Data Engineer

Reach Velocity - Emerging Technology ?? ??; Houston (TX); On-site; USD 135,000 - 165,000; Full time

Benefits offered by this job

Medical, dental and vision cover

Paid leave

401(k) with employer contributions

Life insurance

Short- and long-term disability cover

Job summary

Reach Velocity - Emerging Technology is seeking a data engineer for an onsite role in Houston, TX. You will build Python services, optimize warehouse design and SQL performance, and implement reliable data checks while collaborating with users to understand needs.

The ideal candidate has at least three years of commercial data engineering experience, strong Python/SQL, and familiarity with cloud data infrastructure and workflow orchestration (AWS, Snowflake, dbt, Prefect).

Qualifications

• Three years of commercial data engineering experience in production.
• Strong Python and SQL fundamentals with production familiarity.
• Experience with cloud data infra and workflow orchestration.

Responsibilities

• Develop Python services and maintainable data workflows.
• Improve warehouse design and SQL performance as usage grows.
• Replace older integrations with consistent engineering approaches.
• Build checks for data quality and timeliness.
• Collaborate with users to understand needs and ensure reliability.

Skills

Python

SQL

Data engineering

Cloud data infra

Workflow orchestration

AWS

Snowflake

dbt

Prefect

Docker

Terraform

Python API development

Education

Bachelor's degree in a related field

Tools

AWS

Snowflake

dbt

Prefect

Docker

Terraform

Python API development

Job description

Houston, Texas · Onsite · Base salary up to $150,000

Good data engineering makes complex information dependable and easy to use. We’re looking for someone who enjoys that challenge, from bringing new data sources into a platform to improving the systems people rely on every day.

Our client is an established international organisation modernising its data infrastructure. You’ll join an experienced engineering team and help develop the foundations for analytics, business applications and AI.

This is an onsite position in Houston, Texas, offering a base salary of up to $150,000.

The opportunity

Your work will combine new development with practical platform improvements. One project might involve integrating an external API; another could mean redesigning a warehouse model, replacing an ageing workflow or investigating a data-quality issue.

You’ll work closely with the people using your systems, understand their needs and make informed decisions about reliability, performance and cost. You’ll remain responsible for your components once they’re live.

Where you’ll contribute

• Develop Python services and workflows that are straightforward to test, maintain and support.
• Improve warehouse design and SQL performance as usage grows.
• Replace older integrations with consistent engineering approaches.
• Build checks that identify missing, delayed or inconsistent data.
• Help teams discover and understand the information available to them.
• Troubleshoot production issues and address their underlying causes.

Your background

You’ll bring at least three years of commercial data engineering experience, with examples of systems you’ve built and supported in production.

Strong Python and SQL are central to the role. You should be comfortable discussing how you structure code, model data, test changes and diagnose performance problems.

We’re also looking for experience with cloud data infrastructure and workflow orchestration. You don’t need an exact match to the technology stack, but you should understand the trade-offs between different storage and processing approaches.

You’ll be able to ask good questions, explain decisions clearly and work through requirements with non-engineering colleagues.

Technology you’ll work with:

The environment includes AWS, Snowflake, dbt and Prefect, alongside messaging, caching and time-series technologies. Experience with alternatives is welcome.

Exposure to Docker, Terraform or Python API development would be useful.

What makes this role interesting

You’ll own meaningful parts of a platform, learn from senior engineers and see your work used directly across the business. There’s scope to grow beyond individual pipelines into broader platform design and delivery.

Medical, dental and vision cover, paid leave, a 401(k) with employer contributions, life insurance, and short- and long-term disability cover.