Skip to main content
Tallo logoTallo logo

Find Jobs

Find Jobs Near You – Available Work in Your Location

Skip to job details

Back to Results

Apply for this opportunity

To apply for this job, you'll continue to an external website or email application.

Intuitive Insights LLC

Data & Cloud Engineer

Review key factors to help you decide if the role fits your goals.
Pay Growth
?
out of 5
Not enough data
Not enough info to score pay or growth
Job Security
?
out of 5
Not enough data
Calculating job security score...
Total Score
85
out of 100
Average of individual scores

Were these scores useful?

Job Description

Duration:
7 Months Contract-to-Hire (RTH)
Openings:
2
Experience:
12+
Employment Type:
Contract-to-Hire Job Description We are seeking an experienced Data & Cloud Services Engineer with 10+ years of hands-on cloud data engineering experience, specializing in AWS data lake technologies, Snowflake, Python, Terraform, and CI/CD. The ideal candidate will have experience building, maintaining, and deploying scalable cloud-based data solutions, along with familiarity with AI tools and agentic workflows. Required Skills 4-6 years of hands-on Cloud Data Engineering experience. Strong experience with AWS Glue, S3, Lambda, Step Functions, and Lake Formation . Hands-on experience with Snowflake, Python, Terraform, and CI/CD pipelines . Familiarity with AI tools and workflows, including GitHub Copilot, Claude, and Agentic AI workflows . Experience with AWS data lake architecture, data integration, and data processing. Knowledge of testing, release management, and deployment automation. Key Responsibilities Design, develop, and maintain scalable AWS cloud data engineering solutions. Build and manage data pipelines using AWS Glue, Lambda, Step Functions, and S3. Implement data movement and integration using Python APIs, AWS CLI, and Boto3. Support data analytics solutions using Athena, Redshift, EMR, and related AWS services. Develop and maintain infrastructure as code using Terraform. Implement and support CI/CD pipelines for AWS deployments. Monitor application performance, troubleshoot issues, and analyze logs using CloudWatch and Splunk. Collaborate with teams to improve data quality, automation, and cloud data platform reliability. Leverage AI-assisted development tools and agentic workflows to improve engineering productivity. Preferred Skills Salesforce (SF) and Databricks. Apache Spark and Java/Scala. Control-M or other job scheduling tools. Bitbucket/Git, Jenkins, and ServiceNow. Snowflake Horizon Catalog and Databricks Unity Catalog. Interview Process One Zoom interview. A coding assessment may be required. Candidates should be prepared to share their screen.