Staff Data Engineer - REMOTE

CyberCoders

$120K — $150K *
Information Technology
8 - 10 years of experience
Job Overview by Ladders

Qualifications

  • 8+ years of experience in data engineering.
  • Strong expertise in Snowflake for data warehousing.
  • Solid background in modern data architecture.
  • Excellent communication skills for explaining technical issues.
  • Proficient in Python and BI tools.
  • Degree in Computer Science or equivalent experience.
  • Proven experience in leading scalable data system designs.

Responsibilities

  • Design and oversee data pipelines, warehouses, and lakes for analytics.
  • Translate business needs into technical data solutions with stakeholders.
  • Establish and maintain data governance and quality assurance practices.
  • Manage the performance and cost-efficiency of data infrastructure.
  • Evaluate new data technologies for relevance to existing systems.

Benefits

  • Unlimited PTO for work-life balance.
  • Affordable healthcare, dental, and vision plans.
  • 401k plan with company match.
  • Flexible work hours to suit personal schedules.
  • Fully remote work opportunity for US residents.
  • Paid parental leave for new parents.
  • Remote work stipend to support home office setup.
Full Job Description
Location: 100% remote - West Coast candidates in PT strongly preferred

Skills: 8+ yrs Data Engineering, Data Warehousing with Snowflake, BI tools, Python

Introduction
We're seeking a seasoned Staff Data Engineer to lead the development and optimization of our data infrastructure. This role is ideal for someone passionate about building scalable systems and driving data excellence across an organization. You'll play a pivotal role in shaping how data is collected, stored, and utilized to support strategic decision-making and operational efficiency.

Top Reasons to Work With Us

Be part of a mission-driven organization focused on improving outcomes for communities through innovative technology.
Collaborate with cross-functional teams in a dynamic environment that values experimentation and continuous learning.
Influence data strategy at an organizational level, working directly with executive leadership.
Work with a modern tech stack and have the autonomy to evaluate and implement cutting-edge tools.

What You Will Be Doing
  • Designing and overseeing robust data pipelines, warehouses, and lakes to support scalable analytics and reporting.
  • Translating business needs into technical solutions through close collaboration with stakeholders across departments.
  • Establishing and maintaining data governance frameworks, quality assurance protocols, and engineering best practices such as CI/CD and documentation.
  • Managing the performance, reliability, and cost-efficiency of the data infrastructure.
  • Staying current with emerging technologies in data engineering and assessing their relevance to our ecosystem.

What You Need for the Position
  • A degree in Computer Science or a related field, or equivalent hands-on experience.
  • 8+ years of experience in data engineering
  • Expertise in modern data architecture and warehousing, particularly with Snowflake.
  • Demonstrated success in leading the design and deployment of complex, scalable data systems.
  • Strong communication with the ability to explain technical concepts to non-technical audiences.
  • Python
  • Experience with BI tools

Nice to have
  • Deep knowledge of relational and NoSQL databases, data modeling, and SQL and proficiency with tools and technologies such as Azure Fabric/Data Factory, DBT, Fivetran, Postgres/Azure SQL, Airflow
  • Experience in the healthcare or human services domain is a strong plus.

Benefits

- Unlimited PTO

- Low cost healthcare/dental/vision

- 401k with match

- Flexible hours

- Work fully remote (MUST live in the US)

- Paid parental leave

- Remote work stipend

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