Senior Software Developer responsible for developing data pipeline solutions and scalable APIs at Autodesk. Collaborating with various teams to ensure data integrity and accessibility.
About the role
- Senior technology leader at Citi responsible for scalable enterprise applications and data platforms. Leading systems analysis, application development, and technical strategy while mentoring engineers.
Responsibilities
- Lead the design and development of scalable, high‑performance data ingestion solutions for enterprise data lakes using Apache Spark, Hadoop, and related big‑data technologies
- Architect and implement Apache Airflow clusters to orchestrate enterprise data pipelines (DAGs)
- Design and deliver BI and analytics reporting solutions, including automation of reporting and release processes
- Build and maintain data quality, data governance, and control frameworks
- Develop engineering tools and best practices to improve developer productivity, code quality, and operational readiness
- Design solutions and frameworks to enhance risk management, controls, and compliance
- Provide hands‑on technical leadership and ensure solutions align with enterprise architecture and firmwide standards
- Partner with architecture, infrastructure, and business teams to deliver integrated solutions aligned to business objectives
- Perform complex system analysis and lead problem‑solving using sound engineering judgment
- Mentor and coach mid‑level engineers; guide work allocation and technical execution
- Proactively assess and manage risk, ensuring compliance with regulatory requirements, internal policies, and ethical standards
Requirements
- Bachelor’s degree or equivalent practical experience required
- 5+ years of experience in Java or Python
- Strong understanding of Object‑Oriented and Functional Programming
- Experience developing RESTful APIs, OpenAPI / Swagger, and Java/J2EE applications
- Knowledge of big‑data ecosystems: Spark, Flink, Kafka
- Familiarity with data lakes, batch and streaming pipelines
- Understanding of data quality, governance, and controls
- Experience with microservices architecture and design patterns
- Familiarity with containers and orchestration: Docker, Kubernetes, OpenShift
- Knowledge of CI/CD and release automation
- Experience in on‑prem and hybrid cloud environments, with preferred experience in AWS, Azure, or GCP.
Job title
Job type
Experience level
Salary
Degree requirement
Tech skills
Location requirements
Report this job
Found something wrong with the page? Please let us know by submitting a report below.
Senior Software Engineer contributing to impactful digital services for Veterans Affairs. Responsible for software development, mentorship, and meeting project goals in a remote environment.
Staff Backend Engineer focusing on building and owning next - gen products at Bettermode. Work involves TypeScript, AI integration, and leadership in a collaborative team environment.
Software Engineer II at Affirm focusing on ML infrastructure for backend systems. Collaborating with teams to build and operate model training and serving systems.
Backend Software Developer at Covers, part of Legend, enhancing sports media and betting experiences. Focus on building reliable backend systems and developing high - performance products for sports fans.
Backend Software Developer creating scalable sports media and betting experiences at Covers, part of Legend's global team. Mentoring junior developers and delivering high - performance software solutions.
Dynamics 365 F&O Technical Architect utilizing expert knowledge for finance and operations processes at Long View. Working with sales and delivery leaders for solution optimization and client engagements.
Backend Software Engineer at Harvey responsible for designing infrastructure for AI - powered legal tools. Leading development of features for law firms and enterprise customers.
Data Platform Architect at Symbiotic Digital designing analytics and data solutions aligned to business strategies in Azure environments. Leading architecting efforts for enterprise - grade data platforms using Databricks.
Platform Architect designing and evolving Audi RED’s internal cloud platform and DevOps practices. Focusing on scalable, secure, and observable systems on AWS for enhanced digital experiences.