Data & Automation Engineer

Location: New York

Data & Automation Engineer page is loaded## Data & Automation Engineer locations:
New York, New York, United States of America time type:
Full time posted on:
Posted Todayjob requisition :
862794
** About Clear Bridge Investments
** Clear Bridge Investments is an active equity manager offering a broad range of strategies across global developed and emerging markets, local markets, and real assets. The firm manages more than $200 billion as of September 30, 2025.Clear Bridge manages diversified, high-conviction portfolios through collaborative fundamental research to meet the needs of some of the world’s largest asset owners and financial intermediary platforms.

We invest as long-term, risk-aware business owners and seek to deliver consistency of process and performance for our clients through market cycles. A focus on durability drives everything we do; from the business models of the companies we own, to the holding periods of our portfolios, to the stability and longevity of our investment professionals.

As Franklin Templeton’s largest equity specialist, Clear Bridge operates with investment autonomy from headquarters in New York and offices in Baltimore, Calgary, Edinburgh, Fort Lauderdale, Leeds, London, Melbourne, and Sydney. Clear Bridge Investments has been named by Pensions & Investments Magazine (P&I) as one of the Best Places to Work in Money Management for the thirteenth year in a row. These awards reflect the Firm's diverse and inclusive culture, spirit of collaboration, work/life balance and our ongoing investment in our employees.
*
* Job Summary:

** Clear Bridge Investments is seeking a highly skilled and motivated Data Engineer who also possesses robust data analysis capabilities to design, build, and maintain our data infrastructure and transform raw data into actionable insights. This hybrid role involves ensuring data reliability and accessibility while also performing deep-dive analysis to support data-driven decision-making across the organization.
** Key Responsibilities and Duties Include, but not Limited to:**
* ** Data Pipeline Development:
** Design, implement, and optimize scalable ETL/ELT pipelines to ingest, process, and transform large volumes of structured and unstructured data from diverse sources.
* ** Data Modeling and Architecture:
** Design and maintain data models, schemas, and database structures (relational, No

SQL, data lakes, data warehouses) to support analytical and operational use cases.
* ** Data Analysis & Insight Generation:
** Analyze large datasets to identify patterns, trends, and correlations, translating complex technical findings into clear, non-technical business recommendations for stakeholders.
* ** Collaboration and Stakeholder Support:
** Partner closely with QA engineers, analysts, product managers, and executive teams to understand data requirements and assist with data-related technical issues.
* ** Data Quality and Governance:
** Implement quality checks, validation rules, monitoring, and alerting systems to ensure data accuracy, consistency, and integrity across all data assets.
* ** Performance Optimization:
** Troubleshoot and optimize data storage and retrieval processes and SQL queries for maximum performance and cost efficiency.
* ** Documentation and Best Practices:
** Document data pipelines, schemas, and business logic, and advocate for best practices in data engineering and data governance.
** Qualifications and Experience
*** 3-5+ years in data engineering or related roles, with proven data analysis experience.
* Bachelor's degree in technical fields such as Computer Science, Engineering, Mathematics, or Statistics.
* Experience working within the Asset Management industry preferred.
* Relevant professional certifications.
** Technical Skills**
* ** Programming

Languages:

** Proficiency in SQL and at least one language like Python, Java, or Scala.
* ** Data Technologies:
** Experience with cloud platforms (AWS, Azure, Snowflake) and data processing frameworks such as Five Tran, DBT, and Alteryx.
* ** Analytical

Skills:

** Strong analytical and problem-solving abilities to interpret data and communicate insights effectively.
* ** Tools:
** Familiarity with data visualization and reporting tools (e.g., SSRS, Tableau, Power BI) and workflow orchestration tools (e.g., Airflow, Auto Sys).
* Knowledge of data governance tools and practices.
** Soft Skills
*** Excellent communication and collaboration skills, particularly in team-oriented environments.
* Strong analytical & troubleshooting skills
** TOTAL REWARDS
** Our employees have access to a competitive and valuable set of Total Rewards.  Our Total Rewards include:
* Health, wellness and risk benefits to protect employees and their families
* Retirement savings, stock purchase and other incentive programs to help employees plan for the future
* Holiday, paid-time-off and other employee programs that support work-life balance
* Support for pursuing certifications, external education and degree programs
* Learning, development and career…