Sign upLog in

Sr. AWS Data Engineer

Cognizant

Olympia, WA(remote)

Apply
JOB DETAILS
SALARY
$135,000–$180,000 Per Year
SKILLS
AWS Lambda, Agile Modeling, Amazon Simple Storage Service (S3), Amazon Web Services (AWS), Analysis Skills, Apache, Apache Hadoop, Apache Spark, Business Architecture, Cloud Computing, Cross-Functional, Data Analysis, Data Lake, Data Management, Data Migration, Data Modeling, Data Quality, Data Science, Data Sets, Data Warehousing, Database Extract Transform and Load (ETL), Database Replication, Electronic Medical Records, Incentive Programs, Machine Tool, Performance Tuning/Optimization, Python Programming/Scripting Language, SQL (Structured Query Language), Scripting (Scripting Languages)
LOCATION
Olympia, WA
POSTED
22 days ago
**_Please note, this role is not able to offer visa transfer or sponsorship now or in the future._** **Sr. AWS Data Engineer** **About the Role** As a Sr. AWS Data Engineer, you will make an impact by designing, building, and optimizing cloud-native data solutions that power enterprise-scale analytics and data platforms. You will be a valued member of our Data Engineering team and work collaboratively with architects, data scientists, and business stakeholders to deliver robust, scalable pipelines and infrastructure on AWS. **In This Role, You Will:** - Design and implement scalable ETL/ELT pipelines and data transformation frameworks using AWS-native services including Glue, EMR, Lambda, and Kinesis. - Architect and manage data lake and data warehouse solutions leveraging Amazon S3, Redshift, and Aurora to support large-scale analytical workloads. - Lead data migration, replication, and database modernization initiatives using AWS DMS and related tooling. - Develop and maintain workflow orchestration using Apache Airflow and perform performance tuning and optimization for large-scale datasets. - Partner with cross-functional teams in Agile delivery models to ensure data solutions align with business requirements and architectural standards. **Work Model** We strive to provide flexibility wherever possible. Based on this role's business requirements, this is a remote position open to qualified applicants in the United States. Regardless of your working arrangement, we are here to support a healthy work-life balance through our various wellbeing programs. The working arrangements for this role are accurate as of the date of posting. This may change based on the project you're engaged in, as well as business and client requirements. Rest assured; we will always be clear about role expectations. **What You Need to Have to Be Considered** - 10+ years of experience in data engineering, with strong hands-on expertise in AWS cloud-native data solutions. - Proficiency with core AWS data services: Glue, Redshift, Aurora, S3 (Data Lakes), Lambda, EMR (Spark/Hadoop), Athena, Kinesis (Streaming), and DMS. - Strong knowledge of SQL and data modeling concepts, including experience designing ETL/ELT pipelines and data transformation frameworks. - Experience with Python, PySpark, or similar scripting/programming languages for data engineering tasks. - Solid understanding of data migration, replication, database modernization strategies, and performance tuning for large-scale datasets. - Familiarity with data lake and data warehouse architectures and experience working in Agile delivery models. **These Will Help You Stand Out** - AWS certifications such as AWS Certified Data Analytics - Specialty or AWS Certified Solutions Architect. - Experience with infrastructure-as-code tools (e.g., Terraform, CloudFormation) for managing cloud data infrastructure. - Familiarity with data governance, data quality frameworks, and modern data mesh or lakehouse architectures. We're excited to meet people who share our mission and can make an impact in a variety of ways. Don't hesitate to apply, even if you only meet the minimum requirements listed. Think about your transferable experiences and unique skills that make you stand out as someone who can bring new and exciting things to this role. **Salary and Other Compensation** Applications will be accepted until June, 26.2026 The annual salary for this position is between $135,000- $180,000 USD depending on experience and other qualifications of the successful candidate. This position is also eligible for Cognizant's discretionary annual incentive program, based on performance and subject to the terms of Cognizant's applicable plans. **Benefits:** Cognizant offers the following benefits for this position, subject to applicable eligibility requirements: ? Medical/Dental/Vision/Life Insurance ? Paid holidays plus Paid Time Off ? 401(k) plan and contributions ? Long-term/Short-term Disability ? Paid Parental Leave ? Employee Stock Purchase Plan **Disclaimer:** The salary, other compensation, and benefits information is accurate as of the date of this posting. Cognizant reserves the right to modify this information at any time, subject to applicable law. Cognizant is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law.

About the Company

C

Cognizant

Cognizant is one of the world's leading professional services companies, transforming clients' business, operating and technology models for the digital era. Our unique industry-based, consultative approach helps clients envision, build and run more innovative and efficient businesses. Headquartered in the U.S., Cognizant, a member of the NASDAQ-100, is ranked 230 on the Fortune 500 and is consistently listed among the most admired companies in the world.

We're driven by a passion to help our clients build stronger, more agile and more innovative businesses.

Cognizant enables global enterprises to address a dual mandate: to make their current operations as efficient and cost-effective as possible and to invest in innovation to unleash new potential across their organizations.

What makes Cognizant unique is our ability to help clients meet both challenges. We help them enhance productivity by ensuring that vital business functions work faster, cheaper and better. And, our ability to conceptualize, architect and implement new and expanded capabilities allows clients to transform legacy models to take their business to the next level.

COMPANY SIZE
10,000 employees or more
INDUSTRY
Other/Not Classified
FOUNDED
1994
WEBSITE
https://www.cognizant.com

Resume Resources

Free Resume TemplatesFree Resume Builder