Title: Senior Data Engineer

Location: Burbank, CA (4 days onsite, 1 day remote)

Duration: 12+ months

Compensation: $80-$84.81/hr

Work Requirements: US Citizen, GC Holders or Authorized to Work in the U.S.

The Decision Science and Integration analytics consulting team is responsible for supporting clients across enterprise. They leverage technology, data analytics, optimization, statistical and econometric modeling to explore opportunities, shape business decisions and drive business value.

The team is involved in various activities ranging from data acquisition and validation, designing and implementing ETL/ELT data pipelines, designing and implementing databases, and evolving our next generation data platform to fulfill the needs of our applications, data services, ad-hoc analytics and self-service/POC initiatives.

Responsibilities

The Data Engineering team is looking to fill a Senior Data Engineer responsible for designing and implementing ETL/ELT data pipelines, designing and implementing database schema/tables/views, and building batch processes leveraging Airflow for several projects.

This Senior Data Engineer will be responsible for partnering with our team members in various activities around data requirements gathering, data validation scripting and review, developing and monitoring ETL/ELT data pipelines, designing and implementing database schema/tables/views, plus deployment across multiple environments such as DEV, QA/UAT and PROD.

The role will leverage a multitude of technologies to fulfill the work including, but not limited to SQL, Python, Docker, Gitlab, Airflow, Snowflake, Looker and PostgreSQ

Basic Qualifications:
• 3+ years of experience with Python
• 4+ years of experience with SQL
• 3+ years of experience designing, building and maintaining ETL/ELT data pipelines
• 2+ years of experience with cloud based technologies, preferably AWS and S3
• Experience using Apache Airflow, Databricks
• 2+ years leveraging, designing and building relational databases
• 2+ years of experience using Gitlab/Github
• 2+ years of experience working on a cloud platform
• 2+ years of experience working with data lakes, data warehouses and application databases

Preferred Qualifications:
• Experience with Snowflake, Airflow, Gitlab, , Tableau
• Experience in streaming, media, or digital marketing domain 3+ years of experience in a Data Engineering role.
• SQL, Python, Snowflake, Gitlab, Airflow, AWS S3 and Relational Databases
• Experience working with large datasets and big data technologies, preferably cloud-based, such as Snowflake, Databricks, or similar.
• Experience with SQL Query optimization based on runtime and cost
• Participate in driving best practices around data engineering software development processes

Required Education:
• Bachelor degree in Computer Science, Mathematics

Our benefits package includes:

• Comprehensive medical benefits
• Competitive pay, 401(k)
• Retirement plan
• ...and much more!

About INSPYR Solutions

Technology is our focus and quality is our commitment. As a national expert in delivering flexible technology and talent solutions, we strategically align industry and technical expertise with our clients' business objectives and cultural needs. Our solutions are tailored to each client and include a wide variety of professional services, project, and talent solutions. By always striving for excellence and focusing on the human aspect of our business, we work seamlessly with our talent and clients to match the right solutions to the right opportunities. Learn more about us at inspyrsolutions.com.

INSPYR Solutions provides Equal Employment Opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability, or genetics. In addition to federal law requirements, INSPYR Solutions complies with applicable state and local laws governing nondiscrimination in employment in every location in which the company has facilities.

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