Data Engineering Manager
BLEND360 is an acclaimed, forward-thinking Data, Digital Marketing, & AI Solutions Company, dedicated to fueling remarkable outcomes for our Fortune 500 clients. Our trajectory is one of continuous expansion, emerging at the crossroads of cutting-edge analytics, data proficiency, technology, and digital marketing excellence.
This is an hourly/contract opportunity that could become permanent over time.
We are seeking a Data Engineering Manager to lead execution delivery for a large-scale Marketing Data Layer initiative supporting a major telecommunications customer. This role will oversee a 16-person nearshore engineering organization responsible for building and scaling enterprise data ingestion and transformation capabilities within a modern AWS-based ecosystem.
The ideal candidate combines strong engineering leadership with deep delivery management experience in distributed data engineering environments. This role requires someone who can drive execution excellence, establish engineering rigor, and lead teams through modern AI-assisted development practices while maintaining high standards for quality, velocity, and operational reliability.
What You’ll Do
Own day-to-day leadership and operational management of a 16-person nearshore Data Engineering execution pod
Drive delivery accountability across engineering squads, ensuring high-quality, scalable, and reliable implementations
Manage sprint planning, execution, and delivery coordination across distributed nearshore teams
Lead daily standups and establish strong communication rhythms that effectively bridge timezone and cross-functional collaboration gaps
Conduct code reviews and enforce engineering best practices, development standards, and quality controls
Oversee onboarding, ramp-up, and ongoing enablement of nearshore contractors and engineering resources
Establish and manage AI-assisted development governance, including:
Prompt engineering patterns and usage standards
Review processes for AI-generated code
Productivity measurement and engineering adoption practices
Track and improve engineering delivery metrics, including:
Pull request cycle time
Deployment frequency
Pipeline reliability
Test coverage
Delivery throughput and quality
Partner closely with architects, product stakeholders, and client leadership to ensure successful execution against business priorities
Foster a culture of accountability, collaboration, continuous improvement, and engineering excellence
Required Skills
Strong engineering management and technical delivery leadership experience
Deep understanding of Agile delivery methodologies and sprint execution management
Experience leading distributed, nearshore, or offshore engineering teams
Strong code review and engineering governance capabilities
Hands-on background in modern data engineering and cloud data platforms
Experience managing engineering performance metrics and operational KPIs
Familiarity with AI-assisted software development workflows and governance practices
Strong communication and stakeholder management skills in client-facing environments
Technical Background
Experience with modern data engineering frameworks and cloud ecosystems
Strong understanding of ETL/ELT pipelines, orchestration, and large-scale data processing
Familiarity with technologies such as:
Python
SQL
Spark / PySpark
Cloud data platforms (AWS preferred)
CI/CD and DevOps engineering practices
Understanding of enterprise data platform delivery and operational reliability best practices
Required Experience
7+ years of experience in data engineering or related engineering disciplines
3+ years managing engineering teams of 10+ resources
Proven experience leading distributed engineering organizations in fast-paced delivery environments
Experience managing enterprise-scale data initiatives and cross-functional delivery programs
Consulting or client-facing delivery experience strongly preferred
What Makes You Successful
You lead with accountability, clarity, and operational discipline
You are highly organized and execution-focused while maintaining strong technical credibility
You know how to scale engineering teams and improve delivery performance in complex enterprise environments
You balance speed and quality while creating sustainable engineering practices
You are passionate about mentoring engineers, improving team effectiveness, and driving continuous improvement
#LI-AJ1
The starting pay range for this role is $65 - $75/hr. Actual compensation within the range will be dependent on several factors including but not limited to relevant experience, skills, certifications, training, and location. It is not typical for an individual to be hired at or near the top of the range and determining factors for compensation are considered for each individual circumstance. BLEND360 offers a competitive benefits program designed to support the health and financial well-being of our team members and their families. Benefits vary by role and eligibility and may include medical, dental, and vision coverage, a 401(k) plan, paid time off, paid holidays, commuter benefits, flexible spending accounts, life and disability insurance, and employee assistance programs.
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