Senior Data Engineers (Principal and Manager)

Senior Data Engineer

Our exciting new client puts real-time AI and public data to work for clients, generating relevant and actionable alerts for global corporations, public sector agencies, newsrooms, and NGOs. Their leading AI platform detects the earliest signals of high-impact events and emerging risks from vast amounts of publicly available information. Their real-time alerts enable tens of thousands of users at hundreds of public and private sector organizations to learn first of breaking events around the world, develop effective risk mitigation strategies, and respond with confidence as crises unfold.

This firm is making its mark for growth and innovation, recently earning recognition on the Deloitte Technology Fast 500, Forbes AI 50 and Forbes Cloud 100 lists. They also earned accolades for ‘Most Innovative Use of AI’ from the 2020 AI & Machine Learning Awards.

The opportunity:

If you enjoy working on a collaborative, high-growth team with best-in-class cloud-native technologies, this is the role for you! This tech stack includes Snowflake, Kafka & Kafka Connect, Spark, Scala, Java, Python, and their business model is 24/7 streaming data. They support both streaming and batch processes within an integrated and resilient architecture that delivers high impact results for teams across the company.  They are passionate about Data Infrastructure as a Service, and find meaning in enabling others to work faster by building better tooling.  In this role, you will enjoy greenfield big data engineering projects that provide highly-performant and easy-to-maintain data infrastructure. You’ll partner with other teams across research, AI and engineering, and the likelihood is high that you’ll make their day with data. You’ll contribute to expanding methods for ensuring the validity and quality of the company’s datasets, and you’ll help develop systems that accurately monitor and measure the impact of releases to production systems. 

In the first month, you’ll

• start off by learning the ropes, spending time with different parts of the company to understand how this client works.
• get up to speed on data infrastructure and roadmap with overview sessions and deep dives with your team.
• contribute code to production systems.

Within 3 months, you’ll:

• share responsibility for data infrastructure with members of your team.
• help to plan new infrastructure features and improvements.
• begin to take more of a role in helping others understand data platform strategy.

Within 6 months, you’ll:

• own an area of the data platform, depending on your interests
• design and implement pipelines that impact multiple teams across the company.
• be influential in helping plan the next iteration of data platforms.
• bring new ideas to engineering and analytics processes to help continuously improve them.

Who you are:

You have 5+ years of experience with data engineering. You love all things data. You share knowledge and love to learn. You have some experience designing, building and maintaining data infrastructure and are proficient in cloud-native dev ops. You enjoy writing and maintaining ELTs and their orchestration in order to produce meaningful and timely insights. Ideally you excel at integrating data from different sources, using SQL and Python, or Java, for exploratory analyses and data validation, and are well-versed in the advantages and limitations of various big data architectures and technologies. You are intellectually curious and you understand the importance of mindful communication in engineering. You have a history of mentoring other engineers and you give your time and support to help others.