Sr ETL Engineer at Aspirion

Columbus, Georgia, United States -

Full Time

Start Date

Immediate

Expiry Date

27 May, 26

Salary

0.0

Posted On

26 Feb, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

ETL, EasyMorph, Databricks, Azure Data Factory, Talend, Apache Nifi, TXT, CSV, XML, JSON, YAML, Python, C#, Java, TDD, Data Quality

Industry

Hospitals and Health Care

Description

Description Sr ETL Engineer Columbus, GA IT Software Engineering For over two decades, Aspirion has delivered market-leading revenue cycle services. We specialize in collecting challenging payments from third-party payers, focusing on complex denials, aged accounts receivables, motor vehicle accident, workers’ compensation, Veterans Affairs, and out-of-state Medicaid. At the core of our success is our highly valued team of over 1,400 teammates as reflected in one of our core guiding principles, “Our teammates are the foundation of our success.” United by a shared commitment to client excellence, we focus on achieving outstanding outcomes for our clients, aiming to consistently provide the highest revenue yield in the shortest possible time. We are committed to creating a results-oriented work environment that is both challenging and rewarding, fostering flexibility, and encouraging personal and professional growth. Joining Aspirion means becoming a part of an industry leading team, where you will have the opportunity to engage with innovative technology, collaborate with a diverse and talented team, and contribute to the success of our hospital and health system partners. Aspirion maintains a strong partnership with Linden Capital Partners, serving as our trusted private equity sponsor. We are seeking an experienced Sr ETL Engineer responsible for designing, developing, and optimizing ETL processes to support Aspirion’s data-driven initiatives. The ideal candidate is eager to hit the ground running and contribute to the next generation of ETL pipelines. Experience with EasyMorph, Databricks, Azure Data Factory, Talend, and Apache Nifi is a strong plus. Candidates must be well-versed in ETL file formats (TXT, CSV, XML, JSON, YAML) and possess strong programming skills in Python, C#, or Java. A keen eye for detail, a commitment to quality, and the ability to learn complex systems quickly are essential. A background in test-driven development (TDD) is highly desirable. Key Responsibilities Develop and maintain ETL processes to support data ingestion, transformation, and integration. Work with various file formats (TXT, CSV, XML, JSON, YAML) to ensure seamless data processing. Implement and optimize ETL workflows using EasyMorph, Databricks, Azure Data Factory, Talend, and Apache Nifi. Write clean, efficient, and maintainable code using Python, C#, or Java. Ensure data quality, accuracy, and integrity across ETL pipelines. Collaborate with data engineers and analysts to define and refine ETL requirements. Troubleshoot and resolve ETL failures, ensuring minimal downtime and impact. Follow test-driven development (TDD) methodologies to improve reliability and maintainability. Maintain and document ETL processes, providing insights and recommendations for improvements. Requirements Detail-oriented with a strong focus on data quality and validation. Ability to quickly learn and adapt to complex systems and processes. Understanding of test-driven development (TDD) and automated testing practices. Problem-solving mindset with strong analytical and debugging skills. Excellent communication and collaboration skills to work with cross-functional teams. Prior experience with EasyMorph, Databricks, Azure Data Factory, Talend, or Apache Nifi is a plus, but not required. Education and Experience Bachelor’s degree in Computer Science, Software Engineering, Data Science, or a related technical field. 3+ years of experience in ETL development or data engineering. Experience with ETL tools and frameworks (EasyMorph, Databricks, Azure Data Factory, Talend, Apache Nifi). Strong programming skills in Python, C#, or Java. Familiarity with structured and semi-structured data formats (TXT, CSV, XML, JSON, YAML). Benefits At Aspirion we invest in our employees by offering a full benefits package, including health, dental, vision and life insurance upon hire, matching 401k, competitive salaries, advancement opportunities, and incentive programs.Individual pay is determined by a number of factors including, but not limited to, job-related skills, experience, education, training, licensure or certifications obtained. Market, location and organizational factors are also considered. In addition to base salary, a competitive benefits package is offered.Must reside in the United States within one of the states listed below: Alabama, Arizona, Arkansas, Delaware, Florida, Georgia, Iowa, Indiana, Kansas, Kentucky, Louisiana, Massachusetts, Maine, Maryland, Michigan, Minnesota, Missouri, Mississippi, Montana, North Carolina, Nebraska, New Hampshire, Ohio, Oklahoma, Pennsylvania, Rhode Island, South Carolina, South Dakota, Tennessee, Texas, Virginia, Wisconsin, West Virginia, and Wyoming. AAP/EEO Statement Equal Opportunity Employer/Drug-Free Workplace: Aspirion is an Equal Employment Opportunity employer. We adhere to a policy of making employment decisions without regard to race, color, age, sex, pregnancy, religion, national origin, ancestry, medical condition, marital status, gender identity citizenship status, veteran status, disability, or veteran status. Aspirion has a Drug-Free Workplace Policy in effect that is strictly adhered to.Please note that this position is contingent upon the successful completion of a pre-employment drug screening and background check. These steps are part of our standard hiring process to ensure a safe and compliant workplace.

Responsibilities

The Sr ETL Engineer will be responsible for designing, developing, and optimizing ETL processes to support data ingestion, transformation, and integration, while collaborating with data teams to define requirements. Key duties include implementing and optimizing workflows using specified tools and writing clean, efficient code in Python, C#, or Java.