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Data Engineer

72% Flex
Remote: 
Full Remote
Experience: 
Entry-level / graduate
Work from: 

Offer summary

Qualifications:

Experience in building data pipelines, Understanding of ETL processes.

Key responsabilities:

  • Design and implement data pipelines
  • Utilize various data storage tools
  • Leverage ingestion and transformation tools
  • Integrate version control systems
  • Stay updated with new technologies
Captiv8 logo
Captiv8 Information Technology & Services Scaleup http://www.captiv8.io/
51 - 200 Employees
See more Captiv8 offers

Job description

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Your missions

About Captiv8

Captiv8 is the ultimate influencer marketing platform, empowering brands across the globe to authentically connect with audiences and tell their unique story.

Our AI-driven platform simplifies influencer marketing, allowing brands to gain a deeper understanding of their audience, discover talented creators, optimize content, benchmark against competitors, and expand their customer base across various social media platforms. Captiv8 provides first-party data to enhance all aspects of influencer campaigns. In addition to the platform, Captiv8 offers Strategic Services where our in-house brand strategy and creative experts are on call to craft campaign success.

We're recognized as the industry leader, ranking #1 in customer satisfaction and earning the trust of industry peers. With a 5-star rating from Influencer Marketing Hub and a leadership endorsement from Forrester, we've set the standard in the influencer marketing landscape. Our pioneering API-integrated data connections with TikTok, Facebook, Instagram, Snapchat, and YouTube have provided greater transparency across the brand marketing industry.

Captiv8 is the driving force behind influencer marketing excellence. Join us and become a part of this exciting journey!

Your Mission

As a Data Engineer at Captiv8, you will be responsible for designing, building, and maintaining robust data pipelines that support our analytics, reverse ETL, and data science initiatives. You will work closely with cross-functional teams to ensure our data infrastructure is scalable, efficient, and cost-effective.

What You'll Do

  • Design and implement end-to-end data pipelines to process, transform, and store data from various sources.
  • Utilize tools such as Snowflake, BigQuery, ClickHouse, or similar for data storage and management.
  • Employ ingestion tools like Airbyte, Fivetran, or Stitch to move data across systems efficiently.
  • Leverage transformation tools like dbt, Spark, or Dataform to prepare data for analysis and machine learning.
  • Integrate version control systems like GitHub or GitLab into the data engineering workflow.
  • Ensure that all data-related solutions are optimized for performance and cost-efficiency.
  • Stay updated with emerging technologies and trends in data engineering and suggest improvements to our tech stack.

Qualifications You'll Bring

  • Proven experience building and maintaining data pipelines using those above or similar technologies.
  • Strong understanding of data storage, ETL processes, and data transformation techniques.
  • Experience with version control systems and best practices in software development.
  • Familiarity with reporting tools and the ability to translate data insights into actionable business strategies.
  • Excellent problem-solving skills and the ability to work independently and as part of a team.
  • Strong communication skills, with the ability to articulate technical concepts to non-technical stakeholders.

This employer participates in E-Verify and will provide the federal government with your Form I-9 information to confirm you are authorized to work in the U.S. If E-Verify cannot confirm you are authorized to work, this employer is required to give you written instructions and an opportunity to contact Department of Homeland Security (DHS) or Social Security Administration (SSA) so you can begin to resolve the issue before the employer can take any action against you, including terminating your employment. Employers can only use E-Verify once you have accepted a job offer and completed the Form I-9. For more information on E-Verify, or if you believe your employer has violated its E-Verify responsibilities, please contact DHS.

Este empleador participa en E-Verify y proporcionará al gobierno federal la información de su Formulario I-9 para confirmar que usted está autorizado para trabajar en los EE.UU.. Si E-Verify no puede confirmar que usted está empleador está requerido a darle instrucciones por escrito y una oportunidad de contactar al Departamento de Seguridad Nacional (DHS) o a la Administración del Seguro Social (SSA) para que pueda empezar a resolver el problema antes de que el empleador pueda tomar cualquier acción en su contra, incluyendo la terminación de su empleo. Los empleadores sólo pueden utilizar E-Verify una vez que usted haya aceptado una oferta de trabajo y completado el Formulario I-9. Para más información sobre E-Verify, o si usted cree que su empleador ha violado sus responsabilidades de E-Verify, por favor contacte a DHS.

Required profile

Experience

Level of experience: Entry-level / graduate
Industry :
Information Technology & Services
Spoken language(s):
English
Check out the description to know which languages are mandatory.

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