Lead Software Engineer (Software Engineer III

Deloitte T.T.L.
United States
2 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
5 years minimum
Working hours
Regular working hours

Tech stack

Application Programming Interfaces (APIs) Artificial Intelligence Amazon Web Services Amazon S3 Batch Processing Code Review Databases Extract Transform Load (ETL) IBM DB2 Amazon DynamoDB Identity and Access Management SQL Stored Procedures
+14 more
SQL Databases Data Processing Data Ingestion State Machines HybridCloud Git Cloudformation Fastapi Build Management Amazon Relational Database Service Pyspark AWS Glue Data Management Software Version Control

Job description

Join Deloitte as a Lead Software Engineer, where you will design, build, and support Amazon Web Services (AWS) cloud and data-engineering solutions that help modernize client platforms. You will develop scalable application and data-processing capabilities, integrate data across systems, and contribute to reliable production operations. This role offers the opportunity to work across cloud migration, data engineering, and legacy-modernization initiatives in a client-focused delivery environment., As a Lead Software Engineer (Software Engineer III) on the AI & Engineering team, you will be responsible for:

  • Design and build Python applications and PySpark workloads that process, transform, and validate data in AWS environments.
  • Develop, test, and maintain extract, transform, and load (ETL) pipelines using AWS Glue and Amazon S3 to support data ingestion, reconciliation, and audit requirements.
  • Provision and maintain AWS resources through AWS CloudFormation, including configurations for storage, identity and access management, compute, analytics, messaging, and workflow services.
  • Integrate application programming interfaces (APIs), databases, and source systems into application and data-processing workflows.
  • Perform code reviews, support deployment and release activities, troubleshoot production issues, and document technical designs and operational procedures.

Requirements

  • Ability to work independently and collaborate as part of a team
  • Effective written and verbal communication skills
  • Meticulous attention to detail and quality of work product
  • Ability to build and sustain professional relationships
  • Ability to lead projects or workstreams
  • Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment
  • Strong interpersonal skills and professional demeanor
  • Ability to meet deadlines
  • Ability to provide clear guidance to others, Required:
  • Bachelor’s degree or equivalent experience
  • 7+ years’ experience developing Python applications and PySpark workloads for distributed data processing.
  • 5+ years’ experience designing, building, or maintaining ETL data pipelines using AWS Glue, Amazon S3, and Structured Query Language (SQL).
  • Experience provisioning AWS infrastructure using AWS CloudFormation.
  • Experience integrating APIs, relational databases, or NoSQL databases with application or data-processing workflows.
  • Experience working in the Financial Services/Investment Management industry.
  • Ability to travel up to 10%, on average, based on the work you do and the clients and industries/sectors you serve.
  • Limited immigration sponsorship may be available.

Preferred:

  • Experience modernizing batch-processing or mainframe workloads to AWS-based applications or data platforms.
  • Experience using Amazon Athena, AWS Step Functions, Amazon DynamoDB, Amazon Relational Database Service (Amazon RDS), or Amazon Aurora.
  • Experience using IBM Db2, stored procedures, and SQL to support application or data-processing workflows.
  • Experience using Git-based source control and continuous integration and continuous delivery (CI/CD) tooling.

About the company

AI & Engineering brings together engineering capabilities to build, deploy, and operate integrated, sector-focused solutions across software, data, artificial intelligence, networks, and hybrid cloud infrastructure. Our teams help clients modernize technology and data platforms, improve mission-critical operations, and create business value through scalable engineering solutions. We tailor our delivery approach to each client’s priorities, operating environment, and transformation goals., At Deloitte, we know that great people make a great organization. We value our people and offer employees a broad range of benefits. Learn more about what working at Deloitte can mean for you. Our people and culture

Our inclusive culture empowers our people to be who they are, contribute their unique perspectives, and make a difference individually and collectively. It enables us to leverage different ways of thinking, ideas, and perspectives, and bring more creativity and innovation to help solve our clients’ most complex challenges. This makes Deloitte one of the most rewarding places to work. Our purpose Deloitte’s purpose is to make an impact that matters for our people, clients, and communities. At Deloitte, purpose is synonymous with how we work every day. It defines who we are. Our purpose comes through in our work with clients that enables impact and value in their organizations, as well as through our own investments, commitments, and actions across areas that help drive positive outcomes for our communities. Learn more. Professional development

From entry-level employees to senior leaders, we believe there’s always room to learn. We offer opportunities to build new skills, take on leadership opportunities and connect and grow through mentorship. From on-the-job learning experiences to formal development programs, our professionals have a variety of opportunities to continue to grow throughout their career. As used in this posting, “Deloitte” means Deloitte Consulting LLP, a subsidiary of Deloitte LLP. Please see https://www.deloitte.com/us/about for a detailed description of the legal structure of Deloitte LLP and its subsidiaries.

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