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Connect with headhunters to apply for similar jobsSr. Big Data Engineer
Job summary
A leading technology company is seeking a Senior Big Data Engineer to join their Customer Identity team remotely. The successful candidate will manage high-performance data services essential for marketing and customer interactions. Key qualifications include extensive data engineering experience, strong proficiency in Python, and familiarity with tools like Apache Airflow and Kafka. The role offers competitive salary, fully remote work, and benefits including paid vacation and holidays.
Benefits
Qualifications
- 5+ years of professional experience as a Data Engineer or in a closely related role.
- Strong experience with Python.
- Experience working with RESTful APIs in data pipelines.
Responsibilities
- Join the Customer Identity team to ensure customer data accuracy and accessibility.
- Manage high-performance batch and real-time services.
- Leverage modern development practices to enhance customer interactions.
Skills
Tools
Monthly salary : $4,000 - $5,000 USD
Native / Bilingual English is required for this role (read / written / spoken). Please upload your CV Resume in English.
Along with our partner, we are seeking a Senior Big Data Engineer to join the Customer Identity (CI) team that is central to the enterprise, focused on ensuring customer data is accurate, consistent, and readily accessible. This critical data is the foundation for essential business processes, including personalized marketing, analytical reporting, and seamless online and in-store checkout and customer service experiences.
They manage a wide array of high-performance, scalable batch and real-time services. These services are utilized at numerous customer interactions, such as in-store purchases, online orders, rewards program enrollments, and activations from various marketing channels (Email, Direct Mail, SMS, Push notifications, etc.). By leveraging modern development practices, tools, and technology platforms, the CI team builds capabilities that empower customer-facing and checkout teams to deliver personalized, relevant, and frictionless experiences, ensuring customers realize value with every interaction.
This team operates in every major US time zone from Pacific to Eastern. Core hours would be considered 10 am CST - 4 pm CST with 2 hours spilling over either direction based on location.
- 5+ years of professional experience as a Data Engineer or in a closely related role.
- Strong experience with Python.
- Hands‑on experience with Airflow.
- Experience working with Scala.
- Experience with Spark, Spark SQL, and Spark Streaming.
- Experience designing and working with relational and NoSQL databases.
- Direct experience using Apache Kafka.
- Strong ability to write complex SQL queries.
- Experience with GCP, including BigQuery, BigTable, and Dataproc.
- Experience working with RESTful APIs in data pipelines.
Python, Apache Airflow, Apache Spark, Spark SQL, Spark Streaming, Kafka, Relational Databases, NoSQL Databases, GCP BigQuery, BigTable, Dataproc, RESTful APIs.
Experience with Databriks, Snowflake, Java, Springboot.
3 months; end date being March 31, 2026, with the possibility of being extended based on team needs.
A fully remote position with a structured schedule that supports work‑life balance.
The opportunity to join a leading retail innovator transforming the shopping experience through cutting‑edge technology.
Two weeks of paid vacation per year.
10 paid days for local holidays.
- Please note our partner is only looking for full‑time dedicated team members who are eager to fully integrate within their team.
* The salary benchmark is based on the target salaries of market leaders in their relevant sectors. It is intended to serve as a guide to help Premium Members assess open positions and to help in salary negotiations. The salary benchmark is not provided directly by the company, which could be significantly higher or lower.