Tech Lead - Data Engineer

Employer:

Position:

Work Days:

Years of Experience

Community Location

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CONNECT

Company Overview

McKinley Rice is not just a company; it's a dynamic community, the next evolutionary step in professional

development. Spiritually, we're a hub where individuals and companies converge to unleash their full

potential. Organizationally, we are a conglomerate composed of various entities, each contributing to the

larger narrative of global excellence.

Redrob by McKinley Rice: Redefining Prospecting in the Modern Sales Era

Backed by a $40 million Series A funding from leading Korean & US VCs, Redrob is building the next

frontier in global outbound sales. We’re not just another database—we’re a platform designed to

eliminate the chaos of traditional prospecting. In a world where sales leaders chase meetings and deals

through outdated CRMs, fragmented tools, and costly lead-gen platforms, Redrob provides a unified

solution that brings everything under one roof.

Inspired by the breakthroughs of Salesforce, LinkedIn, and HubSpot, we’re creating a future where

anyone, not just enterprise giants, can access real-time, high-quality data on 700 M+

decision-makers, all in just a few clicks.

At Redrob, we believe the way businesses find and engage prospects is broken. Sales teams deserve

better than recycled data, clunky workflows, and opaque credit-based systems. That’s why we’ve built a

seamless engine for:

● Precision prospecting

● Intent-based targeting

● Data enrichment from 16+ premium sources

● AI-driven workflows to book more meetings, faster

We’re not just streamlining outbound—we’re making it smarter, scalable, and accessible. Whether you’re

an ambitious startup or a scaled SaaS company, Redrob is your growth copilot for unlocking warm

conversations with the right people, globally.

How to become a part of our community:

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About the role:

We are looking for a Tech Lead with 6+ years of experience in building scalable data-driven and

cloud-native systems. The ideal candidate has to be hands-on with data pipelines, search, APIs, and

modern AI/agentic frameworks, while bringing strong leadership skills to a fast-paced startup environment.

You’ll collaborate with experienced engineers and designers, learn global best practices, and build features

that directly impact users across the world.

EXPERIENCE

Duties you'll be entrusted with:

❖ Lead the design and development of data pipelines handling millions of records with high

scalability and reliability.

❖ Architect and implement solutions using Elasticsearch, Python, and modern DB design.

❖ Drive API design and development ensuring robust and scalable integrations.

❖ Build and optimize batch/streaming workflows using Spark, Glue, or similar systems.

❖ Apply agentic frameworks (CrewAI, LangGraph, etc.), MCP to design intelligent and automated

workflows.

❖ Oversee technical and solution architecture for data and AI systems.

❖ Champion DevOps practices (CI/CD, infra-as-code, observability, scalability, cost optimization).

❖ Mentor engineers, enforce coding best practices, and foster engineering excellence.

❖ Collaborate across teams to translate product requirements into technical execution in a

startup-paced environment.

Expectations from you:

Basic Requirements

❖ Bachelor's degree in Computer Science, Engineering, or a related field

❖ Excellent communication skills and proven ability to bridge cross-cultural teams

❖ Deep understanding of software development practices and product-engineering collaboration

❖ Good problem-solving skills and attention to detail

❖ Strong communication skills and ability to collaborate across teams

Technical Skills Required:

❖ 6+ years of backend/data engineering experience with increasing leadership responsibilities.

❖ Strong expertise in Python, Elasticsearch, cloud-native application development

(AWS/GCP/Azure).

❖ Hands-on experience with ETL/ELT pipelines, distributed systems, Spark/Glue.

❖ Proven track record in technical architecture and solution design at scale.

❖ Solid understanding of DevOps processes, automation, CI/CD, and monitoring.

❖ Strong foundation in API design (REST/GraphQL) and system integration.

❖ Strong Database fundamentals with RDBMS and NoSQL

❖ Excellent communication, problem-solving, and leadership skills.

❖ Experience thriving in fast-paced startup environments.

❖ Working knowledge of agentic/AI frameworks (CrewAI, LangGraph, LangChain, etc.), MCP

Additional Requirements:

❖ Working knowledge of agentic/AI frameworks (CrewAI, LangGraph, LangChain, etc.), MCP

❖ Prior experience with NodeJS or NodeJS framework like NestJS