Data Pipeline Engineer II: Build Scalable Data Flows

mPulse; United States; On-site; USD 110,000 - 150,000; Full time

Job summary

mPulse is seeking a data operations professional to design, develop, and maintain scalable data pipelines powering analytics and product capabilities. You will collaborate with product engineering, implementation, analytics, and customer success to ensure accurate, reliable data across multiple sources.

The ideal candidate has strong SQL, data warehousing experience, and a passion for building well-documented data systems while working with AWS, Snowflake, Airflow, and dbt in a fast-paced

Qualifications

• Bachelor’s or Master’s degree in computer science, engineering, or related field; or equivalent practical experience.
• Minimum of 3 years in data engineering, data integration, or related role.
• Strong SQL proficiency including complex querying and optimization.
• Experience with cloud data platforms on AWS and modern data warehouses (Snowflake, Redshift, etc.).
• Experience with Airflow DAGs and orchestration; dbt for modular transformations.
• Version control with GitHub or similar; Python for data tasks.
• Experience with CI/CD tools (Jenkins, GitHub Actions).
• Excellent communication across technical and non-technical teams.

Responsibilities

• Design, develop, and maintain scalable data pipelines (ETL/ELT) for ingestion, transformation, cleansing, and unification across data sources.
• Build end-to-end pipeline components: ingestion, validation, transformation, and curated data layers.
• Monitor and optimize production pipelines for reliability and performance.
• Create technical documentation for data pipelines, workflows, and data models.
• Develop data profiling, quality monitoring, and unit testing frameworks.
• Collaborate with implementation teams to resolve data onboarding issues.
• Partner with product engineering to align data capture with app specs and business needs.
• Provide data support to analytics and customer success teams for reporting and inquiries.

Skills

SQL proficiency

Python scripting

Data modeling

Cross-team collaboration

Education

Bachelor’s or Master’s in CS/Engineering or related field

Tools

AWS (S3, Secrets Manager/Vault, DMS)

Snowflake

PostgreSQL

Redshift

MS SQL Server

Airflow

dbt

GitHub

Jenkins

Job description

mPulse is seeking a data operations professional to design, develop, and maintain scalable data pipelines powering analytics and product capabilities. You will collaborate with product engineering, implementation, analytics, and customer success to ensure accurate, reliable data across multiple sources.

The ideal candidate has strong SQL, data warehousing experience, and a passion for building well-documented data systems while working with AWS, Snowflake, Airflow, and dbt in a fast-paced