Senior Data Engineer

Remote • Posted 5 hours ago • Updated 32 minutes ago
Contract W2
Contract Independent
Remote
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Fitment

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Job Details

Skills

  • Governance
  • Snowflake
  • Communication Skills
  • Stakeholder Management
  • Tools for Reporting
  • Amazon Web Services
  • Artificial Intelligence
  • Automation
  • Node.Js
  • Python (Programming Language)
  • SQL Databases
  • Business Intelligence
  • Testing Skills
  • Data Validation
  • Agile Methodology
  • Databricks
  • Information Engineering
  • Workflows
  • Amazon S3
  • Cloud Platform System
  • Cloud Services
  • Data Governance
  • Data Quality
  • Data Analysis
  • Automatically Programmed Tool
  • Root Cause Analysis
  • Analytical Procedures
  • Data Integrity
  • Operational Excellence
  • Writing Documentation
  • Google Cloud
  • Data Modelling
  • Data Pipelines
  • Freeform SQL
  • Research Skills
  • Tableau (Software)
  • Big Data
  • Database Queries
  • Standard Sql
  • Amazon DynamoDB
  • Amazon Redshift
  • Amazon Simple Queue Service (SQS)
  • Apache Spark
  • Automation of Buildings
  • AWS Lambda
  • Bank Reconciliation
  • Cloudformation
  • Code Review
  • Generative AI
  • Notification Systems
  • Operational Databases

Summary

We have an exciting opportunity for a Senior Data Engineer on a long-term contract basis. Please review the details below and let me know if you're interested.

Position: Senior Data Engineer
Location: Remote (Must be available during EST business hours)
Duration: Long-Term Contract
Start Date: July 7, 2026
Interview Process: Video Interview (Manager Round + Team Round)

Position Overview

We are seeking an experienced Senior Data Engineer with strong expertise in data analysis, data quality engineering, reporting, and large-scale data processing. The ideal candidate will have extensive experience working with complex SQL queries, Python development, cloud-based data platforms, and BI reporting tools.

This role involves building data quality frameworks, monitoring data pipelines, analyzing large datasets, investigating data issues, and supporting critical reporting and analytics initiatives.

Required Skills & Experience
  • 10+ years of experience in Data Engineering, Data Quality, Analytics Engineering, or related fields
  • Expert-level SQL skills with experience writing complex queries for large datasets
  • Strong Python programming experience
  • Experience with AWS services including:
    • S3
    • Lambda
    • SNS/SQS
    • CloudFormation
    • DynamoDB
    • Step Functions
    • Glue
    • Athena
  • Strong experience with Amazon Redshift
  • Experience with BI and reporting tools:
    • Tableau
    • QuickSight
  • Experience with Big Data technologies such as Apache Spark
  • Exposure to AI-assisted development tools and Generative AI technologies
  • Strong understanding of data modeling, lineage, transformations, monitoring, and data quality frameworks
  • Experience troubleshooting production data issues and performing root cause analysis
  • Excellent communication and stakeholder management skills
Key Responsibilities
  • Design and implement automated data quality checks and validation frameworks
  • Build monitoring, alerting, and observability solutions for data pipelines
  • Investigate and resolve data anomalies and production issues
  • Develop reconciliation processes across source systems and reporting platforms
  • Create reusable tools and frameworks for data validation and testing
  • Collaborate with engineers, analysts, and business stakeholders to ensure data integrity
  • Support governance, documentation, and operational excellence initiatives
  • Participate in Agile ceremonies, code reviews, and team planning activities
Preferred Experience
  • Experience with Snowflake, Databricks, or similar cloud data platforms
  • Exposure to AI tools such as Amazon Q, Tableau AI, Google Cloud AI, or similar technologies
  • Experience building automation solutions for data engineering workflows
Technical Skills

Must Have:

  • Python
  • Redshift / SQL
  • AWS Cloud Services
  • AWS Lambda
  • AWS S3
  • AWS SNS/SQS
  • AWS CloudFormation
  • AWS DynamoDB
  • AWS Step Functions
  • BI Tools (Tableau / QuickSight)
  • Node.js Development
  • Generative AI
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.
  • Dice Id: 91170383
  • Position Id: 2026-289
  • Posted 5 hours ago

Company Info

About Technotopia Solutions LLC

We are well-versed in providing a variety of services including staffing, analytics, software development, consulting, auditing, and much more. We work to solve just about any technological problem that a business would encounter. We use this expertise to help customers with their projects.

Do you spend a lot of time and money on maintaining your current technological infrastruture? Many companies find that constant maintenance eats into their budget and takes away important time. By outsourcing your problems to us, you can focus on what you do best--running your business.

The world of technology can be fast-paced and scary. That's why our goal is to provide an experience that is tailored to your company's needs. No matter the budget, we pride ourselves on providing professional customer service. We guarantee you will be satisfied with our work.

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