Job Overview
Location
Remote - US
Job Type
Full-time
Category
Data Science
Date Posted
June 4, 2026
Full Job Description
đź“‹ Description
- • Develop and maintain robust and scalable ETL data pipelines to extract, transform, and load data from multiple sources into the company’s data warehouse.
- • Design, build, and optimize data models to support analytical reporting requirements and business intelligence needs.
- • Collaborate with data scientists to implement and deploy machine learning models and analytical solutions into production environments.
- • Monitor data quality across pipelines and proactively identify, investigate, and resolve data integrity issues.
- • Contribute to the development and maintenance of comprehensive data documentation and metadata management practices.
- • Work directly with product managers, engineers, and other stakeholders to translate business data needs into technical specifications and deliverable solutions.
- • Assist in evaluating and implementing new data technologies, tools, and platforms to enhance the analytics infrastructure.
- • Participate in code reviews and help establish and enforce coding standards and best practices across the data engineering team.
- • Independently manage assigned projects and tasks, ensuring timely delivery, high-quality outputs, and alignment with business objectives.
- • Proactively identify opportunities to improve data processes, increase system efficiency, and reduce operational risk in compliance-related data workflows.
- • Support the delivery of key datasets and reports that enable data-driven decision-making across the organization, particularly in workforce compliance management for healthcare.
- • Utilize Git for version control and collaborative development of data pipelines and analytics codebases.
- • Ensure all data infrastructure supports the company’s mission to simplify compliance operations and promote a safer, healthier workforce through accurate, accessible, and reliable data.
🎯 Requirements
- • Bachelor's degree in Computer Science, Data Science, Statistics, or a related field
- • 4+ years of experience in data engineering, analytics engineering, or a similar role
- • Proficiency in SQL and experience with relational databases (e.g., PostgreSQL, MySQL)
- • Familiarity with cloud platforms (e.g., AWS, Google Cloud, Azure) and data warehousing services (e.g., Snowflake, Redshift, BigQuery)
- • Experience with ETL tools and techniques (e.g., Apache Airflow, dbt)
- • Solid understanding of data modeling principles and data warehouse architecture
🏖️ Benefits
- • Professional development allowance for personal growth and learning
- • Flexibility for work-life balance with ample PTO, including paid time off for volunteering, birthday, and parental leave
- • 401K with company matching and financial planning resources (for US employees)
- • HSA, FSA, and traditional medical, dental, and vision insurance options (for US employees)
- • Lifestyle Spending Account (LSA) for personal well-being expenses (e.g., gym, meditation apps, WFH equipment)
- • 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
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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