Senior Director, Software Engineering
circanaChicago, IL
$120,000 - $165,000 per year
APPLY (opens in a new tab)Senior Director, Software Engineering
circanaChicago, ILLead L6
APPLY NOW (opens in a new tab)$120,000 - $165,000 per year
Data Engineer Opportunity Let's be unstoppable together! At Circana, we are fueled by our passion for continuous learning and growth, we seek and share feedback freely, and we celebrate victories both big and small in an environment that is flexible and accommodating to our work and personal lives. We have a global commitment to diversity, equity, and inclusion as we believe in the undeniable strength that diversity brings to our business, employees, clients, and communities. With us, you can always bring your full self to work. Join our inclusive, committed team to be a challenger, own outcomes, and stay curious together. Circana is proud to be Certified by Great Place To Work. This prestigious award is based entirely on what current employees say about their experience working at Circana. What will you be doing? We are seeking a skilled and motivated Data Engineer to join our growing team. In this role, you will be responsible for designing, building, and maintaining robust data pipelines and infrastructure on the Azure cloud platform. You will leverage your expertise in PySpark, Apache Spark, and Apache Airflow to process and orchestrate large-scale data workloads, ensuring data quality, efficiency, and scalability. If you have a passion for data engineering and a desire to make a significant impact, we encourage you to apply!
Job Responsibilities:
- Data Engineering & Data Pipeline Development
- Design, develop, and optimize scalable data workflows using Python, PySpark, and Airflow
- Implement real-time and batch data processing using Spark
- Enforce best practices for data quality, governance, and security throughout the data lifecycle
Ensure data availability, reliability, and performance through monitoring and automation.
Cloud Data Engineering
Manage cloud infrastructure and cost optimization for data processing workloads
Implement CI/CD pipelines for data workflows to ensure smooth and reliable deployments.
Big Data & Analytics:
- Build and optimize large-scale data processing pipelines using Apache Spark and PySparkImplement data partitioning, caching, and performance tuning for Spark-based workloads.
- Work with diverse data formats (structured and unstructured) to support advanced analytics and machine learning initiatives.
- Workflow Orchestration (Airflow)
- Design and maintain DAGs (Directed Acyclic Graphs) in Airflow to automate complex data workflows
- Monitor, troubleshoot, and optimize job execution and dependencies
- Team Leadership & Collaboration
- Lead a team of data engineers, providing technical guidance and mentorship
- Foster a collaborative environment and promote best practices for coding standards, version control, and documentation.
- Engage directly with clients to understand business needs, communicate technical concepts clearly.
- Collaborate with peers across engineering, product, architects to drive scalable and maintainable product
- Partner with the Program Management team to align delivery timelines, mitigate risks
Requirements:
- 8+ years of experience in data engineering with expertise in Python, PySpark, Spark, and Airflow.
- Strong programming skills in Python, SQL with the ability to write efficient and maintainable code
- Deep understanding of Spark internals (RDDs, DataFrames, DAG execution, partitioning, etc.)Experience with Airflow DAGs, scheduling, and dependency management
- Knowledge of Git, Docker, Kubernetes, Terraform, and apply best practices of DevOps for CI/CD workflows
- Excellent problem-solving skills and ability to optimize large-scale data processing.
- Experience in leading teams and working in Agile/Scrum environments
- Experience with common data warehouse and/or data lake platform
- Knowledge of cloud technologies (Azure/AWS/Google)
- Proven experience using generative AI tools to accelerate software development, data engineering, system design, testing, and troubleshooting.
- Strong understanding of AI-assisted engineering practices, including prompt engineering, code generation, automated testing, and AI-driven productivity workflows.
- Ability to identify opportunities to apply AI solutions that improve team productivity, code quality, and operational efficiency.
- Experience of ML Engineering is a plus
- Strong communication and collaboration skills, with the ability to effectively work with remote teams
- Circana Behaviors
- As well as the technical skills, experience and attributes that are required for the role, our shared behaviors sit at the core of our organization. Therefore, we always look for people who can continuously champion these behaviors throughout the business within their day-to-day role:
- Stay Curious: Being hungry to learn and grow, always asking the big questions.
- Seek Clarity: Embracing complexity to create clarity and inspire action.
- Own the Outcome: Being accountable for decisions and taking ownership of our choices.
- Center on the Client: Relentlessly adding value for our customers.
- Be a Challenger: Never complacent, always striving for continuous improvement.
- Champion Inclusivity: Fostering trust in relationships engaging with empathy, respect, and integrity.
- Commit to each other: Contributing to making Circana a great place to work for everyone.
Location:
- This position can be located in the following area(s): Remote or Hybrid to Chicago
- Salary RangeThe salary range for this role is $120,000 to $165,000.This job is also eligible for bonus pay.
- We offer a comprehensive package of benefits including [paid time off, medical/dental/vision insurance and 401(k)] to eligible employees.
Matching similar jobs
Level
Lead L6
Salary
$120,000 - $165,000 per year
Location
Chicago, IL
Occupation
Data Warehousing Specialists
Industry
Computer Systems Design Services
Posted
yesterday