Data Engineer, Sr.
Role details
Job location
Tech stack
Job description
- Collaborate with business stakeholders, analysts, and IT teams to gather requirements and deliver scalable data solutions that support strategic business initiatives.
- Design, develop, and maintain robust data pipelines and ETL processes to ingest, transform, and load data from multiple internal and external sources.
- Develop and optimize SQL Server and Snowflake-based data solutions, including database development, performance tuning, and query optimization.
- Build and maintain data models and architectures that support analytics, reporting, and operational use cases.
- Implement and manage enterprise data warehouse solutions and cloud-based data platforms.
- Ensure data quality, consistency, and integrity through validation, monitoring, and automated checks.
- Design and implement master data management (MDM) processes to ensure single sources of truth across systems.
- Partner with application teams to integrate data systems and support end-to-end system workflows.
- Maintain and enforce data governance standards, security policies, and compliance requirements.
- Troubleshoot and resolve data-related issues, ensuring high system availability and performance.
- Prepare documentation, data dictionaries, technical specifications, and operational procedures.
- Serve as a technical expert and mentor to team members on data engineering best practices and technologies
Requirements
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Bachelor's degree in Computer Science, Information Systems, or a related field, or equivalent experience.
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10+ years of experience in data engineering, data warehousing, or database development.
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Strong experience with SQL Server, including T-SQL development, indexing, stored procedures, and performance tuning.
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Hands-on experience with Snowflake (or other cloud data warehouse platforms), including data modeling and optimization.
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Proven expertise in building and managing ETL/ELT pipelines using modern data integration tools.
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Strong knowledge of database architecture and design principles, including normalization, dimensional modeling, and scalability.
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Experience implementing and maintaining Master Data Management (MDM) solutions and data governance practices.
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Understanding data integration patterns, APIs, and real-time/streaming data processing.
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Familiarity with cloud environments and distributed data systems.
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Knowledge of systems development lifecycle (SDLC) methodologies.
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Experience with data quality frameworks, monitoring, and troubleshooting techniques.
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Strong analytical, problem-solving, and communication skills.
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Ability to work in a fast-paced, collaborative environment and manage multiple priorities., The physical demands described here are representative of those that must be met by an employee to successfully perform the essential job functions of this position. Reasonable accommodation may be made to enable individuals with disabilities to perform the functions. While performing the duties of this job, the employee is regularly required to: communicate and accurately exchange information with clients at normal speaking levels; remain standing for sustained periods of time; use hands to finger, grasp, or feel; reach by extending hand(s) and arm(s) in any direction; have visual acuity to view a laptop, determine the accuracy, neatness, and thoroughness of the work assigned. Working conditions are generally moderate and in an office environment.
Benefits & conditions
$175,000 - $180,000 a year Health insurance, 401(k) matching, Vision insurance, Dental insurance, Flexible spending account, Life insurance, Disability insurance California, What Benefits You'll Receive
- Premium Medical, Dental and Vision Insurance Plans
- Company provided Basic Life and Short-Term Disability plans
- Competitive salary and equity compensation packages
- Voluntary Life Insurance
- 401(k) savings plan with matching contributions
- Healthcare and Dependent Care Flexible Spending Accounts (FSA)