Senior Cloud Data Engineer (GCP, Python, API)

Andela exists to connect brilliance and opportunity. Since 2014, we have been dedicated to breaking down global barriers and accelerating the future of work for both technologists and organizations around the world. For technologists, Andela offers competitive long-term career opportunities with leading organizations, access to a global community of professionals, and educational opportunities with leading technology providers. At Andela, we're deeply passionate about creating long-lasting and transformative growth opportunities for all - and doing it in an E.P.I.C. way! We're excited to continue building our remote-first team with incredible people like you. After applying for this role, you will join our Andela Community of brilliant technologists by passing a technical screening and live interview. As a community member, you'll have access to a multitude of exclusive technologist roles.

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About the client

Our client is a technology-driven organization focused on modernizing its enterprise data infrastructure on Google Cloud Platform. They are investing in scalable data warehousing, data lake, and analytics capabilities, combining native GCP services with third-party data technologies to power automation and large-scale data processing across the business. The team values engineers who can work with a strong degree of autonomy, build robust API-driven integrations, and bring solid software engineering discipline to data platform work.

About the role

We're looking for a Senior Data Engineer to join a team building, transforming, and modernizing enterprise data solutions on Google Cloud Platform. You'll integrate native GCP services with third-party data technologies and manage platform-related automation tasks, including exposing and consuming APIs. The role involves operationalizing data warehouses, data lakes, automation tasks, and analytics platforms at scale, using hands-on GCP tooling such as BigQuery, Dataflow, and Cloud Composer alongside Python, SQL, and Apache Spark. You'll bring strong judgment on large-scale, distributed data processing systems and contribute to the design of production-grade data platforms.

Responsibilities

• Build, transform, and modernize enterprise data solutions on Google Cloud Platform (GCP)
• Integrate native GCP services with third-party data technologies
• Manage platform-related automation tasks, including API exposure and consumption
• Operationalize data warehouses, data lakes, automation tasks, and analytics platforms at scale on GCP

Must have skills

• Google Cloud Platform (GCP), including hands-on experience with Cloud Storage, Cloud SQL, Cloud Datastore, Cloud Source Repositories, Cloud Spanner, BigQuery, Cloud Dataflow, Dataproc, Cloud Datalab, Cloud Composer, and Cloud Pub/Sub
• Power BI
• Python, for automation and data engineering
• SQL
• NoSQL databases
• Object Storage
• Modern API development and API management
• Direct experience with Enterprise Data Warehouse technologies
• Experience designing and deploying large-scale distributed data processing systems (e.g., MySQL, MemSQL, PostgreSQL, MongoDB, Hadoop, HBase, Teradata)
• Good English proficiency and effective communication skills

Nice to have skills

• Scala
• Java
• Looker / Data Studio
• Google Professional Data Engineer Certification

Conditions

• Remote role; primary timezone UTC-5 (EST), with a minimum of 5 hours of daily overlap with EST, including core hours of 9:00 AM–2:00 PM EST
• Contractor role: 12-month contract, renewable
• Full-time dedication (40 hours/week)
• BYOD: not specified in the original job posting — to confirm with the hiring manager

At Andela, we know our strengths lie in our diverse community whose talents, perspectives, backgrounds and orientations we take pride in. Andela is committed to nurturing a work environment where all individuals are treated with respect and dignity. Everyone has the right to work in a professional atmosphere that promotes equal employment opportunities and prohibits discriminatory practices.

Andela provides equal employment opportunities to all employees and applicants without regard to factors including but not limited to race, color, religion, gender, sexual orientation, gender identity, national origin, age, disability, pregnancy (including breastfeeding), genetic information, HIV/AIDS or any other medical status, family or parental status, marital status, amnesty or status as a covered veteran in accordance with applicable federal, state and local laws. This commitment applies to all terms and conditions of employment, including but not limited to hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training. Our policies expressly prohibit any form of harassment and/or discrimination, as stated above.