Senior Data Engineer
Cary HQ, NC, United States
Senior Data Engineer – Hybrid | Cary, North Carolina
Nice to meet you!
We’re the leader in analytics. Through our software and services, we inspire customers around the world to transform data into intelligence – and questions into answers.
We’re also a debt-free multi-billion-dollar organization on our path to IPO-readiness. If you’re looking for a dynamic, fulfilling career coupled with flexibility and world-class employee experience, you’ll find it here.
About the job
The Customer Intelligence R&D team is looking for a Senior Data Engineer to work on our newest Marketing AI offering. Marketing AI empowers marketing teams with purpose-built machine learning pipelines or tailored 'recipes' that transform their data into actionable models for a wide range of marketing use cases. Marketing AI is a full SaaS, value stream aligned team orchestrating work in multiple development layers from UI to mid-service layer down to cloud database and event processing. Working on new software is an opportunity to try new things, experiment and grow, and quickly incorporate customer feedback incrementally through rapid deployment.
As a Senior Software Developer, you will:
- Design and implement robust, scalable, and high-performance data pipelines using distributed processing technologies.
- Develop and maintain ETL workflows to ingest, transform, and serve data from diverse data sources.
- Collaborate with data scientists, analysts, and other engineers to build base tables and enable efficient data access.
- Optimize data processing jobs for performance, reliability, and cost efficiency.
- Ensure data quality, integrity, and security throughout the data lifecycle.
- Participate in architectural design discussions and contribute to technical strategy.
- Lead code reviews and mentor junior developers in best practices for software and data engineering.
- Work with cloud platforms (e.g., AWS, GCP, Azure) to build and deploy big data solutions.
Required Qualifications
- 8+ years of experience developing enterprise-level solutions
- Bachelor’s degree in computer science or a related field
- Equivalent combination of related education, training and experience may be considered in place of the above qualifications.
- Demonstrable experience with Python programming language
- Experience with big data tools and ecosystems: Apache Spark, Hive, HDFS, Airflow, etc.
- Solid understanding of distributed computing principles and data architecture patterns (e.g., data lake, data mesh, etc.).
- Strong problem-solving skills and ability to work in a fast-paced, agile environment.
- You’re curious, passionate, authentic and accountable. These are our values and influence everything we do.
Preferred Qualifications
- Experience with Java programming language
- Experience with stream processing frameworks (e.g., Apache Flink, Kafka Streams).
- Experience working with container platforms and technologies such as Docker or Kubernetes and cloud deployments
- Experience with Amazon Web Services, or similar cloud offerings
- Usage of Git, GitHub, GitLab, and/or Jenkins.
World-class benefits
Highlights include...
- Comprehensive medical, prescription, dental and vision plans.
- Medical plan options include…
- PPO with low annual deductible and copays.
- HDHP combined with a health savings account with a contribution from SAS (no access to on-site health care center).
- Onsite Health Care Center (HQ) that’s free to employees and family members enrolled in the PPO plan. There’s a pharmacy too! Not local to HQ? The pharmacy will ship prescriptions for no additional charge!
- An industry-leading 401k plan.
- Generous time away including vacation time, a variety of paid holidays, and our much-loved U.S. Winter Wellness Break between December 25 and January 1.
- Volunteer Time Off, parental leave and unlimited paid sick days.
- Generous childcare benefits for all full-time employees
#LI-CC1
Diverse and Inclusive
At SAS, it’s not about fitting into our culture – it’s about adding to it. We believe our people make the difference. Our diverse workforce brings together unique talents and inspires teams to create amazing software that reflects the diversity of our users and customers. Our commitment to diversity is a priority to our leadership, all the way up to the top; and it’s essential to who we are. To put it plainly: you are welcome here.
Additional Information
To qualify, applicants must be legally authorized to work in the United States, and should not require, now or in the future, sponsorship for employment visa status. SAS is an equal opportunity/Affirmative Action employer. All qualified applicants are considered for employment without regard to race, color, religion, gender, sexual orientation, gender identity, age, national origin, disability status, protected veteran status or any other characteristic protected by law. Read more: Know Your Rights. Also view the Pay Transparency notice.
Resumes may be considered in the order they are received. SAS employees performing certain job functions may require access to technology or software subject to export or import regulations. To comply with these regulations, SAS may obtain nationality or citizenship information from applicants for employment. SAS collects this information solely for trade law compliance purposes and does not use it to discriminate unfairly in the hiring process.
SAS only sends emails from verified “sas.com” email addresses and never asks for sensitive, personal information or money. If you have any doubts about the authenticity of any type of communication from, or on behalf of SAS, please contact Recruitingsupport@sas.com.
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* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Agile Airflow Architecture AWS Azure Big Data Computer Science Data pipelines Data quality Docker Engineering ETL Flink GCP Git GitHub GitLab HDFS Java Jenkins Kafka Kubernetes Machine Learning Pipelines Python R R&D SAS Security Spark
Perks/benefits: 401(k) matching Career development Flex vacation Health care Medical leave Parental leave Unlimited paid time off
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