Data Analytics Engineer job at Tap Growth ai Manassas, VA, US

Job Description

🌟 We're Hiring: Data Analytics Engineer! 🌟

We are seeking a skilled Data Analytics Engineer to join our dynamic team in Manassas. The ideal candidate will have a strong background in data analysis, engineering, and visualization, with the ability to convert complex data into actionable insights that drive business decisions.

📍 Location: Manassas, VA
⏰ Work Mode: Work From Office
💼 Role: Data Analytics Engineer
Contract: 6-12 Months
JOB TITLE: Data Analytics Engineer

I. JOB SUMMARY: The Data Analytics Engineer will design, develop, and maintain robust data pipelines, analytical workflows, and reporting solutions to support operational and strategic decision-making. This role bridges data engineering and analytics by ensuring high-quality data movement across systems, building insightful dashboards, and supporting enterprise analytics initiatives across multiple business domains, including Electric Outage Management, Work Management, GIS, Financials, and Customer Services.

I. BASIC QUALIFICATIONS: o Strong experience with ETL design and maintenance using
SSIS, Pentaho, and Python.
o Proficiency in SQL scripting for data extraction, transformation,
and optimization.
o Experience building and maintaining data pipelines across
multiple business systems.
o Hands-on experience with Power BI, Tableau, Crystal Reports,
and Report Builder.
o Strong understanding of Microsoft Fabric, including Data
Factory, Lakehouse, and Synapse.
o Excellent problem-solving and data modeling skills.
o Ability to translate technical data into actionable business insights.
o Excellent written and oral communication skills; strong
documentation discipline.

I. DESIRED SKILLS
 Experience working within Electric Utility IT environments.
 System Architecture (Virtual and Physical, Cloud, Hybrid, Middle Tear
and Client Server)
 Familiarity with Work Management, GIS, Financial, and Customer
Service systems.
 Proficiency in data governance, metadata management, and
performance tuning.
 Experience with ETL orchestration, job scheduling, and version control.
 Strong collaboration and analytical mindset to work across teams.

I. EDUCATION REQUIREMENTS
 Minimum 3 years of experience in data analytics or data engineering.
 At least 2 years working with enterprise reporting or ETL solutions.

I . TYPE (FULL-TIME/PART-TIME)
Full Time

Ready to make an impact? 🚀 Apply now and let’s grow together!

Job Tags

Permanent employment, Full time, Contract work, Part time, Work at office,

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