AWS Data Quality Engineer - US Citizen / GC Holders

HCL Technologies Limited; Seattle (WA); On-site; USD 69,000 - 128,000; Full time

Benefits offered by this job

Medical benefits

Employee assistance program

401(k) retirement plan

Paid time off

Job summary

HCL Technologies Limited is seeking an AWS Data Quality Engineer to join our data-ops team in a full-time capacity in the United States. The role focuses on validating data movements, enforcing schema accuracy, and building automated data quality tests using AWS services and Python.

Strong SQL and UNIX/Linux scripting are required, with experience in Airflow and Deequ highly preferred. Compensation ranges from 69,000 to 128,000 USD, with potential bonuses and comprehensive benefits.

Qualifications

• Deep proficiency in AWS data and storage services like Amazon S3, AWS Glue, Amazon Redshift, and AWS Lambda.
• Advanced proficiency in Python for building automation frameworks and orchestrating data tests.
• Experience with orchestration tools (e.g., Apache Airflow), data transformation, and data quality monitoring frameworks (e.g., Amazon Deequ).
• Strong command of SQL and UNIX/Linux scripting for querying and analyzing large-scale, distributed datasets

Responsibilities

• Develop automated scripts to validate source-to-target data movements, ensuring schema consistency, completeness, and timeliness.
• Build robust, reusable testing utilities using Python, native AWS services that integrate seamlessly into DataOps workflows.
• Set up continuous data drift monitoring, schema validation, and data quality dashboards to proactively catch pipeline failures.
• Partner with data engineers, BI teams, and software engineers to translate business rules into strict data quality KPIs and SLAs.

Job description

Full-time role only We require only US Citizen or GC Holders only. Must have skills - AWS Glue, Redshift, Lambda, S3, Python, Apache Airflow, Amazon

HCLTech is looking for a highly talented and self- motivated AWS Data Quality Engineer

Full time role) to join it in advancing the technological world through innovation and creativity. We require only US Citizen or GC Holders only.

Key Responsibilities

Primary Skills: AWS Glue, Redshift, Lambda, S3, Python, Apache Airflow, Amazon Deequ

Secondary Skills: SQL and UNIX/Linux scripting

Key Responsibilities

• Develop automated scripts to validate source-to-target data movements, ensuring schema consistency, completeness, and timeliness.
• Build robust, reusable testing utilities using Python, native AWS services that integrate seamlessly into DataOps workflows.
• Set up continuous data drift monitoring, schema validation, and data quality dashboards to proactively catch pipeline failures.
• Partner with data engineers, BI teams, and software engineers to translate business rules into strict data quality KPIs and SLAs.

Must Have:

• Deep proficiency in AWS data and storage services like Amazon S3, AWS Glue, Amazon Redshift, and AWS Lambda.
• Advanced proficiency in Python for building automation frameworks and orchestrating data tests.
• Experience with orchestration tools (e.g., Apache Airflow), data transformation, and data quality monitoring frameworks (e.g., Amazon Deequ).
• Strong command of SQL and UNIX/Linux scripting for querying and analyzing large-scale, distributed datasets

Certifications:

Candidate with AWS Certified Data Engineer – Associate - Highly preferred

Pay Range Minimum: 69000

Pay Range Maximum: 128000

HCLTech is an equal opportunity employer, committed to providing equal employment opportunities to all applicants and employees regardless of race, religion, sex, color, age, national origin, pregnancy, sexual orientation, physical disability or genetic information, military or veteran status, or any other protected classification, in accordance with federal, state, and/or local law. Should any applicant have concerns about discrimination in the hiring process, they should provide a detailed report of those concerns to [e-mail] for investigation.

A candidate’s pay within the range will depend on their skills, experience, education, and other factors permitted by law. This role may also be eligible for performance-based bonuses subject to company policies. In addition, this role is eligible for the following benefits subject to company policies:

• medical, dental, vision, pharmacy, life, accidental death & dismemberment, and disability insurance
• employee assistance program
• 401(k) retirement plan
• 10 days of paid time off per year (some positions are eligible for need-based leave with no designated number of leave days per year)
• 10 paid holidays per year

How You’ll Grow

At HCLTech, we offer continuous opportunities for you to find your spark and grow with us. We want you to be happy and satisfied with your role and to really learn what type of work sparks your brilliance the best. Throughout your time with us, we offer transparent communication with senior-level employees, learning and career development programs at every level, and opportunities to experiment in different roles or even pivot industries. We believe that you should be in control of your career with unlimited opportunities to find the role that fits you best.