Overview
On Site
$DOE
Contract - W2
Contract - Long Term
Skills
aws
Database
Postgresql
Data Pipelines
Jenkins
Data Warehousing
Data Modeling
Data Architecture
GitLAB
Data Governance
Node.JS
Lambda
Job Details
Job Title: Sr. Data Engineer AWS Lambda & PostgreSQL
Location: Hempstead NY or Basking Ridge NJ or Columbus OH or Dallas TX
Duration: 12 months
Role Overview:
We are seeking a skilled Sr Data Engineer to design and implement scalable data pipelines using AWS Lambda that push structured and semi-structured data into a PostgreSQL data store. The role also requires experience in data modeling, Looker dashboard development, and strong SQL/database expertise to support reporting and analytics needs across the organization.
Key Responsibilities:
- Design, develop, and deploy serverless data ingestion pipelines using AWS Lambda
- Write and optimize Lambda functions to clean, transform, and push data into PostgreSQL
- Develop and maintain scalable, efficient data models supporting analytical workloads
- Create LookML models and build dashboards in Looker to enable self-service analytics
- Maintain database integrity, indexing, and performance optimization
- Collaborate with product, engineering, and analytics teams to understand data needs
- Build robust error-handling, logging, and retry mechanisms for data pipelines
- Ensure data governance, quality, and security best practices are followed
Required Skills:
Overall 10+ years of experience
- 3 5 years of experience in Data Engineering or Backend Engineering roles
- Strong experience with AWS Lambda and serverless data architecture
- Proficient in Python or Node.js for writing Lambda functions
- Solid experience with PostgreSQL schema design, optimization, and advanced SQL
- Proven expertise in data modeling for analytics and reporting
- Hands-on experience with Looker (LookML, dashboards, data exploration)
- Familiarity with AWS services like S3, CloudWatch, API Gateway, and IAM
- Excellent debugging, problem-solving, and communication skills
Good to Have:
- Experience integrating third-party APIs or webhooks into Lambda functions
- Familiarity with data warehousing concepts (e.g., Snowflake, Redshift, or BigQuery)
- Exposure to CI/CD for data pipelines using tools like GitLab or Jenkins
- Understanding of modern data stack tools (Fivetran, dbt, Airflow, etc.)
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.