Data Engineer – Progressive

About Progressive

Progressiv is driving data-driven innovation, investing in scalable data infrastructure to support analytics, AI, and business intelligence. We seek a Data Engineer to design, build, and optimize data pipelines, ensuring seamless data flow and operational efficiency.

Key Responsibilities

✅ Data Pipeline Development – Build and optimize ETL/ELT pipelines, handle structured & unstructured data, and implement real-time streaming (Kafka, Pub/Sub, Kinesis).

✅ Cloud & DevOps – Manage GCP, AWS, or Azure data infrastructure, automate with Terraform & CI/CD pipelines, and optimize BigQuery, Snowflake, Databricks.

✅ Data Governance & Security – Ensure data integrity, compliance, and security with access controls, monitoring, and quality checks.

✅ Collaboration – Partner with Data Science, Analytics, and Engineering teams to align solutions with business needs.

Qualifications & Skills

4+ years in data engineering with SQL, Python, and cloud platforms (GCP, AWS, or Azure).

Expertise in BigQuery, Snowflake, Databricks, Apache Spark, DBT, Terraform, and Kubernetes.

Strong knowledge of data modeling, CI/CD, DevOps best practices, and infrastructure automation.

Problem-solving mindset, ability to work independently in an agile environment, and excellent communication skills.

Why Join Progressive?

Competitive salary, flexible work environment & cutting-edge tech.

Growth-focused culture with professional development opportunities.

Work on impactful data-driven projects in a collaborative environment.

Apply now with your resume & cover letter!

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