Propelus - Data Engineer lll
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Requirements
• Bachelor's degree in Computer Science, Data Science, or a related field. • 3+ years of experience in data engineering or a similar role. • Proficiency in at least one programming language such as Python or Java. • Understanding of data warehousing concepts, modeling and methodologies. • Proficiency in SQL and experience with database management systems (e.g., MySQL, PostgreSQL, Oracle). • Experience with optimizing complex queries. • Strong proficiency in using Git for version control and collaboration on codebase. • Experience with NoSQL databases (e.g., MongoDB). • Familiarity with cloud-based data platforms (e.g., AWS, Azure, GCP). • Experience with ETL/ELT tools such as Apache Airflow or similar. • Ability to work collaboratively with teams across data science, business intelligence, and software engineering to deliver high-quality data solutions. • Solid understanding of the importance of data validation and the basics of ensuring data quality (e.g., checking for duplicates, missing values, or incorrect data formats). • Basic knowledge of data modeling techniques. • Strong analytical and problem-solving skills. • Benefits and Perks for Propelus employees include but are not limited to: • Awarded one of BuiltIn's 2025 Best Places to Work and honored as a Silver Stevie® Award Winner in the 2025 Stevie Awards For 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 or our Propelus culture Instagram accounts. • For US Employees: • 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
• Participate in the design, development, and maintenance of data pipelines using ETL/ELT processes to ingest, transform, and load data from various sources into the data warehouse. • Implement and maintain data quality checks and validation processes to ensure data accuracy and reliability. • Collaborate with data scientists and analysts to understand their data requirements and provide solutions to meet their analytical needs. • Contribute to the development and maintenance of data models, schemas, and dictionaries to ensure data consistency and usability. • Monitor data pipeline performance and troubleshoot data-related issues in a timely manner. • Assist in the evaluation and implementation of new data technologies and tools. • Develop and maintain documentation for data pipelines, processes, and data models. • Contribute to the development of data governance policies and procedures. • Participate in code reviews and knowledge sharing sessions with other data engineers. • Support the migration of existing data pipelines to more scalable and efficient solutions.
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