Software Engineer, Data

As a Software Engineer, Data at Blackhawk Network, your main responsibilities include designing, developing, and maintaining advanced data infrastructure. You'll build data pipelines, ensure data integrity, and streamline data workflows using tools like Apache Airflow and Prefect. You'll also collaborate with data scientists and analysts to meet data needs, implement ETL processes, and optimize performance for large-scale data operations.

To qualify for the Software Engineer, Data position at Blackhawk Network, you’ll need a Master’s degree in Information Management, Computer Science, or a related field. Additionally, two years of experience in a data engineering role is required, alongside proficient knowledge in ELT/ETL processes and tools, programming in Python and SQL, and working with database technologies such as Snowflake, MySQL, and PostgreSQL.

In your role as a Software Engineer, Data at Blackhawk Network, you will utilize various tools and technologies including Apache Airflow, Prefect, Fivetran, DBT, and cloud services like AWS. Familiarity with programming languages such as Python and SQL, as well as data modeling and database management practices, will be essential for optimizing data pipelines and supporting business functions.

At Blackhawk Network, Software Engineers can expect significant opportunities for professional growth. You'll have the chance to lead projects, adopt new data technologies, and collaborate with diverse teams. The culture promotes continuous learning and development, encouraging you to stay updated on industry trends and enhance your skill set in the evolving data landscape.

Yes, the Software Engineer, Data position at Blackhawk Network supports telecommuting. Candidates can reside anywhere in the U.S. while reporting to the Pleasanton, CA office, allowing for a great work-life balance and the flexibility to thrive in your role.

In answering this question, focus on specific ETL tools you've used, such as Fivetran or DBT, and provide a detailed response about your role in designing and implementing ETL pipelines. Highlight your understanding of data integrity and how you ensure data quality throughout the ETL process.

Discuss your hands-on experience with data orchestration tools, like Apache Airflow or Prefect. Explain how these tools helped streamline your data workflows and any specific projects where their use significantly improved data processes or efficiency.

Explain your methodology for maintaining data integrity, mentioning any specific strategies you implement, such as data validations, quality checks, and monitoring solutions. Use examples from past projects where you successfully ensured data accuracy and consistency.

Detail your knowledge and experience with AWS services for data orchestration. Discuss any specific projects that required provisioning cloud infrastructure using tools like Terraform or CloudFormation, and how it enhanced your data operations.

Talk about the techniques you have used for performance tuning within data pipelines, such as caching, partitioning, and indexing strategies. Additionally, provide examples of how these optimizations have led to faster data retrieval times and improved overall workflow efficiency.

Think of a specific example where you faced a complex data challenge, such as integration issues or performance bottlenecks. Explain the strategies you used to diagnose the problem, the solutions you implemented, and what the outcome was, highlighting your analytical and problem-solving skills.

Mention the programming languages you are skilled in, such as Python or SQL, and detail specific projects where you've utilized these languages for data processing, ETL tasks, or building data models. This will show your technical competence in relevant areas.

Discuss the importance of documentation in data engineering and your approach to maintaining comprehensive records of your data pipelines and architectures. Provide examples of how good documentation has helped your team or organization streamline processes or onboard new members.

Describe your experience with various relational databases like MySQL, PostgreSQL, and MS SQL Server. Discuss the types of projects you've worked on, your approach to maintaining, troubleshooting, and optimizing these databases, and any specific examples of challenges you successfully navigated.

Elaborate on your workflow management strategies, including how you use tools like Prefect to orchestrate complex tasks. Provide examples of how you've designed workflows that ensure timely and accurate data delivery, demonstrating your skills in project management and coordination.