Data Quality Engineer

We are HCLTech, one of the fastest-growing large tech companies in the world and home to 218,000 people across 60 countries, supercharging progress through industry-leading capabilities centered around Digital, Engineering and Cloud. ( )

The driving force behind that work, our people, are diverse, creative, and passionate, raising the bar for excellence on a regular basis. We, in turn, work hard to bring out the best in them as we strive to help them find their spark and become the best version of themselves that they can be. If all this sounds like an environment you’ll thrive in, then you’re in the right place.

We are looking for a highly talented and self- motivated Data Quality Engineer to join us on our journey in advancing the technological world through innovation and creativity.

Job Title: Data Quality Engineer

Job ID:

Position Type: Full-time

Location: Seattle, WA

US Citizenship or US Green card required based on client requirement.

Role/Responsibilities

Primary Skills:

AWS Glue, Redshift, Lambda, S3, Python, Apache Airflow, Amazon Deequ

Secondary Skills:

SQL and UNIX/Linux scripting

Job Description:

• 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

Qualifications & Experience

Minimum Requirements

Desired Qualifications

Pay and Benefits

Pay Range Minimum: $78,000/Annum

Pay Range Maximum: $148,000/Annum

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 for investigation.

Compensation and Benefits

A candidate’s pay within the range will depend on their work location, 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); and 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.