✦ Luna Orbit — Data & Analytics

Temp to Permanent - Redshift Dynamo data analytics AI subject matter expert senior data engineer.

at The Consortium Inc.

📍 Remote, US Remote Posted April 01, 2026
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Position Details

Type Temp-to-Hire
Experience senior
Exp. Years 5+ years
Education Not specified
Category Data & Analytics

About this role

Senior Data Engineer focused on data analytics and AI within an AWS-based stack. Responsible for designing, building, and validating data analytics and automation features across Redshift, DynamoDB, Lambda, and BI tools.

Key Responsibilities

  • Collaborate with Agile teams to design, develop, test, and support full-stack data analytics solutions
  • Build, test, deploy, and maintain production code for complex analytics applications
  • Develop serverless ETL pipelines with Lambda for Redshift ingestion
  • Conduct unit tests and code reviews for performance and quality
  • Develop analytics reports and automation testing

Technical Overview

Technical scope includes AWS services (Redshift, DynamoDB, Lambda, S3, SNS/SQS, Step Functions, CloudFormation), Python/Node.js, SQL, and BI tools (Tableau, QuickSight, Looker). Emphasis on serverless ETL, real-time analytics, and AI-enabled data processes.

Ideal Candidate

The ideal candidate is a senior data engineer with 5+ years of data analytics experience and strong SME in AWS data services, AI capabilities, and BI tooling. They should have hands-on experience designing and delivering serverless ETL pipelines and real-time analytics across Redshift, DynamoDB, and Lambda in AWS, plus experience mentoring teams.

Must-Have Skills

SQLRedshift Serverless with AWS services (S3GlueLambdaAthenaand Kinesis)Serverless ETL pipelines with LambdaNodeJSPythonExperience in AI technologiesExperience with AWS servicesdeploying applications to AWSExposure to DevOps tools and automationCD/CI and testingTableau / Quicksight / Looker

Nice-to-Have Skills

CI/CDInfrastructure as CodeMLOpsUnity CatalogData governanceSecurity architecturesAzure / GCP

Tools & Platforms

Amazon Web ServicesAmazon DynamoDBAWS LambdaAmazon S3Amazon SNSAmazon SQSAWS Step FunctionsTableauAmazon QuickSightLookerOpenSearchPythonNode.jsJavaScriptJavaScript (ES6)SQLAmazon RedshiftRedshift ServerlessETLKinesisAWS GlueAthena

Required Skills

DatabasesAWSRedshiftDynamoDBLambdaS3SNSSQSOpenSearchTableauAmazon QuickSightLookerPythonNode.jsJavaScriptSQLETLGen AI

Hard Skills

Amazon Web ServicesCloudFormationAmazon DynamoDBAWS LambdaAmazon S3Amazon SNSAmazon SQSAWS Step FunctionsTableauAmazon QuickSightLookerOpenSearchPythonNode.jsJavaScriptJavaScript (ES6)SQLAmazon RedshiftRedshift ServerlessETLAWS GlueAthenaKinesisGen AIGenerative AI

Soft Skills

communicationcustomer service orientationanalytical thinkingcollaborationproblem-solving

Certifications

Preferred

Databricks Data Engineering Professional Certification

Industry & Role

Industry SaaS
Job Function Senior Data Engineer to design and deliver AI-enabled data analytics solutions on AWS using Redshift and DynamoDB
Role Subtype Senior Data Engineer
Tech Domains Amazon Web Services, Python, Node.js, JavaScript, SQL / PostgreSQL, Tableau, Amazon QuickSight, Amazon Redshift, OpenSearch, DynamoDB

Keywords for Your Resume

Senior Data EngineerData EngineerAWSAmazon Web ServicesCloudFormationRedshift ServerlessRedshiftDynamoDBLambdaS3SNSSQSOpenSearchTableauAmazon QuickSightLookerPythonNode.jsJavaScriptSQL

Deal Breakers

Not a candidate with 5+ years of data engineering, No experience with AWS data services (Redshift, Lambda, S3, etc.), No ability to work remotely in US time zones

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