PTR Global

ETL Developer

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for an ETL DataStage Developer in Mclean, VA, lasting 6+ months at $60-$70/hr. Requires 7-10 years in data analytics, advanced SQL, Python, Power BI, Snowflake, and Microsoft Fabric experience. Familiarity with AI tools is essential.
🌎 - Country
United States
πŸ’± - Currency
$ USD
-
πŸ’° - Day rate
560
-
πŸ—“οΈ - Date
May 20, 2026
πŸ•’ - Duration
More than 6 months
-
🏝️ - Location
On-site
-
πŸ“„ - Contract
W2 Contractor
-
πŸ”’ - Security
Unknown
-
πŸ“ - Location detailed
McLean, VA
-
🧠 - Skills detailed
#SQL Queries #Datasets #Scala #Microsoft Power BI #Consulting #Data Wrangling #SQL Server #Python #Semantic Models #Snowflake #Data Quality #DAX #DataStage #SQL (Structured Query Language) #Security #Dataflow #Forecasting #Monitoring #AI (Artificial Intelligence) #NumPy #Tableau #Documentation #Automation #BI (Business Intelligence) #"ETL (Extract #Transform #Load)" #Pandas
Role description
Please find the Job Position Details; Position: ETL DataStage Developer Location: Mclean, VA (Onsite) Duration: 6+ Months (with possible extension) Pay Rate: $60-$70/hr. on W2 (Depending upon the experience) Must Have Qualifications: β€’ The ideal candidate must have working knowledge of Python, SQL, Power BI, and Snowflake, develop Power BI dashboards, and write SQL queries. β€’ Must have familiarity in AI and Copilot. Job Description: Role Summary: β€’ Client is seeking a Developer to deliver end-to-end analytics solutions across modern data platforms. β€’ Candidates will build and optimize datasets in SQL Server, Snowflake, and Microsoft Fabric, develop analytics in Python, and deliver executive-ready insights through Tableau and Power BI. β€’ Candidates will also leverage Microsoft Copilot and other AI-assisted tools to accelerate analysis, development, documentation, and stakeholder supportβ€”while applying strong validation, β€’ governance, and data quality practices. Key Responsibilities: β€’ Gather requirements, define KPIs, and translate business needs into scalable analytics deliverables (datasets, semantic models, dashboards, and insights). β€’ Write and optimize advanced SQL across SQL Server, Snowflake, and Microsoft Fabric (Warehouse/Lakehouse). β€’ Design and maintain analytics-ready data models (dimensional/star schemas, curated layers, reusable views/tables). β€’ Build, enhance, and performance-tune dashboards and reporting in Power BI (DAX, Power Query, semantic models) and Tableau. β€’ Use Python (e.g., pandas, NumPy; optional scikit-learn/statsmodels) for data wrangling, statistical analysis, forecasting, experimentation support, and automation. β€’ Implement data validation and quality controls (reconciliation, anomaly checks, refresh monitoring, metric certification). β€’ Develop within Microsoft Fabric using relevant components (e.g., notebooks, Dataflows Gen2, pipelines, Lakehouse/Warehouse, semantic models) as applicable. β€’ Communicate findings clearly, create concise executive narratives, and recommend actions backed by data. β€’ Maintain documentation for metric definitions, logic, lineage, and operational runbooks to support hand-off. Leverage Microsoft Copilot and AI tools (e.g., Copilot for Power BI/Fabric/M365 and other approved assistants) to: β€’ Accelerate SQL/DAX generation and refactoring. β€’ Speed up dashboard prototyping and narrative insights. β€’ Draft documentation and data dictionaries. β€’ Support stakeholder Q&A and self-service enablement, while ensuring correctness through testing and peer/stakeholder validation. Required Skills and Experience: β€’ 7 to 10 plus years in data analytics/BI/consulting (or equivalent senior-level experience). β€’ Advanced SQL expertise (CTEs, window functions, complex joins, query tuning). β€’ Strong experience with SQL Server (T-SQL) and performance optimization. β€’ Experience with Snowflake (warehouse concepts, optimization/cost awareness, security basics). β€’ Hands-on experience with Microsoft Fabric (Lakehouse/Warehouse concepts; pipelines/dataflows/notebooks; semantic modeling). β€’ Strong dashboard development skills in Power BI (DAX, modeling, performance) and Tableau. β€’ Proficiency in Python for analytics and automation. β€’ Demonstrated ability to use AI-assisted tools productively with appropriate guardrails (validation, privacy, reproducibility). β€’ Excellent stakeholder management, communication, and independent delivery skills. Deliverables / Success Measures: β€’ Reliable, documented KPI definitions and curated datasets used consistently across teams. β€’ High-performing, user-friendly dashboards in Power BI/Tableau with measurable adoption. β€’ Reduced manual reporting through automation and reusable analytics assets. β€’ Clear documentation and hand-off materials enabling maintainability after contract completion.