SDET / ETL Backend Tester

Job Title:

SDET / ETL Backend Tester
Location:

100% Remote (Candidates must reside in the DMV area - DC, MD, VA)
Interview Onsite

GC/USC

Strong in Java/Selenium automation, SQL (complex queries), Jenkins scripting, and ETL backend testing within healthcare insurance (Claims/Enrollment) systems handling large enterprise datasets.
Job Overview

Software Development Engineer in Test (SDET)

with strong

Backend ETL Testing

experience to join a fast-paced, cross-functional team. The ideal candidate will have hands-on expertise in

Java/Selenium automation ,

SQL querying , and

Jenkins scripting , with proven experience handling

large enterprise data sets . This role involves supporting production environments and ensuring data integrity across backend systems.
Key Responsibilities
Design, develop, and maintain automated test scripts using

Java/Selenium

and related tools.
Perform

Backend ETL testing , validating data movement, transformation, and integrity across systems.
Write and execute

complex SQL queries

to analyze, validate, and troubleshoot large datasets (in the millions).
Create and maintain

Jenkins pipelines and scripts

for continuous integration and automation.
Collaborate with cross-functional teams to identify, document, and resolve defects in

Agile and Waterfall

environments.
Develop and maintain

test plans, test cases, and test scenarios

for both frontend and backend systems.
Support

healthcare insurance systems , focusing on

Claims or Enrollment

platforms.
Participate in

production support

and contribute to quality improvements in enterprise-level applications.
Required Qualifications
Bachelor's degree

in Computer Science, Information Systems, or related field.
6+ years

of experience as an

SDET , with hands-on automation and backend ETL testing expertise.
Proven experience in

Healthcare Insurance

domain (Claims or Enrollment).
Strong

SQL skills

- must be able to handle

large, complex queries

for enterprise-scale data.
Experience with

Jenkins scripting

and pipeline automation.
Proficient in

Java/Selenium ,

SoapUI , or similar tools for front-end and API automation.
Experience with

large datasets

(millions of records).
Strong understanding of

SDLC, Agile, and Waterfall methodologies .
Hands-on experience with

defect tracking tools

such as ALM, AGM, or JIRA.
Excellent verbal and written communication skills.
Preferred Qualifications
Experience with

DB2 UDB ,

DB2 Mainframe , or

MongoDB

databases.
Exposure to

GenAI testing

frameworks or methodologies and work on

enterprise-level projects

involving large-scale data processing and automation initiatives.