Senior Director, Software EngineeringWhat 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 ResponsibilitiesData 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 PySpark
- Implement 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 BehaviorsAs 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
The below range reflects the range of possible compensation for this role at the time of this posting. We may ultimately pay more or less than the posted range. This range may be modified in the future. An employee's position within the salary range will be based on several factors including, but not limited to, relevant education, qualifications, certifications, experience, skills, seniority, geographic location, performance, shift, travel requirements, sales or revenue-based metrics, any collective bargaining agreements, and business or organizational needs. The salary range for this role is $145,000 to $190,000.
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.
You can apply for this role through the Circana careers website or Intranet site for internal candidates. This role is subject to AI-assisted screening. Circana uses artificial intelligence (AI) to assess resumes for alignment with job requirements by helping locate details in resumes that relate to the job description.
This position is expected to remain open for approximately 30 days and may close earlier if sufficient qualified candidates are identified.
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