Senior Data Engineer at MM International, LLC Senior Data Engineer at MM International, LLC in Wheat Ridge, Colorado Posted in 15 days ago.

Type:

full-time

Senior Data Engineer Location:

Denver, CO -

Onsite Employment Type:

Full-Time Compensation:

$110,000-$120,000 per year Job Summary We are seeking an experienced Senior Data Engineer to design, develop, and maintain scalable data platforms and pipelines on AWS . The ideal candidate will have strong hands-on experience with AWS data services, Apache Spark/PySpark, AWS Glue, SQL, Postgre

SQL, ETL/ELT

development, and data modeling . This role will work closely with architects, business analysts, and application teams to build reliable, high-performance data solutions that support analytics, reporting, and downstream applications. Key Responsibilities Design, develop, and maintain scalable data platforms and pipelines on AWS . Build and implement batch and near real-time data processing solutions using AWS Glue and Apache Spark/PySpark. Develop, optimize, and maintain data models for analytics, reporting, and downstream applications. Design and implement robust ETL/ELT pipelines integrating data from multiple source systems. Develop and optimize database solutions using PostgreSQL . Utilize AWS services including Amazon S3, AWS Glue, AWS Lambda, IAM, CloudWatch, and Amazon Redshift . Collaborate with solution architects, business analysts, and application development teams to understand and define data requirements. Perform data quality validation, reconciliation, troubleshooting, and performance tuning . Support data modernization and migration initiatives, including migration from Microsoft SQL Server to AWS/cloud-native data platforms . Implement data engineering best practices related to security, governance, reliability, scalability, and operational support . Troubleshoot pipeline, data, and performance issues and implement sustainable solutions. Required Technical Skills Strong experience with AWS Data Services Hands-on experience with AWS Glue Strong knowledge of Apache Spark / PySpark Advanced SQL skills Experience with PostgreSQL Strong understanding of data modeling Experience developing and maintaining ETL/ELT pipelines Experience with Microsoft SQL Server Experience working with Amazon S3, Lambda, IAM, CloudWatch, and Redshift Understanding of data quality, reconciliation, governance, and security practices Preferred Qualifications Experience working on large-scale cloud data platforms Experience with legacy-to-cloud data migration projects Strong analytical and problem-solving skills Ability to work effectively with technical and business stakeholders Excellent communication and collaboration skills Equal Employment Opportunity We are an Equal Employment Opportunity (EEO) employer . We are committed to providing equal employment opportunities to all qualified applicants and employees without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, genetic information, veteran status, or any other characteristic protected by applicable federal, state, or local law.