Data Integration Engineer II: Build Scalable Pipelines

Mpulse Mobile, Inc; United States; Remote; USD 110,000 - 170,000; Full time

Job summary

Mpulse Mobile, Inc is seeking a data operations professional to design, develop, and maintain scalable data pipelines that power analytics and product capabilities. You will collaborate with product engineering, implementation, analytics, and customer success teams to ensure accurate, reliable, and accessible data.

The ideal candidate brings strong SQL, data warehousing experience, and a passion for building well-documented data systems that scale with business needs across healthcare analytics.

Qualifications

• Bachelor's or master's degree in computer science, engineering, or related technical field, or equivalent practical experience.
• Minimum of 3 years of professional experience in data engineering, data integration, or related role.
• Strong proficiency in SQL, including complex querying, data transformation, and query performance optimization.
• Experience with cloud-based data platforms and services, particularly within AWS (e.g., S3, Secrets Manager/Vault, DMS, or similar services).
• Hands-on experience with modern data warehousing platforms like Snowflake, PostgreSQL, Redshift, or MS SQL Server.
• Experience developing and maintaining workflow orchestration pipelines using Apache Airflow (DAG development, ops).
• Experience using dbt to develop, test, and manage modular SQL-based data transformation models.
• Version control familiarity with GitHub/Bitbucket.
• Proficiency in Python for data manipulation and automation.
• Familiarity with CI/CD practices and tools (Jenkins, GitHub Actions).
• Strong written and verbal communication across technical and non-technical teams.

Responsibilities

• Design, develop, and maintain scalable data integration pipelines (ETL/ELT) to support data ingestion, transformation, cleansing, curation, and unification across multiple data sources.
• Develop and support end-to-end data pipeline components, including ingestion, validation, transformation, cleansing, and curated data layer development.
• Monitor, maintain, and optimize production data pipelines to ensure reliability, performance, and successful execution of scheduled workflows.
• Create and maintain comprehensive technical documentation for data pipelines, workflows, and data models.
• Develop tools and frameworks to support automated data profiling, data quality monitoring, and unit testing to ensure high-quality and reliable data assets.
• Collaborate with implementation teams to identify, investigate, and resolve data anomalies during data onboarding and integration processes.
• Partner with product engineering teams to ensure accurate data capture and alignment with application data specifications and business requirements.
• Provide data-related support to analytics and customer success teams, assisting with troubleshooting, reporting needs, and client data inquiries.

Skills

SQL proficiency

Python proficiency

Communication skills

Collaborative

Problem solving

Education

Bachelor's or master's in CS/Engineering/related

Tools

AWS (S3, Secrets Manager/Vault, DMS)

Snowflake

PostgreSQL

Amazon Redshift

Microsoft SQL Server

Airflow

dbt

GitHub

Bitbucket

Python

Jenkins

GitHub Actions

Job description

Mpulse Mobile, Inc is seeking a data operations professional to design, develop, and maintain scalable data pipelines that power analytics and product capabilities. You will collaborate with product engineering, implementation, analytics, and customer success teams to ensure accurate, reliable, and accessible data.

The ideal candidate brings strong SQL, data warehousing experience, and a passion for building well-documented data systems that scale with business needs across healthcare analytics.