Data Engineer

Siri InfoSolutions Inc

Plano (TX)

Hybrid

USD 140,000 - 210,000

Full time

14 days+

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Job summary

Siri InfoSolutions Inc. is seeking a Lead Big Data/Machine Learning Engineer in Plano, TX to design, build, and maintain scalable data pipelines.

The role blends hands-on development with leadership across Agile teams, enabling robust data movement and analytics across cloud environments. The ideal candidate will bring 10+ years of Python/SQL experience, deep cloud expertise, and a track record of delivering real-time data and data warehousing solutions using Snowflake, Databricks, and related

Qualifications

  • 10+ years of Python and SQL development experience.
  • 5+ years with public cloud environments (AWS, GCP, Azure).
  • 5+ years with distributed data/computing tools (MapReduce, Hadoop, EMR, Kafka, Spark).
  • 5+ years with real-time data and streaming applications.
  • 5+ years with data warehouses/services (Snowflake, Databricks, Redshift).
  • Experience leveraging AI tooling to accelerate software delivery.

Responsibilities

  • Lead data engineering design, development, and support.
  • Collaborate with Agile teams to deliver robust data solutions.
  • Mentor and guide a team of engineers focused on data movement and distributed systems.
  • Utilize Python, SQL, and cloud data warehousing services to optimize data flows.

Skills

Python
SQL
AWS
GCP
Azure
Databricks
Snowflake
Hadoop
Spark
Kafka
Data modeling
Real-time data
AI tooling

Tools

Tableau

Job description

City: Plano

State: Texas

Big Data/Machine Learning Engineer - Lead

Contract Start Date: 8+ months

Location: ONSITE HYBRID in Plano, TX

Onsite 3 days per week, remote 2 days per week

Must be willing to relocate/work onsite (2 weeks' notice from time of offer accept)

Zero exceptions will be made, as this is corporate policy - no delayed remote start, no remote work

Job Description

Lead Data Engineer (Python, AWS, SQL, Snowflake, Databricks)

What You'll Do
  • Collaborate with and across Agile teams to design, develop, test, implement, and support technical solutions using data movement tools and technologies
  • As a lead developer, work with a team of developers who have deep experience in data movement, distributed computing, and full-stack systems
  • Utilize programming languages like Python, SQL, and Open Source RDBMS and NoSQL databases and cloud-based data warehousing services such as Snowflake and Databricks
  • Optimize information systems for end-users and downstream application consumers by using sound data design practices
  • Share your passion for staying on top of tech trends, experimenting with and learning new technologies, participating in internal & external technology communities, and mentoring other members of the engineering community
Tech Stack: Data Engineering skillset
  • 10+ years' experience in application development using Python and SQL
  • 5+ years' experience with public cloud: AWS, GCP, Azure
  • 5+ years' experience with distributed data/computing tools (MapReduce, Hadoop, EMR, Kafka, Spark).
  • 5+ years' experience working with real-time data and streaming applications.
  • 5+ years' experience with data warehouses and services (Snowflake, Databricks, Redshift)
  • 5+ years' experience with data modeling for data warehousing
  • Experience leveraging interactive AI tooling (Claude Code, Windsurf, GitHub Copilot) to accelerate software delivery
Nice to Have
  • Cube for semantic data layer
  • Tableau/Quick for BI
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