Senior Data Engineer (Distributed Systems & Data Platform)

Data Engineer

Work Location: Phoenix, AZ 85054

Vendor Rate: Minimum years of experience: 9 years

Would you require the candidates to meet you for in person interview? Yes

Is Skype/WebEx interview, OK? OK

Is this onsite/remote position: Onsite

If onsite, will you be considering relocation candidates: Yes

Does this position require independent candidates only? Yes

Job Description:

Looking for a subcon requirement for strong experience in data modeling (OLAP/OLTP), distributed data systems, and ETL/ELT pipelines. Proficiency in modern data tooling (e.g., Spark, Kafka, SQL/NoSQL, cloud data platforms). Experience defining and tracking data SLAs, observability, and quality metrics. Experience integrating with CI/CD, telemetry data, and large-scale system integrations.

Must Have Skills:

• Data modeling (OLAP/OLTP), distributed data systems, and ETL/ELT pipelines experience.
• Hands on knowledge for data tooling (e.g., Spark, Kafka, SQL/NoSQL, cloud data platforms)
• Github
• Backend data governance, observability, and enterprise data standards

Nice to have skills:

• ETL
• Closely working with client
• Good communication

Certifications Needed: No (Good to have knowledge in PtO Data Modeling & Platform Scalability)

Top 3 responsibilities you would expect the subcon to shoulder and execute:

• Individual contributor
• Strong development experience and leading dev module
• Work with client directly