Senior Data Engineer

What you'll do

• Design and maintain scalable data pipelines, automated workflows, monitoring, dashboards, and reports.
• Develop governed, documented, AI-ready data products for analytics, automation, machine learning, and generative AI.
• Partner with technical and business teams, document architectures and processes, and mentor colleagues.

What they ask for

• Bachelor’s degree in engineering, computer science, or a related field, or equivalent practical experience.
• 7+ years of experience in data engineering, database development, software development, systems design, or data analysis.
• Strong SQL, data modeling, database design, DDL, DML, data validation, and performance-optimization skills.
• Proficiency in one or more of Python, Java, JavaScript, Bash, or PowerShell, with experience building automated data pipelines and workflows.

Nice to have

• Experience with platforms such as Snowflake, DynamoDB, Oracle, Hadoop, Athena, or EMR; streaming and messaging technologies; reporting and observability tools; or cloud infrastructure and automation tools.
• Exposure to AI platforms, vector databases, feature stores, model monitoring, retrieval-augmented generation, or production ML infrastructure; knowledge of payments, digital commerce, or card-not-present fraud.

Pay

$180,000 to $205,000 USD annual base salary

Tools

SQL, Python, Java, JavaScript, Bash, PowerShell, Snowflake, DynamoDB

AI focus

Prepare and operationalize data for analytics, AI, and ML; build governed, AI-ready data products for machine learning and generative AI; use AI-assisted tools responsibly.