Sr. Data Engineer # 26-27370

Duration: 12 months contract with extensions
Shift: Remote role
Key Responsibilities

• Design, develop, and maintain scalable ETL pipelines using AWS Glue, EMR (PySpark), and Lambda functions
• Implement real-time data streaming solutions using Confluent Kafka with source and sink connectors
• Develop and optimize PySpark jobs on EMR clusters for large-scale data transformations
• Build serverless data processing workflows using AWS Lambda
• Design and optimize queries in AWS Athena for analytical workloads
• Manage data warehouse solutions in AWS Redshift including data modeling and performance tuning
• Implement monitoring and alerting using CloudWatch for data pipeline health and performance
• Provision and manage AWS infrastructure using Terraform
• Collaborate with data analysts, data scientists, and business stakeholders to understand data requirements
• Implement data governance and security best practices using Lake Formation, IAM, and KMS

Required Technical Skills

• Python: Advanced proficiency in Python 3.8+ for data processing, scripting, and automation
• PySpark: Extensive experience with PySpark for large-scale data processing and transformations on EMR clusters
• AWS Lambda: Hands-on experience building serverless functions for data processing and orchestration
• AWS Glue: Expertise in AWS Glue for ETL jobs, Data Catalog management.
• AWS Athena: Experience with Athena for SQL-based data analysis and querying data lakes
• AWS EMR: Strong experience with EMR for running Spark jobs, EMR Notebooks, and cluster management
• AWSRedshift: Knowledge of Redshift for data warehousing, query optimization, and integration with data lakes
• Kafka: Experience with Confluent Kafka for real-time data streaming, including Schema Registry, source/sink connectors, and producers/consumers
• AWS S3: Deep understanding of S3 for data lake architecture, bucket policies, and data organization (raw, curated layers)
• CloudWatch: Proficiency in CloudWatch for logging, monitoring, and alerting on data pipelines
• Terraform: Experience with Infrastructure as Code using Terraform for provisioning AWS resources

Additional Technical Experience

• Knowledge of AWS EventBridge and Step Functions for workflow orchestration
• Familiarity with EMR runtime roles and execution roles for secure data access
• Experience with DynamoDB for NoSQL data storage
• Knowledge of API Gateway for building data APIs

Preferred Qualifications

• Bachelor's degree in Computer Science, Data Engineering, Information Technology, or related field
• Strong understanding of distributed computing and big data processing frameworks
• Experience with Agile development methodologies
• Excellent problem-solving and analytical skills
• Strong communication and collaboration abilities

Development and Data Tools

• EMR Notebooks or Jupyter for interactive development
• VS Code or similar IDE for Python development
• Git for version control
• AWS CLI and boto3 for AWS service interaction
• Terraform for infrastructure provisioning
• DBeaver, Data Studio for database management

About US Tech Solutions:
US Tech Solutions is a global staff augmentation firm providing a wide range of talent on-demand and total workforce solutions. To know more about US Tech Solutions, please visit
US Tech Solutions is an Equal Opportunity Employer.  All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.
By applying, you acknowledge that AI-assisted tools may be used during hiring.
#LI-AS140