Data Platform Engineer, Snowflake

Job not on LinkedIn

🔥 0 minutes ago

🏄 California, New York – Remote

🏄 California – Remote 🗽 New York – Remote

💵 $110k - $130k / year

⏰ Full Time

🟢 Junior

🟡 Mid-level

🏗️ Platform Engineer

Apply Now

Find Similar Remote Jobs

Receive Emails For Remote Jobs

📊 Check your resume score for this job

Improve your chances of getting an interview by checking your resume score before you apply.

Upload Resume

JDPA LIMITED

WebsiteLinkedInAll Job Openings

- employees

🚗 Transport

☁️ SaaS

🤝 B2B

Transport • SaaS • B2B

JDPA LIMITED is a provider of data, analytics, and software solutions serving the automotive ecosystem and adjacent financial and insurance sectors. It offers vehicle valuations, market and retail intelligence, quality and customer-experience benchmarks, digital marketing and advisory services to OEMs, dealers, insurers and lenders. JDPA LIMITED combines proprietary customer and VIN data with advanced analytics and SaaS products to help clients improve product design, retail performance, risk management, and finance operations.

📋 Description

• Execute and extend the engineering patterns established by the Snowflake Platform Lead and Senior Data Platform Engineer. • Responsible for the day-to-day build, deployment, and operation of Snowflake objects, pipelines, and tooling. • Own Implementation of Snowflake objects and roles in Terraform per established patterns. • Day-to-day operation of CI/CD pipelines for database changes. • Configuration and maintenance of assigned ingestion pipelines (Snowpipe, Streams/Tasks, managed connectors). • First-line response to platform alerts on assigned components. • Documentation and runbook updates for work this role delivers. • Contributes to (under guidance of the Senior) Architecture and pattern design decisions. • RBAC model evolution and security policy implementation. • Performance tuning and cost optimization initiatives.

🎯 Requirements

• 2–4 years of professional software, data, or platform engineering experience. • Strong SQL — comfortable with joins, window functions, CTEs, and reading explain plans. • Python for scripting, automation, and data work. • Cloud data warehouse experience — Snowflake preferred; recent Redshift, BigQuery, or Databricks SQL experience considered. • Version control discipline — comfortable in Git workflows with branching, code review, and CI/CD. • Some Infrastructure-as-Code exposure — Terraform, CloudFormation, Pulumi, or equivalent. • Working knowledge of dbt — comfortable reading models, writing tests, and running dbt build in CI. • Cloud fluency in AWS or Azure — comfortable with IAM, storage, and basic networking. • Production experience — has shipped code to production systems and been on-call or supported live systems. • Communication — can write clear PR descriptions, ask good questions, and document their work.

🏖️ Benefits

• Health insurance • Retirement plans • Paid time off • Flexible work arrangements • Professional development