We're looking for a talented Senior Data Engineer to join our team. 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.

If you're ready to take on new challenges and drive innovation in the world of data engineering, we'd love to hear from you. 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 PostgreSQL. Basic Qualifications: 3+ years experience with Python. 4+ years experience with SQL.

3+ years of experience designing, building, and maintaining ETL/ELT data pipelines. 2+ years experience with cloud-based technologies, preferably AWS and S3. Experience using Apache Airflow, and Databricks.

2+ years leveraging, designing, and building relational databases. 2+ years of experience using Gitlab/Github. Preferred Qualifications: Experience with Snowflake, Airflow, Gitlab, and Tableau.

Experience in streaming, media, or digital marketing domain. 3+ years experience in a Data Engineering role. SQL, Python, Snowflake, Gitlab, Airflow, AWS S3 and Relational Databases.

2+ years experience working on a cloud platform. 2+ years of experience working with data lakes, data warehouses, and application 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's degree in Computer Science and mathematics. Benefits: 401(k). Dental Insurance. Health insurance. Vision insurance.

We are an equal opportunity employer and value diversity, equality, inclusion, and respect for people. The salary will be determined based on several factors including, but not limited to, location, relevant education, qualifications, experience, technical skills, and business needs. Additional Responsibilities: Participate in OrangePeople monthly team meetings, and participate in team-building efforts.

Contribute to OrangePeople technical discussions, peer reviews, etc. Contribute content and collaborate via the OP-Wiki/Knowledge Base. Provide status reports to OP Account Management as requested.

About us: OrangePeople is an Enterprise Architecture and Project Management solutions company. Our most valuable asset is our people: dynamic, creative thinkers, who are passionate about doing quality work. As a member of the OrangePeople team, you will have access to industry-leading consulting practices, strategies & and technologies, innovative training & and education.

An ideal Orange Person is a technology leader with a proven track record of technical achievements and a strong process/methodology orientation