Data Analytics Engineer

You will translate domain knowledge into data infrastructure requirements, explore customer data, and identify cleaning and analysis opportunities. You will deliver interactive analysis platforms, data quality reports, statistical analyses, visualizations, automated insights, anomaly detection, AI assisted checks, and natural language interfaces. You will design and maintain reliable ETL and ELT pipelines, validate AI and machine learning outputs, run automated and manual quality controls, document decisions, and improve tools for data cleaning, modeling, analytics, and data quality assessment.

Responsibilities

• Partner with client delivery teams and customers to translate domain knowledge into data infrastructure requirements
• Validate assumptions and resolve data related issues
• Explore customer data and analyze its contents and characteristics
• Suggest data cleaning and analysis approaches
• Deliver interactive data analysis and investigation platforms
• Create data quality reports, statistical analyses, and visualizations
• Build automated insights, anomaly detection, AI assisted data quality checks, and natural language interfaces
• Evaluate AI and machine learning output quality against domain expectations
• Design human in the loop checks for trustworthy data products
• Own the design, quality, and reliability of ETL and ELT pipelines
• Coordinate with stakeholders and customers to resolve missing information and discrepancies
• Run automated tests and targeted manual reviews on data and data products
• Document assumptions and decisions
• Identify opportunities to automate and enhance data cleaning, modeling, analytics, and data quality tools

Requirements

• 3+ years of experience in a data driven role or equivalent data related research experience
• 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 database technologies, data science libraries, data pipelining workflows and tools, or cloud providers
• Ability to translate complex data findings into clear narratives
• Strong communication capability for decomposing complex operational workflows into clear repeatable steps
• Track record of transforming raw inputs into high quality trusted datasets
• Ability to learn new technologies quickly
• Generative AI tool experience is a plus
• Testing framework experience is a plus

Benefits

• Salary range of $100,000 to $130,000 USD per year
• 401K plan with up to 5% employer contribution
• Fully funded health benefits plan including vision and dental coverage for the whole family
• Up to 24 weeks of paid parental leave
• 4 week paid ramp back program
• $10K family forming benefit covering fertility treatments adoption and surrogacy
• Flexible vacation policy with no set annual limit or accrual period
• Summer Fridays
• Extended holiday period in December
• Flexible work from home options
• Access to three offices
• Remote work from eligible locations for up to 2 months per year
• Transit benefits supporting commuting costs
• In person events for team bonding and collaboration
• Dedicated wellness advisor