Remote Senior Data Engineer

Remote in Remote, MA, US • Posted 30+ days ago • Updated 11 hours ago
Full Time
On-site
$140000 - $165000/yr
Fitment

Dice Job Match Score™

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Job Details

Skills

  • Media
  • Data Engineering
  • Recruiting
  • FOCUS
  • Decision-making
  • Advertising
  • Computer Hardware
  • Retail
  • Partnership
  • Analytics
  • Technical Direction
  • SQL
  • Data Modeling
  • Stored Procedures
  • Query Optimization
  • Data Warehouse
  • Python
  • Java
  • Scala
  • Amazon S3
  • Amazon Kinesis
  • Amazon SQS
  • Agile
  • Data Flow
  • Dashboard
  • Business Intelligence
  • SaaS
  • Salesforce.com
  • MongoDB
  • Amazon DynamoDB
  • NoSQL
  • Database
  • Continuous Integration
  • Continuous Delivery
  • Workflow
  • Automated Testing
  • Snow Flake Schema
  • ELT
  • Extract
  • Transform
  • Load
  • Modeling
  • Optimization
  • Cloud Computing
  • Amazon Web Services
  • Performance Tuning
  • Data Quality
  • Reporting
  • Visualization
  • Mentorship
  • Code Review
  • Collaboration
  • Health Insurance
  • SAP BASIS

Summary

Job Description

A growing media and advertising technology organization is expanding its Data Engineering team and hiring a full-time Senior Data Engineer. This role will focus on building and maintaining the data pipelines and infrastructure that power analytics, reporting, and business decision-making across advertising, hardware, and retail partnerships.

This is an opportunity for someone who wants to have meaningful ownership over a modern cloud data platform. You'll work cross-functionally with engineering, architecture, IT, product, and analytics teams to deliver reliable, scalable, and high-quality data solutions. Beyond hands-on development, you'll influence technical direction, mentor peers, and help shape best practices as the organization continues to mature its data capabilities.

This is a remote position with EST/CST preference.

Required Skills & Experience
  • 5+ years of experience designing and maintaining ELT/ETL systems
  • Strong proficiency in advanced SQL, data modeling, stored procedures, and query optimization
  • Hands-on experience with modern data warehouses such as Snowflake or BigQuery
  • Strong programming experience in Python (experience with Java or Scala is a plus)
  • Experience building and maintaining scalable, secure data pipelines
  • Experience working in AWS environments (S3, Lambda, Kinesis, SQS, or similar services)
  • Ability to identify and resolve data quality and performance issues
  • Experience collaborating in Agile development environments

Desired Skills & Experience
  • Experience creating datasets, dataflows, and dashboards in Domo or similar BI tools
  • Experience integrating third-party SaaS APIs such as Salesforce
  • Familiarity with MongoDB, DynamoDB, or similar NoSQL databases
  • Experience with infrastructure-as-code and cloud-native data services
  • Experience contributing to CI/CD workflows and automated testing
  • AWS or Snowflake certifications

What You Will Be Doing

Tech Breakdown
40% Data Pipeline Development (ELT/ETL, Modeling, Optimization)
25% Cloud & Infrastructure (AWS Services, IaC, Performance Tuning)
20% Data Quality, Monitoring & Reliability
15% Reporting, Visualization & Business Support

Daily Responsibilities
65% Hands On Development
15% Mentorship & Code Review
20% Cross-Functional Collaboration

The Offer
  • Competitive base salary + bonus eligibility

You will receive the following benefits:
  • Medical Insurance
  • Dental Benefits
  • Vision Benefits
  • Paid Time Off (PTO)
  • 401(k) (including match, if applicable)

Applicants must be currently authorized to work in the US on a full-time basis now and in the future.
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: 10105282
  • Position Id: 868210
  • Posted 30+ days ago
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