Data Engineer

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We are looking to hire a Data Engineer to join our data team. You will take responsibility for ensuring our core data product is top-notch, managing our master data set, developing reports, and troubleshooting data issues.

To do well in this role you need a very fine eye for detail, experience as a data engineer, and a deep understanding of the popular data analysis tools and databases.

• Build datasets from disparate data points with SQL-based technologies
• Create and maintain optimal data pipeline architecture
• Assemble large, complex data sets that meet functional/non-functional business requirements
• Helping develop reports and analysis.
• Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL
• Design data models (relational and unstructured)
• Work with stakeholders including the Executive, Product, Data, and Design teams to assist with data-related technical issues and support their data infrastructure needs.
• Assessing tests and implementing new or upgraded software and assisting with strategic decisions on new systems.
• Generating reports from single or multiple systems.
• Help build-out/grow data platform
• Write server-side processes for handling data acquisition, storage, and processing

We are a young and growing company. As an engineer, you will have a huge impact on the success and momentum of our organization. Our team is small and agile, but we have a fun, hard-working culture. We look for people who love learning and sharing with other team members. Our team is respectful of one another's strengths and weaknesses. At Vitalyze, you can expect a high-level of independence and autonomy.

Who We’re Looking For

We’re looking for an engineer who models our core values:

• Demonstrable experience designing and building data processes.
• Comfortable with independence and autonomy.
• Excellent communication skills. Candidates should be comfortable explaining their decisions as well as actively listening to input from their teammates.
• Attention to detail and able to resolve ambiguity.
• Respectful of teammates.
• Not intimidated by lack of present knowledge but has confidence in ability to learn, i.e. you live to grow not the other way around.
• Takes pride in their work and derives joy from the value it provides.
• Enjoys thinking differently and solving problems in creative ways.

Qualifications

A successful candidate will have the following competencies:

• Strong SQL skills
• Postgres (or similar database, we use Redshift)
• Demonstrated experience in Python
• Data pipelines and ETL processes
• Be comfortable working with structured and unstructured data
• Basic programming knowledge

Experience with the following is not required but a bonus:

• Amazon Redshift Database
• Apache Flink, Apache Spark, Hadoop, or similar data processing framework
• Apache Kafka
• NoSQL methodologies
• Scripting (bash, Python)
• Linux (or other *nix environment)

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