We are open to considering candidates who either reside in the DMV (DC, Maryland, Virginia) area, are within a reasonable commuting distance to Tysons Corner and Alexandria, VA and/or are willing to relocate at their own expense. Candidates who reside in the DMV area will be prioritized.
This position requires being onsite at our Tysons or Alexandria office 3 days a week.
Working at Transurban is different; it's a place where you can see the benefits of your work play out in real life, every day. We create transportation solutions-building and operating safer, smarter, and more sustainable roads-to solve pressing transport challenges.
About the role:
We’re seeking a Senior Data Engineer to build and maintain scalable, secure, and high-performance data infrastructure that underpins the organization’s analytics, modelling, and machine learning initiatives.
You’ll join an innovative team, who supports operational insight generation, drives adoption of machine learning models, and enables advanced analytical capabilities.
As our Senior Data Engineer, you’ll contribute to lasting and positive changes that shape the future of our cities and communities. It’s meaningful, challenging and exciting work.
Day-to-day, you will:
- Design, build, and maintain ETL/ELT (Extract, Transform, Load / Extract, Load, Transform) workflows to ingest, clean, and transform data from diverse sources.
- Develop and optimize data infrastructure to support cloud and on-premises environments (i.e. AWS, Snowflake) for analytics and machine learning.
- Automate and streamline workflows using Python and SQL to improve data processes, pipeline performance, and scalabilty.
- Monitor systems, troubleshoot issues, and apply validation checks to maintain data integrity.
- Prepare well-structured datasets for dashboards, forecasting, and operational insights.
- Collaborate with analytics, Information Technology, and other internal business teams to deliver reliable data solutions.
- Extract and prepare data for internal and external reporting, including performance and compliance.
- Stay current on emerging tools and support initiatives that drive business improvement through data.
This role will suit someone with a curious mind and transferable skills and experiences, including:
- 5+ years of experience in data engineering, including ETL/ELT pipeline development, data cleaning, and scalable architecture design.
- Strong proficiency in SQL, Python, relational databases and cloud platforms (e.g., AWS, Azure, or Google Cloud), with experience in distributed data processing.
- Hands-on experience with data warehousing, modeling, and dashboard/report development using tools like Tableau or Power BI.
- Familiarity with AI/ML (Artificial Intelligence / Machine Learning) workflows, including preparing data for model training and integrating models into production.
- Understanding of data APIs (Application Programming Interface) and backend/frontend data integration workflow.
- Proven ability to collaborate across teams and apply strong analytical and problem-solving skills to deliver innovative, scalable data solutions in complex environments.
If you meet some of these requirements, but not all, we encourage you to submit your application.
With a career at Transurban, you'll enjoy a range of benefits, including:
- A competitive salary and comprehensive benefits package including medical, dental, life, STD and LTD insurance and retirement plan.
- A range of flexible working and leave options, including the option to purchase an additional six weeks of leave each year.
- 16 weeks paid parental leave (regardless of gender or carer status).
- Learning and development opportunities to support your career interests.
- Health and wellbeing support-access to Headspace, Ginger, wellness facilities, and more.
- Social activities, community give-back programs and paid volunteer days.
At Transurban, we are committed to equal employment opportunity and providing a work environment that is free from discriminatory practices. We will not discriminate against employees or applicants for employment on any legally recognized basis [“protected class”] including, but not limited to: race, religion, color, national origin, ancestry, citizenship or immigration status, sex, age, sexual orientation, gender identity or expression, disability, genetic information, marital status, pregnancy, childbirth or related medical conditions, veteran or military status (including status as a U.S. uniformed services member or reservist, or as a spouse, child, or qualifying dependent of a service member), or any other category protected by federal, state, or local law.
