Lead Data Engineer

Austin, TX, US • Posted 1 day ago • Updated 1 day ago
Contract W2
12 Months
No Travel Required
On-site
$65 - $70/yr
Fitment

Dice Job Match Score™

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Job Details

Skills

  • Analytical Skill
  • Artificial Intelligence
  • Analytics
  • Concurrent Computing
  • Big Data
  • Dashboard
  • Data Modeling
  • Data Architecture
  • Data Extraction
  • Data Engineering
  • Data Warehouse
  • Data Integrity
  • Interfaces
  • Natural Language
  • Rapid Prototyping
  • Python
  • SQL

Summary

Hi 
The following requirement is open with our client.

Title                                       : Lead Data Engineer

Location                               : Austin, TX

Duration                              : 12 Months                                                                                                                                                      

Relevant Experience (in Yrs.)    :
Onsite role (F2F interview)
Detailed Job Description:

Data Architecture & Pipeline Engineering:

• Architect, build, and optimize high-throughput, low-latency data pipelines handling large-scale and complex datasets.

• Design analytical models and transformation layers utilizing Snowflake, SingleStore, and DBT.

• Ensure high performance, data integrity, and cost efficiency across distributed architectures.

Business Engagement & Rapid Prototyping:

• Engage directly with senior business leaders to understand strategic needs, translate ambiguity into technical roadmaps, and convert ideas into production-ready POCs rapidly.

• Lead end-to-end technical delivery from discovery through architecture, implementation, and handover.

AI-Powered Reporting & Modern Analytics:

• Build next-generation reporting solutions that integrate AI/LLMs (e.g., automated narrative generation, natural language to SQL/analytics, dynamic summarization).

• Design APIs and data consumption layers to serve operational dashboards and interactive analytics applications.

 

Qualifications & Skillsets Must-Have:

• Big Data & Data Warehousing: 8+ years of hands-on data engineering/architecture experience with massive, complex data sets.

• Deep expertise in Snowflake; strong experience with SingleStore (or high-concurrency real-time databases) highly preferred.

• Modern Data Stack: Expert-level data modeling and transformation workflows using dbt and robust orchestrators/pipelines.

• Stakeholder & Business Interaction: Proven ability to work directly with business stakeholders, gather requirements, present technical solutions, and iterate quickly based on feedback.

• AI-Enabled Analytics: Demonstrated capability in leveraging AI/LLM tooling to power reporting, intelligent data extraction, or conversational analytics interfaces.

• Core Languages: Advanced SQL and Python.

Must Have Skill

Snowflake

GenAI

Python

DBT

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: 10117479
  • Position Id: 9110027
  • Posted 1 day ago
Contact the job poster
RL

Rajya Laxmi

Recruiter @ ASCII Group LLC
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