Propelus

Senior Data Engineer

Remote - US · Senior · Part-time

Sponsorship not specifiedDetected 46 days ago

PythonCode ReviewGitSQLNoSQLPostgreSQLMySQLMongoDBAWSGCPAzureAirflowData EngineeringData ScienceCommunicationCollaborationProblem Solving

About the role

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.

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.
Develop and maintain documentation for data pipelines, processes, and data models.
Support the migration of existing data pipelines to more scalable and efficient solutions.
We deliver seamless compliance solutions to millions.

4+ years of experience in data engineering or a similar role.
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).

Bachelor's degree in Computer Science, Data Science, or a related field.
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.
Basic knowledge of data modeling techniques.
Strong analytical and problem-solving skills.

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 produ

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.
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.
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® simplifies workforce compliance management across healthcare.
Our innovative technology and strategic partnerships empower millions of professionals, their employers, and regulators to work together, creating a connected and efficient healthcare ecosystem.
As a trusted leader for over 20 years, Propelus has focused on bringing more good into the lives of the people and organizations serving healthcare.

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.

This listing is sourced directly from Propelus's careers page and normalized into a canonical job model.