Manager, Data Engineering
New
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NicheEducation Technology
We are currently hiring in states where we currently have employees: AZ, CO, CT, DE, FL, GA, IL, IN, KY, LA, ME, MD, MA, MI, MO, NE, NV, NH, NJ, NY, NC, OH, OK, OR, PA, SC, TN, TX, VA, WA, DC, WV.Full-TimeManager
SalaryOur national target base salary range is $122,000-$153,000, plus participation in our Annual Bonus and Stock Option Program.
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Job Details
- Experience
- 6+ years of experience in data engineering, with 1–2 years of team leadership experience
- Required Skills
- PythonSQLAgileKafkaSnowflakeAirflowData engineeringData modelingdbt
Requirements
- 6+ years of experience in data engineering
- 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
- 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 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 and system performance
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