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Data Engineer
Data EngineerInTulsa Initiative • Tulsa, Oklahoma
Data Engineer

Data Engineer

InTulsa Initiative • Tulsa, Oklahoma
[job_card.30_days_ago]
[job_preview.job_type]
  • [job_card.full_time]
[job_card.job_description]

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)
  • #Li-Hybrid

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