Data Analytics Engineer (SaaS: Subscription, DBT, with Mode Analytics, Omni, Looker or Segment Preferred)

Dice is the leading career destination for tech experts at every stage of their careers. Our client, KORE1, is seeking the following. Apply via Dice today! C2C / Third-Party: No C2C third-party firm candidates. Please do not email or call to inquire. This engagement is projected to last up to 6 months. There are two openings, and one of the roles may have the potential to convert to a full-time position based on performance and business needs. This role is fully remote, with a preference for candidates who can align with the core working hours of 9 AM to 5 PM Pacific. For those interested in a hybrid schedule, you can work from one of the company's U.S. offices (San Francisco, New York City, or Boston). KORE1, a nationwide provider of staffing and recruiting solutions, has an immediate opening for a Data Analytics Engineer (SaaS: subscription, DBT, with Mode Analytics, Omni, Looker or Segment preferred) A leading consumer-facing streaming / digital product company is hiring a Senior Analytics Engineer to own the analytics modeling layer that powers business decision-making across Product, Marketing, Finance, and Ad Sales. This role is focused on transforming raw product and marketing event data into clean, trusted, and well-defined data products, enabling consistent KPI reporting, self-service analytics, and a single source of truth across the organization. What You'll Do • Own the analytics modeling layer using dbt, transforming raw event and application data into business-ready datasets • Design and maintain dimensional models (fact/dimension tables, star schema) to support product and business analytics • Define, standardize, and govern business KPIs (e.g., retention, churn, LTV, conversion, engagement) • Build and maintain a single source of truth / semantic layer for consistent metric definitions across teams • Translate ambiguous business questions into scalable, well-structured data models and datasets • Partner with Product, Marketing, Finance, and Analytics teams to deliver data products that drive decisions • Model large-scale event data (clickstream, user behavior, product interactions) to support funnels, retention, and engagement analysis • Enable self-service analytics by delivering well-documented, trusted datasets used in BI tools (Mode, Omni, Looker, etc.) • Implement data quality checks (dbt tests, validations) to ensure KPI accuracy and trust • Optimize performance and cost within Snowflake / Redshift through efficient modeling strategies • Drive data warehouse cleanup and standardization, resolving multiple sources of truth and inconsistent definitions • Support Redshift Snowflake migration, ensuring continuity and data integrity What We're Looking For • Bachelor degree in Computer Science, Data Science, Information Systems, Engineering, Mathematics, or a related field (or equivalent practical experience); relevant certifications are a plus • 8+ years of experience in analytics engineering, data modeling, or product analytics-focused roles • Strong hands-on experience with dbt (must-have) in production environments • Deep expertise in SQL + analytics modeling (not just pipelines) • Strong experience building: • dimensional models (fact/dimension, star schema) • incremental models, SCDs, snapshots • Proven experience defining and owning business KPIs and metric layers • Experience building a single source of truth / semantic layer for analytics • Strong experience with Snowflake, Redshift, or similar cloud data warehouses • Experience working with product/event data (clickstream, user behavior, tracking frameworks like Segment) • Strong understanding of product analytics: • funnels • retention • engagement • subscription metrics (LTV, churn, etc.) • Experience enabling self-service analytics via BI tools (Mode, Looker, Tableau, etc.) • Experience working in messy or evolving data environments with multiple sources of truth • Strong communication skills with ability to translate business needs into data models • Ability to work independently and drive impact in a fast-moving environment Compensation depends on experience and location. For contract roles, typical hourly rates are: • San Francisco, New York City: ~$80 - $95/hr • Boston, DC Metro, Los Angeles, Seattle: ~$75 - $90/hr • Denver, Atlanta, Austin, Las Vegas, Sacramento, Chicago: ~$70 - $85/hr • Texas, Florida: ~$65 - $80/hr • For those only interested in contracting, we can submit qualified candidates above these rates. The above is aligned with C2H. For conversion to full-time, the following salary ranges apply: • San Francisco, New York City: $165K - $195K • Boston, DC Metro, Los Angeles, Seattle: $155K - $185K • Denver, Atlanta, Austin, Las Vegas, Sacramento, Chicago: $145K - $175K • Texas, Florida: $135K - $165K About Kore1 Specializing in professional and technical recruiting, KORE1 is committed to supporting top IT, Engineering, Creative, Scientific, Accounting and Finance professionals in their career paths. We build deep relationships with leading companies, connecting them to exceptional talent every day. With extensive industry expertise and unmatched opportunities, our goal is to provide a unique experience for our contractors and consultants as they prepare for their next role. We are passionate about matching the right people with the right companies. Kore1 provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability or genetics. In addition to federal law requirements, Kore1 complies with applicable state and local laws governing nondiscrimination in employment in every location in which the company has facilities. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training. Kore1 expressly prohibits any form of workplace harassment based on race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status. Improper interference with the ability of Kore1's employees to perform their job duties may result in discipline up to and including discharge.