Spontaneous Application - Data Engineer

Amplemarket; United States; Remote; USD 110,000 - 160,000; Full time

Benefits offered by this job

Health Insurance

Stock Options

Annual Company Trip

Nice work environment

Job summary

Amplemarket is seeking a Data Engineer to design, build, and maintain data pipelines and infrastructure for large datasets. You will collaborate with ML, analytics, and product teams to ensure data quality and accessibility for decision-making and product innovation.

Ideal candidates have 3+ years in data engineering, strong Python/SQL, experience with cloud data warehouses (Redshift, BigQuery) and ETL tools (Spark, Databricks, Snowflake), plus excellent communication.

Qualifications

• 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.

Responsibilities

• Design and implement data pipelines for collection, storage, and transformation of data from multiple sources.
• Develop and maintain data models and schema to support analysis and reporting.
• Write and maintain ETL jobs to load data into the data warehouse.
• Collaborate with ML engineers, data analysts, and stakeholders to meet data requirements.
• Monitor and optimize data pipelines to ensure data quality and performance.

Skills

Python

SQL

Data modeling

ETL

Cloud data warehousing

Kafka/RabbitMQ

Education

Bachelor's or Master's in CS/Data Science

Tools

Spark

Flink

Databricks

Snowflake

Redshift/BigQuery

Job description

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.