Lead Data Engineer
Lead Data Engineer
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Job Description
Lead Data Engineer
Lets 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 diversityequityand 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.
Learn more at .
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 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.
Requirements
- 8 years of experience in data engineering with expertise in Azure 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
- 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
Prospective candidates may be asked to consent to background checks (in accordance with local legislation and our candidate privacy notice ) Your current employer will not be contacted without your permission.
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 employees 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 $140000 to $150000.
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.
An offer of employment may be conditional upon successful completion of a background check in accordance with local legislation and our candidate privacy notice. Your current employer will not be contacted without your permission.
You can apply for this role through the Circana careers website or Intranet site for internal candidates. The anticipated application deadline for this position is July 31 2025.
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Employment Type
Full-Time
