Data Engineering Manager: Build Scalable Pipelines (Remote)

Niche; Phoenix (AZ); Remote; USD 122,000 - 153,000; Full time

Benefits offered by this job

Health benefits (vision & dental)

Work-from-home stipend

Flexible PTO

Parental leave

401(k) with employer match

Job summary

Niche is seeking a Manager, Data Engineering to lead a team of data engineers in building and scaling a modern data platform. You’ll drive the data product roadmap, mentor engineers, and foster a culture of best practices.

You’ll report to the Head of Data Engineering. You will oversee data pipelines and warehouse layers using Python, SQL, Snowflake, DBT, Airflow, and Kafka, ensuring secure, observable systems for analytics and operations.

Qualifications

• 6+ years of experience in data engineering, with 1–2 years of team leadership experience.
• Proven experience in managing and mentoring data engineers.
• Deep knowledge of modern data platforms (Snowflake, DBT, Airflow, Airbyte, RudderStack, Kafka, etc.)
• Strong skills in Python, SQL, and data modeling (3NF, dimensional, data vault)
• Experience delivering robust, observable, secure, and scalable data pipelines.
• Familiarity with Agile product delivery and cross-functional collaboration
• Strong communication skills and a bias for clarity and action

Responsibilities

• Lead and manage a team of 3-5 data/software engineers to execute on the data product roadmap.
• Oversee the design, development, and maintenance of scalable, secure, and observable data pipelines and warehouse layers using Python, SQL, Snowflake, DBT, Airflow, and Kafka to support content delivery, analytics, reporting, and operational systems.
• Drive a strong execution culture by managing sprint planning, work estimation, standups, and retrospectives.
• Collaborate closely with cross-functional partners in Analytics, Product, and Engineering to understand data requirements and deliver solutions aligned with business priorities.
• Ensure operational excellence by guiding the team on monitoring, troubleshooting, and resolving production issues.
• Implement and uphold engineering best practices including testing, CI/CD, code reviews, and documentation.
• Coach and mentor team members on technical execution, communication, and career development.
• Identify and remove process bottlenecks to improve development velocity, delivery quality, system performance, and overall cost efficiency across the data platform.
• Participate in hiring efforts and help onboard new team members.

Skills

Data engineering

Team leadership

Python

SQL

Data modeling

Snowflake

DBT

Airflow

Kafka

Agile

Cross-functional collaboration

Tools

Snowflake

DBT

Airflow

Airbyte

RudderStack

Kafka

Job description

Niche is seeking a Manager, Data Engineering to lead a team of data engineers in building and scaling a modern data platform. You’ll drive the data product roadmap, mentor engineers, and foster a culture of best practices.

You’ll report to the Head of Data Engineering. You will oversee data pipelines and warehouse layers using Python, SQL, Snowflake, DBT, Airflow, and Kafka, ensuring secure, observable systems for analytics and operations.