Senior Data & BI Engineer enterprise analytics

HireHi; United States; Remote; USD 110,000 - 170,000; Full time

Benefits offered by this job

Health insurance

Sick pay

Paid time off

Corporate events

Tech support

Regional benefits

Job summary

HireHi seeks an experienced Analytics Platform professional to design and optimize enterprise data pipelines and Power BI workloads using Microsoft Fabric. You will build semantic models, dashboards, and reports while enhancing data quality, governance, and performance across production systems.

The role requires hands-on BI, SQL, and data-engineering skills, with a focus on scalable analytics across data pipelines, models, and platform workloads.

Qualifications

• Strong hands-on experience with Power BI, including semantic models, DAX, Power Query, and report development.
• Strong SQL and data engineering fundamentals.
• Experience with dimensional modeling and enterprise analytical/data warehouse solutions.
• Experience diagnosing and optimizing BI and data-platform performance.
• Hands-on experience with Microsoft Fabric and its core data/analytics workloads.
• Understanding of Lakehouse/Warehouse architectures and modern data engineering patterns.
• Experience with data ingestion, transformation, pipelines, and production data operations.
• Ability to troubleshoot complex technical problems and work independently with limited guidance.
• Experience supporting production enterprise data and analytics solutions.
• Nice to have: Microsoft Fabric certifications (DP-600/DP-700), Python/PySpark, CI/CD for Fabric/Power BI, Azure data services, GenAI.

Responsibilities

• Design, build, maintain, and optimize data pipelines and analytical data solutions.
• Develop and optimize Power BI semantic models, reports, and dashboards.
• Troubleshoot and improve data, SQL, semantic-model, and reporting performance.
• Contribute to the implementation and adoption of Microsoft Fabric and related workloads.
• Support data ingestion, transformation, modeling, and integration across enterprise data sources.
• Apply patterns for Import, DirectQuery, Direct Lake, composite models, aggregations, and incremental processing.
• Contribute to data quality, security, governance, monitoring, and operational reliability.
• Support and enhance existing production data and analytics solutions.
• Collaborate with architects, engineers, BI developers, and business stakeholders; work independently on problems.
• Contribute to AI-enabled analytics and integration with Microsoft AI capabilities.

Skills

Power BI

SQL

Data modeling

DAX

BI development

ETL / Data pipelines

Problem solving

Tools

Microsoft Fabric

Job description

Описание:

The Analytics Platform enhances enterprise reporting and data solutions while expanding the use of Microsoft Fabric. It supports reliable and scalable analytics delivery across data pipelines, analytical models, dashboards, and platform performance.

Задачи:

• Design, build, maintain, and optimize data pipelines and analytical data solutions;
• Develop and optimize Power BI semantic models, reports, and dashboards;
• Troubleshoot and improve data, SQL, semantic-model, and reporting performance;
• Contribute to the implementation and adoption of Microsoft Fabric, including Lakehouse/Warehouse, OneLake, pipelines, notebooks, and related workloads;
• Support data ingestion, transformation, modeling, and integration across enterprise data sources;
• Apply appropriate patterns for Import, DirectQuery, Direct Lake, composite models, aggregations, and incremental processing;
• Contribute to data quality, security, governance, monitoring, and operational reliability;
• Support and enhance existing production data and analytics solutions;
• Collaborate with architects, engineers, BI developers, and business stakeholders while working independently on assigned problems;
• Contribute to AI-enabled analytics and integration with Microsoft AI capabilities where applicable.

Требования:

• Strong hands-on experience with Power BI, including semantic models, DAX, Power Query, and report development;
• Strong SQL and data engineering fundamentals;
• Experience with dimensional modeling and enterprise analytical/data warehouse solutions;
• Experience diagnosing and optimizing BI and data-platform performance;
• Hands-on experience with Microsoft Fabric and its core data/analytics workloads;
• Understanding of Lakehouse/Warehouse architectures and modern data engineering patterns;
• Experience with data ingestion, transformation, pipelines, and production data operations;
• Ability to troubleshoot complex technical problems and work independently with limited guidance;
• Experience supporting production enterprise data and analytics solutions;
• Nice to have: Microsoft Fabric certifications such as DP-600 and/or DP-700, Python/PySpark and notebook-based data engineering, CI/CD and deployment practices for Fabric and Power BI, Azure data services, Microsoft Foundry, GenAI, agents, or AI-enabled analytics, financial services or other regulated enterprise environments.

Условия:

• Health insurance for the employee and loved ones;
• Sick pay: 10 days without a doctor's note, afterwards according to local laws;
• Time off for state holidays according to the official calendar;
• Two large corporate parties and smaller colleague get-togethers;
• Technical and everyday workplace support;
• Benefits vary depending on the region and type of contract.