Fidelity Investments

Senior Data Engineer

Fidelity Investments

full-time

Posted on:

Location Type: Hybrid

Location: Durham • New Hampshire • North Carolina • United States

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Job Level

Senior

Tech Stack

AWSCloudEC2JenkinsOraclePostgresPythonRDBMSSQL

About the role

  • Design and build scalable data solutions, including data processing pipelines, migrations, and complex data modeling
  • Identify new development opportunities within a scalable public Cloud environment to enhance organizational capability
  • Collaborate with product owners and business partners to translate high-level requirements into actionable technical tasks
  • Analyze and manipulate datasets to ensure rigorous data integrity, accessibility, and security throughout the entire lifecycle
  • Serve as a technical mentor and thought leader, providing guidance and innovative solutions to the broader team
  • Integrate automated testing and continuous validation into the sprint cycle to ensure production reliability
  • Develop end-to-end solutions using distributed platform design patterns and modern analytics technologies
  • Support and enhance production systems, focusing on high performance, speed, and overall system reliability

Requirements

  • Bachelor’s or Master’s degree in computer science, Engineering, or a related technical field
  • 7+ years of relevant work experience in data engineering or architecture
  • Strong SQL skills and knowledge of multiple RDBMS, specifically Snowflake (including SnowSQL), Postgres, SQL Server, and Oracle
  • Proven experience building data pipelines using Python, with NiFi and dbt knowledge being a significant advantage
  • Experience in building Power BI Reports that transform data into aesthetically appealing visuals
  • Hands-on knowledge of AWS infrastructure, including S3, EC2, RDS, EKS, Batch, and CloudFormation
  • Deep understanding of data modeling principles, specifically 3NF and Star Schema models
  • Experience with CI/CD workflows using Jenkins and GitHub for automated deployment
  • Familiarity with workload scheduling and orchestration tools like Control-M
  • Proven data analysis skills to ensure data quality such as accuracy, consistency, and completeness and to identify gaps and anomalies
  • Ability to work independently in an Agile environment (Scrum and Kanban) brings technical stories to completion
  • Excellent communication and presentation skills
Benefits
  • Hybrid work environment requiring onsite presence every other week (all business days)
  • Opportunity to work with a diverse and inclusive team
  • Professional development opportunities
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools
data processing pipelinesdata modelingSQLSnowflakePythonPower BIAWSdata analysisCI/CDAgile
Soft Skills
collaborationmentorshipcommunicationpresentationindependenceproblem-solvinginnovationleadershiporganizationaltechnical storytelling
Certifications
Bachelor’s degreeMaster’s degree