Senior Data Engineer

Atlas Search; New York (NY); Presencial; USD 130 000 - 180 000; Tempo integral

Resumo da oferta

Atlas Search seeks an experienced Senior Data Engineer to strengthen enterprise data infrastructure, BI capabilities, and AI-ready analytics initiatives. You will translate complex data into insights guiding strategic decisions and collaborate with business stakeholders and technical teams to build scalable Snowflake pipelines and Tableau dashboards.

The role emphasizes data quality, governance, and enabling AI-enabled analytics across cross-functional groups.

Qualificações

• 7+ years of experience in data engineering or BI in enterprise environments.
• Proficient in SQL, Snowflake, and data warehousing concepts.
• Experience with Tableau for dashboards and reporting.
• Strong ETL/ELT design, data modeling, and data governance.
• Familiarity with Python, Git, Agile methodologies is a plus.

Responsabilidades

• Design and build BI dashboards and KPI scorecards for executives.
• Develop and optimize SQL queries and ETL/ELT pipelines across sources.
• Establish data quality checks and governance processes.
• Collaborate with cross-functional teams to deliver scalable data solutions.
• Support AI-enabled analytics and semantic data models.

Conhecimentos

Advanced SQL

Snowflake

Tableau

ETL/ELT

Data Modeling

Python

Data Quality

Ferramentas

Git

AWS

PostgreSQL

Salesforce

Descrição da oferta de emprego

Our client is seeking an experienced Senior Data Engineer to help strengthen its enterprise data infrastructure, business intelligence capabilities, and advanced analytics initiatives. This individual will serve as a key liaison between business stakeholders and technical teams, transforming complex data into actionable insights that support strategic decision-making.

The ideal candidate brings strong expertise in SQL, Snowflake, and Tableau, along with experience in data integration, data modeling, and enterprise reporting. This role offers the opportunity to work cross-functionally, enhance data quality, and contribute to the development of an AI-ready data platform.

Key Responsibilities

• Business Intelligence & Analytics: Design, develop, and maintain executive dashboards, reports, and KPI scorecards using Tableau and Snowflake, translating complex business requirements into actionable insights.


• Data Engineering & Integration: Develop and optimize SQL queries, stored procedures, and data transformations while supporting ETL/ELT pipelines across multiple data sources and enterprise systems.


• Data Quality & Governance: Establish and maintain data validation processes, reconciliation reporting, standardized business metrics, and documentation to ensure accuracy, consistency, and reliability.


• AI & Advanced Analytics: Support the development of semantic data models and AI-enabled analytics capabilities, improving data accessibility, reporting accuracy, and business intelligence.


• Cross-Functional Collaboration: Partner with Finance, Sales, Operations, Product, and Engineering teams to identify reporting needs, troubleshoot data challenges, automate processes, and deliver scalable data solutions.

Requirements

• 7+ years of experience in data engineering, business intelligence, analytics engineering, or a related field, with a strong background in enterprise data environments.


• Advanced SQL expertise, including complex queries, views, stored procedures, data transformations, performance optimization, and relational database concepts.


• Hands-on experience with Snowflake or a comparable cloud data warehouse, along with proficiency in Tableau or similar business intelligence and visualization tools.


• Strong understanding of ETL/ELT processes, data modeling, and modern data architectures, with exposure to technologies such as PostgreSQL, SQL Server, Salesforce, AWS, and API integrations.


• Excellent analytical, problem-solving, and communication skills, with the ability to collaborate across technical and nontechnical teams. Familiarity with Python, Git, Agile methodologies, and AI-driven analytics is a plus.