Data Platform Engineer
$80k - $100kApogee Enterprises
Apogee Services Inc.
Position Summary Apogee's Data, Analytics & Integration organization focuses on implementing processes and solutions for Data Governance, Master Data Management, Data Analytics and Integration. This Data Platform Engineer will fill a critical role in enhancing and supporting the Data Analytics environment for prioritized Apogee Data Domains; educating our IT & Business Partners; implementing and supporting future Data Integration and Data Analytics solutions; and consulting on data-related projects from the data engineering perspective across the organization. Responsibilities- Design, develop, and maintain scalable and robust data pipeline architectures, ensuring data quality and consistency across multiple data sources
- Collaborate with the Business Intelligence team and business stakeholders to understand data requirements and translate them into technical solutions
- Help implement best practices for data governance, data security, and data privacy, ensuring compliance with relevant industry regulations and standards
- Develop and maintain ETL (Extract, Transform, Load) processes to support data ingestion, transformation, and integration from various sources, including APIs, databases, and external data providers
- Monitor and troubleshoot data pipeline performance issues, ensuring timely resolution and minimal downtime
- Organize and monitor testing, training, documentation, and sign offs related to data platforms
- Configure and implement data management and analytic platform changes
- Document data pipeline architectures, workflows, and procedures for internal and external stakeholders
- Work closely with cross-functional teams to support the integration of data-driven insights into business processes and decision-making
- Other duties as assigned
- Bachelor's in computer science, Engineering, or a related field
- 3-5 years of experience in data engineering, with a proven track record of designing and implementing complex data pipelines
- Strong expertise in SQL, data modeling, and data warehousing concepts
- Experience with Databricks
- Experience with the Microsoft Power BI data visualization tool
- Strong problem-solving skills, attention to detail, and ability to work both independently and as part of a team
- Excellent communication skills, with the ability to explain complex technical concepts to non-technical stakeholders
- A strong desire to stay up to date with the latest industry trends and advancements in data engineering
- Master's degree
- Experience with Snowflake Data Cloud
- Proficient in the Microsoft Azure framework (e.g., Analysis Service, Data Factory, ...)
- Competitive Benefits Package for employees and their dependents (Medical, Dental, Vision, Life, Disability)
- Incentive Plans
- 401(k) with employer contribution and match
- Employee Stock Purchase Plan with employer match
- Paid Time Off (Vacation and Sick Time)
- Paid Holidays
- Tuition Reimbursement Program
- Employee Assistance Program (EAP)
- Wellness Program
- Training and Career Progression
Vacancy posted 23 hours ago
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