Senior Data Engineer

Description Architect the Future: Senior Data EngineerAre you a data whisperer? We're seeking a skilled and passionate Senior Data Engineer to join our growing team and revolutionize our data infrastructure. You'll play a pivotal role in shaping the future, crafting a modern Data & Information Delivery platform that fuels our next generation of products and data initiatives.

Data Maestro: Orchestrate the flow of vital information, transforming raw data into actionable insights for analysts and scientists.

Pipeline Architect: Design and build robust data pipelines to seamlessly transport data from diverse sources to our secure storage systems.

Algorithm Artist: Wield SQL and Python like paintbrushes, shaping data into captivating analyses for optimized decision-making.

Bridge Builder: Collaborate with teams across EWC, bridging the gap between data and business needs.

Innovation Alchemist: Spark creativity, crafting data tools and validation methods that ensure accuracy and accessibility.

Cloud Architect: Design and implement a cutting-edge cloud-based data platform using AWS, ensuring efficient and secure storage.

Problem-Solver Extraordinaire: Tackle data challenges head-on, conducting research and troubleshooting to keep our systems humming.

You Shine Bright When:

You embrace values, fostering a "can-do" and inclusive environment.

You have a proven track record of success in data engineering/science initiatives.

You navigate ambiguity with ease, collaborating effectively to achieve goals.

You thrive in a team atmosphere, valuing the power of diverse skills.

You're a quick learner and troubleshoot like a champ.

You communicate clearly and concisely, both verbally and in writing.

You're self-sufficient and driven, a rock star in a small team.

You understand the modern data threat landscape and prioritize security.

You captivate audiences with your organization and presentation skills.

Your Credentials:

Bachelor's in Computer Science, Data Science, or equivalent.

7+ years of software development or data engineering experience.

5+ years of expertise in DBT and Airflow.

SQL mastery and deep understanding of datastores and data modeling.

Proven track record of designing, building, and optimizing ETL pipelines and big data architectures.

Experience analyzing unstructured data and identifying improvement opportunities.

A knack for building data transformation processes and managing workload.

Proven ability to architect and optimize high-throughput data pipelines.

Cloud deployment experience in AWS or Azure.

Experience with: Snowflake, AWS Storage Services, Astronomer, Domo, Tableau/PowerBI

A passion for teaching and sharing your data knowledge.

Requirements

DBT AirflowSnowflakeTechnology Doesn't Change the World, People Do.® Robert Half is the world’s first and largest specialized talent solutions firm that connects highly qualified job seekers to opportunities at great companies. We offer contract, temporary and permanent placement solutions for finance and accounting, technology, marketing and creative, legal, and administrative and customer support roles.Robert Half works to put you in the best position to succeed. We provide access to top jobs, competitive compensation and benefits, and free online training. Stay on top of every opportunity - whenever you choose - even on the go. Download the Robert Half app (https://www.roberthalf.com/us/en/mobile-app) and get 1-tap apply, notifications of AI-matched jobs, and much more.All applicants applying for U.S. job openings must be legally authorized to work in the United States. Benefits are available to contract/temporary professionals, including medical, vision, dental, and life and disability insurance. Hired contract/temporary professionals are also eligible to enroll in our company 401(k) plan. Visit roberthalf.gobenefits.net for more information.© 2024 Robert Half. An Equal Opportunity Employer. M/F/Disability/Veterans. By clicking “Apply Now,” you’re agreeing to Robert Half’s Terms of Use (https:///www.roberthalf.com/us/en/terms) .