About Keap

Keap is the leading Sales & Marketing Automation platform for serious small businesses. We are a purpose-driven, values-based company that loves helping small businesses grow and understands how hard it is to run a successful small business. Keap’s vision is to liberate and empower entrepreneurs by automating follow-up, so they can strengthen their families, communities and economies. With tens of thousands of customers and over a hundred thousand users, we are just scratching the surface of our vision.

Overview

We are building a big data platform to bring real time and batch analytics to our small business customers. This position will work closely with our data scientists to model data and implement machine learning algorithms that will help our customers to make more informed decisions about their business. This is a very exciting opportunity to explore new technologies and build the future of data at Keap.

What you’ll be doing...

• Help build data pipeline(s) and platform(s) for our customer facing products.

• Work closely with data scientists to implement descriptive and predictive analytics.

• Explore new data technologies and advise the department on best practices.

• Work closely with developers, data scientists, and product managers to understand the questions that are being asked and how to answer them.

• Build highly available, scalable and fault tolerant systems for batch and real-time data analysis.

• Explore new technologies and how they might enhance our data solutions.

Please note this job description is not designed to cover or contain a comprehensive listing of activities, duties, or responsibilities that are required of the employee for this job. Duties, responsibilities, and activities may change at any time with or without notice.

Your experience should include...

• Ability to program in Python or Java.

• Experience with Google BigQuery.

• Experience with Snowflake.

• Familiarity with machine learning concepts.

• If you can execute the work, you can do the job. That being said, we realize we likely need someone with…

• Strong programming ability.

• 5-7 Years of experience

  • in building data-lake in a cloud environment.

  • in building real time streaming data ingestion and processing pipeline using Kafka or Pub/Sub.

  • with data processing tools (e.g. Hadoop, Spark, Dataflow, etc.)

  • building ETL/ELT pipelines, familiar with Airflow.

Bonus points if you…

• Ability to program in Python or Java.

• Experience with Google BigQuery.

• Experience with Snowflake.

• Familiarity with machine learning concepts.

At Keap, we celebrate diversity and inclusion to benefit our employees, our products, our community, and to help small businesses succeed. We do not discriminate based on race, color, ethnicity, ancestry, national origin, religion, sex, gender, gender identity, gender expression, sexual orientation, age, disability, veteran status, marital status or any legally protected status.

Keap’s corporate office is located at 1260 South Spectrum Blvd. Chandler AZ 85286.

Legal authorization to work in the U.S. is required. Keap will not sponsor new candidates for employment visas, now or in the future, for this job opening.

Any candidate who misrepresents their identity and/or skills may be subject to civil damages, penalties, and criminal prosecution.

California Employee Privacy Notice: https://keap.com/legal/cepn

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