Data Engineering Manager

This range is provided by Eleven Recruiting. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

$/yr - $/yr

We are a specialized technology staffing agency supporting professional and financial services companies. Why do we stand out in technology staffing? We listen and act as advisors for our candidates on how they can best add value, find interesting projects, and pave a path for career advancement. We advocate for best pay, diversity in tech, and best job‑fit for every candidate we place.

Our client, an investment firm, is seeking an experienced Data Engineering Manager to join their team in Los Angeles, CA!

• Lead and mentor a team of data engineers and integration specialists.
• Define and implement best practices for data integration, ETL/ELT processes, and data governance.
• Collaborate with business stakeholders to understand integration requirements and translate them into technical solutions.
• Oversee the development and optimization of data pipelines using Python, Snowflake, and Azure services.
• Integrate AI and machine learning models into data workflows for predictive analytics and automation.
• Implement document processing solutions for extracting and structuring data from unstructured sources.
• Ensure data quality, security, and compliance across all integration processes.
• Utilize Git Hub and Azure Dev Ops for source control, code reviews, and deployment automation.
• Stay current with emerging technologies and recommend improvements to existing architecture.

• Bachelor’s degree in Computer Science, Information Systems, or related field (Master’s preferred).
• 7+ years of experience in data engineering or integration roles, with at least 2 years in a leadership capacity.
• Strong proficiency in Python, SQL, and scripting languages (e.g., Power Shell, Bash).
• Hands‑on experience with Snowflake, Azure functionality, and cloud‑based data solutions.
• Familiarity with Git Hub and Azure Dev Ops for CI/CD and version control.
• Experience implementing AI/ML models using frameworks such as Tensor Flow, PyTorch, or scikit‑learn.
• Experience with document processing frameworks (e.g., OCR, NLP).
• Bonus
  
  Skills:
  
  Experience with Fivetran, SQL Server, SSIS, Astronomer, Airflow, and Tableau.
• Excellent communication and leadership skills.

• Previous work experience in a financial institution environment.
• Possess strong analytical skills and ability to solve practical problems and deal with a variety of concrete variables in situations where only limited standardization may exist.
• Ability to interpret a variety of instructions furnished in written, oral, diagram, or schedule form.

• Mid‑Senior level

• Full‑time

• Engineering, Management, and Information Technology

• Investment Management

Medical insurance

401(k)

Vision insurance