propelus - Senior Data Analytics Engineer

Remote - USA3w ago

Remote Senior NA Life Insurance Health Insurance Analytics Engineer Senior Data Engineer SQL Java Git PostgreSQL MySQL Python AWS Azure Snowflake Redshift Airflow dbt Reporting Documentation Data Quality

Requirements

• 1. Bachelor's degree in Computer Science, Data Science, Statistics, or a related field. • 2. 4+ years of experience in data engineering, analytics engineering, or a similar role. • 3. Proficiency in SQL and experience with relational databases (e.g., PostgreSQL, MySQL). • 4. Familiarity with cloud platforms (e.g., AWS, Google Cloud, Azure) and related data warehousing services (e.g., Snowflake, Redshift, BigQuery). • 5. Familiarity with data testing frameworks. • 6. Experience with ETL tools and techniques (e.g., Apache Airflow, dbt). • 7. Solid understanding of data modeling principles and data warehouse architecture. • 8. Strong analytical and problem-solving skills. • 9. Experience with at least one programming language (e.g., Python, Java). • 10. Good communication and collaboration skills. • 11. Proficiency in using Git for version control and collaboration on codebase. • BENEFITS AND PERKS FOR PROPELUS EMPLOYEES INCLUDE BUT ARE NOT LIMITED TO: • Awarded one of BuiltIn's 2025 Best Places to Work https://builtin.com/awards/colorado/2025/best-midsize-places-to-work and honored as a Silver Stevie® Award Winner in the 2025 Stevie Awards For Great Employers https://propelus.com/article/silver-stevie-award-2025-great-employers/. • Professional development allowance to help you grow in the ways that mean the most to you. • Flexibility for balancing work with the rest of life and ample PTO, including paid time off for volunteering, your birthday, and becoming a new parent. • Check us out for yourself at our careers page https://propelus.com/careers/ or our Propelus culture https://instagram.com/propelusculture/?img_index=1 Instagram accounts. • For US Employees: • 401K with company matching, as well as financial planning education and resources. • Employees can choose from HSA, FSA, and traditional insurance options for medical, dental, and vision coverage for themselves and dependents. • Lifestyle Spending Account (LSA): We support personal well-being by offering an annual lifestyle spending account that you can use for what matters most to you—whether it’s a gym membership, a meditation app, WFH equipment, or fresh produce delivered to your door. • For LATAM Employees: • Your health is our top priority! We cover 100% of your health insurance premiums. Our plans include national and international coverage, so you're protected no matter where you are. • Propelus Flex Club: Our flexible benefits platform gives you monthly points to redeem on what you need most. Plus, you'll get access to exclusive discounts just for being part of our team. • We've got you covered with a life insurance policy, paid 100% by the company. You can also add your beneficiaries at an exclusive, discounted rate.

Responsibilities

• 1. Develop and maintain robust and scalable data pipelines to extract, transform, and load (ETL) data from various sources into our data warehouse. • 2. Design, build, and optimize data models to support analytical needs and reporting requirements. • 3. Collaborate with data scientists to implement and deploy machine learning models and analytical solutions. • 4. Monitor data quality and identify and resolve data integrity issues. • 5. Contribute to the development of data documentation and metadata management practices. • 6. Work with stakeholders to understand their data needs and translate them into technical requirements. • 7. Assist in the evaluation and implementation of new data technologies and tools. • 8. Participate in code reviews and contribute to the development of coding standards and best practices. • 9. Independently manage assigned tasks and projects, ensuring timely delivery and quality results. • 10. Proactively identify opportunities to improve data processes and systems.