AWS Data Engineer

Remote

About The Role

As an AWS Data Engineer, you will make an impact by designing and delivering modern, scalable, and cost-efficient cloud-based data platforms that enable organizations to unlock the full value of their data. You will serve as a key technical leader, translating complex business requirements into enterprise-grade AWS solutions while driving engineering excellence across data modernization initiatives. You will be a valued member of the Data & Analytics team and work collaboratively with solution architects, engineering teams, client stakeholders, product owners, and delivery leadership.

Responsibilities

• Define and lead the architecture of enterprise data platforms, including data ingestion, storage, processing, integration, and analytics solutions.
• Design, develop, and oversee scalable data transformation frameworks using Python, PySpark, Apache Airflow, and AWS-native services.
• Lead large-scale cloud migration and modernization initiatives, leveraging AWS DMS and schema conversion tools to transition legacy environments to cloud-native architectures.
• Drive performance, scalability, reliability, and cost optimization across AWS data ecosystems, including Redshift, Athena, EMR, and related services.
• Partner with client architects, business stakeholders, and cross-functional teams to guide technical strategy, conduct architecture and code reviews, and ensure successful project delivery in complex enterprise environments.

Requirements

• Extensive experience architecting and implementing enterprise-scale data platforms on AWS.
• Advanced proficiency in SQL, data modeling, Python, and PySpark for developing production-grade data pipelines and analytics solutions.
• Hands-on experience designing, implementing, and managing complex workflows using Apache Airflow.
• Prominent success delivering large-scale database modernization and cloud migration programs.
• Strong understanding of data lake, data warehouse, and modern data architecture patterns.
• Experience leading technical teams in Agile delivery environments and mentoring engineers.
• Excellent stakeholder management and communication skills, with the ability to engage client architects and senior technical leaders.
• Experience optimizing performance and cost efficiency across large AWS data environments.
• Expertise with Spark and Hadoop ecosystems on Amazon EMR.
• Experience working within multi-vendor technology delivery environments.
• Knowledge of enterprise governance, data quality, security, and compliance best practices.
• AWS Certifications such as AWS Certified Solutions Architect, AWS Certified Data Engineer, or related credentials.
• Proven ability to influence technical strategy from solution design through production deployment.

Note: This role is not able to offer visa transfer or sponsorship now or in the future.

Qualifications

• Deep expertise with AWS services including Glue, Redshift, Aurora, EMR, S3, Athena, Kinesis, Lambda, and related data technologies.
• Proven success in leading technical teams and mentoring engineers.
• Strong communication and stakeholder management skills.
• Experience with data lake, data warehouse, and modern data architecture patterns.
• Experience with Spark and Hadoop ecosystems on Amazon EMR.
• Experience with multi-vendor technology delivery environments.
• Knowledge of enterprise governance, data quality, security, and compliance best practices.
• Proven ability to influence technical strategy from solution design through production deployment.

Skills

• Experience with AWS services including Glue, Redshift, Aurora, EMR, S3, Athena, Kinesis, Lambda, and related data technologies.
• Advanced proficiency in SQL, data modeling, Python, and PySpark for developing production-grade data pipelines and analytics solutions.
• Hands-on experience designing, implementing, and managing complex workflows using Apache Airflow.
• Experience with data lake, data warehouse, and modern data architecture patterns.
• Expertise with Spark and Hadoop ecosystems on Amazon EMR.
• Experience with multi-vendor technology delivery environments.
• Knowledge of enterprise governance, data quality, security, and compliance best practices.
• Proven ability to influence technical strategy from solution design through production deployment.

Benefits

• Cognizant 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

Pay

The annual salary for this position is between $105,000 - $120,000 depending on experience and other qualifications of the successful candidate.

Schedule

This position is remote.