Senior Analytics Engineer

Jobgether; EE. UU.; Presencial; USD 131.000 - 157.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Health coverage

401(k) with company match

On-site lunch

Flexible time off

On-site gym and wellness

Descripción de la vacante

Jobgether seeks a Senior Analytics Engineer in the United States to build and optimize the enterprise data warehouse, focusing on Snowflake and modern data engineering practices. You will develop reliable data models, transformations, and cloud-based warehouse solutions for operational reporting and strategic metrics.

Collaborating with finance, analytics, and engineering teams, you will optimize data architecture, implement CI/CD, and deliver accurate performance metrics for thousands of

Formación

• Bachelor's degree or higher in CS, IS, Math, or equivalent experience.
• 3+ years in data modeling and warehouse development (dbt, SSIS, Matillion, etc.).
• Expert-level SQL and cloud data warehouse design principles.
• At least 2 years with Snowflake/Redshift/Azure Data Factory/BigQuery.
• 2+ years of Git, code reviews, and CI/CD.

Responsabilidades

• Build enterprise data warehouse infrastructure with models and pipelines.
• Develop data models for operational reporting and KPIs.
• Optimize Snowflake data warehouse serving thousands of users.
• Apply data engineering best practices for accuracy and reliability.
• Develop scalable SQL transformations aligned with cloud design.
• Collaborate with analytics and business teams to prioritize initiatives.
• Use Git, code reviews, and CI/CD for maintainable data development.
• Evolve data infrastructure to meet changing enterprise needs.
• Partner with finance and analytics to deliver accurate performance metrics.
• Evaluate architecture for performance and resilience.

Conocimientos

Data modeling

SQL

Git

CI/CD

Communication

Cloud data warehouse

dbt

SSIS

Matillion

Snowflake

Python

R

.NET

Educación

Bachelor's degree or higher in CS/IS/Math or equivalent

Herramientas

dbt

SSIS

Matillion

Snowflake

Amazon Redshift

Azure Data Factory

Google BigQuery

Git

CI/CD

Descripción del empleo

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Senior Analytics Engineer based in the United States.

Join a data-driven engineering team responsible for building and maintaining the enterprise data infrastructure that powers critical business decisions. As a Senior Analytics Engineer, you will develop reliable data models, transformation pipelines, and cloud-based warehouse solutions that support operational and strategic initiatives. Working closely with finance teams, business leaders, and analytics professionals, you will help deliver accurate performance metrics and commission calculations for thousands of employees. You will contribute to the evolution of a high-performance data warehouse environment, with a strong focus on Snowflake and modern data engineering practices. This role offers the opportunity to optimize data architecture, improve system reliability, and turn complex data requirements into actionable insights. Your technical expertise and business judgment will help shape scalable solutions across the organization.

Accountabilities

• Build strong relationships with analytics teams and business leaders to understand business objectives, strategic initiatives, and data requirements.
• Design, develop, and maintain enterprise data warehouse infrastructure, including data models and transformation pipelines.
• Build and optimize data models that support operational reporting, strategic decision-making, performance KPIs, and employee commission calculations.
• Contribute to the implementation and ongoing enhancement of a high-performing Snowflake data warehouse serving thousands of users and diverse business needs.
• Establish and apply data engineering best practices to improve data accuracy, consistency, availability, and reliability.
• Develop efficient, scalable SQL transformations and data solutions aligned with cloud data warehouse design principles.
• Evaluate existing data architecture and deployment practices to identify opportunities for improved performance, efficiency, and resilience.
• Collaborate with engineers and business stakeholders to prioritize high-impact initiatives and balance technical requirements with business needs.
• Apply version control, code reviews, and CI/CD practices to support maintainable, reliable, and well-managed data development.
• Contribute to the continuous evolution of data infrastructure, ensuring that warehouse services meet changing enterprise requirements.

Requirements

• Hold a bachelor's degree or higher in Computer Science, Information Systems, Mathematics, another technical discipline, or possess equivalent relevant professional experience.
• Have at least 3 years of experience in data modeling and data warehouse development using tools such as dbt, SSIS, Matillion, or similar technologies.
• Demonstrate expert-level SQL skills and a strong understanding of cloud data warehouse design principles.
• Have at least 2 years of professional experience with Snowflake, Amazon Redshift, Azure Data Factory, or Google BigQuery. Snowflake experience is preferred.
• Bring at least 2 years of experience working with Git, code reviews, and continuous integration and continuous deployment (CI/CD) environments.
• Be able to communicate effectively with business leaders, analytics professionals, and engineers.
• Demonstrate sound technical judgment and business acumen, with the ability to distinguish essential requirements from lower-priority enhancements.
• Be comfortable evaluating trade-offs and prioritizing solutions based on business impact, scalability, and reliability.

Preferred Qualifications

• Experience working with SQL Server Integration Services (SSIS).
• Familiarity with scripting or programming languages such as Python, .NET, or R.
• Experience supporting enterprise-scale data platforms and a broad range of business analytics use cases.

Benefits

• Base salary: $131,400–$157,300 per year, depending on factors such as location, experience, and performance.
• Additional compensation: Potential eligibility for annual bonuses, short- and long-term incentives, and program-specific awards.
• Health coverage: Medical, dental, and vision insurance.
• Life and medical support: Life insurance and access to a 24/7 medical hotline.
• Retirement savings: 401(k) plan with employer matching.
• Flexible time off: Paid holidays and flexible paid time away.
• Food and refreshments: Complimentary daily lunch and drinks on site.
• Employee discounts: Discounts available for employees, friends, and family.
• On-site wellness and recreation: Access to an on-site health clinic, gym, and gaming tables.
• Employee Resource Groups: Opportunities to connect with colleagues and participate in employee communities.
• Additional benefits: Potential access to flexible spending accounts and other employee benefit programs.
• Collaborative work environment: An opportunity to contribute to enterprise data initiatives while working with cross-functional teams.