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Remote Spontaneous Application - Data EngineerGrabJobs • Long Beach, California, United States
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Remote Spontaneous Application - Data Engineer

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  • US
    Long Beach, California, United States
  • US
    Long Beach, California, United States
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À propos

What is Amplemarket all about? Amplemarket's premise is that a lot of the playbooks used by B2B sales teams that worked 5 years ago don't cut it anymore. In today's environment, sales teams need to have a tremendous amount of information about their prospects to decide when is the best moment and channel to reach out in the most relevant way. You can't do this with 5 different data/sales enablement point solutions that don't share the same data schema and barely communicate with each other. Amplemarket is the all-in-one compound solution that enables this. Our AI-powered sales platform helps B2B companies generate more opportunities thanks to our advanced lead generation engine, hyper-personalized sequencing, omnichannel outreach, and AI-powered smart actions. We are backed by Y Combinator, and we are powering the sales teams at some of the fastest-growing companies in the world like Deel, Moveworks, H1 and Vanta.
Important Notice: Beware of Recruitment Scams
It has come to our attention that there are fraudulent activities targeting job seekers, where individuals are impersonating Amplemarket by using fake profiles, domains, and emails. Please be informed that Amplemarket always uses our main domain (amplemarket.com) for all hiring and recruitment purposes. Any communication or offer not originating from an amplemarket.com email address should be regarded as suspicious.
We will never request personal financial information (such as bank account details) during the initial application or interview process.
Our hiring process does not involve transferring money or making payments of any kind to secure a position.
Amplemarket is not responsible for any loss or damage incurred as a result of job scams or fraudulent activity by third parties misusing our company name.
If you have any doubts about the legitimacy of a job opportunity with Amplemarket, please contact our HR department directly.
We advise you to verify the authenticity of any job-related communications claiming to be from Amplemarket. If you have any concerns or doubts, please contact us directly through our official channels.
Your security is our priority. Thank you for your vigilance and understanding.
Are you up for a challenge? Amplemarket welcomes spontaneous applications from talented people who are eager to join our team.
We are always on the lookout for exceptional Data Engineers who want to revolutionize the future of sales, while thriving in an incredible Engineering environment.
While we may not be prioritizing this opening at the moment - and, therefore, might take a bit longer to get back to you - we review spontaneous applications regularly and if your profile stands out, we’ll definitely want to get to know you
About the Engineering Team
The three co-founders have an engineering background (João, Luís and Mica studied Physics & Computer Science in university) and deeply value the work that engineers are responsible for.
Our main goal is to build a sales platform that helps companies grow. Our product requires us to solve a myriad of difficult engineering problems very diverse in nature: from working on NLP models that can extract information from a thread of emails to scaling an Elasticsearch cluster holding terabytes of data.
We are deeply aware of the importance of our tool to our customers and look for people that share that vision.
In this role, you will be responsible for designing, building, and maintaining the infrastructure and processes necessary for the collection, storage, and analysis of large datasets. You will work closely with our development, product, and data teams to ensure that our data is accurate, reliable, and accessible to support business decision-making, machine learning models, and drive product innovation.
You will:
Design and implement data pipelines for the collection, storage, and transformation of data from a variety of sources
Develop and maintain data models and schema to support data analysis and reporting
Write and maintain ETL jobs to extract, transform, and load data into our data warehouse
Collaborate with ML engineers, data analysts, and other stakeholders to understand data requirements and develop solutions to support data-driven decision-making
Monitor and optimize data pipelines and processes to ensure data quality and performance
About you:
Bachelor's or Master's degree in Computer Science, Data Science, or a related field
3+ years of experience as a Data Engineer or similar role
Strong programming skills in Python, Java, or a similar language
Experience with SQL and data modeling concepts
Experience with cloud-based data warehousing solutions such as Redshift, BigQuery, or similar
Experience with ETL tools such as Spark, Flink, Databricks, Snowflake, etc.
Experience with messaging systems such as RabbitMQ, Kafka, etc.
Knowledge of the underlying cloud infrastructure on how the various data pipeline component fit together
Excellent problem-solving and communication skills
Based somewhere between the GMT-3 and GMT+2 timezones
Some more about Amplemarket:
We are a post-Series A start-up
Backed by YCombinator
Strong technical founding team from MIT and IST (also founders of https://fermatslibrary.com/ )
Fast growing startup with product market fit
Great team spirit
We offer:
Nice work environment
Competitive Salary
Health Insurance
Stock Options
Annual Company Trip in a secret location
and more
Amplemarket is committed to creating an inclusive employee experience for all. Regardless of race, gender, religion, sexual orientation, age, disability, or if you’re parenting the next generation of innovators, we firmly believe that what truly matters is how your skills, knowledge and personality fit our company. So bring your best professional version of yourself, and apply - we'd like to hear from you!
  • Long Beach, California, United States

Compétences linguistiques

  • English
Avis aux utilisateurs

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