ETL Developer
Job in
McLean, Fairfax County, Virginia, USA
Listed on 2026-05-22
Listing for:
PTR Global
Full Time
position Listed on 2026-05-22
Job specializations:
-
IT/Tech
Data Analyst, Business Systems/ Tech Analyst, Data Engineer, Data Science Manager
Job Description & How to Apply Below
Duration: 6+ Months (with possible extension) Pay Rate: $60-$70/hr. (Depending upon the experience) Must Have Qualifications
- The ideal candidate must have working knowledge of Python, SQL, Power BI, and Snowflake, develop Power BI dashboards, and write SQL queries.
- Must have familiarity in AI and Copilot.
- Client is seeking a Developer to deliver end-to-end analytics solutions across modern data platforms.
- 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.
- Candidates will also leverage Microsoft Copilot and other AI-assisted tools to accelerate analysis, development, documentation, and stakeholder support—while applying strong validation,
- governance, and data quality practices.
- Gather requirements, define KPIs, and translate business needs into scalable analytics deliverables (datasets, semantic models, dashboards, and insights).
- Write and optimize advanced SQL across SQL Server, Snowflake, and Microsoft Fabric (Warehouse/Lakehouse).
- Design and maintain analytics-ready data models (dimensional/star schemas, curated layers, reusable views/tables).
- Build, enhance, and performance‑tune dashboards and reporting in Power BI (DAX, Power Query, semantic models) and Tableau.
- Use Python (e.g., pandas, Num Py; optional scikit‑learn/stats models) for data wrangling, statistical analysis, forecasting, experimentation support, and automation.
- Implement data validation and quality controls (reconciliation, anomaly checks, refresh monitoring, metric certification).
- Develop within Microsoft Fabric using relevant components (e.g., notebooks, Dataflows Gen2, pipelines, Lakehouse/Warehouse, semantic models) as applicable.
- Communicate findings clearly, create concise executive narratives, and recommend actions backed by data.
- Maintain documentation for metric definitions, logic, lineage, and operational runbooks to support hand‑off.
- Accelerate SQL/DAX generation and refactoring.
- Speed up dashboard prototyping and narrative insights.
- Draft documentation and data dictionaries.
- Support stakeholder Q&A and self‑service enablement, while ensuring correctness through testing and peer/stakeholder validation.
- 7 to 10 plus years in data analytics/BI/consulting (or equivalent senior‑level experience).
- Advanced SQL expertise (CTEs, window functions, complex joins, query tuning).
- Strong experience with SQL Server (T‑SQL) and performance optimization.
- Experience with Snowflake (warehouse concepts, optimization/cost awareness, security basics).
- Hands‑on experience with Microsoft Fabric (Lakehouse/Warehouse concepts; pipelines/dataflows/notebooks; semantic modeling).
- Strong dashboard development skills in Power BI (DAX, modeling, performance) and Tableau.
- Proficiency in Python for analytics and automation.
- Demonstrated ability to use AI‑assisted tools productively with appropriate guardrails (validation, privacy, reproducibility).
- Excellent stakeholder management, communication, and independent delivery skills.
- Reliable, documented KPI definitions and curated datasets used consistently across teams.
- High‑performing, user‑friendly dashboards in Power BI/Tableau with measurable adoption.
- Reduced manual reporting through automation and reusable analytics assets.
- Clear documentation and hand‑off materials enabling maintainability after contract completion.
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