Senior Data Engineer

Propelus Inc.

Job Overview

Location

Remote - US

Job Type

Full-time

Full Job Description

📋 Description

• Design, develop, and maintain scalable data pipelines using ETL/ELT processes to ingest, transform, and load data from multiple sources into the company’s data warehouse.
• Implement and enforce data quality checks and validation protocols to ensure accuracy, consistency, and reliability of all data assets.
• Collaborate with data scientists and analysts to interpret their analytical requirements and deliver tailored data solutions that support decision-making and innovation.
• Contribute to the design, documentation, and maintenance of data models, schemas, and data dictionaries to ensure standardized and usable data structures across teams.
• Monitor the performance of data pipelines, proactively identify bottlenecks, and troubleshoot data-related issues to minimize downtime and ensure operational continuity.
• Evaluate and recommend new data technologies, tools, and platforms to enhance the efficiency, scalability, and security of the data infrastructure.
• Develop and maintain comprehensive documentation for all data pipelines, processes, data models, and governance procedures to support knowledge sharing and onboarding.
• Participate in the development and enforcement of data governance policies and procedures to align with regulatory and organizational standards.
• Engage in regular code reviews and knowledge-sharing sessions with fellow data engineers to promote best practices and collective technical growth.
• Support the migration of legacy data pipelines to modern, scalable architectures that improve performance and reduce technical debt.
• Optimize complex SQL queries for performance and efficiency across relational database systems such as MySQL, PostgreSQL, and Oracle.
• Work with NoSQL databases including MongoDB to manage unstructured and semi-structured data sources as needed.
• Utilize Git for version control, collaborative development, and codebase management in a team environment.
• Apply foundational knowledge of data modeling techniques to design schemas that support analytical and operational use cases.
• Ensure adherence to data validation principles by identifying and resolving issues such as duplicates, missing values, and incorrect data formats.
• Maintain strong communication with cross-functional teams including software engineering, business intelligence, and data science to deliver high-quality, timely data solutions.
• Contribute to the continuous improvement of data infrastructure by staying current with industry trends and applying practical insights to daily workflows.
• Support company objectives by enabling data-driven decision-making that reduces risk, improves compliance, and enhances workforce health and safety in the healthcare sector.

🎯 Requirements

• Bachelor's degree in Computer Science, Data Science, or a related field
• 4+ years of experience in data engineering or a similar role
• Proficiency in at least one programming language such as Python or Java
• Experience with ETL/ELT tools such as Apache Airflow or similar
• Proficiency in SQL and experience with relational database systems (e.g., MySQL, PostgreSQL, Oracle)
• Experience with cloud-based data platforms (e.g., AWS, Azure, GCP)

🏖️ Benefits

• Professional development allowance to support personal growth and learning
• Flexibility for balancing work with personal life and ample PTO including paid time off for volunteering, birthday, and parental leave
• 401K with company matching and financial planning education resources (for US employees)
• HSA, FSA, and traditional insurance options for medical, dental, and vision coverage (for US employees)
• Lifestyle Spending Account (LSA) for personal well-being expenses such as gym memberships, meditation apps, WFH equipment, or groceries (for US employees)
• 100% covered health insurance with national and international coverage (for LATAM employees)
• Propelus Flex Club with monthly redeemable points and exclusive team discounts (for LATAM employees)
• Company-paid life insurance policy with discounted beneficiary addition options (for LATAM employees)

Skills & Technologies

Python

Java

PostgreSQL

MySQL

MongoDB

Senior

Remote

Degree Required

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Propelus Inc.

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About Propelus Inc.

Propelus Inc. delivers cloud-based workforce compliance and professional development software for healthcare, government, and education sectors. The platform automates license verification, continuing education tracking, and credential management to reduce regulatory risk and administrative burden. It consolidates data from licensing boards and training providers, enabling real-time monitoring and renewal workflows. Headquartered in Austin, Texas, Propelus serves thousands of organizations across the United States, helping them maintain compliance while supporting employee growth through integrated learning and certification tools.

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