Data Engineer Intern gaining hands - on experience in TD's big data platform. Collaborating on software development and system enhancements while learning about analytical tools and technologies.
About the role
- Data Engineer at Strider Technologies designing and scaling data platforms using cloud technologies. Collaborating with teams to create a robust analytics and BI infrastructure.
Responsibilities
- Design, implement, and maintain scalable data pipelines (ETL/ELT) in a modern cloud data warehouse (e.g., Databricks, Snowflake, BigQuery, or Redshift).
- Ingest, transform, and integrate internal system data (e.g., CRM, product, finance) and external vendor datasets.
- Prepare and process structured and unstructured data to support analytics, business intelligence, and automation use cases.
- Model and optimize datasets using Lakehouse or warehouse-based architectures for downstream consumption.
- Collaborate closely with analysts and cross-functional partners to build production-grade data assets.
- Champion and implement best practices for data quality, observability, and lineage.
- Partner with cloud infrastructure teams (AWS, Azure, or GCP) to ensure scalable, secure, and cost-efficient systems.
- Explore and deploy AI-enabled automation tools and workflows across the business.
- Advocate for productivity-boosting technologies such as ChatGPT, Copilot, Cursor, and dbt-assist.
- Help document standards, develop reusable components, and mentor junior data engineers.
Requirements
- 5+ years of experience in data engineering or analytics engineering roles.
- Strong proficiency with SQL and Python (or Scala).
- Hands-on experience with modern cloud data warehouses (Databricks, Snowflake, BigQuery, or Redshift).
- Familiarity with tools in the modern data stack (e.g., dbt, Airflow, Fivetran, Dagster).
- Proven ability to manage and transform large, complex datasets across structured and unstructured formats.
- Solid understanding of data warehousing concepts, dimensional modeling, and Git-based version control.
- Experience leveraging AI-assisted development tools and enthusiasm for scaling their use internally.
- Comfortable working in fast-paced environments and collaborating across technical and non-technical teams.
Benefits
- Competitive Compensation
- Company Equity Options
- Flexible PTO
- Wellness Reimbursement
- US Holidays (Office Closed)
- Paid Parental Leave
- Comprehensive Medical, Dental, and Vision Insurance
- 401(k) Plan
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
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