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Data Engineer
Blavity Los Angeles, CA
$127k-157k (estimate)
Full Time | Software & Cloud Computing 2 Months Ago
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Blavity is Hiring a Remote Data Engineer

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.

Jazz SEO Description (160 characters limit)

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.

Job Summary

JOB TYPE

Full Time

INDUSTRY

Software & Cloud Computing

SALARY

$127k-157k (estimate)

POST DATE

02/26/2024

EXPIRATION DATE

05/23/2024

WEBSITE

blavity.com

HEADQUARTERS

LOS ANGELES, CA

SIZE

25 - 50

FOUNDED

2014

TYPE

Private

CEO

MORGAN ROSE DEBAUN

REVENUE

<$5M

INDUSTRY

Software & Cloud Computing

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About Blavity

Blavity is an online portal that allows users to discover, watch and share videos.

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The job skills required for Data Engineer include SQL, Data Engineering, AWS, Data Warehouse, Computer Science, Insight, etc. Having related job skills and expertise will give you an advantage when applying to be a Data Engineer. That makes you unique and can impact how much salary you can get paid. Below are job openings related to skills required by Data Engineer. Select any job title you are interested in and start to search job requirements.

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The following is the career advancement route for Data Engineer positions, which can be used as a reference in future career path planning. As a Data Engineer, it can be promoted into senior positions as a Database Engineer IV that are expected to handle more key tasks, people in this role will get a higher salary paid than an ordinary Data Engineer. You can explore the career advancement for a Data Engineer below and select your interested title to get hiring information.

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If you are interested in becoming a Data Engineer, you need to understand the job requirements and the detailed related responsibilities. Of course, a good educational background and an applicable major will also help in job hunting. Below are some tips on how to become a Data Engineer for your reference.

Step 1: Understand the job description and responsibilities of an Accountant.

Quotes from people on Data Engineer job description and responsibilities

The data engineer develops and maintains the enterprise data framework for continued use.

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A data engineer prepares data for analytical or operational uses.

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Data engineers simplify complex data structure and prevent the reduplication of data.

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Data Engineers are the technical professionals who prepare data that can be used by data scientists for valuable decisions and strategies.

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Step 2: Knowing the best tips for becoming an Accountant can help you explore the needs of the position and prepare for the job-related knowledge well ahead of time.

Career tips from people on Data Engineer jobs

Changing oil, running basic checks, topping off fluids and checking tire pressure are common job duties.

01/22/2022: Fort Wayne, IN

Oil changes are an essential component of preventative maintenance.

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A data engineer should be aligned with a data scientist’s needs while creating a data system.

04/10/2022: Fayetteville, NC

Start with an entry-level position.

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Consider pursuing additional professional engineering or big data certifications.

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Step 3: View the best colleges and universities for Data Engineer.

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