Pacer Group

Data Analyst (2 Positions) / Data Architect (2 Positions)

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for Data Analyst and Data Architect positions, 12+ months contract, US Remote. Pay rates are $39.82/hr W2 for Analyst and $52.03/hr W2 for Architect. Key skills include SQL, Python, DAX, Databricks, and Power BI.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
504
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🗓️ - Date
August 7, 2026
🕒 - Duration
More than 6 months
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🏝️ - Location
Remote
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📄 - Contract
W2 Contractor
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🔒 - Security
Unknown
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📍 - Location detailed
United States
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🧠 - Skills detailed
#Data Governance #Data Pipeline #SSRS (SQL Server Reporting Services) #Scala #Data Lake #Data Lakehouse #SQL Server #Compliance #Databricks #Data Strategy #Microsoft Power BI #Data Migration #Data Engineering #Data Mapping #Data Ingestion #DAX #Python #BI (Business Intelligence) #Data Architecture #SQL (Structured Query Language) #Visualization #Strategy #Migration #Data Integration #AI (Artificial Intelligence) #Data Analysis
Role description
Job Title: Data Analyst (2 Positions) / Data Architect (2 Positions) Location: US Remote Work Arrangement: Remote Employment Type: Contract Duration: 12+ Months Domain: Information Technology | Data Engineering Application Deadline: August 14, 2026 Pay Rate: For Data Analyst: $39.82/hr W2 | $48.60/hr C2C For Data Architect: $52.03/hr W2 | $63.00/hr C2C SKILLS REQUIRED Primary (Must-Have): • SQL • Python • DAX • Databricks • Power BI Secondary (Good to Have): • Profile schema and CLS schema knowledge • Experience with Profile and CLS migrations • Databricks ingestion knowledge • Data mapping and migration experience • Transitioning SSRS and Power BI reports from SQL Server to Databricks Data Lakehouse environments POSITION OVERVIEW As a Data Analyst / Data Architect, you will play a pivotal role in shaping and executing the client's data strategy by ensuring seamless data ingestion, mapping, and large-scale migration. Operating within a collaborative technology department, you will leverage modern Data Lakehouse architectures to resolve complex data integration challenges and elevate business intelligence capabilities. Your technical expertise will directly empower executive decision-making by successfully transitioning legacy reporting frameworks into highly scalable, high-performance analytical environments. ROLES & RESPONSIBILITIES • Architect, develop, and optimize advanced data pipelines and analytical models utilizing SQL, Python, and Databricks to drive enterprise-wide business intelligence. • Lead comprehensive data migration initiatives, focusing on Profile and CLS schema migrations, accurate data mapping, and streamlined Databricks ingestion. • Execute the end-to-end transition of SSRS and Power BI reports from traditional SQL Server environments to a scalable Databricks Data Lakehouse platform. • Design and deploy intuitive, high-impact data visualizations and reporting dashboards using DAX and Power BI to support cross-functional stakeholder needs. • Enforce data governance, schema best practices, and performance tuning methodologies to maintain robust, secure, and highly available data architectures. BENEFITS Medical | Dental | Vision | 401(k) EEOC Compliance: We are an equal opportunity employer, and all qualified applicants will receive consideration for employment. DISCLAIMER AI Usage Policy: Pacer Group uses AI to assist in screening applications. Final hiring decisions are made by human recruiters based on qualifications and experience.