Senior Data Engineer

Posted 3 Hours Ago
Be an Early Applicant
2 Locations
In-Office or Remote
Senior level
Cloud • Security • Software • Cybersecurity
Akamai powers and protects life online by solving the toughest challenges and turning the impossible into the possible.
The Role
Designs and maintains scalable SQL and Python data pipelines, dimensional models, data marts, and enterprise Tableau dashboards. Manages Tableau Server or Cloud administration, extract refreshes, permissions, row-level security, performance tuning, and data quality governance. Partners with stakeholders to translate business needs into analytics solutions, supports CI/CD and documentation, and provides technical guidance. Requires advanced Tableau and SQL expertise, cloud data warehouse experience, Python-based ETL automation, and at least six years of relevant experience.
Summary Generated by Built In

                                                                                                 Senior Data Engineer (Tableau)

 

Join our Data & Analytics Team!

 

As a Senior Data Engineer, you will collaborate with internal customers, data architects, and business stakeholders to design, build, and optimize end-to-end data pipelines and high-performance Tableau solutions. The Data & Analytics team partners across the entire organization to ensure strategic decision-making through scalable data architecture and actionable insights.

 

Partner with the best

 

As a Senior Data Engineer, you will be an integral part of our Data and Analytics team. You will design, develop, and deploy robust data pipelines, dimensional data models, and enterprise Tableau dashboards that provide substantial insights to educate and guide key stakeholders, including executive leadership.

 

As a Senior Data Engineer, you will be responsible for:

 

  • Designing, building, and maintaining high-performance ETL/ELT pipelines using SQL and Python to power enterprise reporting systems
  • Architecting scalable data models (star/snowflake schemas) and data marts specifically optimized for Tableau extracts (.hyper), live connections, and custom SQL queries
  • Delivering Data Intelligence by developing, publishing, and maintaining intuitive Tableau dashboards, complex calculations (LODs), and Row-Level Security (RLS) architectures
  • Working with stakeholders and analytics teams to translate complex business requirements into concrete data modeling specs and advanced visual capabilities
  • Overseeing Tableau Server/Cloud administration, enterprise folder structures, user permissions, and extract refresh scheduling
  • Becoming a subject matter expert in core business data assets, data quality governance, and performance tuning across backend data stores and front-end reports
  • Providing guidance and technical assistance to the broader team on data pipeline CI/CD, process improvements, technical documentation, and on-going operational support

 

Do what you love

 

To be successful in this role you will:
 

  • Have a bachelor's degree and 6+ years of relevant data engineering experience delivering scalable data infrastructure and high-quality BI solutions.
  • Demonstrate expert proficiency in Tableau development, including enterprise data source creation, dashboard design, complex LOD calculations, RLS, and performance optimization.
  • Demonstrate advanced SQL query writing skills and hands-on experience with cloud data warehouses (e.g., Snowflake, AIDP, Oracle).
  • Demonstrate strong technical skills in Python for data manipulation, ETL automation, and orchestration tools (e.g., dbt, Apache Airflow).
  • Possess excellent communications (written, verbal, and interpersonal) skills and effective articulation skills to translate technical infrastructure to diverse business audiences.
  • Knowledge of AI/ML concepts (predictive modeling, automated forecasting) or experience integrating ML models into analytics pipelines.
  • Be a good team player, drive for results, demonstrate the ability to multi-task, collaborate, prioritize, and solve complex structural problems in a fast-changing environment.
  • Be able to work cross-functionally and interact effectively with all levels of the organization.

 

 

 

 

 

 

 

Skills Required

  • Bachelor's degree
  • 6+ years of relevant data engineering experience delivering scalable data infrastructure and BI solutions
  • Expert proficiency in Tableau development, including enterprise data sources, dashboard design, LOD calculations, row-level security, and performance optimization
  • Advanced SQL query writing skills
  • Hands-on experience with cloud data warehouses such as Snowflake, AIDP, or Oracle
  • Strong Python skills for data manipulation, ETL automation, and orchestration
  • Experience with orchestration tools such as dbt or Apache Airflow
  • Excellent written, verbal, interpersonal, and technical communication skills
  • Knowledge of AI/ML concepts or experience integrating ML models into analytics pipelines
  • Ability to collaborate cross-functionally, prioritize, multitask, and solve complex problems

Akamai Technologies Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Akamai Technologies and has not been reviewed or approved by Akamai Technologies.

  • Leave & Time Off Breadth — Unlimited PTO in the U.S., wellness days, paid volunteering time, and the FlexBase model contribute to broad time‑off flexibility. These practices are described as supporting strong work‑life balance.
  • Parental & Family Support — Generous paid parental leaves, paid family care leave, subsidized backup childcare, and inclusive family‑building benefits via Carrot form a comprehensive family support suite. Coverage spans fertility support through caregiving resources.
  • Retirement Support — A 401(k) with a substantial company match and immediate vesting, plus Roth and Mega Backdoor Roth options, underpin long‑term savings. These features provide reliable long‑term savings opportunities.

Akamai Technologies Insights

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The Company
HQ: Cambridge, MA
10,285 Employees
Year Founded: 1998

What We Do

At Akamai, we make life better for billions of people, billions of times a day. Every moment, billions of people, all over the world, are using the internet to shop, play games, look after finances, learn remotely, share videos, connect across the world, and so much more. These life-shaping digital experiences wouldn’t be possible without Akamai. We power and protect life online. It’s an extraordinary mission, and our global teams achieve it by solving the toughest challenges, and turning the impossible into the possible. With the world’s most distributed compute platform — from cloud to edge — we make it easy for businesses to develop and run applications, while we keep experiences closer to users and threats farther away. That’s why innovative companies worldwide choose Akamai to build, deliver, and secure their digital experiences. Thanks to our world’s most distributed platform for cloud computing, security, and content delivery. Akamai keeps applications and experiences closer and threats farther away. Devoted, determined problem-solvers who share a passion for technology, we’re always pushing ground-breaking ideas and driving innovation. Do you want to power and protect life online, by solving the toughest challenges with us? Be part of an amazing team!

Why Work With Us

Our people are devoted, determined problem-solvers who share a passion for technology. We find solutions through persistence, and push ground-breaking ideas forward with urgency and courage. This creates an environment where we harness creative energy and drive innovation. We are inclusive and diverse, and we love to collaborate across the world.

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