6 hours ago
Base Salary
$76k - $136k/yr
Responsibilities
- Design, build, and maintain ETL/ELT pipelines using Python, Airflow, and internal data frameworks.
- Process and transform large datasets for analytics and reporting.
- Develop and optimize data models for business-critical applications and dashboards.
- Write efficient, scalable, and reusable software engineering code.
- Use Unix or Linux environments for data automation, scripting, and system debugging.
- Collaborate with cross-functional teams to ensure data accuracy and availability.
Requirements
- Bachelor's degree in Computer Science.
- Solid proficiency in Python programming and scripting.
- Understanding of SQL, data modeling, and relational database systems.
- Familiarity with ETL/ELT concepts and workflow orchestration systems.
- Experience with Unix or Linux environments and shell scripting.
- Knowledge of distributed data frameworks such as Spark, Flink, or Airflow.
Benefits
- Flexible work arrangements through Akamai's FlexBase program, including working from home, in an office, or a combination of both.
- Healthcare, 401(k) savings plan, company holidays, PTO, sick time, parental leave, and employee assistance programs focused on mental and financial wellness.
- Potential eligibility for annual incentives, equity awards, and an Employee Stock Purchase Plan.
Tech Stack
Categories
Data Engineering
About Akamai
Akamai builds content delivery, cloud security, and edge compute services for enterprises that run consumer and business web, API, and video workloads. The public company (NASDAQ: AKAM), founded in 1998 and headquartered in Cambridge, MA, operates a global CDN and security platform and sells via subscriptions and usage-based services. It expanded into cloud infrastructure by acquiring Linode in 2022, offering IaaS and managed Kubernetes.