Fidelity Software Engineer Jobs in Dallas, TX (NOW HIRING)

Note: Fidelity will not provide immigration sponsorship for this position.

Position Description:

Designs, develops, and maintains highly available, scalable, and distributed data platforms and applications using Snowflake, Oracle, SnapLogic, Unix shell scripting, Python, Control M, AWS services, and open source frameworks. Designs and implements business solutions that support the processing of high volume, high velocity, and diverse structured and unstructured data. Supports multiple critical use cases that enable business analytics. Monitors end-to-end data operations, including data ingestion, data cleansing, and timely data processing. Drives data warehouse modernization initiatives and supports DevOps functions within the Enterprise Data Lake (EDL) environment to enhance reliability, scalability, and operational efficiency. Uses business knowledge to translate the vision for divisional initiatives into business solutions by developing complex or multiple software applications and conducting studies of alternatives. Analyzes and recommends changes in project development policies, procedures, standards, and strategies to development experts and management.

Primary Responsibilities:

• Develops and maintains tools and platforms that support the overall data ecosystem.
• Participates in architecture design teams.
• Defines and implements application-level architecture.
• Develops applications on complex projects, components, and subsystems for the division.
• Recommends development testing tools and methodologies and reviews and validates test plans.
• Responsible for QA readiness of software deliverables.
• Develops comprehensive documentation for multiple applications or subsystems.
• Establishes full project life cycle plans for complex projects across multiple platforms.
• Responsible for meeting project goals on time and on-budget.
• Advises on risk assessment and risk management strategies for projects.
• Plans and coordinates project schedules and assignments for multiple projects.
• Acts as a primary liaison for business units to resolve various project/technology issues.
• Provides technology solutions to daily issues and technical evaluation estimates on technology initiatives.
• Advises senior management on technical strategy.
• Mentors junior team members.
• Performs independent and complex technical and functional analysis for multiple projects supporting several divisional initiatives.
• Develops original and creative technical solutions to on-going development efforts.

Education and Experience:

Bachelor's degree in Computer Science, Engineering, Information Technology, Information Systems, or a closely related field (or foreign education equivalent) and five (5) years of experience as a Principal Software Engineer/Developer (or closely related occupation) designing and developing cloud-native data pipelines, data processing workflows, and analytics solutions using AWS services within big data and distributed data engineering environments for financial and health care domains.

Or, alternatively, Master's degree in Computer Science, Engineering, Information Technology, Information Systems, or a closely related field (or foreign education equivalent) and three (3) years of experience as a Principal Software Engineer/Developer (or closely related occupation) designing and developing cloud-native data pipelines, data processing workflows, and analytics solutions using AWS services within big data and distributed data engineering environments for financial and health care domains.

Skills and Knowledge:

Candidate must also possess:

• Demonstrated Expertise ("DE") designing and implementing enterprise data warehousing and analytics solutions using Oracle, Snowflake, and Amazon RDS; performing data modeling, OLTP/OLAP design, and writing complex SQL queries to support cloud-based analytical workloads; developing and maintaining end-to-end ETL pipelines using Informatica and SnapLogic; executing data extraction, transformation, and loading workflows using Python scripting; and orchestrating batch processes and enterprise schedules using Control M and Cron jobs.
• DE designing, developing, and deploying cloud native data engineering and analytics solutions on AWS using Amazon S3, Amazon EMR, AWS Lambda, Amazon SQS (queues), and Amazon SNS (pub/sub), including AWS IAM for access control, AWS KMS for encryption, and Amazon RDS for PostgreSQL as the relational store-native data engineering and analytics solutions on AWS using Amazon S3, Amazon EMR.
• DE performing performance tuning and cost optimization for large-scale data processing workflows; implementing automated testing and code coverage strategies using industry standard tools including Jenkins, GitHub, PyTest, Unittest, Great Expectations, Coverage.py, and SonarQube to ensure quality and reliability within enterprise data engineering environments - coverage strategies using industry standard tools.

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Fidelity's Onsite Working Model
Fidelity is transitioning to a full-time onsite working model through a phased rollout across regions and roles. Currently, some roles and locations require 100% onsite presence, while others require less. Onsite expectations are likely to evolve as the rollout continues. This transition does not apply to fully remote roles.

Please be advised that Fidelity's business is governed by the provisions of the Securities Exchange Act of 1934, the Investment Advisers Act of 1940, the Investment Company Act of 1940, ERISA, numerous state laws governing securities, investment and retirement-related financial activities and the rules and regulations of numerous self-regulatory organizations, including FINRA, among others. Those laws and regulations may restrict Fidelity from hiring and/or associating with individuals with certain Criminal Histories.