Sr. Data Engineer

The Post from Indeed

Do you like working with big data? Looking for a great company to work for with great clients, too? We are seeking a strong data professional with the experience and know-how to take charge of our largest client's needs while keeping things sane with strong organization of assets. We work with one of the top cloud providers in the world…if this interests you, read on.

As a Data Engineer with a focus on GoogleSQL, you will be responsible for designing, developing, and maintaining the data infrastructure for the company. This includes building and managing data warehouses, data lakes, and data pipelines using GoogleSQL. You will also be responsible for developing and implementing data security and governance policies.

Responsibilities:

• Design, develop, and maintain optimal data pipeline architecture
• Build and manage data warehouses, data lakes, and data pipelines using GoogleSQL
• Assemble large, complex data sets that meet functional / non-functional business requirements
• Develop and implement data security and governance policies
• Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability
• Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL and other ‘big data’ technologies.
• Work with business stakeholders to understand their data needs and requirements.
• Stay up-to-date on the latest data technologies and trends

Qualifications:

• Must be authorized to work in the United States of America
• Bachelor's degree in computer science, information technology, or a related field
• 5+ years of experience in data engineering, with a focus on GoogleSQL
• Prefer 2-3 years of knowledge and experience in development and tuning of ETL processes
• Experience with data warehousing, data lakes, and data pipelines using GoogleSQL
• Experience with data security and governance using GoogleSQL
• Experience with programming languages such as Python, Java, or Scala
• Experience with big data technologies such as Hadoop, Spark, or Hive
• Strong problem-solving and analytical skills
• Excellent communication ( strong command of English) and teamwork skills
• Results driven, ability to explain projects to both internal and external stakeholders

Benefits:

• Competitive salary and great benefits (medical, dental, vision), matching 401(k), company-paid life insurance and long-term disability
• Opportunity to work on cutting-edge data projects
• Collaborative and supportive work environment
• Chance to make a real impact on the business

Job Type: Full-time

Pay: $140,000.00 - $160,000.00 per year

Benefits:

• 401(k) matching
• Dental insurance
• Employee assistance program
• Health insurance
• Health savings account
• Life insurance
• Paid time off
• Vision insurance

Compensation package:

• Performance bonus
• Yearly pay

Experience level:

• 5 years

Schedule:

• Day shift
• Monday to Friday

Ability to commute/relocate:

• Pittsburgh, PA: Reliably commute or planning to relocate before starting work (Required)

Education:

• Bachelor's (Required)

Experience:

• Big data: 5 years (Required)
• SQL: 2 years (Preferred)
• Data warehouse: 2 years (Preferred)

Work Location: Remote. Quartely Meetups

To Apply: Email Josh@kinertia.com