Data & Automation Engineer

Posted Yesterday
New York, NY, USA
In-Office
125K-165K Annually
Mid level
Financial Services
The Role
Design, build, and maintain scalable ETL/ELT pipelines and data architectures; model and optimize data storage; perform deep-dive analyses to generate business insights; ensure data quality, governance, monitoring, and documentation; collaborate with QA, analysts, product managers, and executives to support data-driven decisions.
Summary Generated by Built In

About ClearBridge Investments

ClearBridge 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.

ClearBridge 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, ClearBridge operates with investment autonomy from headquarters in New York and offices in Baltimore, Calgary, Edinburgh, Fort Lauderdale, Leeds, London, Melbourne, and Sydney. ClearBridge 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:

ClearBridge 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, NoSQL, 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 FiveTran, 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, AutoSys).
  • 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 advancement opportunities
  • Ways to get involved in, and give back to, our communities, including paid time off for volunteering and charitable donation matching
  • The salary range for this position is targeted for $125,000 to $165,000 plus discretionary bonus. Base pay offered may vary depending on job related knowledge, skills, and experience

ClearBridge is an Equal Opportunity Employer. We are committed to equal employment opportunity for all applicants and existing employees and we evaluate qualified applicants without regard to ancestry, age, color, disability, genetic information, gender, gender identity, or gender expression, marital status, medical condition, military or veteran status, national origin, race, religion, sex, sexual orientation, and any other basis protected by federal, state, or local law, ordinance, or regulation.

If you believe that you need an accommodation or adjustment to search for, or apply for, one of our positions please send an email to [email protected] . In your email, please include the accommodation or adjustment you are requesting and the job title and job number you are applying for. It may take up to three business days to receive a response to your request. Please note that only requests for accommodations will receive a response.

Skills Required

  • 3-5+ years in data engineering or related roles, with proven data analysis experience.
  • Bachelor's degree in Computer Science, Engineering, Mathematics, or Statistics.
  • Experience working within the Asset Management industry.
  • Proficiency in SQL and at least one language: Python, Java, or Scala.
  • Experience with cloud platforms (AWS, Azure, Snowflake) and data processing frameworks such as FiveTran, dbt, and Alteryx.
  • Experience designing and building scalable ETL/ELT pipelines and data models (relational, NoSQL, data lakes, data warehouses).
  • Familiarity with data visualization and reporting tools (SSRS, Tableau, Power BI) and workflow orchestration tools (Airflow, AutoSys).
  • Knowledge of data governance, quality checks, validation, monitoring, and alerting systems.
  • Excellent communication, collaboration, analytical, and troubleshooting skills.
  • Relevant professional certifications.
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The Company
350 Employees
Year Founded: 1947

What We Do

At ClearBridge, our people drive our success. We foster an environment of personal development and strive every day to harness our diverse talents and expertise to create a successful experience for our clients. This commitment to enduring excellence extends beyond investment performance, informing all aspects of our relationships both inside and outside the firm. We have over 350 employees worldwide. Get to know the ClearBridge Investments team, including our Leadership, Portfolio Managers, Research Analysts and Traders, or reach out to our Relationship Management and Client Service teams.

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