Type: Full Time

Who we are:

We are Dataminr. We deliver real-time, actionable alerts that are derived from vast amounts of publicly available information. Our clients are the first to know about high-impact events and critical breaking information, giving them the opportunity to act faster and stay one step ahead when every second counts. We are a mission-driven company committed to the power of real-time information as a force for good in the world.

Our groundbreaking AI and machine learning technology cuts through the noise in an increasingly complex landscape by detecting, classifying, and determining the significance of public information. Headquartered in NYC, Dataminr has revolutionized the way that global news, finance, public sector, corporate security and PR/communications professionals know and act on critical, relevant information to protect people, assets and brands.

Along the way, we've grown to over 450 talented employees across six global offices, raised over $570 million from leading venture and growth technology investors, and been referred to as the “super tool of journalists and hedge funds.” We’ve received numerous awards and accolades from our clients, including recognition from CNBC as one of the world’s 50 most disruptive private technology companies in 2016 and joining Forbes’ definitive list of the top 100 private cloud companies in the world, in 2017 and 2018.

A career at Dataminr offers the ability to make a meaningful impact at a rapidly growing tech company with a startup culture, while being supported by the experience of a company founded in 2009. We value ownership, curiosity and drive on an individual level and live these values every day. We empower everyone to have a voice at the table and regularly invest in professional development. Our culture promotes cross team interaction, work-life balance and the sharing of information and ideas because it enables us to do our best work and have fun.

Who you are:

You're an experienced Senior Data Pipeline Engineer interested in working in both streaming and batch processing environments [Kafka streaming, Kinesis, Spark, SCALA, Java], writing, upgrading and scheduling ETLs that produce meaningful analytic insights for an innovative, data-intensive product. You excel at integrating data from different sources, you are intellectually curious about analytics frameworks and you are well-versed in the advantages and limitations of various big data architectures and technologies. You are also comfortable using SQL for exploratory analyses and data validation. Importantly, you understand the importance of communication in engineering and how essential it is to appreciate business metrics and business needs when building out new data analytics pipelines. You have a history of mentoring other engineers, you give your time generously and you know when to ask for help.

The opportunity:

You will be a lead data engineer responsible for architecting and building highly-performant and maintainable analytic pipelines with the best of current technologies including both batch and streaming environments. You will write and maintain ETLs and APIs and consult with other teams on how to improve theirs. You will schedule jobs and manage workflows in support of both product and our AI/Data Science pipeline, and you’ll be introduced to our unique ingest and processing pipelines that turn publicly available data into breaking, real-world alerts that are routed to our customers all over the world. In the first month, you’ll

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

Within 3 months, you’ll:

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

Within 6 months, you’ll:

• own an area of the analytics platform.
• design and implement pipelines that impact multiple teams across the company.
• be influential in helping plan the next iteration of our analytics platform.
• bring new ideas to our engineering and analytics processes to help us continuously improve.

The way we work:

To maintain our momentum, we need a talented, diverse team of people committed to the idea that real-time information can be a force for good in the world.

• We take initiative, ownership, and are accountable.
• We work urgently and thoughtfully and are driven to constantly improve.
• We share knowledge, consider varied perspectives, and assume positive intent.
• We are commercially minded and deliver measurable results.
• We maintain a sense of humor and humility.

Our offering of competitive benefits and perks include:

• Company paid benefits for employees and their dependents, such as medical, dental, vision, disability and life
• Flexible spending account to be used for out-of-pocket medical, transit, parking and dependent care expenses
• 401(k) savings plan
• Generous leave
• Daily catered lunch
• A kitchen fully stocked with snacks and beverages
• Discounted Gym Membership

Dataminr is an equal opportunity and affirmative action employer. Individuals seeking employment at Dataminr are considered without regards to race, sex, color, creed, religion, national origin, age, disability, genetics, marital status, pregnancy, unemployment status, sexual orientation, citizenship status or veteran status.

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