
1 - 10 employees
Big agencies give you big talent for big money, but less time & commitment. Little agencies give you little less talent for little less money, but full dedication. What you want is the best from both worlds. What you need is big little agency. And you have just found it.
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1 - 10 employees
Big agencies give you big talent for big money, but less time & commitment. Little agencies give you little less talent for little less money, but full dedication. What you want is the best from both worlds. What you need is big little agency. And you have just found it.
• Design, develop, and maintain data architectures and schemas to support data ingestion from multiple operational and infrastructure systems. • Develop and maintain automated ETL/ELT processes for extracting, transforming, and loading data from diverse data sources. • Build and support API integrations, database queries, scripting solutions, and file-parsing methods to acquire device inventory and configuration-state data. • Normalize and standardize data across various platforms and vendor applications into a common data model. • Integrate data into enterprise telemetry, monitoring, reporting, and analytics platforms. • Design and optimize data pipelines to support compliance monitoring, change tracking, and operational analytics. • Implement and maintain moderately complex logical and physical database designs. • Create and maintain dashboards, reports, and data visualizations using real-world operational datasets. • Troubleshoot and resolve production data collection, integration, and quality issues. • Develop technical documentation, data schemas, interface specifications, and telemetry requirements. • Collaborate with internal stakeholders, subject matter experts, and external vendors to gather requirements and support project delivery. • Participate in project planning, design discussions, and weekly status reviews to track progress, risks, and blockers. • Support ongoing enhancements as new systems, applications, and data requirements are introduced.
• Bachelor's degree in Computer Science, Information Systems, Engineering, or a related technical field. • 3–5 years of experience in Data Engineering, Analytics Engineering, Business Intelligence, or a related field. • 3+ years of experience with Microsoft analytics and data platform technologies. • Strong experience with: • Kusto Query Language (KQL) • Microsoft SQL Server / SQL development • ETL/ELT processes and data pipeline development • Power Apps and/or Power Automate • Experience with data extraction, transformation, and integration from multiple source systems. • Strong understanding of relational database concepts, data modeling, and database design. • Experience building and supporting automated data flows and telemetry pipelines. • Experience developing moderately complex data visualizations and reporting solutions. • Experience working with APIs, scripting, database queries, and structured data formats. • Strong problem-solving, troubleshooting, and analytical skills. • Excellent communication skills with the ability to work independently and collaboratively in a fast-paced environment. • Ability to manage multiple priorities and meet project deadlines.
• Medical, dental, and vision coverage • Flexible Spending Account • 401k program • Competitive PTO offerings • Parental Leave • Opportunities for professional growth and development
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🇺🇸 United States – Remote
💵 $95k - $100k / year
💰 Seed Round on 2022-10
⏰ Full Time
🟡 Mid-level
🟠 Senior
🎮 Game Engineer