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Data Engineer

Job in Fremont, Alameda County, California, 94537, USA
Listing for: TribolaTech Inc
Full Time position
Listed on 2026-03-04
Job specializations:
  • IT/Tech
    Data Engineer, Big Data, Data Warehousing, Data Analyst
Salary/Wage Range or Industry Benchmark: 60000 - 80000 USD Yearly USD 60000.00 80000.00 YEAR
Job Description & How to Apply Below

We are looking for a Data Engineer to design, build, and maintain reliable data pipelines and data warehouse solutions. This role requires strong expertise in Python, SQL, Airflow, and Data Modeling
, with exposure to Big Data technologies such as Hadoop and Spark being a strong plus. The position is execution-focused and simpler in scope

Key Responsibilities
  • Design, develop, and maintain data pipelines using Python and Airflow
  • Build and manage Data Marts and Data Warehouses
  • Develop, optimize, and maintain complex SQL queries
  • Design database objects in MySQL, SQL Server, and Vertica
  • Apply data modeling concepts and clearly explain data flow from source to destination
  • Integrate data using REST and SOAP APIs
  • Ensure data accuracy, consistency, and performance
  • Create dashboards and analytical reports
    , including reports for C-level executives
  • Troubleshoot data issues and deliver solutions under tight deadlines
Mandatory

Skills & Qualifications
  • Strong expertise in SQL (expert-level query writing required)
  • Strong proficiency in Python
  • Hands-on experience with Airflow for workflow orchestration
  • Solid understanding of Data Warehousing concepts
  • Experience creating data pipelines using Python
  • Familiarity with REST and SOAP APIs
  • Excellent problem-solving, analytical, verbal, and written communication skills
  • Experience with Hadoop platform / Big Data ecosystem
  • Spark experience is ideal
  • Other Big Data experience such as Scala, Kafka
    , etc. is acceptable
  • Total experience: ~5 years
    , with 1–2 years in Big Data
Nice-to-Have Skills
  • SSIS, Informatica
  • Tableau or other BI tools
  • SQL Server
  • Understanding of distributed computing (HDFS, Spark, Presto)
  • Proficiency in Scala, Splunk
  • Experience working with systems at scale
  • Exposure to Docker, Kubernetes, Jenkins CI/CD pipelines
  • Experience with Big Data tools:
    Hadoop, Hive, Spark, Kafka, HDFS
  • Experience with data science libraries:
    Pandas, Num Py, R
  • Experience with messaging queues:
    Kafka or RabbitMQ
  • Exposure to React JS, Node JS
    , REST APIs, or web development (preferred but not mandatory)
Additional Information
  • Role is Data Engineer (not Data Scientist)
  • Internal reassignment is being evaluated; if unsuccessful, hiring will proceed
  • Immediate or near-immediate availability preferred
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