Data Specialist

Skills

About the Role

You will turn raw, complex data into trusted, AI-enhanced intelligence that powers data products. You will explore and profile customer data, translate domain knowledge into data infrastructure requirements, and design end-to-end ETL/ELT pipelines with automation and self-healing. You will run automated and manual quality control, document assumptions, and build AI features such as automated insights, anomaly detection, and natural-language interfaces. You will evaluate AI/ML outputs against domain expectations, design human-in-the-loop checks, and deliver interactive analyses, reports, and visualizations to customers. You will also identify opportunities to improve internal data cleaning and quality-assessment tools and help automate repetitive data tasks.

Requirements

• 3+ years of experience in a data-driven role or equivalent in data-related research projects
• Bachelor’s or Master’s degree in science, mathematics, engineering, or a data-driven field
• Competence in Python, R, or an equivalent programming language
• Competence in at least two of: SQL/PostgreSQL, NumPy/pandas, Dagster/Airflow/dbt, AWS/Azure
• Ability to translate complex data findings into clear, compelling narratives
• Strong communication skills to decompose operational workflows into repeatable steps
• Passion for data integrity and transforming raw inputs into trusted datasets
• Self-starter with demonstrated ability to learn new technologies quickly
• Experience with generative AI tools (e.g., AWS Bedrock, LangChain) is a plus
• Experience with testing frameworks (e.g., pytest) is a plus

Responsibilities

• Understand the data and the domain
• Partner with client delivery and customers to translate domain knowledge into data infrastructure requirements
• Explore raw customer data and profile files, columns, and statistical characteristics
• Design and implement end-to-end AI-enhanced ETL/ELT pipelines
• Coordinate with stakeholders and customers to resolve missing information and discrepancies
• Run quality control on data and data products through automated tests and targeted manual review
• Document assumptions and decisions to maintain traceability
• Build AI into data products including automated insights, anomaly detection, and AI-assisted data quality checks
• Evaluate AI/ML outputs and design human-in-the-loop verification
• Deliver interactive data analysis, data quality reports, statistical analyses, and visualizations
• Contribute improvements to internal tools for data cleaning and data quality assessment

Benefits

• 401(k) plan with up to 5% employer contribution
• Fully funded health benefits including vision and dental from day one for whole family
• Up to 24 weeks paid parental leave, 4-week paid ramp-back, and a $10,000 family forming benefit
• Flexible vacation policy with no set annual limit, Summer Fridays, extended December holiday period
• Flexible work options with access to offices and ability to work remotely as needed
• Opportunity to work remotely from eligible locations for up to two months per year
• Individualized mentoring, growth opportunities, and access to learning programs
• Dedicated wellness advisor
• Transit benefits and in-person events for team connection