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Job Responsibilities:

· Design, develop, and maintain data pipelines using AWS Redshift, Databricks, and Snowflake

· Ingest, transform, and curate data from multiple sources

· Optimize solutions for performance, reliability, scalability, and cost

· Implement data quality checks, monitoring, and observability for production pipelines

· Perform root cause analysis on data incidents and pipeline failures, and implement preventive fixes to avoid recurrence

· Data wrangling of heterogeneous data, exploration and discovery in pursuit of new business insights

· Collaborate with analytics and business teams to deliver trusted datasets

· Mentor other team members in their efforts to build data engineering skillsets

· Assist team management in defining projects, including helping estimate, plan and scope work

· Prepare and contribute to presentations required by management

Required Qualifications:

· 4+ years developing cloud solutions as a Data Engineer

· Bachelor’s Degree in Computer Science, Computer Engineering, or a related field

· Clear and concise verbal and written communication; ability to communicate technical concepts to non-technical people

· Proven experience developing solutions with:

§ AWS (Redshift, S3, Step Functions, Eventbridge, CloudWatch)

§ Databricks (Spark, Delta Lake, Apache Iceberg, Unity Catalog)

§ Snowflake

· Strong proficiency in SQL to write and optimize performance of large-scale analytics queries

· Strong proficiency in Python for custom data processing

· Familiarity with CI/CD, version control (Git), and automated testing for data pipelines

· Familiarity with Infrastructure as Code (Terraform, or similar)

· Solid understanding of data warehousing and dimensional modeling

· Ability to write detailed and comprehensive testing documentation. Strong focus on code quality with the ability to design and execute thorough tests.

· Ability to manage work across multiple projects, good organizational skills

· Ability to quickly learn new technologies and understand data flows and business concepts.

· Excellent problem-solving skills, attention to detail, and the ability to work independently.

· Proven track record of proactively identifying, performing root cause analysis on, and mitigating production data issues.

· Ability to conduct effective code reviews.

· Ability to interview without use of AI tools

· At least 18 years of age

· Legally authorized to work in the United States

Preferred Qualifications:

· Hands-on experience integrating AI tools/solutions into data workflows to improve efficiency, automation, or developer productivity