Data Pipeline Engineer

Reposted 7 Days Ago
Mountain View, CA
In-Office
85-95 Hourly
Mid level
Marketing Tech • Business Intelligence
The Role
The Data Pipeline Engineer will implement and maintain big data infrastructure, develop REST APIs, and perform statistical analysis within an Agile environment.
Summary Generated by Built In
FocusKPI is seeking a Data Pipeline Engineer to join one of our clients, a high-tech SaaS company. 
 
The team is seeking world-class server software engineers with experience in Big Data Infrastructure and Data warehousing to join their technology innovation group, which focuses on rapidly developing AI-driven, cloud-based end-to-end mobile applications and services. 
Data Pipeline Engineer IV involves building & managing pipelines and ETLs, requiring expertise with Spark, Iceberg, and Python coding as the main requirements.

Work Location: Mountain View, CA (Hybrid role, 4 days/week onsite mandatorily)
Duration: 12-month contract with potential to convert depending on the candidate's performance
Pay Range: $85/hr to $95/hr
**No C2C resumes are considered**
Responsibilities:

  • Implement, maintain, and evolve the big data platform and infrastructure
  • Responsible for designing, implementing, and maintaining backend REST API Services and ETL processes for Predictive Data Modeling, Machine Learning, Personalization, Recommendation, and Business Intelligence systems
  • Perform extensive research and analysis to make optimal architecture and design decisions
  • Write large amounts of code, perform code reviews, write unit tests, and documentation
  • Interface with other groups, including Product Management, QA, and Operations · Create quick proof-of-concept prototypes
  • Work in a scrum team with ML & Cloud Engineers
Qualifications:
  • Minimum of 4+ years of hands-on experience in Big Data technologies like Apache Iceberg, Spark, Spark ML, & KafkaAnA 
  • Master's in Computer Science or equivalent experience is preferred
  • Expertise with Spark and Iceberg are mandatory to have
  • Strong skills in statistical analysis: correlation analysis, regression analysis, univariate and multivariate analysis
  • Programming Language: Python coding expertise is required
  • Strong skills in algorithms, Data structures, UNIX/Linux, Scripting, Machine Learning (especially classification and unsupervised clustering), Data Modeling, Data warehousing, and Networking
  • Hands-on experience in building REST API’s
  • Team player with strong communication skills and ability to mentor ML & Cloud engineers in areas of Data Engineering
  • Desire to learn fast and pick up the latest and greatest technologies

Preferred qualifications:
  • Preferred 7+ years of experience in Big Data Technologies: AWS EMR, Iceberg, Spark, Kafka, & YARN
  • Machine Learning: PyTorch, TensorFlow, Spark ML
  • REST API: Flask, FastAPI, or Django
  • Data Quality tools such as Monte Carlo, Great Expectations, or Databand
  • Experience with teams using MLflow

**No C2C resumes are considered**
 

Thank you!

FocusKPI Hiring Team

Founded in 2010, FocusKPI, Inc. (FocusKPI) is a data science and technology firm specializing in predictive analytics practice and methodologies. FocusKPI is a US company headquartered in Silicon Valley, California, with an East Coast office in Boston, Massachusetts.

Top Skills

Apache Iceberg
Aws Emr
Databand
Django
Fastapi
Flask
Great Expectations
Kafka
Monte Carlo
Python
Spark
Spark Ml
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The Company
HQ: Santa Clara, CA
31 Employees
Year Founded: 2010

What We Do

FocusKPI brings deep domain experience in business and marketing analytics to enable our clients to unlock growth-driving insights from data. We help our clients develop action-oriented analytics and data science products that are customized to company-specific needs and integrated into their platforms for ongoing use. Our Accelerators, a toolbox of frameworks and models built over 10+ years, fast-track projects by capitalizing on our experience.

Capabilities:
Predictive Analytics
AI / Machine Learning
Measurement
Text Analysis

Key Industries Served:
Retail Media
B2B & B2C Sales, Marketing, and Merchandising
Software & Applications

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