Senior Analytics Engineer - Marketing Data

RESPONSIBILITIES

Kforce's retail client is looking for a Senior Analytics Engineer - Marketing Data for a fully remote contract role.

Responsibilities

• Partner with business and technical stakeholders to understand use cases and determine whether available data is sufficiently detailed, complete, timely, and appropriately structured to support them
• Identify, design, and build the Snowflake models, aggregations, materializations, and other data structures and usability, using views, dynamic tables, semantic views, stored procedures, and other appropriate technologies
• Develop a strong working understanding of the data produced by marketing and ecommerce platforms
• Elicit the underlying business need from requests that may initially be incomplete, unstructured, or solution-oriented; identify gaps and contradictions and distinguish among ingestion, modeling, CDP, activation, and reporting requirements
• Challenge assumptions or proposed solutions when they do not align with the available data, system capabilities, or intended business outcome
• Analyze source-system data and API documentation to determine whether the necessary objects, fields, identifiers, events, and levels of detail are available
• Communicate technical constraints, tradeoffs, data limitations, and scope boundaries clearly as stakeholder requests and project priorities evolve
• Write advanced, performant SQL to transform, combine, and prepare data in Snowflake
• Develop Snowflake stored procedures and supporting utilities using Python, JavaScript, or Snowflake Scripting, with Python as the preferred language
• Evaluate generated or externally supplied code for correctness, maintainability, performance, security, and alignment with engineering standards
• Work within established development practices, including Git, version control, peer review, automated testing, and CI/CD
• Troubleshoot source-data and integration issues in collaboration with internal engineers and external vendors

REQUIREMENTS

• Approximately five or more years of relevant professional experience in analytics engineering, data engineering, marketing data, or a closely related role
• Professional, hands-on experience working with Google Analytics data in a business or production environment; Coursework, certifications, or self-directed learning without applied work experience are not sufficient
• Professional experience supporting data in a retail or ecommerce environment
• Advanced SQL skills and hands-on experience designing fit-for-purpose data models, transformations, and materializations in Snowflake
• Working proficiency in Python, including the ability to read, evaluate, troubleshoot, and improve code written by others
• Experience reviewing API documentation and mapping API objects, endpoints, fields, and identifiers to business requirements
• Experience with Git and version-controlled development practices, including code review, testing, and CI/CD
• CDP implementation or ongoing CDP data enablement, customer 360 data models, identity resolution, or audience activation
• Event-level web behavioral data, cross-channel or cross-device identifiers, and marketing attribution data and concepts
• Anonymous-to-known identification, consent and privacy requirements, and audience eligibility or suppression logic
• Google Ads, Meta Ads, email, SMS, loyalty, or other paid-media and marketing technology platforms
• Building or maintaining API-based ingestion processes
• Demonstrated ability to elicit requirements from stakeholders, bring structure to ambiguous or nonlinear discussions, and translate business needs into precise, actionable technical work
• Strong understanding of data validation across multiple stages of a data pipeline
• Ability to work independently, exercise sound technical judgment, and recognize when requirements or proposed solutions do not make sense
• Exceptional written and verbal communication skills