Data Engineer

| Los Angeles, CA, USA
Employer Provided Salary: 120,000-140,000 Annually
Salary data is provided by the employer. Please note this is not a guarantee of compensation.
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Blavity, Inc. is a venture-funded media and technology company, founded in 2014 around a simple idea: enable Black millennials to tell their own stories. Today, we are home to the largest network of platforms and lifestyle brands serving the multifaceted lives of Black millennials & Gen Z through original content, video, unique experiences, and product solutions. Blavity Inc. has evolved into a market leader for Black media, reaching 250 million users per month through our growing brand portfolio, including Blavity, Blavity360º, AfroTech, Talent Infusion, 21Ninety, Travel Noire, Home & Texture, and Blavity House Party. Our Blavity, Inc. employee community is composed of passionate, energetic, and culturally conscious individuals working together to deliver value to each other, the company, and our clients. We are always searching for new additions to our community that will help us continue to scale, contribute meaningfully to our culture, and advance our strategic direction.

Job Summary: 
Blavity Inc. is looking for a skilled and motivated Data Engineer to join our team. The ideal candidate will have 2-3 years of data engineering experience and a strong background in API integration, data warehousing, ETL processes, and proficiency in SQL. Additionally, candidates should be comfortable working with data from multiple platforms and have digital media publishing experience. The Data Engineer will play a key role in designing, developing, and maintaining our data infrastructure to ensure the efficient processing and analysis of large datasets.

This role will report directly to the Director, Data Intelligence. 

Responsibilities:

  • Design, develop, and maintain scalable data pipelines for ingesting, processing, and transforming data from various sources
  • Implement and optimize API integrations to retrieve and store data from external sources
  • Build and maintain data warehouses for storage and organization of structured and unstructured data
  • Develop and implement ETL processes to cleanse, validate, and transform data for analysis and reporting
  • Collaborate with cross-functional teams to understand data requirements and design solutions that meet business needs
  • Troubleshoot and resolve issues related to data quality, performance, and reliability
  • Stay up-to-date with emerging technologies and best practices in data engineering and recommend improvements to existing processes

Qualifications:

  • Education: Bachelor's degree in Computer Science, Engineering, Information Technology, or a related field
  • Required Experience
    • 2-3 years of experience in data engineering or related role
    • Proficiency in SQL for data manipulation and querying
    • Experience with API integration and development using RESTful APIs
    • Strong understanding of data warehousing concepts and experience with technologies such as Snowflake, Redshift, and/or BigQuery
    • Experience working with a Customer Data Platform such as Lytics
    • Experience in digital media publishing 
    • Familiarity with cloud platforms such as GCP, AWS, and/or Azure
  • Preferred Experience:
    • Master's degree in Computer Science, Engineering, Information Technology, or a related field
    • Experience working with advertising teams
    • Experience with streaming data processing technologies such as Kafka, Flink, and/or Spark Streaming
    • Knowledge of machine learning concepts and techniques
    • Experience working in Agile development environments
  • Additional Qualifications:
    • Comfort working with data from multiple platforms
    • Strong collaboration skills
    • Excellent problem-solving skills and attention to detail
    • Independent, entrepreneurial self-starter who is comfortable taking on a high level of responsibility
    • Comfort with ambiguity and a proven love for transforming unorganized/complex data into rigorously structured, insight-oriented solutions
    • High-energy, company-first, positive attitude; must be motivated to work hard in a fast-paced environment
    • Excellent communication and analytical skills; outgoing and sociable; willing to wear multiple hats 
    • Naturally detail-oriented, with an obsessive need to document and communicate findings
    • A healthy appreciation of GIFs and Black culture

Details: 

  • This is a fully remote, U.S.- based role. Occasional travel may be required. 
  • Candidates must be authorized to work in the U.S.
  • The annual salary range for this role is $120,000 - $140,000.

To apply, please submit your resume and cover letter online at BlavityInc.com/Careers.

Blavity is committed to creating a diverse environment free of discrimination and harassment, and building a team that represents a variety of backgrounds, perspectives, and skills.
Blavity is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, HIV Status, veteran status, or any other status protected by the laws or regulations in the locations where we operate.

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The Data Engineer will play a key role in designing, developing, and maintaining Blavity’s data infrastructure to ensure the efficient processing and analysis of large datasets.


 

More Information on Blavity Inc.
Blavity Inc. operates in the Digital Media industry. Blavity Inc. was founded in 2014. It has 217 total employees. To see all 8 open jobs at Blavity Inc., click here.
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