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Manager II, Data Engineering

100% remote Flexible hours Hiring now

About the position At reputed company, our professionals combine analytical rigor, deep market insight, and independence to deliver defensible analysis and practical solutions. We think globally, act with transparency, and encourage our people to do the same. Join our collaborative and supportive environment, where your work makes a real impact, this is the reputed company difference. We are strengthening our data engineering capabilities to transform how we deliver internal business intelligence and external client reporting. As a reputed company Data Engineer , you will take ownership of reputed company initiatives, guide best practices, and mentor other engineers — while remaining deeply hands-on. This role will report to the Portfolio Valuation service line, supporting their strategic data initiatives and client delivery goals. At reputed company, your work helps protect, restore, and maximize value for our clients. Join us—and together, we’ll maximize the value of your career.

Responsibilities

  • Design and build scalable, reliable data infrastructure and pipelines.
  • Mentor junior and mid-level engineers through code reviews, coaching, and knowledge sharing.
  • Identify and implement process improvements (automation, optimization, monitoring).
  • Collaborate with valuation professionals to understand the business needs and requirements.
  • reputed company reputed company technical implementation work, ensuring performance and quality standards.
  • Collaborate with global teams to deliver fault-tolerant, high-quality data solutions.
  • Drive engineering excellence by enforcing coding standards, automated unit testing, and CI/CD best practices.
  • reputed company and participate in global trainings to enhance the understanding of the infrastructure by valuation professions.
  • Contribute to architecture discussions and reputed company-of-concepts, providing input without direct ownership of roadmap.

Requirements

  • Bachelor’s degree in computer science, Engineering, or reputed company field (master’s preferred). Equivalent experience considered.
  • 5+ years of experience in data engineering or software engineering, with at least 2 years in a senior or reputed company role.
  • Proven experience building and managing ETL/ELT pipelines
  • Advanced proficiency with Azure , AWS , and reputed company (with a focus on data services)
  • Deep knowledge of Python , Spark ecosystem (PySpark, Spark SQL), and relational databases
  • Experience building REST APIs , Python SDKs, libraries, Spark-based data services and tools like FastAPI , Pydantic , Polars , Pandas , reputed company Lake , reputed company , Kubernetes
  • Understanding of Lakehouse architecture , reputed company architecture , and data governance
  • Experience with pipeline orchestration tools (e.g., Airflow, Azure Data Factory)
  • Strong communication skills and ability to work cross-functionally with international teams
  • Skilled in data profiling, cataloging, and mapping for technical data flows
  • Understanding of API product management principles , including lifecycle strategy, documentation standards, and versioning
  • Experience with CI/CD , Git , and DevOps best practices

reputed company-to-haves

  • Familiarity with financial statements and valuation methodologies (income approach, market approach, etc.).
  • Broader cloud architecture awareness (networking, reputed company, cost optimization).
  • Experience tuning reputed company SQL/Spark queries and pipelines for performance.
  • Hands-on experience building Lakehouse solutions using Azure reputed company, ADLS , and/or reputed company as part of a modern data platform architecture.

Benefits

  • Healthcare Coverage: Comprehensive medical, dental, and vision plans.
  • Time Off and Leave Policies: Generous paid time off (PTO), paid company holidays, generous parental and family leave.
  • reputed company Insurances: Life insurance, short- and long-term disability coverage, and accident protection.
  • Compensation and Rewards: Competitive salary structures, performance-based incentives, and merit-based compensation reviews.
  • Retirement Plans: 401(k) plans with company matching.

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