This listing doesn't post a salary. Most similar roles pay
$166,228–$216,300.
Based on 240 similar postings.
Employer
About Fidelity Financial Services
Fidelity Investments is one of the largest financial services companies in the world, offering brokerage services, mutual funds, retirement planning, wealth management, and life insurance to individuals and institutions. Industry: Financial Services & Investment Management
Fidelity Financial Services currently has
29 open roles
on FindRole.
Listed pay typically runs
$152,775–$180,000
across 8 roles with salary data.
As a Principal Data Engineer, you will join the team to build data and reporting platforms in the cloud using big data technologies like Hadoop, HBase, MongoDB, and Cassandra. You will perform coding in Java, Scala, and Python while automating CI/CD pipelines using Git and Jenkins. Your daily responsibilities include performing ETL data integration with Informatica, designing enterprise-level data architecture strategies, and developing advanced engineering frameworks for scalable, secure environments. You will collaborate with business teams to gather requirements for Data Lake ingestion and mentor junior engineers. The role requires expertise in Snowflake, Azure services, AWS, and Azure Data Factory to manage data movement across heterogeneous datastores. You will also design dimensional models using ER Studio, create visualizations in Tableau or Power BI, and manage project lifecycles within the financial services industry.
What does a Data Engineer earn?
Median $177300 from 230 postings across 57 companies.
Build data and reporting platforms using Big Data technologies like Hadoop, HBase, MongoDB, and Cassandra.
Develop and implement advanced data engineering frameworks and scalable, high-performance data environments.
Perform ETL data integration and develop data movement design patterns using Informatica or Azure Data Factory.
Automate CI/CD pipelines using Git, Jenkins, GitHub, or Azure Pipelines.
Design complex dimensional models and create conceptual, logical, and physical models for enterprise data lakes.
Translate business requirements into technical solutions by developing software applications and conducting feasibility studies.
Manage project lifecycles, including scheduling, risk assessment, and coordinating assignments across multiple platforms.
Create data visualizations using BI reporting tools like Tableau or Microsoft Power BI.
What we're looking for
Bachelor's degree in a related field and experience as a Principal Data Engineer, or a Master's degree and experience.
Experience designing, building, and maintaining data pipelines using Snowflake, Python, and Azure services for analytics within the financial services industry.
Expertise creating enterprise data lakes for AI/ML on AWS, Microsoft Azure, or Snowflake using big data processing techniques.
Proficiency in moving data between heterogeneous datastores using Informatica, Azure Data Factory, or AWS services.
Experience designing complex dimensional models and conceptual, logical, and physical models using ER Studio Data Architect.
Ability to develop data visualizations using Tableau or Microsoft Power BI.
Experience deploying code via CI/CD tools like GitHub or Azure Pipelines and managing data governance with Alation or Collibra.
Proficiency in Agile methodologies and project management tools such as JIRA, Confluence, or SharePoint.