Data Engineer

A pioneering technology and marketing services company creating integrated digital experiences for major brands, with 2,500+ specialists across 30+ locations.
$107,300 - $155,600
Data
Mid-Level Software Engineer
Hybrid
1,000 - 5,000 Employees
3+ years of experience
Enterprise SaaS

Description For Data Engineer

DEPT® is seeking a skilled Data Engineer to join their dynamic team, offering a salary range of $107,300 - $155,600. As a pioneering technology and marketing services company with 2,500+ digital specialists across 30+ locations, DEPT® creates integrated digital experiences for major brands like Google, KFC, Philips, and Audi.

The role requires a well-rounded Data Engineer with 3+ years of experience who can translate business goals into concrete solutions. You'll work with various technologies including Python, Java, and modern data management tools. The position demands expertise in pipeline management, DevOps tools, and database systems, with cloud experience being a plus.

The Data & Engineering team at DEPT® focuses on architecting and developing enterprise systems, building data platforms, data warehouses, and implementing reporting platforms. Working in small teams, you'll have direct input into client business decisions and own the projects you work on.

DEPT® offers a collaborative, open-door environment with comprehensive benefits including healthcare, dental, vision, 401k with matching, PTO, and parental leave. The company is B Corp-certified and committed to purpose-driven work, fostering an inclusive workplace where diversity is celebrated.

This hybrid role requires you to be located within 50 miles of Los Angeles, CA. Join DEPT® to be part of a company that values innovation, personal growth, and making meaningful contributions to world-class digital solutions.

Last updated 39 minutes ago

Responsibilities For Data Engineer

  • Translate business goals into concrete solutions
  • Participate in technical design of systems, schemas, and pipelines
  • Manage and prioritize multiple tasks
  • Communicate project status effectively
  • Work with peers to implement best practices
  • Realign client expectations when challenges arise
  • Research and implement technical solutions independently

Requirements For Data Engineer

Python
Java
Kubernetes
PostgreSQL
MySQL
  • 3+ years of experience in core programming fundamentals
  • Experience with scripting languages (Python, Ruby)
  • Experience with compiled languages (Java, Scala, C++)
  • 3+ years of experience in Data Management Tools
  • Experience with pipeline management tools (Airflow or Luigi)
  • Experience with DevOps tools (Terraform, Kubernetes, Docker)
  • Experience with Database Management Systems
  • 3+ years of discovery and assessment of client's portfolio
  • 2+ years of professional software and consulting experience
  • Experience working in cloud environments (AWS or GCP) is a plus
  • Experience with Unix-based OSes a plus

Benefits For Data Engineer

Medical Insurance
Dental Insurance
Vision Insurance
401k
Parental Leave
  • Healthcare coverage
  • Dental coverage
  • Vision coverage
  • 401k plan with matching
  • PTO
  • Paid Company Holidays
  • Parental Leave

Interested in this job?

Jobs Related To DEPT® Data Engineer

Data Engineer

Mid-level Data Engineer position at DEPT®, offering remote work near NYC, competitive salary, and opportunity to work on enterprise data solutions for major brands.

Data Engineer

Remote Data Engineer position at DEPT®, offering $98-142k, requiring 3+ years experience in data engineering, pipeline management, and programming fundamentals.

Data Engineer

Mid-level Data Engineer position at DEPT®, building enterprise data solutions with 3+ years experience required, hybrid work in Boston, competitive benefits.

Data Engineer

Mid-level Data Engineer position at DEPT®, offering $107-155k, hybrid work in Chicago, building enterprise data solutions with Python, Java, and cloud technologies.

Data Engineer

Mid-level Data Engineer position at DEPT®, offering remote work near NYC, competitive salary, and opportunity to work on enterprise data solutions for major brands.