Senior Data & Analytics Engineer — Remote (Power BI & Fabric)

Lovesac; Stamford (CT); On-site; USD 140,000 - 210,000; Full time

Benefits offered by this job

401K Matching

Medical, Dental, Vision

Paid Time Off

Employee Discounts

Job summary

Lovesac is seeking a Sr. Engineer, Data & Analytics to design and scale data pipelines and Power BI solutions.

You will work primarily in Microsoft Fabric, building end-to-end data flows, semantic models, and dashboards that support customer experience, store performance, merchandising, supply chain, and omnichannel growth. You will collaborate with Data Engineering, Technology, Marketing, and Operations to ensure data is trusted and decision-ready for corporate and field leaders.

Qualifications

• Bachelor’s degree in Computer Science, Data Science, Engineering, Analytics or related field.
• 5+ years of experience across data engineering and analytics/BI with hands‑on Power BI
• Strong experience delivering data and AI solutions that drive business outcomes.
• Proven experience using Power BI platforms, driving scalable analytics and enterprise insights.
• Advanced experience with DAX, data modeling, performance optimization, and visualization best practices.
• Strong SQL skills and experience with modern data platforms (Fabric, Azure, Snowflake, Databricks, Redshift, BigQuery).

Responsibilities

• Design, develop, and maintain scalable Power BI dashboards, reports, and apps.
• Build and optimize Power BI semantic models leveraging best practices in data modeling, DAX, and performance tuning.
• Translate complex business questions into intuitive visualizations that drive insight and action.
• Partner with stakeholders to define requirements, success metrics, and reporting standards.
• Design, build, and maintain scalable data ingestion and ETL/ELT pipelines in Microsoft Fabric to land data from source systems into OneLake.
• Develop and optimize Lakehouse/Warehouse solutions in Fabric with bronze/silver/gold architecture.
• Write efficient transformation logic in SQL, Python, and PySpark, and tune workloads for performance and cost.
• Orchestrate, schedule, and monitor pipelines end-to-end with alerting to catch data refresh issues.
• Establish governed, reusable data products in OneLake for Power BI and downstream analytics.
• Own and shape source data models and governance to support reliable reporting.
• Deliver analytics that translate into meaningful business decisions.
• Mentor others and drive adoption of analytics across org.
• Maintain data privacy and governance, and apply CI/CD for analytics assets.

Skills

Power BI

Data storytelling

Data modeling

SQL

Python

PySpark

DAX

ETL/ELT

Analytics partnerships

Data governance

Education

Bachelor’s degree in Computer Science, Data Science, Engineering, Analytics or related field

Tools

Microsoft Fabric

OneLake

Lakehouse/Warehouse

Data Factory pipelines

Dataflows Gen2

Delta Lake/Parquet

Git/CICD

Fabric Notebooks

Direct Lake

Job description

Lovesac is seeking a Sr. Engineer, Data & Analytics to design and scale data pipelines and Power BI solutions.

You will work primarily in Microsoft Fabric, building end-to-end data flows, semantic models, and dashboards that support customer experience, store performance, merchandising, supply chain, and omnichannel growth. You will collaborate with Data Engineering, Technology, Marketing, and Operations to ensure data is trusted and decision-ready for corporate and field leaders.