Data Science - Senior Engineer in Production Management (Big Data - Snowflake Focused) - Irving

Senior Engineer in Production Management (Big Data - Snowflake Focused)

The Senior Engineer in Production Management, specializing in Big Data with a focus on Snowflake, will be responsible for the design, development, and overall implementation of robust and scalable data solutions in a complex, critical, and large cross-departmental and multi-disciplinary area. This role is crucial for building robust pipelines, ensuring data quality, and driving performance improvements across our Big Data initiatives..

The role requires a comprehensive understanding of various facets of Big Data technologies and how they interact to achieve strategic data objectives. The candidate will apply in-depth understanding of the business impact of data-driven insights and be accountable for the delivery of a full range of end-to-end data engineering projects.

Responsibilities:

• Demonstrates an in-depth understanding of the Software Development Lifecycle and its integration within the overall data technology landscape to deliver scalable, reliable, and performant Big Data solutions, particularly within Snowflake.
• Conduct in-depth data analysis, troubleshoot complex data issues, and ensure the accuracy, reliability, and integrity of data.
• Optimize Big Data workflows, including Snowflake query optimization, leveraging partitioning strategies and indexing techniques in distributed storage systems.
• Perform rigorous unit testing and validation of data pipelines and transformations.
• Collaborate with data scientists, analysts, and other engineers to understand data requirements and deliver robust data solutions.

Qualifications:

• Relevant experience in a critical Big Data engineering role with high business impact, and a strong ability to understand how data solutions deliver business value.
• Excellent engineering skills with expertise in Snowflake data warehousing.
• Excellent working knowledge of key computer science concepts, especially as they apply to distributed systems, data structures, and algorithms for large-scale data processing.
• Excellent understanding of data engineering concepts like Data Modeling, Data Lakes, Data Warehouses, and Data Marts.
• Strong debugging and analytical skills: ability to isolate root causes across data pipelines, Snowflake, cloud infrastructure, and data processing layers.
• Operational experience of designing, deploying, and managing data pipelines and Snowflake solutions at scale, potentially leveraging cloud platforms (AWS) and related services.
• Operational experience with orchestration tools for CI/CD and Infrastructure-as-Code tooling (Terraform, Cloud Formation, dbt, etc.) is highly desirable for data platform automation.
• Degree in computer science/mathematics/physics or related technical subject is desirable.
• Excellent critical thinking and problem-solving skills with a strong analytical mindset.
• Ability to work independently and collaboratively in a fast-paced environment.
• Strong communication skills to articulate technical concepts and solutions effectively.

Role Skills Matrix:

• Ratings are 1-5, with 1 being the lowest and 5 being the highest. To interpret the numbers, use the following scale:

1 = Junior contributor, understands key concepts and can operate with close supervision

2 = Proficient contributor, fully grasps the key concepts, but no production experience

3 = Independent contributor, understands technology well and has delivered production systems

4 = Senior Independent contributor, operates the technology on the cutting edge and can implement use cases with limited community support

5 = Lead industry contributor, operates the technology on the bleeding edge and can commit changes to the technology's roadmap

Compensation, Benefits and Duration

Minimum Compensation: USD 36,000
Maximum Compensation: USD 126,000
Compensation is based on actual experience and qualifications of the candidate. The above is a reasonable and a good faith estimate for the role.
Medical, vision, and dental benefits, 401k retirement plan, variable pay/incentives, paid time off, and paid holidays are available for full time employees.
This position is not available for independent contractors
No applications will be considered if received more than 120 days after the date of this post