Lead Data Engineer in Plano, TX (Hybrid & onsite interview)

Amtex Systems Inc; Plano (TX); Hybrid; USD 140,000 - 200,000; Full time

Job summary

Capital One in Plano, TX is seeking a Lead Data Engineer to focus on modern cloud data engineering, not just traditional ETL. You will join a team building a developer productivity metrics platform, mentoring engineers and delivering scalable data pipelines using Snowflake, Databricks, and AWS.

The role requires 10+ years of software/data engineering, strong Python/SQL skills, and a track record of leading teams in cloud-based data platforms.

Qualifications

• 10+ years software/data engineering experience.
• Advanced SQL proficiency.
• Lead-level experience mentoring engineers.
• Strong Python experience.
• Cloud exposure: AWS plus Azure or GCP acceptable if also AWS.
• Experience with Snowflake, Databricks and Redshift.
• Data modeling and ELT/ETL experience.
• Real-time data and streaming knowledge is beneficial.

Responsibilities

• Collaborate with Agile teams to design, develop, test, implement, and support data solutions.
• Lead a team of developers specializing in data movement, distributed computing, and full‑stack systems.
• Build and maintain data pipelines using Python, SQL, Snowflake and Databricks.
• Optimize information systems for end‑users and downstream consumers.
• Mentor junior engineers and stay current with new tech trends.

Skills

Python

SQL

Mentoring

Leadership

Tools

Snowflake

Databricks

Redshift

Spark

Kafka

Hadoop/EMR

AWS

Job description

We have an urgent role of Must sit onsite in Plano, TX hybrid three days per week.

12+ Month contract

This is a Lead Data Engineer role with a heavy emphasis on modern cloud data engineering rather than traditional ETL development. The project (developer productivity metrics platform) makes it more attractive than a typical financial data warehouse position because it focuses on engineering analytics rather than banking data.

The biggest challenge will be finding candidates who satisfy all of the following:

• 10+ years Python
• AWS
• Snowflake
• Databricks
• Data modeling
• AI coding tools
• Willing to work hybrid in Plano
• Contract only

Core Must-Haves

Experience

• 10+ years software/data engineering
• Advanced SQL
• Lead-level experience mentoring engineers

Cloud

• AWS preferred
• Azure or GCP acceptable if they also have AWS

Data Platforms

Must have experience with several of:

• Snowflake
• Databricks
• Redshift

Snowflake + Databricks together will likely be expected.

Strong experience with

• Spark
• Kafka
• Hadoop/EMR (less important today)

Need experience building

• ELT/ETL
• governance
• data modeling

Job Description:

At Capital One, you'll be part of a big group of makers, breakers, doers and disruptors, who solve real problems and meet real customer needs. We are seeking Data Engineers who are passionate about data, data modeling, data quality, governance, permissible use, and building data pipelines with emerging technologies.

Project: As a lead data engineer, you will have the opportunity to work on the CODE Metrics team developing a developer productivity metrics platform used by engineers across the enterprise to measure developer effectiveness and happiness.

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