Senior Data Engineer

This is a fully remote position, open to applicants in United States.

📋 Description

• Develop and manage scalable batch and real-time streaming pipelines, as well as ETL/ELT workflows and database applications.

• Create dimensional models and reusable datasets tailored to business, analytics, and data science requirements.

• Conduct intricate data analyses to confirm business rules, detect trends and anomalies, and identify opportunities.

• Automate quality assurance processes, oversee data freshness, optimize performance, and manage computing costs.

• Engage in the on-call rotation, address incidents, and implement measures to prevent recurrence.

• Establish reusable frameworks and development patterns.

• Utilize automated testing, conduct code reviews, and facilitate repeatable deployments.

• Uphold technical standards, maintain runbooks, and develop learning materials.

• Collaborate with business users and engineering teams to clarify requirements and troubleshoot issues.

• Contribute to the data engineering roadmap, encompassing platform capabilities, prioritization, technical trade-offs, and delivery estimates.

• Implement and validate AI tools for development, testing, documentation, and troubleshooting purposes.

• Work alongside analytics, data science, product, business operations, platform, and infrastructure teams.

⛳️ Requirements

• Over 5 years of practical experience in data engineering, which includes data warehousing, ETL/ELT development, and analytics.

• Proficient in advanced SQL, with the ability to write, optimize, and debug complex queries.

• Experience in designing data lakes and warehouses on scalable, distributed platforms.

• Familiarity with batch and streaming integration patterns.

• Strong skills in dimensional modeling and established data warehousing practices.

• Capability to deliver projects with minimal supervision in an Agile team environment.

• Experience with testing, version control, documentation, and systematic troubleshooting procedures.

• Excellent written, verbal, and data presentation abilities.

• Candidates must possess legal authorization to work in the United States.

• Must not require employer-sponsored immigration assistance, either now or in the future.

• Knowledge of Snowflake, SQL Server, Matillion, dbt, Python, C#, PowerShell, Git/GitLab, CI/CD, Power BI, Tableau, Streamlit, and AI-assisted development tools is advantageous.

• A degree in Computer Science, Mathematics, or a related field, or equivalent hands-on experience is preferred.

🏝️ Benefits

• Medical, dental, and vision insurance options.

• 401(k) matching program.

• Generous paid time off policy.

• Access to wellness programs and resources.

• Eligibility for annual performance bonuses.

• A culture of trust and flexibility to excel in your role.

• Opportunities for ownership and experimentation.

• Recognition through the GSD (Get Stuff Done) Award program.