Manager, Data Engineering

Niche

. Lead and manage a team of 3–5 data/software engineers executing the data product roadmap .

Posted 9/23/2026full-timeRemote • United StatesMid-LevelSenior💰 $122,000 - $153,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in leading data engineering teams, managing scalable data pipelines, and ensuring data quality and platform reliability. Proficient in Python, SQL, and modern data platforms while fostering a collaborative and high-performing team culture.

Highest-signal resume keywords

Data Engineering LeadershipPython ProgrammingSQL ProficiencySnowflake ExpertiseAgile Methodologies

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data ModelingData Pipeline DevelopmentCI/CD PracticesTesting MethodologiesObservability Techniques

Soft Skills

Strong CommunicationTeam MentoringProblem-SolvingCollaborationCareer Development Coaching

Tools & Technologies

DBTAirflowKafkaSnowflakeAirbyte

Industry Keywords

Data QualityData ScalabilityData MonetizationCustomer SegmentationMarketing Attribution

Tech Stack

Tools & technologies

AirflowKafkaPythonSQLVault

About the role

Key responsibilities & impact

Lead and manage a team of 3–5 data/software engineers executing the data product roadmap
Oversee scalable, secure, and observable data pipelines and warehouse layers using Python, SQL, Snowflake, DBT, Airflow, and Kafka
Manage sprint planning, estimation, standups, and retrospectives
Collaborate with Analytics, Product, and Engineering on data requirements and business priorities
Guide monitoring, troubleshooting, and production issue resolution
Uphold testing, CI/CD, code reviews, and documentation practices
Coach team members on technical execution, communication, and career development
Remove process bottlenecks to improve velocity, quality, performance, and cost efficiency
Participate in hiring and onboarding
Review current data systems, pipelines, and platform architecture
Drive roadmap accountability, data quality, pipeline reliability, platform scalability, and team performance
Evolve team structure and operating model as business needs grow

Requirements

What you’ll need

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
Legally authorized to work in the United States without sponsorship now or in the future
Hiring limited to listed states where Niche has employees
Preferred: third-party data ingestion and processing, lead delivery pipelines, marketing attribution, customer segmentation, personalized user experiences
Preferred: data monetization/licensing or external data product delivery
Preferred: external datasets or geospatial data
Preferred: fostering a high-performing, inclusive team culture

Benefits

Comp & perks

Annual Bonus and Stock Option Program
Best-in-class 100% paid employee health plan, including vision and dental and supplemental coverage
Flexible Paid Time Off Policy
Work-from-home office stipend
Parental leave for all employees (12 weeks fully paid)
Short term disability for birthing parents
401(k) with employer match
Fully flexible workforce with remote work and Pittsburgh office options