Data Engineer

Franklin Templeton

Confirmed live today Low trust
Hybrid

Quick summary

Work type
Hybrid
Location
Baltimore, MDStamford, CT
Salary
$128,100–$166,200 / yr
Posted
1 day ago
Freshness
Confirmed live today

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $165k
This role $147k
$118k $213k
below market most similar roles pay here above market

This role pays less than 61% of similar roles. Most pay $126,800–$203,175 — the blue band above. At the midpoint, this role pays about $147k versus about $165k for comparable roles.

Based on 240 similar postings.

Employer

About Franklin Templeton

Franklin Templeton is a global investment management organization offering a wide range of mutual funds, ETFs, and alternative investment solutions to retail and institutional investors worldwide. Industry: Investment Management & Asset Management

Franklin Templeton currently has 17 open roles on FindRole.

Listed pay typically runs $140,000–$174,500 across 17 roles with salary data.

Most-posted roles

View all roles at Franklin Templeton

At a glance

TL;DR · Data Engineer

The Data Engineer joins the Client Data Services team within Enterprise Data Analytics to build and optimize scalable data platforms across transaction systems and cloud-based lakehouse architectures. This role involves designing governed, high-performance data ecosystems that support analytics and AI-driven use cases. You will develop data products with defined SLAs, manage large-scale data processing, and translate business requirements into reliable solutions. Key technologies include SQL, PL/SQL, Python, Spark, and AWS, alongside tools like Informatica, Control-M, Airflow, and Git. You will also utilize CI/CD pipelines and BusinessObjects for reporting. The work focuses on providing trusted client datasets to power sales strategy and distribution intelligence, ensuring data quality through validation, monitoring, and governance controls within a complex financial services domain.

What does a Data Engineer earn?

Median $160000 from 191 postings across 60 companies.

See salary data

What you'll do

  • Build and own data products with defined SLAs, quality metrics, and consumer-facing interfaces like APIs.
  • Develop and optimize data processing pipelines for large-scale datasets using SQL, PL/SQL, and Python.
  • Translate business requirements from stakeholders into scalable, high-performance data solutions and reports.
  • Ensure data quality by embedding validation, monitoring, and governance controls into the data ecosystem.
  • Implement automated testing, validation, and CI/CD pipelines to ensure reliable deployment of data services.
  • Define and enforce data and API contracts to maintain consistency and backward compatibility across systems.
  • Apply an AI-first mindset to automate repetitive workflows and optimize coding, testing, and debugging.
  • Troubleshoot system issues and drive root cause resolution to improve overall platform reliability.

What we're looking for

  • Bachelor’s degree in Computer Science, Engineering, or a related field.
  • 6+ years of experience designing and building enterprise data pipelines and platforms.
  • Strong proficiency in SQL, PL/SQL, and data modeling for large datasets.
  • Programming skills in Python and/or Spark for data processing.
  • Experience with cloud platforms (AWS), relational/distributed databases (e.g., Oracle), and data pipeline tools like Informatica.
  • Experience with orchestration tools (Control-M or Airflow), version control (Git), and CI/CD pipelines.
  • Experience designing and delivering business-facing reports and dashboards using BusinessObjects or similar BI tools.
  • Experience with modern lakehouse architectures (Iceberg, Delta Lake) (preferred).

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