Manager, Client Data Engineering

Abacus Insights

Full Time7+ yearsPosted about 1 month ago

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Overview

Position Type

Full Time

Experience

7+ years

Job Description

The Manager, Client Data Engineering is a key leader within our TechOps / Technical Implementation organization, leading a globally distributed team of approximately 10–12 data engineering professionals. This role bridges client delivery, technical execution, and people leadership, with a strong focus on successful client implementations and scalable, high-quality data engineering practices.

Your day to day

  • Lead Client Implementations: Manage end-to-end client implementations, ensuring timely, high-quality delivery aligned with client expectations.
  • Guide Data Engineering Execution: Provide technical leadership across ETL, data mapping, and integration workflows, promoting consistency and best practices.
  • Optimize Interoperability Workflows: Work with stakeholders to improve CMS Interoperability and related implementation processes.
  • Manage Global Teams: Partner with offshore and distributed teams to coordinate delivery, align priorities, and maintain operational rigor.
  • Coach and Develop Talent: Mentor engineers and new hires while building a collaborative, performance-driven team culture.
  • Own Operational Execution: Support delivery management, resource planning, and prioritization with delivery and product teams.
  • Set and Track Performance Metrics: Define team success measures, monitor progress, and drive continuous improvement.
  • Encourage Innovation: Promote practical adoption of tools, technologies, and approaches that improve scalability, quality, and efficiency.

What you bring to the team

  • Data Engineering Experience: 7+ years of experience in data engineering roles, including client‑facing implementations.
  • Education: Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science, or a related field.
  • Technical Leadership: Demonstrated experience leading and mentoring technical teams.
  • ETL & Data Integration Expertise: Strong hands‑on experience designing and supporting ETL workflows and complex data integrations.
  • Programming & Analytics Skills: Proficiency with Python and PySpark for data processing and transformation.
  • Advanced SQL: Strong ability to write, optimize, and manage complex queries across large datasets.
  • Cloud & Data Platforms: Experience working with AWS‑based architectures; familiarity with Databricks and Snowflake.
  • Version Control & Collaboration: Practical experience using GitHub or GitLab for code management and collaboration.
  • Communication & Problem‑Solving: Clear communicator with a data‑driven approach to solving complex technical and operational challenges.
  • AI Experience: Experience working with GenAI and agentic development approaches.

What we would like to see, but not required

  • Working knowledge of healthcare data environments and standards, including clinical or claims data, healthcare analytics, payer systems, or healthcare operations.
  • Familiarity with data visualization tools such as Tableau or Power BI.
  • Experience applying DevOps or CI/CD practices in data engineering environments.

What you’ll receive in return

  • Competitive Leave & Benefits
  • Comprehensive health coverage
  • Equity for every employee, giving you a share in our success
  • A growth-focused environment where your development matters

Work Arrangements

  • Standard hours: 9 hours/day, 5 days/week
  • Location: On-site
  • Work hours: 10 AM–7 PM, with some variation based on business needs.

Required Skills

PythonPysparkSql

About the Company

Abacus Insights

Kathmandu, Nepal

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