Senior Data Engineer
Propelus•Boulder, CO
•$100,000 - $140,000
About The Position
The Data Engineer plays a crucial role in building and maintaining the data infrastructure that supports our data strategy. This role focuses on contributing to the development of data pipelines, ensuring data quality, and collaborating with cross-functional teams to deliver actionable insights. Working independently on assigned tasks and projects, the Data Engineer contributes to the overall effectiveness of the data department and supports the company's objective of leveraging data for continuous improvement and innovation.
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.
- 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.
- Excellent communication skills.
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.
Benefits
- Professional development allowance
- Flexibility for balancing work with the rest of life
- Ample PTO
- Paid time off for volunteering
- Paid time off for your birthday
- Paid time off for becoming a new parent
- 401K with company matching
- Financial planning education and resources
- HSA, FSA, and traditional insurance options for medical, dental, and vision coverage for themselves and dependents (US Employees)
- Lifestyle Spending Account (LSA) for personal well-being (US Employees)
- 100% coverage of health insurance premiums with national and international coverage (LATAM Employees)
- Propelus Flex Club: flexible benefits platform with monthly points and exclusive discounts (LATAM Employees)
- Life insurance policy, paid 100% by the company
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What This Job Offers
Job Type
Full-time
Career Level
Senior
