Data Engineer

Overview

Full Time

Skills

Azure
AWS
GCP
SQL
Kafka

Job Details

Data Engineer

Employment Type: Full-Time
Start Date: ASAP
Location: Remote (occasional travel to Houston, TX for key meetings travel expenses covered)

Interview Process:

  1. Initial Screening Interview
  2. Technical / Coding Interview
  3. On-site Interview in Houston, TX (three interviews; travel expenses covered)

Overview

Our client, a fast-growing 3PL logistics company based in Houston, is building out a modern data platform to support analytics, reporting, and operational decision-making across the business. This role sits within a newly formed Data Products / Data Services team and will play a key role in designing and delivering high-quality, query-ready data used by BI, analytics, and external integrations.

This is a high-impact opportunity for a Data Engineer who enjoys working close to the business, partnering with BI teams, and helping shape data foundations in a growing organization.

Position Summary

The Data Engineer will serve as the bridge between raw source data and downstream BI and analytics use cases. This role focuses on transforming, modeling, and delivering clean, reliable data products using modern data tooling and cloud-native technologies. The ideal candidate brings a mix of strong SQL skills, data modeling experience, and software engineering fundamentals, along with a collaborative mindset and comfort working in an evolving team environment.

Key Responsibilities

  • Analyze raw source data and design, build, and maintain DBT models to produce structured, analytics-ready data products
  • Partner closely with BI Engineers to understand reporting and analytics requirements and translate them into scalable data models
  • Perform data transformation, validation, and enrichment to support reporting, dashboards, and downstream integrations
  • Enable data delivery into streaming platforms (e.g., Kafka) to support near real-time use cases
  • Ensure data is delivered in a queryable, high-quality format for BI tools such as Power BI
  • Develop and support integrations with third-party systems and vendors
  • Document data pipelines, transformation logic, models, and operational processes
  • Leverage Infrastructure as Code (Terraform) to deploy and manage data infrastructure
  • Own data delivery through successful loading into data warehouses such as Snowflake and Materialize

Required Skills & Experience

  • Strong SQL expertise for data transformation, modeling, and analysis
  • Experience with Python or a similar programming language
  • Familiarity with at least one major cloud platform (AWS, Azure, or Google Cloud Platform)
  • Understanding of data warehousing concepts and hands-on experience with platforms such as Snowflake, Redshift, or Materialize
  • Experience working with streaming technologies such as Kafka or equivalent
  • Hands-on experience with DBT or similar transformation frameworks
  • Familiarity with Infrastructure as Code tools (Terraform preferred)
  • Ability to produce clear, concise technical documentation

Ideal Candidate Profile

  • A well-rounded Data Engineer with both BI awareness and software engineering fundamentals
  • Strong communicator who works well with cross-functional teams
  • Brings a growth mindset and a passion for learning
  • Comfortable in an evolving, early-stage data environment
  • Pragmatic, adaptable, and open to new ideas and approaches
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.

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