Overview
On Site
160k - 220k
Full Time
Skills
Energy
Brokerage
Recruiting
Decision-making
Customer Facing
Product Engineering
Data Modeling
Python
SQL
NoSQL
PostgreSQL
Apache Spark
Collaboration
Leadership
Data Architecture
Data Engineering
IaaS
Optimization
Data Quality
Privacy
Management
Cloud Computing
Extract
Transform
Load
Mentorship
Machine Learning Operations (ML Ops)
Life Insurance
SAP BASIS
Job Details
The fastest-growing energy brokerage firm is hiring a full-time Senior Data Engineer to join their rapidly expanding team. In this role, you'll be responsible for maintaining robust data infrastructure and systems that power the organization's decision-making.
This position blends architecture, development, deployment, and client-facing work, where you will design, build, and maintain scalable data pipelines while implementing comprehensive data quality controls, governance standards, and privacy frameworks. You will also build and maintain MLOps infrastructure to support model development, deployment, and monitoring. This role is ideal for someone who enjoys working at the intersection of product, engineering, and business.
Required Skills & Experience
Desired Skills & Experience
Tech Breakdown
The Offer
Applicants must be authorized to work in the US on a full-time basis now and in the future.
#LT-1
This position blends architecture, development, deployment, and client-facing work, where you will design, build, and maintain scalable data pipelines while implementing comprehensive data quality controls, governance standards, and privacy frameworks. You will also build and maintain MLOps infrastructure to support model development, deployment, and monitoring. This role is ideal for someone who enjoys working at the intersection of product, engineering, and business.
Required Skills & Experience
- 7+ years of experience in data engineering
- Experience with cloud services such as containerization, IaaS, observability systems, and multi-environment architecture
- Strong knowledge of data architecture principles, data modeling, ETL processes, privacy frameworks, governance standards, and quality controls
- Proficiency in Python, SQL, NoSQL, PostgreSQL, Airbyte, Airflow, dbt, and Spark
Desired Skills & Experience
- Experience working directly with stakeholder
- Experience mentoring team members on engineering best practices
- Proven collaboration and leadership skills
Tech Breakdown
- 35% Data Architecture & Governance
- 30% Data Engineering & Modern Data Stack
- 25% Cloud Infrastructure
- 10% Integration & System Optimization
- Implement and monitor data quality controls, governance standards, and privacy frameworks to ensure reliable, compliant datasets
- Manage and optimize cloud environments, containers, and observability tools to support efficient, secure data operations
- Design, build, and maintain scalable data pipeline
- Mentor junior engineers and promote data best practices
- Develop and maintain MLOps systems
The Offer
- Competitive salary + bonus
- Health, Dental, Vision, and Life Insurance
- Employer 401(k) contribution up to 5% of salary
- PTO + all major holidays off
- Wednesday catered lunches + gym membership at onsite fitness facilities
- 4-day hybrid schedule in the River North office + 20 work-from-home days per year
Applicants must be authorized to work in the US on a full-time basis now and in the future.
#LT-1
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.