Senior Engineer - Data

Moxie Pest Control-posted about 1 month ago

Full-time • Mid Level

Irving, TX

501-1,000 employees

Resume

Match Score

Upload and Match ResumeTrack Jobs with Teal

We are seeking a highly skilled and motivated Senior Engineer to oversee our data engineering initiatives. This role requires a deep understanding of data engineering principles, cloud technologies, and the ability to translate business requirements into robust and scalable technical solutions. The ideal candidate will be a hands-on leader, capable of both strategic thinking and technical execution, with a passion for fostering a collaborative and high-performing team.

Technical Strategy and Architecture:
Define and maintain the technical vision, architecture and future updates to our data platform within Microsoft Azure.
Lead the design and implementation of scalable and efficient data pipelines using Dagster.
Establish best practices for data modeling, data warehousing, and data lake strategies within Azure and SQL Server.
Evaluate and recommend new technologies and tools to enhance our data capabilities.
Ensure the security, reliability, and performance of our data infrastructure.
Team Leadership and Mentorship:
Provide Technical Leadership and guidance to a team of Data Engineers, Developers and Analysts.
Mentor team members on best practices, technical skills, and career development.
Foster a collaborative and innovative team environment.
Conduct performance reviews and provide constructive feedback.
SQL Server Database Management:
Possess strong knowledge of SQL Server database design, development, and administration, with experience in integrating SQL Server with other systems within and outside of Azure.
Optimize SQL queries and database performance, particularly in the context of data integration processes.
Identify areas for improvement by targeting long-running queries and high resource consumption within our production environment.
Ensure data integrity, security, and availability within SQL Server environments that participate in broader data integration strategies.
Data Pipeline Development and Integration:
Oversee the development and maintenance of complex data pipelines using Dagster for seamless data integration from various sources.
Ensure the reliability, efficiency, and scalability of Dagster pipelines.
Troubleshoot and resolve issues related to data pipeline performance and data quality.
Implement monitoring and alerting for data pipeline health.
Microsoft Fabric and Azure Expertise:
Leverage a deep understanding of Microsoft Fabric and Azure data services (e.g., Azure Data Factory, Azure Synapse Analytics, Azure Blob Storage, Azure SQL Database, Azure Databricks) to build and optimize data solutions.
Design and implement data solutions that are cost-effective and aligned with Azure and SDLC best practices.
Stay up-to-date with the latest Azure data platform developments.
Power BI Reporting and Analytics:
Ensure data accuracy and performance of Power BI solutions by working with the Business Intelligence team to create seamless data integrations.
Optimize Power BI data models and DAX queries for performance.
Python Scripting and Automation:
Utilize Python for data manipulation, automation of data-related tasks, and integration with various data platforms and APIs, including those of external systems.
Develop and maintain Python scripts for data extraction, transformation, and loading (ETL/ELT) processes that facilitate integration across different systems.
Implement automated testing for Python-based data solutions involved in data integration.
Collaboration and Communication:
Collaborate effectively with other departments, including Business Intelligence, Analytics, and Engineering teams, to understand data needs and deliver integrated data solutions.
Communicate technical concepts clearly and effectively to both technical and non-technical stakeholders, especially regarding the complexities of data integration.
Participate in project planning and provide technical input, particularly concerning data integration strategies and challenges.
Document technical designs, processes, and solutions, with a strong emphasis on data integration workflows and dependencies.
Communicate regularly with the Director of Data to ensure alignment on key objectives and deliverables.

5 - 7 years of relevant industry specific experience with at least 1 - 2 years in a formal leadership position or tech lead role.

Experience with Snowflake, Google Big Query, AlloyDB and other Database Management Systems.
Experience with other cloud platforms (e.g., AWS, Google Cloud).
Familiarity with data science concepts and machine learning workflows.
Experience with CI/CD pipelines for data solutions.
Knowledge of data security best practices and compliance standards.
Azure certifications (e.g., Azure Data Engineer Associate, Azure Solutions Architect Expert).

Award-winning workplace – Named a Top Place to Work since 2021
Comprehensive benefits – Medical, dental, vision, and more
401(k) & Roth IRA – Because your future matters
Paid Time Off – Work-life balance is important to us!
Monthly company events & recognition programs
Service projects – Be part of something bigger than just a job
Pet insurance – Because furry family members deserve care too
Wellness program – Prioritize your mental and physical well-being
Previ – Exclusive employee perks including cellular discounts and up to 40% off gear from top lifestyle and tech brands
Maternity Leave – Paid time off to support you during this important life moment

Track Jobs with Teal

Job Search Resources

•

AI Resume Builder

•

Senior Data Engineer Resume Examples

•

Senior Data Engineer Cover Letter Examples

Senior Engineer - Data

Job Search Resources

Tools

Career Hubs

Guides

Company