
Senior Data Engineer
Posted May 9

Posted May 9
This is a fully remote position, open to applicants in Alabama, +37 more states.
• Design, construct, and sustain scalable architectures for Snowflake-based data warehouses, ensuring optimal performance, reliability, and future extensibility.
• Take ownership of data architecture and technical design choices, including data models, integration patterns, and optimization strategies.
• Convert raw source data from various internal and external systems into analytics-ready data models by following industry best practices.
• Lead and participate in warehouse development utilizing dimensional modeling techniques, such as star schemas and slowly changing dimensions.
• Create and oversee data pipelines using Snowflake functionalities like Snowpipe, tasks, stored procedures, and performance optimization methods.
• Oversee and track data integrations with internal systems through APIs, application calls, or custom code to guarantee data accuracy and reliability.
• Implement auditing, change tracking, error handling, and monitoring across extensive datasets to uphold high standards of data quality.
• Detect and rectify data quality issues, and establish controls to differentiate between valid and invalid data utilized in decision-making.
• Utilize Python and application knowledge to interact with and extract data from various systems.
• Provide technical guidance by coaching and mentoring junior and mid-level data engineers, including conducting code reviews, offering design feedback, and sharing best practices.
• Contribute to and help establish data engineering standards, best practices, and documentation within the team.
• Collaborate across teams to address daily operational data needs while continuously enhancing data pipelines and processes.
• Over 7 years of extensive hands-on experience with Snowflake, encompassing data modeling, performance tuning, tasks, stored procedures, and ingestion patterns.
• More than 7 years of advanced hands-on experience in SQL, with significant expertise in designing and optimizing queries within Snowflake.
• Proficient in Python and experienced in applying Python within data engineering or integration workflows.
• Experience in working with APIs and application-based data integrations.
• Strong grasp of data engineering principles, data warehousing concepts, and cloud-based architectures.
• Proven experience in designing and implementing ETL/ELT processes at scale.
• Familiarity with cloud environments and data ecosystems (Snowflake, AWS S3, Azure, etc.), with Snowflake as the primary platform.
• Experience with data migration and integration tools such as Stitch, Workato, Kafka, and API-based ingestion.
• Background in working with Salesforce data, including reporting and integration requirements.
• Experience with financial data and an understanding of data governance considerations.
• Solid comprehension of data architecture and modeling methodologies, including star schema, snowflake schema, and Type 2 dimensions.
• Ability to articulate complex data concepts clearly to both technical and non-technical audiences.
• Familiarity with Agile development methodologies.
• Team-oriented attitude with the capability to work independently and take initiative without significant oversight.
• Strong documentation skills and a commitment to maintaining clear and precise technical artifacts.
• Eagerness and ability to mentor others, as well as a willingness to learn and adopt new tools and methods.
• 100% Employer Paid Health Insurance HSA or Base Plan, Dental, Life Insurance, AD&D Insurance, Short Term Disability, Long Term Disability
• Additional benefits include Vision, Accident, Critical Illness, Voluntary Life & AD&D
• Paid Holidays and 4 weeks PTO
• Paid days off to Volunteer
• 401(k) Plan with employer match
• Competitive benefits and pay
• Small collaborative teams where you can influence both outcomes and culture
• Ongoing professional development opportunities
• Become part of a rapidly growing company that promotes from within
HubSpot
Prima
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