
Senior Engineer, Connectivity
- Miramar, FL
- Permanent
- Full-time
- Design, build, and maintain scalable ETL pipelines for structured and semi-structured data across telemetry systems, infrastructure platforms, and internal APIs.
- Create and maintain real-time dashboards using Grafana and Power BI to monitor system uptime, performance, and operational KPIs.
- Manage Microsoft SQL Server and time-series databases (e.g., InfluxDB), including schema design, stored procedures, SQL Agent jobs, and performance tuning.
- Develop and enforce data governance standards through ERDs, data dictionaries, naming conventions, and schema hygiene.
- Build and support data models for diagnostics, reporting, and monitoring use cases.
- Write and optimize complex SQL and time-series queries involving CTEs, joins, window functions, and dynamic views.
- Automate data ingestion, transformation, and validation workflows using Python, with appropriate exception handling and logging.
- Collaborate with infrastructure, analytics, and operations teams to ensure end-to-end observability and accurate real-world performance insights.
- 7+ years of relevant experience in data engineering, systems monitoring, or related fields.
- Expertise in Microsoft SQL Server, including query tuning, stored procedures, schema governance, agent job management, and ERD design.
- Advanced proficiency in Python for ETL development, telemetry automation, and REST API integration.
- Strong ETL/data integration experience, including both batch and real-time ingestion pipelines.
- Time-series database experience (e.g., InfluxDB or equivalent) for telemetry and operational monitoring.
- Advanced knowledge of data warehouse management, including indexing, partitioning, and lifecycle governance.
- Skilled in building operational dashboards using Grafana and Power BI.
- Intermediate-advanced API experience, including RESTful data ingestion and JSON/XML parsing.
- Proficiency in data modeling, including relational models, documentation, and naming conventions.
- Experience working in Windows Server environments, including managing telemetry jobs and SQL Server Agent tasks.
- Strong focus on data validation and anomaly detection to ensure integrity across large operational datasets.
- Familiarity with workflow orchestration and job scheduling tools to automate data processing tasks.
- Bachelor's degree in Information Technology, Information Systems, Data Analytics, or equivalent experience preferred.
- Experience with observability frameworks, QoE metrics, and designing high-availability monitoring systems.
- Proven ability to manage data across Dev, QA, and Production environments.
- Highly organized and detail-oriented with strong problem-solving instincts.
- Effective communicator capable of translating technical telemetry into actionable insights.
- Collaborative and adaptable, with experience working cross-functionally across IT, engineering, and analytics teams.
- Self-motivated with a mindset for automation, reliability, and continuous improvement.