in previous roles to ensure high-quality data, and relate them to practices used at Harbor.ai.

Here, detail your experience with various SQL databases and cloud data warehousing solutions, particularly those relevant to Harbor.ai's technology stack, such as AWS services. Highlight specific projects where you've leveraged these technologies.

Share a specific example that showcases your problem-solving abilities. Describe the challenge, your analytical approach, the steps you took to solve it, and the outcome. Keep it relevant to the types of challenges Data Engineers might face at Harbor.ai.

Discuss your experience with Airflow and any other orchestration tools. Provide examples of how you've utilized these tools to automate data workflows, making sure to relate your answer back to the needs at Harbor.ai.

Talk about your troubleshooting strategies. Discuss how you would investigate data discrepancies, the steps you would take to address the issues, and the importance of communication with relevant stakeholders during the process.

Emphasize your understanding of data pipeline optimization techniques. Discuss specific strategies such as reducing latency, parallel processing, and efficient data transformations based on experiences in your previous roles.

Highlight a collaborative project where you worked closely with analytics or product teams. Discuss how you facilitated communication, gathered requirements, and ensured the delivery of effective data solutions, which is crucial at Harbor.ai.

Detail any projects where real-time data processing was critical. Discuss the tools and methodologies you employed. Relating your answer to the objectives of Harbor.ai will demonstrate your relevance to the role.

Answer this question by expressing your enthusiasm for the mission of Harbor.ai. Highlight how your skills align with the company’s goals and your eagerness to contribute to innovating the insurance industry through cutting-edge data solutions.